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  • Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne

    12 - 13 December 2024

    Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne https://dresa.org.au/events/intensive-longitudinal-methods-design-and-analysis-in-mplus-with-peter-koval-melbourne-school-of-psychological-sciences-university-of-melbourne This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis. Participants will gain practical skills in designing, analyzing, and interpreting intensive longitudinal data, enhancing the rigor and impact of their research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-12 10:00:00 UTC 2024-12-13 15:30:00 UTC Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []

  • Coordinated Access for Data, Researchers and Environments (CADRE)

    12 December 2024

    Coordinated Access for Data, Researchers and Environments (CADRE) https://dresa.org.au/events/coordinated-access-for-data-researchers-and-environments-cadre Join us online to learn about CADRE: a sensitive data access management platform for social sciences and related disciplines 2024-12-12 11:00:00 UTC 2024-12-12 12:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all Science & TechnologyScience

  • Data Management Plans (DMPs) Interest Group 2024 #3

    13 December 2024

    Data Management Plans (DMPs) Interest Group 2024 #3 https://dresa.org.au/events/data-management-plans-dmps-interest-group-2024-3 We are an Australasian interest group for people interested in discussing, building and improving Data Management Plans (DMPs). 2024-12-13 13:30:00 UTC 2024-12-13 14:30:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 120 meeting open_to_all Science & TechnologyOther

  • Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    18 December 2024

    Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []

  • Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina

    8 - 11 January 2025

    Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina https://dresa.org.au/events/bayesian-spatial-and-spatio-temporal-health-modeling-in-r-with-andrew-lawson-department-of-public-health-sciences-medical-university-of-south-carolina This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science. 2025-01-08 01:00:00 UTC 2025-01-11 04:00:00 UTC Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London

    13 - 18 January 2025

    Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-research-methods-and-statistics-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive 5-day workshop provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts. 2025-01-13 20:30:00 UTC 2025-01-18 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc.

    14 - 17 January 2025

    Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-introductory-course-with-michael-borenstein-biostat-inc This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses. An emphasis is placed on the two primary types of meta-analysis: fixed-effects versus random-effects models. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-14 03:00:00 UTC 2025-01-17 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []

  • Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    14 - 15 January 2025

    Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. The seminar includes practical exercises, a Q&A session, and post-seminar support, offering participants a deep understanding of dose-response functions and their application in various research fields. An official Instats certificate of completion is provided along with 1 ECTS equivalent points. 2025-01-14 22:00:00 UTC 2025-01-15 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna

    15 - 19 January 2025

    Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna https://dresa.org.au/events/remote-sensing-in-ecology-with-imagery-for-r-with-duccio-rocchini-university-of-bologna This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to effectively incorporate remote sensing into their ecological studies. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-15 23:00:00 UTC 2025-01-19 05:00:00 UTC Duccio Rocchini, University of Bologna Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science

    16 January - 13 February 2025

    Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science https://dresa.org.au/events/introduction-to-bayesian-statistical-modelling-with-rosina-savisaar-mondego-science This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective. The course starts by covering the very basics of what a model is, building up to fairly sophisticated models by the last session (for example, predicting COVID-19 outcomes from biomarker data). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-16 02:00:00 UTC 2025-02-13 05:00:00 UTC Rosina Savisaar, Mondego Science Instats info@instats.org [] [] [] open_to_all []

  • Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

    16 - 17 January 2025

    Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine https://dresa.org.au/events/introduction-to-r-for-data-analysis-with-rebecca-barter-division-of-epidemiology-university-of-utah-school-of-medicine This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R. 2025-01-16 04:00:00 UTC 2025-01-17 10:00:00 UTC Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine Instats info@instats.org [] [] [] open_to_all []

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    27 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school-70a8fb64-c944-4e8a-bf5f-a658c8ef8784 This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-27 20:00:00 UTC 2025-01-29 02:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []

  • Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete

    28 January 2025

    Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete https://dresa.org.au/events/efficient-programming-in-r-free-seminar-with-michail-tsagris-department-of-economics-university-of-crete This 3-hour seminar delves into efficient programming techniques in R for advanced data analysis, focusing on optimizing code, enhancing computational speed, and ensuring reproducible research practices. Participants will gain practical skills beneficial for diverse fields, improving both the precision and impact of their analytical work. 2025-01-28 01:00:00 UTC 2025-01-28 04:00:00 UTC Michail Tsagris, Department of Economics, University of Crete Instats info@instats.org [] [] [] open_to_all []

  • Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc.

    28 - 31 January 2025

    Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-advanced-course-with-michael-borenstein-biostat-inc This four-day workshop covers advanced topics in meta-analysis, including how to quantify and explain heterogeneity in effects across studies. Participants will learn how to use subgroups analysis and meta-regression while covering key topics such as publication bias, complex data sets, and limitations of the random-effects model. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-28 03:00:00 UTC 2025-01-31 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    28 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-28 04:00:00 UTC 2025-01-29 10:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []

  • Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    29 - 31 January 2025

    Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/foundations-of-questionnaire-design-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research. 2025-01-29 17:00:00 UTC 2025-01-31 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []

  • Advanced Ethnographic Methods with Niko Besnier, Department of Social Inquiry, La Trobe University

    29 - 31 January 2025

    Advanced Ethnographic Methods with Niko Besnier, Department of Social Inquiry, La Trobe University https://dresa.org.au/events/advanced-ethnographic-methods-with-niko-besnier-department-of-social-inquiry-la-trobe-university This advanced workshop focuses on topics in contemporary ethnographic research. Classic ethnography (long term, focused on a single location, addressing academic questions) is often not desirable or feasible, as was dramatically illustrated during the pandemic. In this workshop, participants will explore new ways of conducting ethnographic research, exploring areas such as multi-sited ethnography, digital ethnography, collecting and utilizing naturalistic interaction data, collaborative and team-based ethnography, rapid ethnography, and the application of ethnographic methods to research in the non-profit sector and industry, crucial for conducting ethnographic research in the contemporary world. 2025-01-29 19:00:00 UTC 2025-01-31 21:00:00 UTC Niko Besnier, Department of Social Inquiry, La Trobe University Instats info@instats.org [] [] [] open_to_all []

  • ARDC Indigenous Data Governance Masterclass at Summer School 2025

    3 February 2025

    South Brisbane, Australia

    ARDC Indigenous Data Governance Masterclass at Summer School 2025 https://dresa.org.au/events/ardc-indigenous-data-governance-masterclass-at-summer-school-2025 Custodians of Indigenous data and researchers in any discipline are invited to learn about applying Indigenous data governance principles 2025-02-03 10:00:00 UTC 2025-02-03 17:00:00 UTC Australian Research Data Commons Stanley Place, South Brisbane, Australia Stanley Place South Brisbane Australia 4101 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 200 workshop open_to_all Science & TechnologyOther

  • Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    3 - 5 February 2025

    Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/text-mining-in-action-tools-and-techniques-using-python-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides a comprehensive exploration of text mining techniques using Python, tailored for academic researchers seeking to analyze large textual datasets effectively. Participants will gain hands-on experience with Python libraries and methodologies for natural language processing, sentiment analysis, topic modeling, text classification, and more, enhancing their data analysis capabilities across various disciplines. 2025-02-03 21:00:00 UTC 2025-02-05 02:00:00 UTC Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • HASS and Indigenous Research Data Commons Summer School 2025

    4 - 6 February 2025

    Saint Lucia, Australia

    HASS and Indigenous Research Data Commons Summer School 2025 https://dresa.org.au/events/hass-and-indigenous-research-data-commons-summer-school-2025 The HASS and Indigenous research data community is invited to learn hands-on digital skills, network, and to inspire new research outcomes 2025-02-04 09:30:00 UTC 2025-02-06 14:30:00 UTC Australian Research Data Commons University of Queensland, Saint Lucia, Australia University of Queensland Saint Lucia Australia 4067 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 150 workshop open_to_all Science & TechnologyOther

  • Machine Learning Essentials (Free Seminar) with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    6 February 2025

    Machine Learning Essentials (Free Seminar) with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-essentials-free-seminar-with-kimberly-fessel-dr-kim-data-data-science-consultancy This comprehensive one-hour seminar provides PhD students, academics, and professional researchers with fundamental insights into machine learning concepts, crucial for modern data analysis in many disciplines. Led by data science expert Dr Kimberly Fessel, participants will explore key topics such as supervised and unsupervised learning, model performance (under- vs. overfitting), and popular algorithms like linear and logistic regression, decision trees, and neural networks. 2025-02-06 03:00:00 UTC 2025-02-06 04:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz

    10 - 12 February 2025

    Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/time-management-and-productivity-hacks-for-researchers-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This two-day workshop provides essential strategies for effective time management and productivity tailored specifically for academic researchers, addressing common challenges faced in balancing research, teaching, and administrative tasks. Participants will familiarize themselves with practical (AI) tools such as ChatGPT and innovative techniques to enhance their research efficiency and achieve a more sustainable work-life balance. 2025-02-10 20:00:00 UTC 2025-02-12 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []

  • Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland

    12 - 14 February 2025

    Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland https://dresa.org.au/events/vector-generalized-linear-and-additive-models-with-thomas-yee-department-of-statistics-university-of-auckland This workshop provides a comprehensive introduction to Vector Generalized Linear and Additive Models (VGLMs and VGAMs), equipping researchers with advanced skills for analyzing complex data structures often encountered in the social, health, and natural sciences. Participants will gain practical experience using the VGAM package in R for data analysis, enhancing their ability to apply sophisticated yet easy-to-use methods for their own research projects. 2025-02-12 10:00:00 UTC 2025-02-14 13:30:00 UTC Thomas Yee, Department of Statistics, University of Auckland Instats info@instats.org [] [] [] open_to_all []

  • ARDC National Skills Forum: Skills Catalytic Converters

    19 February 2025

    ARDC National Skills Forum: Skills Catalytic Converters https://dresa.org.au/events/ardc-national-skills-forum-skills-catalytic-converters A monthly online forum for researchers and research support professionals hosted by the ARDC Skilled Workforce Development Team. 2025-02-19 13:00:00 UTC 2025-02-19 14:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 80 [] open_to_all Science & TechnologyOther

  • Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    20 - 22 February 2025

    Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/machine-learning-and-ai-for-researchers-in-r-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using R. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net, and subset-selection models); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in R. 2025-02-20 22:00:00 UTC 2025-02-22 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz

    24 - 25 February 2025

    How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/how-to-publish-research-successfully-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This intensive seminar provides researchers in in the social sciences with essential strategies for successful academic publishing, covering topic selection, manuscript preparation, and navigating the peer-review process. Participants will acquire vital skills to enhance their publication success and professional growth, including considerations regarding the use of ChatGPT as a research and writing assistant. 2025-02-24 20:00:00 UTC 2025-02-25 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []

  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy-be45d228-aeec-440c-a2cd-b1de5ffbd63a This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions

    4 - 6 March 2025

    Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/introduction-to-spatial-data-and-r-as-a-gis-with-nick-bearman-university-college-london-and-geospatial-training-solutions This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data. Participants will acquire essential skills to conduct sophisticated spatial analyses and produce complex maps, significantly enhancing their research projects. 2025-03-04 21:00:00 UTC 2025-03-06 00:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

  • Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta

    11 - 13 March 2025

    Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta https://dresa.org.au/events/mixed-methods-research-strategies-for-dealing-with-complexity-with-cheryl-poth-faculty-of-education-university-of-alberta-63a1974b-04e2-4658-bf4d-6073389ab185 This 3-day seminar offers practical strategies for integrating qualitative and quantitative methods to address complex research questions. Participants will gain the skills needed to pursue mixed methods research under conditions of complexity, which requires new research approaches. Adopting a complexity lens promotes a view of how we see, understand, and influence mixed methods research given nonlinearity and the principles of complexity science. The seminar covers ways of designing, executing, and disseminating mixed methods research to deal with complex phenomena. 2025-03-11 02:00:00 UTC 2025-03-13 04:30:00 UTC Cheryl Poth, Faculty of Education, University of Alberta Instats info@instats.org [] [] [] open_to_all []

  • Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne

    12 - 13 December 2024

    Intensive Longitudinal Methods: Design and Analysis in Mplus with Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne https://dresa.org.au/events/intensive-longitudinal-methods-design-and-analysis-in-mplus-with-peter-koval-melbourne-school-of-psychological-sciences-university-of-melbourne This two-day workshop provides a comprehensive understanding of intensive longitudinal methods essential for capturing dynamic processes over time, with a focus on using Mplus for data analysis. Participants will gain practical skills in designing, analyzing, and interpreting intensive longitudinal data, enhancing the rigor and impact of their research. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2024-12-12 10:00:00 UTC 2024-12-13 15:30:00 UTC Peter Koval, Melbourne School of Psychological Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []

  • Coordinated Access for Data, Researchers and Environments (CADRE)

    12 December 2024

    Coordinated Access for Data, Researchers and Environments (CADRE) https://dresa.org.au/events/coordinated-access-for-data-researchers-and-environments-cadre Join us online to learn about CADRE: a sensitive data access management platform for social sciences and related disciplines 2024-12-12 11:00:00 UTC 2024-12-12 12:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all Science & TechnologyScience

  • Data Management Plans (DMPs) Interest Group 2024 #3

    13 December 2024

    Data Management Plans (DMPs) Interest Group 2024 #3 https://dresa.org.au/events/data-management-plans-dmps-interest-group-2024-3 We are an Australasian interest group for people interested in discussing, building and improving Data Management Plans (DMPs). 2024-12-13 13:30:00 UTC 2024-12-13 14:30:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 120 meeting open_to_all Science & TechnologyOther

  • Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    18 December 2024

    Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []

  • Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina

    8 - 11 January 2025

    Bayesian Spatial and Spatio-Temporal Health Modeling in R with Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina https://dresa.org.au/events/bayesian-spatial-and-spatio-temporal-health-modeling-in-r-with-andrew-lawson-department-of-public-health-sciences-medical-university-of-south-carolina This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science. 2025-01-08 01:00:00 UTC 2025-01-11 04:00:00 UTC Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London

    13 - 18 January 2025

    Introduction to Research Methods and Statistics with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-research-methods-and-statistics-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive 5-day workshop provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts. 2025-01-13 20:30:00 UTC 2025-01-18 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc.

    14 - 17 January 2025

    Meta-Analysis: An Introductory Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-introductory-course-with-michael-borenstein-biostat-inc This four-day workshop provides the knowledge and skills needed to start conducting and reporting the results of meta-analyses. An emphasis is placed on the two primary types of meta-analysis: fixed-effects versus random-effects models. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-14 03:00:00 UTC 2025-01-17 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []

  • Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    14 - 15 January 2025

    Estimating Dose-Response Functions in Stata with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/estimating-dose-response-functions-in-stata-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar equips researchers with the knowledge and skills to identify and estimate dose-response functions using Stata, offering an in-depth exploration of two prominent approaches for estimating dose-response functions: the Generalized Propensity Score (GPS) method and the Regression-adjustment-based Dose-Response Models (CTREAT). These methods are widely used in the field of causal inference with continuous treatment (or exposure) and have applications in various domains such as medicine, social sciences, and economics. The seminar includes practical exercises, a Q&A session, and post-seminar support, offering participants a deep understanding of dose-response functions and their application in various research fields. An official Instats certificate of completion is provided along with 1 ECTS equivalent points. 2025-01-14 22:00:00 UTC 2025-01-15 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna

    15 - 19 January 2025

    Remote Sensing in Ecology with imageRy for R with Duccio Rocchini, University of Bologna https://dresa.org.au/events/remote-sensing-in-ecology-with-imagery-for-r-with-duccio-rocchini-university-of-bologna This seminar, led by Duccio Rocchini, provides an in-depth exploration of how remote sensing can enhance ecological research, focusing on the use of the imageRy R package for data analysis. Participants will gain practical skills in processing satellite imagery, mapping vegetation, assessing biodiversity, and integrating spatial data, equipping them to effectively incorporate remote sensing into their ecological studies. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-15 23:00:00 UTC 2025-01-19 05:00:00 UTC Duccio Rocchini, University of Bologna Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science

    16 January - 13 February 2025

    Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science https://dresa.org.au/events/introduction-to-bayesian-statistical-modelling-with-rosina-savisaar-mondego-science This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective. The course starts by covering the very basics of what a model is, building up to fairly sophisticated models by the last session (for example, predicting COVID-19 outcomes from biomarker data). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-16 02:00:00 UTC 2025-02-13 05:00:00 UTC Rosina Savisaar, Mondego Science Instats info@instats.org [] [] [] open_to_all []

  • Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine

    16 - 17 January 2025

    Introduction to R for Data Analysis with Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine https://dresa.org.au/events/introduction-to-r-for-data-analysis-with-rebecca-barter-division-of-epidemiology-university-of-utah-school-of-medicine This seminar provides a comprehensive introduction to R programming for data analysis, tailored to social scientists, epidemiologists, and researchers across various fields. Participants will learn essential skills in data manipulation, visualization, and statistical analysis, enabling them to improve their research methodologies by effectively using R. 2025-01-16 04:00:00 UTC 2025-01-17 10:00:00 UTC Rebecca Barter, Division of Epidemiology, University of Utah School of Medicine Instats info@instats.org [] [] [] open_to_all []

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    27 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school-70a8fb64-c944-4e8a-bf5f-a658c8ef8784 This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-27 20:00:00 UTC 2025-01-29 02:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []

  • Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete

    28 January 2025

    Efficient Programming in R (Free Seminar) with Michail Tsagris, Department of Economics, University of Crete https://dresa.org.au/events/efficient-programming-in-r-free-seminar-with-michail-tsagris-department-of-economics-university-of-crete This 3-hour seminar delves into efficient programming techniques in R for advanced data analysis, focusing on optimizing code, enhancing computational speed, and ensuring reproducible research practices. Participants will gain practical skills beneficial for diverse fields, improving both the precision and impact of their analytical work. 2025-01-28 01:00:00 UTC 2025-01-28 04:00:00 UTC Michail Tsagris, Department of Economics, University of Crete Instats info@instats.org [] [] [] open_to_all []

  • Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc.

    28 - 31 January 2025

    Meta-Analysis: An Advanced Course with Michael Borenstein, Biostat, Inc. https://dresa.org.au/events/meta-analysis-an-advanced-course-with-michael-borenstein-biostat-inc This four-day workshop covers advanced topics in meta-analysis, including how to quantify and explain heterogeneity in effects across studies. Participants will learn how to use subgroups analysis and meta-regression while covering key topics such as publication bias, complex data sets, and limitations of the random-effects model. Each topic will be introduced at the conceptual level, followed by worked examples and exercises so that participants will feel comfortable performing these analyses on their own. All sessions include time for an extensive discussion. 2025-01-28 03:00:00 UTC 2025-01-31 09:00:00 UTC Michael Borenstein, Biostat, Inc. Instats info@instats.org [] [] [] open_to_all []

  • Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School

    28 - 29 January 2025

    Estimating Firm-Level Production Functions with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/estimating-firm-level-production-functions-with-ioannis-bournakis-skema-business-school This seminar provides comprehensive training in estimating Total Factor Productivity (TFP) at the firm level, focusing on empirical methods and real-world application using software tools. Participants will explore advanced techniques such as non-parametric, parametric, and semi-parametric methods, addressing challenges in production function estimation, and gain skills applicable to economic research and policy analysis. 2025-01-28 04:00:00 UTC 2025-01-29 10:00:00 UTC Ioannis Bournakis, SKEMA Business School Instats info@instats.org [] [] [] open_to_all []

  • Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

    29 - 31 January 2025

    Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/foundations-of-questionnaire-design-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research. 2025-01-29 17:00:00 UTC 2025-01-31 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []

  • Advanced Ethnographic Methods with Niko Besnier, Department of Social Inquiry, La Trobe University

    29 - 31 January 2025

    Advanced Ethnographic Methods with Niko Besnier, Department of Social Inquiry, La Trobe University https://dresa.org.au/events/advanced-ethnographic-methods-with-niko-besnier-department-of-social-inquiry-la-trobe-university This advanced workshop focuses on topics in contemporary ethnographic research. Classic ethnography (long term, focused on a single location, addressing academic questions) is often not desirable or feasible, as was dramatically illustrated during the pandemic. In this workshop, participants will explore new ways of conducting ethnographic research, exploring areas such as multi-sited ethnography, digital ethnography, collecting and utilizing naturalistic interaction data, collaborative and team-based ethnography, rapid ethnography, and the application of ethnographic methods to research in the non-profit sector and industry, crucial for conducting ethnographic research in the contemporary world. 2025-01-29 19:00:00 UTC 2025-01-31 21:00:00 UTC Niko Besnier, Department of Social Inquiry, La Trobe University Instats info@instats.org [] [] [] open_to_all []

  • ARDC Indigenous Data Governance Masterclass at Summer School 2025

    3 February 2025

    South Brisbane, Australia

    ARDC Indigenous Data Governance Masterclass at Summer School 2025 https://dresa.org.au/events/ardc-indigenous-data-governance-masterclass-at-summer-school-2025 Custodians of Indigenous data and researchers in any discipline are invited to learn about applying Indigenous data governance principles 2025-02-03 10:00:00 UTC 2025-02-03 17:00:00 UTC Australian Research Data Commons Stanley Place, South Brisbane, Australia Stanley Place South Brisbane Australia 4101 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 200 workshop open_to_all Science & TechnologyOther

  • Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    3 - 5 February 2025

    Text Mining in Action: Tools and Techniques using Python with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/text-mining-in-action-tools-and-techniques-using-python-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides a comprehensive exploration of text mining techniques using Python, tailored for academic researchers seeking to analyze large textual datasets effectively. Participants will gain hands-on experience with Python libraries and methodologies for natural language processing, sentiment analysis, topic modeling, text classification, and more, enhancing their data analysis capabilities across various disciplines. 2025-02-03 21:00:00 UTC 2025-02-05 02:00:00 UTC Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • HASS and Indigenous Research Data Commons Summer School 2025

    4 - 6 February 2025

    Saint Lucia, Australia

    HASS and Indigenous Research Data Commons Summer School 2025 https://dresa.org.au/events/hass-and-indigenous-research-data-commons-summer-school-2025 The HASS and Indigenous research data community is invited to learn hands-on digital skills, network, and to inspire new research outcomes 2025-02-04 09:30:00 UTC 2025-02-06 14:30:00 UTC Australian Research Data Commons University of Queensland, Saint Lucia, Australia University of Queensland Saint Lucia Australia 4067 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 150 workshop open_to_all Science & TechnologyOther

  • Machine Learning Essentials (Free Seminar) with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    6 February 2025

    Machine Learning Essentials (Free Seminar) with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-essentials-free-seminar-with-kimberly-fessel-dr-kim-data-data-science-consultancy This comprehensive one-hour seminar provides PhD students, academics, and professional researchers with fundamental insights into machine learning concepts, crucial for modern data analysis in many disciplines. Led by data science expert Dr Kimberly Fessel, participants will explore key topics such as supervised and unsupervised learning, model performance (under- vs. overfitting), and popular algorithms like linear and logistic regression, decision trees, and neural networks. 2025-02-06 03:00:00 UTC 2025-02-06 04:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz

    10 - 12 February 2025

    Time Management and Productivity Hacks for Researchers with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/time-management-and-productivity-hacks-for-researchers-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This two-day workshop provides essential strategies for effective time management and productivity tailored specifically for academic researchers, addressing common challenges faced in balancing research, teaching, and administrative tasks. Participants will familiarize themselves with practical (AI) tools such as ChatGPT and innovative techniques to enhance their research efficiency and achieve a more sustainable work-life balance. 2025-02-10 20:00:00 UTC 2025-02-12 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []

  • Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland

    12 - 14 February 2025

    Vector Generalized Linear and Additive Models with Thomas Yee, Department of Statistics, University of Auckland https://dresa.org.au/events/vector-generalized-linear-and-additive-models-with-thomas-yee-department-of-statistics-university-of-auckland This workshop provides a comprehensive introduction to Vector Generalized Linear and Additive Models (VGLMs and VGAMs), equipping researchers with advanced skills for analyzing complex data structures often encountered in the social, health, and natural sciences. Participants will gain practical experience using the VGAM package in R for data analysis, enhancing their ability to apply sophisticated yet easy-to-use methods for their own research projects. 2025-02-12 10:00:00 UTC 2025-02-14 13:30:00 UTC Thomas Yee, Department of Statistics, University of Auckland Instats info@instats.org [] [] [] open_to_all []

  • ARDC National Skills Forum: Skills Catalytic Converters

    19 February 2025

    ARDC National Skills Forum: Skills Catalytic Converters https://dresa.org.au/events/ardc-national-skills-forum-skills-catalytic-converters A monthly online forum for researchers and research support professionals hosted by the ARDC Skilled Workforce Development Team. 2025-02-19 13:00:00 UTC 2025-02-19 14:00:00 UTC Australian Research Data Commons Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 80 [] open_to_all Science & TechnologyOther

  • Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    20 - 22 February 2025

    Machine Learning and AI for Researchers in R with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/machine-learning-and-ai-for-researchers-in-r-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using R. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net, and subset-selection models); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in R. 2025-02-20 22:00:00 UTC 2025-02-22 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz

    24 - 25 February 2025

    How to Publish Research Successfully with Lydia Bals, School of Business, University of Applied Sciences Mainz https://dresa.org.au/events/how-to-publish-research-successfully-with-lydia-bals-school-of-business-university-of-applied-sciences-mainz This intensive seminar provides researchers in in the social sciences with essential strategies for successful academic publishing, covering topic selection, manuscript preparation, and navigating the peer-review process. Participants will acquire vital skills to enhance their publication success and professional growth, including considerations regarding the use of ChatGPT as a research and writing assistant. 2025-02-24 20:00:00 UTC 2025-02-25 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []

  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    28 February - 1 March 2025

    Machine Learning in Python with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/machine-learning-in-python-with-kimberly-fessel-dr-kim-data-data-science-consultancy-be45d228-aeec-440c-a2cd-b1de5ffbd63a This intensive, hands-on workshop offers a deep dive into machine learning with Python, designed for PhD students, professors, and researchers across various fields. Participants will master practical skills in data cleaning, exploratory data analysis, and building powerful machine learning models, including neural networks, to elevate their research. With real-world coding exercises and expert guidance, this workshop will equip you with the tools to turn data into actionable insights. 2025-02-28 02:00:00 UTC 2025-03-01 08:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions

    4 - 6 March 2025

    Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/introduction-to-spatial-data-and-r-as-a-gis-with-nick-bearman-university-college-london-and-geospatial-training-solutions This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data. Participants will acquire essential skills to conduct sophisticated spatial analyses and produce complex maps, significantly enhancing their research projects. 2025-03-04 21:00:00 UTC 2025-03-06 00:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

  • Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta

    11 - 13 March 2025

    Mixed Methods Research: Strategies for Dealing with Complexity with Cheryl Poth, Faculty of Education, University of Alberta https://dresa.org.au/events/mixed-methods-research-strategies-for-dealing-with-complexity-with-cheryl-poth-faculty-of-education-university-of-alberta-63a1974b-04e2-4658-bf4d-6073389ab185 This 3-day seminar offers practical strategies for integrating qualitative and quantitative methods to address complex research questions. Participants will gain the skills needed to pursue mixed methods research under conditions of complexity, which requires new research approaches. Adopting a complexity lens promotes a view of how we see, understand, and influence mixed methods research given nonlinearity and the principles of complexity science. The seminar covers ways of designing, executing, and disseminating mixed methods research to deal with complex phenomena. 2025-03-11 02:00:00 UTC 2025-03-13 04:30:00 UTC Cheryl Poth, Faculty of Education, University of Alberta Instats info@instats.org [] [] [] open_to_all []

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