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10 events found

Fields: LAW AND LEGAL STUDIES  or BUILT ENVIRONMENT AND DESIGN 

  • Data Analysis in R: Online

    20 January - 4 February 2025

    Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data. The unit will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research. Exercises will be provided, including additional problems and datasets for extra practice outside of scheduled sessions, and one-on-one consultations can be scheduled by appointment the following week. 2025-01-20 10:00:00 UTC 2025-02-04 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Introduction to RR statistical softwareR statisticsStatisticsStatistical Methods

  • Qualitative Research: Design, Analysis and Representation

    3 - 7 February 2025

    Parkville, Australia

    Qualitative Research: Design, Analysis and Representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-9e3c11c2-470a-4eac-aff9-625df80944e9 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. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 [] open_to_all Qualitative ResearchQualitative methodsqualitative data

  • Fundamentals of Choice Modelling

    3 - 4 February 2025

    Parkville, Australia

    Fundamentals of Choice Modelling https://dresa.org.au/events/fundamentals-of-choice-modelling Choice modelling is a specialised area of micro-econometrics that develops and applies mathematical models that represent human decision making. Choice models are used extensively to understand current behaviour and predict future choices in the applied fields of the economic sciences, especially environmental, health, and transport economics. Other application areas include business and marketing. In addition to addressing questions of academic interest, choice modelling informs policy and strategy making in these applied economic disciplines. This 2-day masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and also talks about the data requirements, model estimation, and the use of models to produce outputs for policy. The course consists of a mix of theoretical lectures and case studies. 2025-02-03 09:00:00 UTC 2025-02-04 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Choice modellingeconometricsmarketing

  • Applied Choice Modelling using Apollo

    5 - 6 February 2025

    Parkville, Australia

    Applied Choice Modelling using Apollo https://dresa.org.au/events/applied-choice-modelling-using-apollo Choice modelling is one the core methods of the applied economic sciences, including environmental, health, and transport economics. This 2-day masterclass provides participants with an introduction to applied choice modelling using the Apollo software. Apollo is open-source software for estimating choice models available in the R computing environment. The master-class will focus on hands-on exercises using the open-source Apollo software for the estimation of choice models. This is a lab-based masterclass introducing students to the use of the Apollo software. The masterclass will be applied and place its emphasis on the implementation of the methods and models used by choice modellers and on the analysis and interpretation of choice modelling results; links to choice modelling theory will be made, but this is not the emphasis of the course. The masterclass will introduce participants to the software and to the family of choice models estimable within Apollo. The focus will be “hands-on” exercises and estimating choice models using Apollo with data provided by the instructor. The masterclass will place particular emphasis on model estimation and interpretation. The exercises will span a range of application areas including environmental, health, and transport economics. 2025-02-05 09:00:00 UTC 2025-02-06 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Choice modellingeconometricsmarketing

  • NVivo Essentials: Online

    25 - 27 March 2025

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online-fc34269c-4eea-497a-a6a7-ec46a01a248d NVivo is computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required. This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. 2025-03-25 10:00:00 UTC 2025-03-27 14:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo

  • Predictive Analytics for Data Science: Linear and Non-Linear Modelling

    28 - 29 March 2025

    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-e8d89bd0-1e2e-44ba-b3bf-5f3094a2130f 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. Regression modelling is a foundation in data science and a must for anyone wanting to venture into this space. Understanding when and how to use linear and non-linear regression models in everyday research is an essential skill for any analyst. Linear and non-linear regression models are commonly used to quantify the relationship between two or more variables by predicting a key outcome of interest. These models are used as effective and powerful tools to control for the potential confounding effect of extraneous variables and/or developing highly predictive models. Linear regression relates to continuous outcomes and is a fundamental regression technique in data science. Logistic regression is used when the outcome of interest is categorical and a fundamental classification technique in data science. When there is no theoretical or mechanistic model to suggest a particular functional form to describe the relationship between two or more variables of interest, Generalized Additive Models (GAMs) can used as they fit a nonparametric curve to the data without requiring pre-defining any particular mathematical model to describe the nonlinearity. Gaining a sound understanding of all these models is essential to understand when it is appropriate to use these techniques. 2025-03-28 09:30:00 UTC 2025-03-29 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Predictive modelsPredictive AnalyticsData Sciencesocial data science

  • Questionnaire Design: Online

    3 - 4 April 2025

    Questionnaire Design: Online https://dresa.org.au/events/questionnaire-design-online-faf39ce5-2cb1-44a5-81f1-b9191d4a50a4 This two day workshop will focus on questionnaire design: types of questions, types of response categories, open versus closed ended questions, questionnaire layout and order of questions and questioning, common mistakes, pilot testing and specific issues such as “The importance of Cover Design.” The workshop includes practice designing the layout of surveys and practice critiquing and writing questions and responses. Topics that are covered include uses of surveys, constructing survey questions that are clear and unbiased, the need to match attitudinal or behavioral data collection with the purpose of the survey, and combining objective and open-ended questioning in order to enhance the usability of results. Types of data that can be collected in surveys will be covered, as well common mistakes made with surveys. The use of an internet survey tool will be demonstrated. 2025-04-03 10:00:00 UTC 2025-04-04 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Questionnaire designsurvey designsurvey instrumentssurvey research

  • Discourse Analysis: Online

    28 - 29 April 2025

    Discourse Analysis: Online https://dresa.org.au/events/discourse-analysis-online Utilising existing data in qualitative research is extremely valuable either as a total data set in its own right or as a subset to enhance interview and observational data sets. Michael Foucault initiated the basic approach to dealing with existing spoken, written or visual data such as policy documents, case notes, photos, articles etc. and this was later further developed by Norman Fairclough into Critical Discourse analysis. This two-day online course will demonstrate with practical examples, the two major approaches to analysing dicourses: Foucauldian and Critical Discourse Analysis. 2025-04-28 09:30:00 UTC 2025-04-29 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all Qualitative ResearchQualitative methodsqualitativediscourse analysisqualitative data

  • Focus Group Design and Moderation: Online

    12 - 15 May 2025

    Focus Group Design and Moderation: Online https://dresa.org.au/events/focus-group-design-and-moderation-online-1d1eade5-aae4-47ea-b6c8-5e37102691fb This master-class runs over three half days and equips participants with practical techniques and a solid understanding of focus group methods for social research. The course covers the theoretical foundations of conducting focus groups, including their value, limitations, and ethical considerations. With a trauma-informed lens, participants will learn how to translate research questions into effective discussion guides and apply them in practice, using group activities for both face-to-face and online settings. The masterclass also includes opportunities to develop moderation skills and create materials for participants' own research projects (or someone else’s). Practical guidance will be provided on setting up a safe, engaging group environment (in-person or virtual), managing challenging group dynamics, handling logistical considerations, and preparing for the next steps in data analysis. 2025-05-12 09:30:00 UTC 2025-05-15 13:45:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Focus groupsfocus group designfocus group moderationqualitative dataqualitative interviewing

  • NVivo for a Literature Review

    29 - 30 July 2025

    NVivo for a Literature Review https://dresa.org.au/events/nvivo-for-a-literature-review-906a8ae0-fcd1-4235-b940-dd76481d8e9c 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. By the end of the workshop attendees will: Have a basic understanding on how to use NVivo How to get the most out of their literature using NVivo 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. 2025-07-29 09:30:00 UTC 2025-07-30 12:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all NVivoqualitative dataQualitative methodsData analysisliterature review

  • Data Analysis in R: Online

    20 January - 4 February 2025

    Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data. The unit will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research. Exercises will be provided, including additional problems and datasets for extra practice outside of scheduled sessions, and one-on-one consultations can be scheduled by appointment the following week. 2025-01-20 10:00:00 UTC 2025-02-04 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Introduction to RR statistical softwareR statisticsStatisticsStatistical Methods

  • Qualitative Research: Design, Analysis and Representation

    3 - 7 February 2025

    Parkville, Australia

    Qualitative Research: Design, Analysis and Representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-9e3c11c2-470a-4eac-aff9-625df80944e9 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. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 [] open_to_all Qualitative ResearchQualitative methodsqualitative data

  • Fundamentals of Choice Modelling

    3 - 4 February 2025

    Parkville, Australia

    Fundamentals of Choice Modelling https://dresa.org.au/events/fundamentals-of-choice-modelling Choice modelling is a specialised area of micro-econometrics that develops and applies mathematical models that represent human decision making. Choice models are used extensively to understand current behaviour and predict future choices in the applied fields of the economic sciences, especially environmental, health, and transport economics. Other application areas include business and marketing. In addition to addressing questions of academic interest, choice modelling informs policy and strategy making in these applied economic disciplines. This 2-day masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and also talks about the data requirements, model estimation, and the use of models to produce outputs for policy. The course consists of a mix of theoretical lectures and case studies. 2025-02-03 09:00:00 UTC 2025-02-04 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Choice modellingeconometricsmarketing

  • Applied Choice Modelling using Apollo

    5 - 6 February 2025

    Parkville, Australia

    Applied Choice Modelling using Apollo https://dresa.org.au/events/applied-choice-modelling-using-apollo Choice modelling is one the core methods of the applied economic sciences, including environmental, health, and transport economics. This 2-day masterclass provides participants with an introduction to applied choice modelling using the Apollo software. Apollo is open-source software for estimating choice models available in the R computing environment. The master-class will focus on hands-on exercises using the open-source Apollo software for the estimation of choice models. This is a lab-based masterclass introducing students to the use of the Apollo software. The masterclass will be applied and place its emphasis on the implementation of the methods and models used by choice modellers and on the analysis and interpretation of choice modelling results; links to choice modelling theory will be made, but this is not the emphasis of the course. The masterclass will introduce participants to the software and to the family of choice models estimable within Apollo. The focus will be “hands-on” exercises and estimating choice models using Apollo with data provided by the instructor. The masterclass will place particular emphasis on model estimation and interpretation. The exercises will span a range of application areas including environmental, health, and transport economics. 2025-02-05 09:00:00 UTC 2025-02-06 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Choice modellingeconometricsmarketing

  • NVivo Essentials: Online

    25 - 27 March 2025

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online-fc34269c-4eea-497a-a6a7-ec46a01a248d NVivo is computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required. This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. 2025-03-25 10:00:00 UTC 2025-03-27 14:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo

  • Predictive Analytics for Data Science: Linear and Non-Linear Modelling

    28 - 29 March 2025

    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-e8d89bd0-1e2e-44ba-b3bf-5f3094a2130f 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. Regression modelling is a foundation in data science and a must for anyone wanting to venture into this space. Understanding when and how to use linear and non-linear regression models in everyday research is an essential skill for any analyst. Linear and non-linear regression models are commonly used to quantify the relationship between two or more variables by predicting a key outcome of interest. These models are used as effective and powerful tools to control for the potential confounding effect of extraneous variables and/or developing highly predictive models. Linear regression relates to continuous outcomes and is a fundamental regression technique in data science. Logistic regression is used when the outcome of interest is categorical and a fundamental classification technique in data science. When there is no theoretical or mechanistic model to suggest a particular functional form to describe the relationship between two or more variables of interest, Generalized Additive Models (GAMs) can used as they fit a nonparametric curve to the data without requiring pre-defining any particular mathematical model to describe the nonlinearity. Gaining a sound understanding of all these models is essential to understand when it is appropriate to use these techniques. 2025-03-28 09:30:00 UTC 2025-03-29 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Predictive modelsPredictive AnalyticsData Sciencesocial data science

  • Questionnaire Design: Online

    3 - 4 April 2025

    Questionnaire Design: Online https://dresa.org.au/events/questionnaire-design-online-faf39ce5-2cb1-44a5-81f1-b9191d4a50a4 This two day workshop will focus on questionnaire design: types of questions, types of response categories, open versus closed ended questions, questionnaire layout and order of questions and questioning, common mistakes, pilot testing and specific issues such as “The importance of Cover Design.” The workshop includes practice designing the layout of surveys and practice critiquing and writing questions and responses. Topics that are covered include uses of surveys, constructing survey questions that are clear and unbiased, the need to match attitudinal or behavioral data collection with the purpose of the survey, and combining objective and open-ended questioning in order to enhance the usability of results. Types of data that can be collected in surveys will be covered, as well common mistakes made with surveys. The use of an internet survey tool will be demonstrated. 2025-04-03 10:00:00 UTC 2025-04-04 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Questionnaire designsurvey designsurvey instrumentssurvey research

  • Discourse Analysis: Online

    28 - 29 April 2025

    Discourse Analysis: Online https://dresa.org.au/events/discourse-analysis-online Utilising existing data in qualitative research is extremely valuable either as a total data set in its own right or as a subset to enhance interview and observational data sets. Michael Foucault initiated the basic approach to dealing with existing spoken, written or visual data such as policy documents, case notes, photos, articles etc. and this was later further developed by Norman Fairclough into Critical Discourse analysis. This two-day online course will demonstrate with practical examples, the two major approaches to analysing dicourses: Foucauldian and Critical Discourse Analysis. 2025-04-28 09:30:00 UTC 2025-04-29 15:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 [] open_to_all Qualitative ResearchQualitative methodsqualitativediscourse analysisqualitative data

  • Focus Group Design and Moderation: Online

    12 - 15 May 2025

    Focus Group Design and Moderation: Online https://dresa.org.au/events/focus-group-design-and-moderation-online-1d1eade5-aae4-47ea-b6c8-5e37102691fb This master-class runs over three half days and equips participants with practical techniques and a solid understanding of focus group methods for social research. The course covers the theoretical foundations of conducting focus groups, including their value, limitations, and ethical considerations. With a trauma-informed lens, participants will learn how to translate research questions into effective discussion guides and apply them in practice, using group activities for both face-to-face and online settings. The masterclass also includes opportunities to develop moderation skills and create materials for participants' own research projects (or someone else’s). Practical guidance will be provided on setting up a safe, engaging group environment (in-person or virtual), managing challenging group dynamics, handling logistical considerations, and preparing for the next steps in data analysis. 2025-05-12 09:30:00 UTC 2025-05-15 13:45:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Focus groupsfocus group designfocus group moderationqualitative dataqualitative interviewing

  • NVivo for a Literature Review

    29 - 30 July 2025

    NVivo for a Literature Review https://dresa.org.au/events/nvivo-for-a-literature-review-906a8ae0-fcd1-4235-b940-dd76481d8e9c 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. By the end of the workshop attendees will: Have a basic understanding on how to use NVivo How to get the most out of their literature using NVivo 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. 2025-07-29 09:30:00 UTC 2025-07-30 12:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all NVivoqualitative dataQualitative methodsData analysisliterature review

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