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  • 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 []

  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

    Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/developing-r-packages-and-cran-publishing-with-fodil-ihaddaden-institute-for-statistical-and-data-science-ce1b48a4-17d2-4ec9-af57-c9a0158a5e46 This seminar provides an introduction to R package development, emphasizing best practices and common pitfalls to avoid. Participants will gain practical skills for creating efficient and reliable R packages, including publishing on CRAN, enhancing their research capabilities and expanding their contributions to the scientific community. 2025-01-24 00:00:00 UTC 2025-01-25 06:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

    Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/developing-r-packages-and-cran-publishing-with-fodil-ihaddaden-institute-for-statistical-and-data-science This seminar provides an introduction to R package development, emphasizing best practices and common pitfalls to avoid. Participants will gain practical skills for creating efficient and reliable R packages, including publishing on CRAN, enhancing their research capabilities and expanding their contributions to the scientific community. 2025-01-24 08:00:00 UTC 2025-01-25 02:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

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

    24 - 25 January 2025

    Introduction to SPSS with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-spss-with-centre-for-applied-statistics-courses-casc-university-college-london This one-day seminar provides a comprehensive introduction to SPSS, equipping researchers with essential skills for data analysis, including data management, statistical testing, and result presentation. Participants will gain practical experience and insights needed to confidently apply SPSS to enhance the rigor and impact of their academic work. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-24 20:30:00 UTC 2025-01-25 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University

    27 - 28 January 2025

    Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/deep-learning-for-the-life-sciences-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to areas like genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []

  • Deep Learning for Scientific Research with Nikolay Oskolkov, Molecular Biosciences, Lund University

    27 - 28 January 2025

    Deep Learning for Scientific Research with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/deep-learning-for-scientific-research-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications for scientific research, with examples and practical techniques applied to complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to a variety of areas including genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University 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 []

  • Sample Size Estimation and Power Calculations with Excel with Centre for Applied Statistics Courses (CASC), University College London

    28 - 29 January 2025

    Sample Size Estimation and Power Calculations with Excel with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/sample-size-estimation-and-power-calculations-with-excel-with-centre-for-applied-statistics-courses-casc-university-college-london This one-day workshop provides a comprehensive introduction to sample size estimation and power calculations, essential for designing statistically sound research studies across various fields. Participants will gain practical skills in applying these techniques using Excel, enhancing their ability to produce credible and methodologically robust research outcomes. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-28 20:30:00 UTC 2025-01-29 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London 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

  • Conducting Interviews for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    5 - 6 February 2025

    Conducting Interviews for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/conducting-interviews-for-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop provides a comprehensive guide to conducting interviews for qualitative research, equipping participants with the skills necessary to design effective interview questions, manage data using NVivo and ELAN, and address ethical concerns. Led by Dr. Corinne Seals, this seminar will enhance your ability to conduct interviews that extract meaningful insights, ultimately contributing to robust and compelling academic research. 2025-02-05 09:00:00 UTC 2025-02-06 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Dealing with Missing Data with Centre for Applied Statistics Courses (CASC), University College London

    5 - 8 February 2025

    Introduction to Dealing with Missing Data with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-dealing-with-missing-data-with-centre-for-applied-statistics-courses-casc-university-college-london This seminar provides a comprehensive introduction to dealing with missing data in research, covering essential concepts such as the types and reasons behind missing data, and effective/popular methods for addressing these issues, including multiple imputation and listwise deletion. Participants will enhance their analytical skills through a combination of theoretical knowledge and practical application, improving the credibility and reliability of their research findings. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-02-05 20:30:00 UTC 2025-02-08 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • 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 []

  • Using ChatGPT for Advanced Data Analysis 4.0 [Europe/Asia] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    10 - 12 February 2025

    Using ChatGPT for Advanced Data Analysis 4.0 [Europe/Asia] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-4-0-europe-asia-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and model and on assessing the output. The course also reflects on implications of AI for data analysis and the academic research process more generally. 2025-02-10 19:00:00 UTC 2025-02-12 23:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana 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 []

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

    10 - 11 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-35196742-c552-4c50-9582-61edf348c5e5 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 2025-02-11 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []

  • Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    11 February 2025

    Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-an-introduction-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides a basic introduction to using artificial intelligence for text analysis. Tailored for researchers across a variety of social and health science fields, participants will gain practical skills in building text corpuses, topic modeling, and using ChatGPT, Copilot, and other Large Language Models (LLMs) in R, while addressing ethical considerations and validation techniques for AI-driven research. 2025-02-11 03:00:00 UTC 2025-02-11 09:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne 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)

    11 - 12 February 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-bc5f7852-fcd6-41b2-a59d-ec12a1bfe259 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. 2025-02-11 22:00:00 UTC 2025-02-12 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 []

  • 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 []

  • Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London

    12 - 14 February 2025

    Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London https://dresa.org.au/events/multilevel-and-growth-curve-models-in-r-and-stata-with-department-of-epidemiology-and-public-health-university-college-london This two-day workshop provides a comprehensive exploration of mixed models and growth curves, focusing on the practical application of these methods in Stata and R for analyzing longitudinal and hierarchical data. Participants will gain essential skills in specifying, fitting, and interpreting mixed models, enhancing their research capabilities in fields such as psychology, sociology, and public health. 2025-02-12 20:00:00 UTC 2025-02-14 00:00:00 UTC Department of Epidemiology and Public Health, University College London Instats info@instats.org [] [] [] open_to_all []

  • Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University

    14 - 15 February 2025

    Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University https://dresa.org.au/events/pre-analysis-phases-of-systematic-reviews-and-meta-analysis-with-carlton-fong-department-of-curriculum-and-instruction-texas-state-university This two-day workshop focuses on the essential pre-analysis phases of systematic reviews and meta-analyses, equipping participants with the skills needed to develop precise research questions, design effective search strategies, and apply rigorous screening criteria. Attendees will gain practical tools and techniques for robust study inclusion, ultimately enhancing the quality and impact of their research outputs. 2025-02-14 03:00:00 UTC 2025-02-15 08:00:00 UTC Carlton Fong, Department of Curriculum and Instruction, Texas State University Instats info@instats.org [] [] [] open_to_all []

  • Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem

    17 - 19 February 2025

    Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem https://dresa.org.au/events/collective-memory-in-organizations-current-theory-and-applications-with-micki-eisenman-the-hebrew-university-of-jerusalem This transformative 3-day workshop, led by esteemed scholar Micki Eisenman, delves into the intricate dynamics of organizational memory, exploring its impact on decision-making, strategy, and competitive advantage. Participants will gain comprehensive insights into theories and applications, enhancing their research capabilities and understanding of how to think about organizational memory as a strategic resource. 2025-02-17 18:00:00 UTC 2025-02-19 22:00:00 UTC Micki Eisenman, The Hebrew University of Jerusalem Instats info@instats.org [] [] [] open_to_all []

  • Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    18 February 2025

    Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-advanced-applications-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides an advanced exploration of AI-driven text analysis, focusing on the application and fine-tuning of open-source large language models to enhance research across various academic disciplines. Participants will gain practical skills in setting up local environments and employing sophisticated AI methodologies, empowering them to conduct independent and impactful text analysis while ensuring data security and privacy. 2025-02-18 10:00:00 UTC 2025-02-18 16:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []

  • Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen

    19 - 21 February 2025

    Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen https://dresa.org.au/events/longitudinal-social-network-analysis-with-tom-snijders-university-of-oxford-and-university-of-groningen This three-day workshop provides an introductory overview of longitudinal social network analysis using the RSiena package, focusing on the application of Stochastic Actor-oriented Models to study network dynamics as well as dynamics of networks and behavior. Participants will gain practical skills in modeling network panel data, as well as modeling co-evolution of networks and behavior, for application of these techniques across various academic disciplines. 2025-02-19 00:00:00 UTC 2025-02-21 08:00:00 UTC Tom Snijders, University of Oxford and University of Groningen 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 []

  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

    Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/developing-r-packages-and-cran-publishing-with-fodil-ihaddaden-institute-for-statistical-and-data-science-ce1b48a4-17d2-4ec9-af57-c9a0158a5e46 This seminar provides an introduction to R package development, emphasizing best practices and common pitfalls to avoid. Participants will gain practical skills for creating efficient and reliable R packages, including publishing on CRAN, enhancing their research capabilities and expanding their contributions to the scientific community. 2025-01-24 00:00:00 UTC 2025-01-25 06:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

  • Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science

    24 - 25 January 2025

    Developing R Packages and CRAN Publishing with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/developing-r-packages-and-cran-publishing-with-fodil-ihaddaden-institute-for-statistical-and-data-science This seminar provides an introduction to R package development, emphasizing best practices and common pitfalls to avoid. Participants will gain practical skills for creating efficient and reliable R packages, including publishing on CRAN, enhancing their research capabilities and expanding their contributions to the scientific community. 2025-01-24 08:00:00 UTC 2025-01-25 02:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

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

    24 - 25 January 2025

    Introduction to SPSS with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-spss-with-centre-for-applied-statistics-courses-casc-university-college-london This one-day seminar provides a comprehensive introduction to SPSS, equipping researchers with essential skills for data analysis, including data management, statistical testing, and result presentation. Participants will gain practical experience and insights needed to confidently apply SPSS to enhance the rigor and impact of their academic work. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-24 20:30:00 UTC 2025-01-25 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University

    27 - 28 January 2025

    Deep Learning for the Life Sciences with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/deep-learning-for-the-life-sciences-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications in life sciences, focusing on practical techniques for analyzing complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to areas like genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University Instats info@instats.org [] [] [] open_to_all []

  • Deep Learning for Scientific Research with Nikolay Oskolkov, Molecular Biosciences, Lund University

    27 - 28 January 2025

    Deep Learning for Scientific Research with Nikolay Oskolkov, Molecular Biosciences, Lund University https://dresa.org.au/events/deep-learning-for-scientific-research-with-nikolay-oskolkov-molecular-biosciences-lund-university This intensive workshop provides a comprehensive exploration of deep learning applications for scientific research, with examples and practical techniques applied to complex biological datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct neural networks and apply them to a variety of areas including genomics and personalized medicine. 2025-01-27 19:00:00 UTC 2025-01-28 01:00:00 UTC Nikolay Oskolkov, Molecular Biosciences, Lund University 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 []

  • Sample Size Estimation and Power Calculations with Excel with Centre for Applied Statistics Courses (CASC), University College London

    28 - 29 January 2025

    Sample Size Estimation and Power Calculations with Excel with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/sample-size-estimation-and-power-calculations-with-excel-with-centre-for-applied-statistics-courses-casc-university-college-london This one-day workshop provides a comprehensive introduction to sample size estimation and power calculations, essential for designing statistically sound research studies across various fields. Participants will gain practical skills in applying these techniques using Excel, enhancing their ability to produce credible and methodologically robust research outcomes. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-01-28 20:30:00 UTC 2025-01-29 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London 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

  • Conducting Interviews for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    5 - 6 February 2025

    Conducting Interviews for Qualitative Research with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/conducting-interviews-for-qualitative-research-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This two-day workshop provides a comprehensive guide to conducting interviews for qualitative research, equipping participants with the skills necessary to design effective interview questions, manage data using NVivo and ELAN, and address ethical concerns. Led by Dr. Corinne Seals, this seminar will enhance your ability to conduct interviews that extract meaningful insights, ultimately contributing to robust and compelling academic research. 2025-02-05 09:00:00 UTC 2025-02-06 13:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Dealing with Missing Data with Centre for Applied Statistics Courses (CASC), University College London

    5 - 8 February 2025

    Introduction to Dealing with Missing Data with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-dealing-with-missing-data-with-centre-for-applied-statistics-courses-casc-university-college-london This seminar provides a comprehensive introduction to dealing with missing data in research, covering essential concepts such as the types and reasons behind missing data, and effective/popular methods for addressing these issues, including multiple imputation and listwise deletion. Participants will enhance their analytical skills through a combination of theoretical knowledge and practical application, improving the credibility and reliability of their research findings. An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-02-05 20:30:00 UTC 2025-02-08 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • 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 []

  • Using ChatGPT for Advanced Data Analysis 4.0 [Europe/Asia] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    10 - 12 February 2025

    Using ChatGPT for Advanced Data Analysis 4.0 [Europe/Asia] with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-4-0-europe-asia-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT for statistical analysis without having to use a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and model and on assessing the output. The course also reflects on implications of AI for data analysis and the academic research process more generally. 2025-02-10 19:00:00 UTC 2025-02-12 23:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana 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 []

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

    10 - 11 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-35196742-c552-4c50-9582-61edf348c5e5 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 2025-02-11 00:00:00 UTC Lydia Bals, School of Business, University of Applied Sciences Mainz Instats info@instats.org [] [] [] open_to_all []

  • Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    11 February 2025

    Using AI for Text Analysis: An Introduction with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-an-introduction-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides a basic introduction to using artificial intelligence for text analysis. Tailored for researchers across a variety of social and health science fields, participants will gain practical skills in building text corpuses, topic modeling, and using ChatGPT, Copilot, and other Large Language Models (LLMs) in R, while addressing ethical considerations and validation techniques for AI-driven research. 2025-02-11 03:00:00 UTC 2025-02-11 09:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne 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)

    11 - 12 February 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-bc5f7852-fcd6-41b2-a59d-ec12a1bfe259 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. 2025-02-11 22:00:00 UTC 2025-02-12 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 []

  • 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 []

  • Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London

    12 - 14 February 2025

    Multilevel and Growth Curve Models in R and Stata with Department of Epidemiology and Public Health, University College London https://dresa.org.au/events/multilevel-and-growth-curve-models-in-r-and-stata-with-department-of-epidemiology-and-public-health-university-college-london This two-day workshop provides a comprehensive exploration of mixed models and growth curves, focusing on the practical application of these methods in Stata and R for analyzing longitudinal and hierarchical data. Participants will gain essential skills in specifying, fitting, and interpreting mixed models, enhancing their research capabilities in fields such as psychology, sociology, and public health. 2025-02-12 20:00:00 UTC 2025-02-14 00:00:00 UTC Department of Epidemiology and Public Health, University College London Instats info@instats.org [] [] [] open_to_all []

  • Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University

    14 - 15 February 2025

    Pre-Analysis Phases of Systematic Reviews and Meta-Analysis with Carlton Fong, Department of Curriculum and Instruction, Texas State University https://dresa.org.au/events/pre-analysis-phases-of-systematic-reviews-and-meta-analysis-with-carlton-fong-department-of-curriculum-and-instruction-texas-state-university This two-day workshop focuses on the essential pre-analysis phases of systematic reviews and meta-analyses, equipping participants with the skills needed to develop precise research questions, design effective search strategies, and apply rigorous screening criteria. Attendees will gain practical tools and techniques for robust study inclusion, ultimately enhancing the quality and impact of their research outputs. 2025-02-14 03:00:00 UTC 2025-02-15 08:00:00 UTC Carlton Fong, Department of Curriculum and Instruction, Texas State University Instats info@instats.org [] [] [] open_to_all []

  • Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem

    17 - 19 February 2025

    Collective Memory in Organizations: Current Theory and Applications with Micki Eisenman, The Hebrew University of Jerusalem https://dresa.org.au/events/collective-memory-in-organizations-current-theory-and-applications-with-micki-eisenman-the-hebrew-university-of-jerusalem This transformative 3-day workshop, led by esteemed scholar Micki Eisenman, delves into the intricate dynamics of organizational memory, exploring its impact on decision-making, strategy, and competitive advantage. Participants will gain comprehensive insights into theories and applications, enhancing their research capabilities and understanding of how to think about organizational memory as a strategic resource. 2025-02-17 18:00:00 UTC 2025-02-19 22:00:00 UTC Micki Eisenman, The Hebrew University of Jerusalem Instats info@instats.org [] [] [] open_to_all []

  • Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne

    18 February 2025

    Using AI for Text Analysis: Advanced Applications with Seraphine Maerz, School of Social and Political Science, University of Melbourne https://dresa.org.au/events/using-ai-for-text-analysis-advanced-applications-with-seraphine-maerz-school-of-social-and-political-science-university-of-melbourne This one-day workshop provides an advanced exploration of AI-driven text analysis, focusing on the application and fine-tuning of open-source large language models to enhance research across various academic disciplines. Participants will gain practical skills in setting up local environments and employing sophisticated AI methodologies, empowering them to conduct independent and impactful text analysis while ensuring data security and privacy. 2025-02-18 10:00:00 UTC 2025-02-18 16:00:00 UTC Seraphine Maerz, School of Social and Political Science, University of Melbourne Instats info@instats.org [] [] [] open_to_all []

  • Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen

    19 - 21 February 2025

    Longitudinal Social Network Analysis with Tom Snijders, University of Oxford and University of Groningen https://dresa.org.au/events/longitudinal-social-network-analysis-with-tom-snijders-university-of-oxford-and-university-of-groningen This three-day workshop provides an introductory overview of longitudinal social network analysis using the RSiena package, focusing on the application of Stochastic Actor-oriented Models to study network dynamics as well as dynamics of networks and behavior. Participants will gain practical skills in modeling network panel data, as well as modeling co-evolution of networks and behavior, for application of these techniques across various academic disciplines. 2025-02-19 00:00:00 UTC 2025-02-21 08:00:00 UTC Tom Snijders, University of Oxford and University of Groningen Instats info@instats.org [] [] [] open_to_all []

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