ACSPRI

Contact: Gordana Bacic

The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a not-for-profit organisation, broadly aimed at the promotion and enhancement of social science research and methods in Australia.

Our consortium of institutional members, include universities, public sector research institutions and not-for-profits. We work to provide benefits and services to our members including: education and professional development in Social Science Research Methods and Research Technology courses.

ACSPRI https://dresa.org.au/content_providers/acspri The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a not-for-profit organisation, broadly aimed at the promotion and enhancement of social science research and methods in Australia. Our consortium of institutional members, include universities, public sector research institutions and not-for-profits. We work to provide benefits and services to our members including: education and professional development in Social Science Research Methods and Research Technology courses. /system/content_providers/images/000/000/021/original/ACSPRI_Logo_Horizonal.jpg?1661921514
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  • Doing Credible Qualitative Research

    30 September - 3 October 2024

    Doing Credible Qualitative Research https://dresa.org.au/events/doing-credible-qualitative-research-693629f7-7539-4e22-ab76-3041b3ab452b Qualitative researchers often try to do the same as quantitative research but with smaller samples. This master-class offers lectures and data workshops covering the latest approaches to key areas of qualitative research. It outlines threats to credibility and shows how to make your research credible. 1. Finding a topic in your data (as opposed to quantitative research, qualitative research is often inductive; discovering unexpected things in your data) 2. Mixed methods. (Mixing qual and quant data. Using multiple qualitative methods. Advantages and limitations) 3. How many cases do you need? (sampling to social processes not to populations) 4. Applying qualitative research to social problems and practice (avoiding pre-defined policy aims; discovering practical relevance at the conclusion of a research project) 2024-09-30 18:30:00 UTC 2024-10-03 20:45:00 UTC ACSPRI Online, online, Australia Online online Australia ACSPRI info@acspri.org.au [] researcherPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative dataQualitative methodsQualitative PhD
  • Machine Learning for Data Science: Surpervised Learning Techniques

    27 September - 4 October 2024

    Machine Learning for Data Science: Surpervised Learning Techniques https://dresa.org.au/events/machine-learning-for-data-science-surpervised-learning-techniques This masterclass is an introduction to supervised machine learning techniques for data science. It will provide an interactive step-by-step guide to running some of the standard statistical regression and classification machine learning models that every data scientist should know. This course will use the R software. This masterclass is part of the ACSPRI suite of courses in social data science and is specially designed for those who want a gentle introduction to supervised machine learning models in data science. 2024-09-27 09:30:00 UTC 2024-10-04 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersHDR studentsPhD students 12 workshop open_to_all Machine LearningData Sciencesocial data science
  • Introduction to Deep Learning for Social Sciences

    9 - 11 October 2024

    Introduction to Deep Learning for Social Sciences https://dresa.org.au/events/introduction-to-deep-learning-for-social-sciences This masterclass is an introduction to deep learning applications in the social sciences. It offers a step-by-step guide to working with basic classification tasks, image recognition using convolutional neural networks (CNNs), and natural language processing (NLP) with recurrent neural networks (RNNs). The course utilizes Python, TensorFlow, and Google Colab but does not require prior coding experience. These foundational tools provide practical experience in applying essential deep learning techniques to the social sciences domain. This masterclass is part of the ACSPRI suite of courses in social data science and does not require prior knowledge of machine learning or Python programming. 2024-10-09 09:30:00 UTC 2024-10-11 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] researchersHDR studentsPhD studentsSocial Scientists 12 workshop open_to_all Deep learning PythonCNNNLPRNNNeural networks
  • The Art of Survey Writing

    14 - 15 October 2024

    The Art of Survey Writing https://dresa.org.au/events/the-art-of-survey-writing We are in the middle of a data revolution. This has impacted the academic, private, not for profit and public sectors. Data collection is a significant part of this, and surveys are an important tool for gathering information on how individuals think and behave. However, there have been some high profile misses in recent years: the 2016 US Presidential election and Brexit being the most significant of these. What caused these errors, and can good survey design save us from making the same mistakes? Taught by an instructor with real-world experience as a pollster, campaign consultant, survey researcher and data scientist, this masterclass will focus on what makes good (and bad) survey design. 2024-10-14 10:00:00 UTC 2024-10-15 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] All researchersPhD studentsHDR students 12 workshop open_to_all survey designsurvey research
  • Predictive Analytics for Data Science: Linear and Non-Linear Modelling

    8 - 9 November 2024

    Predictive Analytics for Data Science: Linear and Non-Linear Modelling https://dresa.org.au/events/predictive-analytics-for-data-science-linear-and-non-linear-modelling This masterclass is an introduction to linear and non-linear predictive models. It will provide an interactive step-by-step guide to running these models and key diagnostics using the R software platform. 2024-11-08 09:30:00 UTC 2024-11-09 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 10 workshop open_to_all Predictive modelsPredictive AnalyticsData Sciencesocial data science
  • Foundations of Qualitative Methodologies, Data Collection and Analysis

    24 - 26 June 2024

    Foundations of Qualitative Methodologies, Data Collection and Analysis https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis This is an introductory course which deals with the major decisions a qualitative researcher needs to make initially: * framing * research design and ethics * qualitative paradigms and methodology/ies The emphasis on the 2nd and 3rd days is on practical experience. The gaining of practice-based skills with regard to conducting both face-to-face and focus group interviews in person and online, and in gaining experience in analysing and displaying qualitative data. 2024-06-24 09:30:00 UTC 2024-06-26 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory
  • Introduction to Computer-assisted Qualitative Data Analysis using NVivo

    24 - 28 June 2024

    Introduction to Computer-assisted Qualitative Data Analysis using NVivo https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2024-06-24 09:30:00 UTC 2024-06-28 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory NVivo
  • Fundamentals of Program Evaluation in Public Policy

    24 - 26 June 2024

    Fundamentals of Program Evaluation in Public Policy https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy This is a three day workshop for public sector workers and academics commissioning, managing or conducting evaluations of public policy or programs. The course is structured to progress participants through the key stages of an evaluation. Participants are exposed to key theories and approaches to evaluation, and then encouraged to consider the application of these approaches to their own work context. Participants will be guided through negotiation and planing an evaluation, through to final reporting and dissemination of findings. Examples from published studies and the facilitator's applied practice in evaluation will be drawn apon to illustrate and reinforce key concepts. 2024-06-24 10:00:00 UTC 2024-06-26 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all evaluationpolicy evaluationpublic policy
  • Applied Longitudinal Data Analysis

    24 - 28 June 2024

    Applied Longitudinal Data Analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-0e090d0e-a0cb-4065-8ff3-7415f92dd20b Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. 2024-06-24 09:00:00 UTC 2024-06-28 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all longitudinal dataData analysissocial data scienceresearch data
  • Applied Structural Equation Modelling

    24 - 28 June 2024

    Applied Structural Equation Modelling https://dresa.org.au/events/applied-structural-equation-modelling-2c72c4f5-03f3-4106-92d4-071e75a70aca Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed (measured) variables and latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce participants to a range of basic structural equation models and the use of the AMOS and/or Mplus software to estimate the model parameters. 2024-06-24 10:00:00 UTC 2024-06-28 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysissocial data scienceresearch dataSEMStructural equation modelling
  • Fundamentals of Statistics

    1 - 5 July 2024

    Fundamentals of Statistics https://dresa.org.au/events/fundamentals-of-statistics-3960fa1b-e256-468c-b2b6-cfec76da7a3a This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. Depending on student preferences, students can choose to use either jamovi or IBM SPSS Statistics. 2024-07-01 10:00:00 UTC 2024-07-05 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysisIntroductoryFundamentals of StatisticsStatisticsStatistical Methods
  • Introduction to Social Network Research and Analysis

    1 - 5 July 2024

    Introduction to Social Network Research and Analysis https://dresa.org.au/events/introduction-to-social-network-research-and-analysis This course covers data collection and research design, visualisation and basic analytic methods used in social network research. It is designed for mixed methods and qualitative researchers. From 2021 the course has a greater emphasis on social media data collection and analysis. It also explores software for network-oriented online interview and survey data collection 2024-07-01 09:30:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysissocial network researchSocial network analysissocial media datasocial data science
  • Data Analysis Using Stata

    1 - 5 July 2024

    Data Analysis Using Stata https://dresa.org.au/events/data-analysis-using-stata Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. This course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool. 2024-07-01 10:00:00 UTC 2024-07-05 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Data analysissocial data scienceSTATAStatistical Methodsstatistical software
  • Qualitative Comparative Analysis (QCA): An Introduction

    1 - 4 July 2024

    Qualitative Comparative Analysis (QCA): An Introduction https://dresa.org.au/events/qualitative-comparative-analysis-qca-an-introduction Qualitative Comparative Analysis (QCA) provides a bridge between case-oriented and variable-oriented research methods. It is rapidly making inroads in the social sciences. In this introductory master-class, we will explore the epistemological foundations of QCA and question what the method can and cannot be used for. The master class will introduce participants in (i) the basics of QCA—set-theory and Boolean algebra; (ii) the various approaches to QCA—crisp set, multi value, and fuzzy set; (iii) current debates on QCA; and, (iv) the challenges you may encounter when developing a QCA. To get our heads around the logic of QCA, we will carry out a few QCA applications by hand and we will use an Excel plug-in for a very rudimentary QCA. This master class is designed for participants who have experience in qualitative or quantitative research and who are interested in applying qualitative comparative analysis (QCA) in their current or future studies. 2024-07-01 18:30:00 UTC 2024-07-04 21:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all social data scienceStatistical MethodsQCAQualitative methodsQualitative Comparative Analysisresearch design
  • Qualitative Comparative Analysis (QCA): An Application in 10 Steps

    9 - 12 July 2024

    Qualitative Comparative Analysis (QCA): An Application in 10 Steps https://dresa.org.au/events/qualitative-comparative-analysis-qca-an-application-in-10-steps This is an intermediate master class. In it, we will go through the 10 steps of a full QCA project. It is expected participants are familiar with the basics of QCA, as, for example, taught in the ACSPRI master class Qualitative Comparative Analysis: An introduction. The 10 steps we undertake in this master class are: 1. Explaining the theoretical motivations for choosing QCA for your project 2. Selection of outcomes and conditions 3. Explaining the limitations that come with the number of conditions chosen 4. Calibration of data 5. Develop a raw data matrix 6. Analysis of necessary conditions 7. Analysis of sufficient conditions: truth table 8. Analysis of sufficient conditions: choice of solution term 9. Presentation of results 10. Testing robustness and interpretation of results The target audience for this master class are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the basics of QCA. If this is your first encounter with QCA (or if you have gotten stuck in trying to teach yourself QCA without support) then it is very strongly recommended to first take the ACSPRI master class Qualitative Comparative Analysis: An introduction. 2024-07-09 18:30:00 UTC 2024-07-12 21:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all social data scienceStatistical MethodsQCAQualitative methodsQualitative Comparative Analysisresearch design
  • Qualitative Research: Design, Analysis and Representation

    1 - 5 July 2024

    Qualitative Research: Design, Analysis and Representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-8b77706f-4384-4086-bfdf-363857895222 The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health. The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and context of qualitative research. 2024-07-01 10:00:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative ResearchQualitative methods
  • Advanced Statistical Analysis Using R

    1 - 5 July 2024

    Advanced Statistical Analysis Using R https://dresa.org.au/events/advanced-statistical-analysis-using-r The focus of this course is on learning advanced statistical methods using R. This course is intended for those who have basic knowledge and experience with R, and would like to further advance or develop their experiences with advanced statistical methods in R. The course would also be suitable for people familiar with these statistical methods in other packages, but with no prior experience using R. The first day of this course will focus on the R software environment, the remaining days of this workshop will focus on learning advanced statistical methods with R. 2024-07-01 10:00:00 UTC 2024-07-05 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all R softwareAdvancedStatistical Methodsapplied statisticsStatistics
  • Multi-level Analysis using Mplus

    1 - 5 July 2024

    Multi-level Analysis using Mplus https://dresa.org.au/events/multi-level-analysis-using-mplus This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. During the course, Phil will make appointments with participants who want help with their own research problems. These appointments will be scheduled either before, between or after instruction time on the last two days of the course. The target audience for this course is researchers needing to learn how to analyse data that has been collected through a hierarchical (or clustered) sampling approach using the Mplus software. 2024-07-01 10:00:00 UTC 2024-07-05 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all AdvancedStatistical Methodsapplied statisticsStatisticsmultilevel modellingMplus
  • Applied Statistical Procedures

    8 - 12 July 2024

    Applied Statistical Procedures https://dresa.org.au/events/applied-statistical-procedures This course is taught from an applied perspective, with questions encouraged. This is an intermediate, course covering a range of the most commonly used statistical procedures. Research design, Experimental, Quasi-Experimental and Non-Experimental, will be covered so students can select the best design and statistical procedure for a research project, and to clarify exactly what claims can be made in relation to findings. It aims to provide participants with an ability to understand, run and interpret procedures. This course will further enhance your ability to understand research-based literature. The level falls between ‘Fundamentals of Statistics’, and the more detailed single procedure-based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. Students may take this course using one of two statistical packages, SPSS or Jamovi. No prior knowledge of either SPSS or Jamovi is required. The target audience for this course range from Qualitative researchers wanting to gain Quantitative skills, to Quantitative researchers wanting to broaden their understanding across procedures, or to become more comfortable with covariance prior to taking SEM. 2024-07-08 10:00:00 UTC 2024-07-12 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Statistical Methodsapplied statisticsStatistics
  • Fundamentals of Multiple Regression

    8 - 12 July 2024

    Fundamentals of Multiple Regression https://dresa.org.au/events/fundamentals-of-multiple-regression This course covers enough of the statistical material for the intelligent use of the technique. The approach is informal and applied rather than emphasising algebraic manipulation or proofs. The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis Participants can use their preferred statistical software (SPSS, SAS, Stata or R, etc) for the data analysis exercises. 2024-07-08 10:00:00 UTC 2024-07-12 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Statistical Methodsapplied statisticsStatisticsMultiple RegressionRegression analysis
  • Applied Longitudinal Data Analysis

    8 - 12 July 2024

    Applied Longitudinal Data Analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-f6c35785-687b-43f6-81cd-781201ee1f90 Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. 2024-07-08 09:00:00 UTC 2024-07-12 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all longitudinal dataData analysissocial data scienceresearch data
  • R Software for Data Science

    9 - 16 August 2024

    R Software for Data Science https://dresa.org.au/events/r-software-for-data-science One of the key skills in data science is making effective use of software for manipulating data and generating results. R is an established software environment used in the world of data science. In this course, you will be introduced to basic data wrangling, descriptive statistics, visualisation and reporting of results. Key R data science libraries such as dplyr and ggplot will be introduced. This masterclass is part of the ACSPRI suite of courses in social data science is specially designed for those who want to learn how to use R for data manipulation and statistical analysis. 2024-08-09 09:30:00 UTC 2024-08-16 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareData analysisResearch software
  • Introduction to Large Language Models (LLMs) in Social Sciences

    19 - 21 August 2024

    Introduction to Large Language Models (LLMs) in Social Sciences https://dresa.org.au/events/introduction-to-large-language-models-llms-in-social-sciences Working with language and text can be challenging, but now we have a new tool, Large Language Models (LLMs), that offers a new way to not only analyse but also interact with text at an unprecedented scale. This masterclass is an introduction to LLMs in social sciences. You will learn about the basics of Natural Language Processing (NLP) and their applications, including text preprocessing, sentiment analysis, topic modeling, and text generation. The course uses Python and Google Colab but does not require prior coding experience. Our focus is on practical hands-on experience that you can use to reach your research goals. This masterclass is part of the ACSPRI suite of courses in social data science. 2024-08-19 09:30:00 UTC 2024-08-21 17:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Large Language ModelNatural language processing Pythonsocial data science
  • NVivo for a Literature Review

    5 - 6 August 2024

    NVivo for a Literature Review https://dresa.org.au/events/nvivo-for-a-literature-review NVivo can be a powerful tool to help you conduct your literature review in an effective and efficient way. This workshop introduces NVivo, and takes researchers through the process of sorting and organising literature and notes from readings in a systematic way. The workshop is relevant to researchers at all stages and across all disciplines. No prior knowledge of NVivo is necessary in order to attend the class. It starts from the very basics of the software. 2024-08-05 09:30:00 UTC 2024-08-06 12:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 [] open_to_all NVivoQualitative methodsQualitative Researchqualitative dataQualitative PhD
  • Spatial Analysis in R

    12 - 13 August 2024

    Spatial Analysis in R https://dresa.org.au/events/spatial-analysis-in-r Designed for the applied users of R who want to take their spatial analysis to a higher level, this masterclass is intended for participants who have some experience using R. You will learn to use R and Markdown to clean and manipulate spatial data, produce high quality visualisations (including maps), and use linear regression to analyse relationships in spatial and individual-level data. 2024-08-12 09:30:00 UTC 2024-08-13 16:30:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareSpatial analysisGeographic data analysisdata visualisationData analysis
  • Storytelling with Data Visualisation

    2 - 4 September 2024

    Storytelling with Data Visualisation https://dresa.org.au/events/storytelling-with-data-visualisation Studies have shown that readers will only spend 3 to 8 seconds looking at each plot in a report before deciding whether to invest more time examining that plot or to move on to the next part of the report (Storytelling with Data, Cole). This requires careful thought about the visualization design, and clever manipulation of the visualization software (such as the ggplot function in R). Additional thought is required if the data is not just shown in a static report or webpage, but is shown within a dashboard environment (such as using Shiny in R). This workshop has two objectives – to teach the design principles required to make plots that really stand out for the reader, and to teach the practical skills required to create these plots within R 2024-09-02 09:00:00 UTC 2024-09-04 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all data visualisationdata storytellingR softwareData analysis