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75 event found
Content provider: Sydney Informatics Hub
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Wearable tecnhology community event
7 June 2022
Wearable tecnhology community event https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/wearable-tecnhology-community-event The Sydney Informatics Hub has encountered researchers working with activity tracking data such as wearable devices, from areas as diverse as life sciences, veterinary science, business, and various arenas of medicine and health. We would like to support the University's researchers to build on synergies in their work. We hope to do this by coordinating symposia where they can present their research around collecting, analysing and modelling physical activity data, in a collegial environment. We would aim to meet up to four times a year, beginning in 2021. This forum will be open to presentations of work in progress or preparation, as well as concluded work. Through creating community we hope to foster interdisciplinary communication and collaboration opportunities, which will speed up the path to high quality and innovative science. Location: Virtual attendence via Zoom along with an in person option H04.02.273.Merewether Building.Merewether Lecture Room (3) 273, 2pm. 2022-06-07 14:00:00 UTC 2022-06-07 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Research essentials - analysing your data
8 June 2022
Research essentials - analysing your data https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/research-essentials-analysing-your-data **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-06-08 09:30:00 UTC 2022-06-08 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Meta-Analysis – an introduction
8 June 2022
Meta-Analysis – an introduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/meta-analysis-an-introduction **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-06-08 11:30:00 UTC 2022-06-08 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Meta-Analysis: an introduction
8 June 2022
Meta-Analysis: an introduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/meta-analysis-an-introduction-245cc8c2-505e-4c8b-99d7-ee0a1c5387ac **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-06-08 11:30:00 UTC 2022-06-08 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Introduction to survival analysis
8 June 2022
Introduction to survival analysis https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/introduction-to-survival-analysis Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name. In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset. Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-06-08 14:00:00 UTC 2022-06-08 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Experimental design
21 June 2022
Experimental design https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/experimental-design This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-06-21 09:30:00 UTC 2022-06-21 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Linear Models 3 - advanced topics, tips and tricks
21 June 2022
Linear Models 3 - advanced topics, tips and tricks https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-3-advanced-topics-tips-and-tricks **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** - **In person**: Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. - **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-06-21 11:30:00 UTC 2022-06-21 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Intro to REDCap
21 June 2022
Intro to REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-06-21 13:00:00 UTC 2022-06-21 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Multivariate statistical analysis 1 - dimension reduction
21 June 2022
Multivariate statistical analysis 1 - dimension reduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-06-21 14:00:00 UTC 2022-06-21 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
A gentle introduction to computer vision
23 June 2022
A gentle introduction to computer vision https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/a-gentle-introduction-to-computer-vision This is the registration page for SIH's data science short training webinar on an introduction to computer vision and transfer learning, run by the Sydney Informatics Hub. \*\*\* Self driving cars. Face recognition. X-Ray, CT and MRI analysis. Digital pathology. These are just the tip of the iceberg of applications for a technology called computer vision. We've had cameras and computers for a long time, but now we have the technology to make our computers understand the pictures and videos captured by our cameras. Researchers around the world are competing to develop better and better computer vision algorithms that can understand and make predictions about pictures. One of the most famous models is called YOLO: You Only Look Once. YOLO models have state of the art prediction speed, allowing computers to make extremely fast decisions about images they are seeing. From a research perspective, the incredibly exciting thing about many of these models is that we can take algorithms developed by Facebook, Microsoft, Google and the R&D departments of other tech giants, and apply them to completely different datasets that are part of our research. This enables us to build powerful models and tools that we can use to better understand our world - and to publish exciting, high-impact papers. [We'll mention a few case studies of how we've done just this at SIH.] In this workshop, we'll show you how you can take a YOLO model that has been trained to solve a problem on one dataset, and then fine tune the model to solve a similar problem but with a totally new dataset. You'll learn the basic concepts behind computer vision and transfer learning, and will be shown how to use industry leading open source tools in Python, including Pytorch and torchvision, and how to use them on cloud computing virtual environments so that you can get access to powerful CUDA enabled GPUs to accelerate machine learning. \*\*\* **Attendance options:** **Online:** This is a Zoom webinar ONLY. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-06-23 15:30:00 UTC 2022-06-23 17:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Surveys in REDCap
28 June 2022
Surveys in REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/surveys-in-redcap Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-06-28 13:00:00 UTC 2022-06-28 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Data transfer and Research Data Storage (RDS) for HPC
21 July 2022
Data transfer and Research Data Storage (RDS) for HPC https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/data-transfer-and-research-data-storage-rds-for-hpc ### **Sydney Informatics Hub Research Computing Training Series** ## Data transfer and Research Data Storage (RDS) for HPC **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn to navigate and interact with the University of Sydney's Research Data Storage options. Learn how to transfer data between your local computer, an external source, the Research Data Store (RDS) and the Artemis High Performance Computer (HPC). Learn how to back up HPC output onto the RDS. **Target audience:** Students and staff who would like to learn how to utilise the RDS and particularly how it integrates with the Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** This course is designed as a 2-part session, with 'Introduction to the Artemis HPC'. IT IS RECOMMENDED TO REGISTER FOR IT. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2022-07-21 10:00:00 UTC 2022-07-21 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Intro to REDCap
10 August 2022
Intro to REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap-b622a69e-e69d-4650-9ff9-f37c54d301ff Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-08-10 10:00:00 UTC 2022-08-10 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Intro to REDCap
17 - 10 August 2022
Intro to REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap-0197be8f-29cf-4097-8ab4-bf44bc6b2322 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-08-17 09:30:00 UTC 2022-08-10 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Research Essentials - analysing your data
17 August 2022
Research Essentials - analysing your data https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/research-essentials-analysing-your-data-e96d6627-7133-4fd7-b9cb-1425e644cde2 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the **_In person_** ticket option. **Online:** Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-08-17 09:30:00 UTC 2022-08-17 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Surveys in REDCap
17 August 2022
Surveys in REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/surveys-in-redcap-21998846-7e8b-4efc-b1df-4fc023933c1e Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-08-17 10:00:00 UTC 2022-08-17 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Experimental Design
17 August 2022
Experimental Design https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/experimental-design-0ede1900-8937-4ba1-b019-590691bf3bd7 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-08-17 11:30:00 UTC 2022-08-17 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Power and Sample Size Calculation
17 August 2022
Power and Sample Size Calculation https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/power-and-sample-size-calculation This is the registration page for **Power and Sample Size Calculation**, run by the Sydney Informatics Hub. This workshop covers the theory and concepts of power analysis and includes worked examples using G\*Power software. Attendees will follow the examples on their own laptop PC or Mac. It is essential you have G\*Power pre-installed on your machine prior to the workshop. Download software from the G\*Power website [here](http://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower.html). (It's free, and available for both Windows and MacOS) **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-17 14:00:00 UTC 2022-08-17 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)
30 August 2022
Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-1-linear-regression-anova-ancova-and-repeated-measures-a-simple-mixed-model **Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)** focuses on Practical Data Analysis by presenting Statistical Workflows applicable in any software for 4 of the most common univariate analyses: linear regression, ANOVA, ANCOVA, and repeated measures (a simple mixed model). All assuming a normal (gaussian) residual. These workflows can be easily extended to more complex models. The R code used to create output is also included. This is one of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 09:30:00 UTC 2022-08-30 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)
30 August 2022
Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-2-logistic-and-poisson-count-regression-an-introduction-to-generalised-linear-models-glm **Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)**, focuses on Practical data analysis by presenting statistical workflows applicable in any software for two of the more common GLMM’s: Logistic regression for binary data (using a Binomial distribution); and Poisson/count regression for count data (using a Poisson distribution). The GLM framework is also described in detail. The R code used to create output is also included. This is the second of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around statistical workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 11:30:00 UTC 2022-08-30 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Statistical Model Building
30 August 2022
Statistical Model Building https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/statistical-model-building This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 14:00:00 UTC 2022-08-30 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Finding quotes and speakers in text using the ATAP quotation tool
8 September 2022
Finding quotes and speakers in text using the ATAP quotation tool https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/finding-quotes-and-speakers-in-text-using-the-atap-quotation-tool This is the registration page for SIH's 1 hour long webinar on "Finding quotes and speakers in text using the ATAP Quotation tool", run by the Sydney Informatics Hub. \*\*\* The Australian Text Analytics Platform (ATAP) project is a project that aims to provide researchers with the tools and training for analysing, processing, and exploring text. As part of this project, we have adapted with permission a Quotation Tool, developed by the Discourse Processing Lab at Simon Fraser University. The **Quotation tool** uses Natural Language Processing (NLP) approaches to extract quotes from large (or small) text datasets, all from the comfort of a web browser. The tool can identify from the sentence "Apple said that Tim Cook will be in Australia next month." the phrase "Tim Cook will be in Australia next month" as the quote and "Apple" as the speaker. It also allows users to extract and visualise additional information right in the web browser, including identifying named entities affiliated with the speakers and in the quotes themselves, such as "Apple", "Tim Cook" and "Australia" in the above example. The tool supports saving the results locally for further analysis, enabling you to gain meaningful insights into your research questions. This 1-hour online workshop will be of interest to researchers and HDR students in Linguistics, Business, Law and Science and others who are interested in working with text datasets - **no background knowledge of NLP or coding experience is required.** You can BYO a small dataset (10-15 texts, stored as one text per file or all texts compressed in a zip file) – or use one of our sample datasets to get started. \*\*\* Attendance options: Online: This is a Zoom webinar ONLY. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub This workshop is provided at no cost to researchers studying at, employed by or affiliated with universities and other research organisations across Australia and New Zealand. Please use your official University of Sydney, university or research organisation email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc 2022-09-08 12:00:00 UTC 2022-09-08 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Design and Analysis of Surveys 1: Best Practice
5 October 2022
Design and Analysis of Surveys 1: Best Practice https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/design-and-analysis-of-surveys-1-best-practice This workshop is full of practical tips and guidelines on how to design, field and analyse standard surveys. Some of the topics considered will be: how to design a survey, line vs discrete scales, the effect of colour, optimal discrete/LIKERT scales, pros and cons of common analyses (e.g. linear and logistic regression) and optimal ways to export data. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 09:30:00 UTC 2022-10-05 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Design and Analysis of Surveys 1: Advanced Topics
5 October 2022
Design and Analysis of Surveys 1: Advanced Topics https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/design-and-analysis-of-surveys-1-advanced-topics This workshop builds on the material in Surveys 1. It explores questionnaire validation and index creation using methods such as: Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) using Structural Equation Modelling (SEM), and Conjoint models such as Choice modelling. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 11:30:00 UTC 2022-10-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Design and Analysis of Surveys 2: Advanced Topics
5 October 2022
Design and Analysis of Surveys 2: Advanced Topics https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/design-and-analysis-of-surveys-2-advanced-topics This workshop builds on the material in Surveys 1. It explores questionnaire validation and index creation using methods such as: Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) using Structural Equation Modelling (SEM), and Conjoint models such as Choice modelling. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 11:30:00 UTC 2022-10-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Multivariate Statistical Analysis 1: Dimension Reduction
5 October 2022
Multivariate Statistical Analysis 1: Dimension Reduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-5209a7a6-36ba-4a48-923d-58f236456361 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-10-05 14:00:00 UTC 2022-10-05 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Intro to REDCap (webinar)
6 October 2022
Intro to REDCap (webinar) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap-webinar Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-10-06 10:00:00 UTC 2022-10-06 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Introduction to Artemis HPC
12 October 2022
Introduction to Artemis HPC https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/introduction-to-artemis-hpc ### **Sydney Informatics Hub Research Computing Training Series** ## Introduction to the Artemis High Performance Computer (HPC) **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn about the University of Sydney’s HPC ‘Artemis’, including directory structure, software, and how to submit and monitor compute jobs using the PBS Pro scheduling software. Also learn about the national HPC facilities and cloud services available. Artemis is available at no cost to University of Sydney staff and students. **Target audience:** Students and staff who would like to learn how to run compute jobs on Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** It is recommended to register for the Data transfer and RDS for HPC course to learn how to move data to Artemis. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2022-10-12 10:00:00 UTC 2022-10-12 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Surveys in REDCap (webinar)
13 October 2022
Surveys in REDCap (webinar) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/surveys-in-redcap-webinar Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-10-13 10:00:00 UTC 2022-10-13 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Meta-Analysis – An Introduction
19 October 2022
Meta-Analysis – An Introduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/meta-analysis-an-introduction-ebfd3995-3fc5-4e57-bde6-0c113baec414 **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-10-19 09:30:00 UTC 2022-10-19 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
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Wearable tecnhology community event
7 June 2022
Wearable tecnhology community event https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/wearable-tecnhology-community-event The Sydney Informatics Hub has encountered researchers working with activity tracking data such as wearable devices, from areas as diverse as life sciences, veterinary science, business, and various arenas of medicine and health. We would like to support the University's researchers to build on synergies in their work. We hope to do this by coordinating symposia where they can present their research around collecting, analysing and modelling physical activity data, in a collegial environment. We would aim to meet up to four times a year, beginning in 2021. This forum will be open to presentations of work in progress or preparation, as well as concluded work. Through creating community we hope to foster interdisciplinary communication and collaboration opportunities, which will speed up the path to high quality and innovative science. Location: Virtual attendence via Zoom along with an in person option H04.02.273.Merewether Building.Merewether Lecture Room (3) 273, 2pm. 2022-06-07 14:00:00 UTC 2022-06-07 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Research essentials - analysing your data
8 June 2022
Research essentials - analysing your data https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/research-essentials-analysing-your-data **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-06-08 09:30:00 UTC 2022-06-08 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Meta-Analysis – an introduction
8 June 2022
Meta-Analysis – an introduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/meta-analysis-an-introduction **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-06-08 11:30:00 UTC 2022-06-08 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Meta-Analysis: an introduction
8 June 2022
Meta-Analysis: an introduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/meta-analysis-an-introduction-245cc8c2-505e-4c8b-99d7-ee0a1c5387ac **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-06-08 11:30:00 UTC 2022-06-08 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Introduction to survival analysis
8 June 2022
Introduction to survival analysis https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/introduction-to-survival-analysis Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name. In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset. Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-06-08 14:00:00 UTC 2022-06-08 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Experimental design
21 June 2022
Experimental design https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/experimental-design This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-06-21 09:30:00 UTC 2022-06-21 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Linear Models 3 - advanced topics, tips and tricks
21 June 2022
Linear Models 3 - advanced topics, tips and tricks https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-3-advanced-topics-tips-and-tricks **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** - **In person**: Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. - **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-06-21 11:30:00 UTC 2022-06-21 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Intro to REDCap
21 June 2022
Intro to REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-06-21 13:00:00 UTC 2022-06-21 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Multivariate statistical analysis 1 - dimension reduction
21 June 2022
Multivariate statistical analysis 1 - dimension reduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-06-21 14:00:00 UTC 2022-06-21 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
A gentle introduction to computer vision
23 June 2022
A gentle introduction to computer vision https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/a-gentle-introduction-to-computer-vision This is the registration page for SIH's data science short training webinar on an introduction to computer vision and transfer learning, run by the Sydney Informatics Hub. \*\*\* Self driving cars. Face recognition. X-Ray, CT and MRI analysis. Digital pathology. These are just the tip of the iceberg of applications for a technology called computer vision. We've had cameras and computers for a long time, but now we have the technology to make our computers understand the pictures and videos captured by our cameras. Researchers around the world are competing to develop better and better computer vision algorithms that can understand and make predictions about pictures. One of the most famous models is called YOLO: You Only Look Once. YOLO models have state of the art prediction speed, allowing computers to make extremely fast decisions about images they are seeing. From a research perspective, the incredibly exciting thing about many of these models is that we can take algorithms developed by Facebook, Microsoft, Google and the R&D departments of other tech giants, and apply them to completely different datasets that are part of our research. This enables us to build powerful models and tools that we can use to better understand our world - and to publish exciting, high-impact papers. [We'll mention a few case studies of how we've done just this at SIH.] In this workshop, we'll show you how you can take a YOLO model that has been trained to solve a problem on one dataset, and then fine tune the model to solve a similar problem but with a totally new dataset. You'll learn the basic concepts behind computer vision and transfer learning, and will be shown how to use industry leading open source tools in Python, including Pytorch and torchvision, and how to use them on cloud computing virtual environments so that you can get access to powerful CUDA enabled GPUs to accelerate machine learning. \*\*\* **Attendance options:** **Online:** This is a Zoom webinar ONLY. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-06-23 15:30:00 UTC 2022-06-23 17:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Surveys in REDCap
28 June 2022
Surveys in REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/surveys-in-redcap Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-06-28 13:00:00 UTC 2022-06-28 15:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Data transfer and Research Data Storage (RDS) for HPC
21 July 2022
Data transfer and Research Data Storage (RDS) for HPC https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/data-transfer-and-research-data-storage-rds-for-hpc ### **Sydney Informatics Hub Research Computing Training Series** ## Data transfer and Research Data Storage (RDS) for HPC **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn to navigate and interact with the University of Sydney's Research Data Storage options. Learn how to transfer data between your local computer, an external source, the Research Data Store (RDS) and the Artemis High Performance Computer (HPC). Learn how to back up HPC output onto the RDS. **Target audience:** Students and staff who would like to learn how to utilise the RDS and particularly how it integrates with the Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** This course is designed as a 2-part session, with 'Introduction to the Artemis HPC'. IT IS RECOMMENDED TO REGISTER FOR IT. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2022-07-21 10:00:00 UTC 2022-07-21 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Intro to REDCap
10 August 2022
Intro to REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap-b622a69e-e69d-4650-9ff9-f37c54d301ff Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-08-10 10:00:00 UTC 2022-08-10 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Intro to REDCap
17 - 10 August 2022
Intro to REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap-0197be8f-29cf-4097-8ab4-bf44bc6b2322 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-08-17 09:30:00 UTC 2022-08-10 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Research Essentials - analysing your data
17 August 2022
Research Essentials - analysing your data https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/research-essentials-analysing-your-data-e96d6627-7133-4fd7-b9cb-1425e644cde2 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the **_In person_** ticket option. **Online:** Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-08-17 09:30:00 UTC 2022-08-17 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Surveys in REDCap
17 August 2022
Surveys in REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/surveys-in-redcap-21998846-7e8b-4efc-b1df-4fc023933c1e Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-08-17 10:00:00 UTC 2022-08-17 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Experimental Design
17 August 2022
Experimental Design https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/experimental-design-0ede1900-8937-4ba1-b019-590691bf3bd7 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-08-17 11:30:00 UTC 2022-08-17 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Power and Sample Size Calculation
17 August 2022
Power and Sample Size Calculation https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/power-and-sample-size-calculation This is the registration page for **Power and Sample Size Calculation**, run by the Sydney Informatics Hub. This workshop covers the theory and concepts of power analysis and includes worked examples using G\*Power software. Attendees will follow the examples on their own laptop PC or Mac. It is essential you have G\*Power pre-installed on your machine prior to the workshop. Download software from the G\*Power website [here](http://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower.html). (It's free, and available for both Windows and MacOS) **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-17 14:00:00 UTC 2022-08-17 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)
30 August 2022
Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-1-linear-regression-anova-ancova-and-repeated-measures-a-simple-mixed-model **Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)** focuses on Practical Data Analysis by presenting Statistical Workflows applicable in any software for 4 of the most common univariate analyses: linear regression, ANOVA, ANCOVA, and repeated measures (a simple mixed model). All assuming a normal (gaussian) residual. These workflows can be easily extended to more complex models. The R code used to create output is also included. This is one of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 09:30:00 UTC 2022-08-30 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)
30 August 2022
Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-2-logistic-and-poisson-count-regression-an-introduction-to-generalised-linear-models-glm **Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)**, focuses on Practical data analysis by presenting statistical workflows applicable in any software for two of the more common GLMM’s: Logistic regression for binary data (using a Binomial distribution); and Poisson/count regression for count data (using a Poisson distribution). The GLM framework is also described in detail. The R code used to create output is also included. This is the second of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around statistical workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 11:30:00 UTC 2022-08-30 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Statistical Model Building
30 August 2022
Statistical Model Building https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/statistical-model-building This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 14:00:00 UTC 2022-08-30 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Finding quotes and speakers in text using the ATAP quotation tool
8 September 2022
Finding quotes and speakers in text using the ATAP quotation tool https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/finding-quotes-and-speakers-in-text-using-the-atap-quotation-tool This is the registration page for SIH's 1 hour long webinar on "Finding quotes and speakers in text using the ATAP Quotation tool", run by the Sydney Informatics Hub. \*\*\* The Australian Text Analytics Platform (ATAP) project is a project that aims to provide researchers with the tools and training for analysing, processing, and exploring text. As part of this project, we have adapted with permission a Quotation Tool, developed by the Discourse Processing Lab at Simon Fraser University. The **Quotation tool** uses Natural Language Processing (NLP) approaches to extract quotes from large (or small) text datasets, all from the comfort of a web browser. The tool can identify from the sentence "Apple said that Tim Cook will be in Australia next month." the phrase "Tim Cook will be in Australia next month" as the quote and "Apple" as the speaker. It also allows users to extract and visualise additional information right in the web browser, including identifying named entities affiliated with the speakers and in the quotes themselves, such as "Apple", "Tim Cook" and "Australia" in the above example. The tool supports saving the results locally for further analysis, enabling you to gain meaningful insights into your research questions. This 1-hour online workshop will be of interest to researchers and HDR students in Linguistics, Business, Law and Science and others who are interested in working with text datasets - **no background knowledge of NLP or coding experience is required.** You can BYO a small dataset (10-15 texts, stored as one text per file or all texts compressed in a zip file) – or use one of our sample datasets to get started. \*\*\* Attendance options: Online: This is a Zoom webinar ONLY. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub This workshop is provided at no cost to researchers studying at, employed by or affiliated with universities and other research organisations across Australia and New Zealand. Please use your official University of Sydney, university or research organisation email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc 2022-09-08 12:00:00 UTC 2022-09-08 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Design and Analysis of Surveys 1: Best Practice
5 October 2022
Design and Analysis of Surveys 1: Best Practice https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/design-and-analysis-of-surveys-1-best-practice This workshop is full of practical tips and guidelines on how to design, field and analyse standard surveys. Some of the topics considered will be: how to design a survey, line vs discrete scales, the effect of colour, optimal discrete/LIKERT scales, pros and cons of common analyses (e.g. linear and logistic regression) and optimal ways to export data. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 09:30:00 UTC 2022-10-05 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Design and Analysis of Surveys 1: Advanced Topics
5 October 2022
Design and Analysis of Surveys 1: Advanced Topics https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/design-and-analysis-of-surveys-1-advanced-topics This workshop builds on the material in Surveys 1. It explores questionnaire validation and index creation using methods such as: Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) using Structural Equation Modelling (SEM), and Conjoint models such as Choice modelling. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 11:30:00 UTC 2022-10-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Design and Analysis of Surveys 2: Advanced Topics
5 October 2022
Design and Analysis of Surveys 2: Advanced Topics https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/design-and-analysis-of-surveys-2-advanced-topics This workshop builds on the material in Surveys 1. It explores questionnaire validation and index creation using methods such as: Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) using Structural Equation Modelling (SEM), and Conjoint models such as Choice modelling. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-10-05 11:30:00 UTC 2022-10-05 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Multivariate Statistical Analysis 1: Dimension Reduction
5 October 2022
Multivariate Statistical Analysis 1: Dimension Reduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-5209a7a6-36ba-4a48-923d-58f236456361 **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2022-10-05 14:00:00 UTC 2022-10-05 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Intro to REDCap (webinar)
6 October 2022
Intro to REDCap (webinar) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap-webinar Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-10-06 10:00:00 UTC 2022-10-06 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Introduction to Artemis HPC
12 October 2022
Introduction to Artemis HPC https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/introduction-to-artemis-hpc ### **Sydney Informatics Hub Research Computing Training Series** ## Introduction to the Artemis High Performance Computer (HPC) **Please note: OWN LAPTOP REQUIRED** with a terminal client installed. **Essential pre-requisites**: Competency on the Unix/Linux command line. If you are interested in learning HPC but have no Unix/Linux command-line skills, you should first take an 'Introduction to Unix/Linux' course. We will go through the basics if you have no experience. **Synopsis:** Learn about the University of Sydney’s HPC ‘Artemis’, including directory structure, software, and how to submit and monitor compute jobs using the PBS Pro scheduling software. Also learn about the national HPC facilities and cloud services available. Artemis is available at no cost to University of Sydney staff and students. **Target audience:** Students and staff who would like to learn how to run compute jobs on Artemis HPC. Participants must have a valid USYD unikey. **Follow-on courses:** It is recommended to register for the Data transfer and RDS for HPC course to learn how to move data to Artemis. **Course notes and additional courses:** [https://sydney-informatics-hub.github.io/training.artemis/](https://sydney-informatics-hub.github.io/training.artemis/) **For more information:** Email sih.training@sydney.edu.au **Sign up for email alerts about training:** [https://mailman.sydney.edu.au/mailman/listinfo/computing\_training](https://mailman.sydney.edu.au/mailman/listinfo/computing_training) 2022-10-12 10:00:00 UTC 2022-10-12 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Surveys in REDCap (webinar)
13 October 2022
Surveys in REDCap (webinar) https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/surveys-in-redcap-webinar Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-10-13 10:00:00 UTC 2022-10-13 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Meta-Analysis – An Introduction
19 October 2022
Meta-Analysis – An Introduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/meta-analysis-an-introduction-ebfd3995-3fc5-4e57-bde6-0c113baec414 **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2022-10-19 09:30:00 UTC 2022-10-19 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
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