1. Home
  2. Content providers
  3. Instats
Back

Instats

Contact: info@instats.org

Instats is a mission-driven organization devoted to improving research practices across the globe. Instats does this by facilitating expert-led training for PhD and post-PhD researchers across a broad range of fields, methods, and theoretical orientations through the Instats platform.

Instats is seeking partners who share the vision of supporting and improving multidisciplinary research. To do this, individual and institutional partnerships are central to our ethos, and we reflect this in our approach to these partnerships. We work with each partner to offer their content in a way that meets their knowledge community’s interests and needs. Instats helps partners offer their content and expertise by freely providing a full service, technologically sophisticated, easy-to-use platform for delivering seminars and workshops, as well as connecting with the research community more broadly through free community forums, social networking, Q&A boards, and job postings.

Instats https://dresa.org.au/content_providers/instats Instats is a mission-driven organization devoted to improving research practices across the globe. Instats does this by facilitating expert-led training for PhD and post-PhD researchers across a broad range of fields, methods, and theoretical orientations through the Instats platform. Instats is seeking partners who share the vision of supporting and improving multidisciplinary research. To do this, individual and institutional partnerships are central to our ethos, and we reflect this in our approach to these partnerships. We work with each partner to offer their content in a way that meets their knowledge community’s interests and needs. Instats helps partners offer their content and expertise by freely providing a full service, technologically sophisticated, easy-to-use platform for delivering seminars and workshops, as well as connecting with the research community more broadly through free community forums, social networking, Q&A boards, and job postings. /system/content_providers/images/000/000/042/original/instats_logo.jpg?1730854514
Found 0 material.
Showing 30 upcoming event out of 100. Found 359 past event. View all results.

  • Advanced QGIS: Spatial Analysis with Nick Bearman, University College London and Geospatial Training Solutions

    29 - 30 October 2025

    Advanced QGIS: Spatial Analysis with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/advanced-qgis-spatial-analysis-with-nick-bearman-university-college-london-and-geospatial-training-solutions This intensive seminar provides a deep dive into advanced spatial analysis techniques using QGIS, aimed at enhancing research capabilities in various academic fields. Participants will gain proficiency in complex GIS operations, such as spatial overlays and point-based access analysis, equipping them with the skills to leverage spatial data for insightful research outcomes. 2025-10-29 00:00:00 UTC 2025-10-30 03:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

  • Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University

    15 - 17 October 2025

    Successful Qualitative Research with David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University https://dresa.org.au/events/successful-qualitative-research-with-david-silverman-goldsmiths-university-of-london-king-s-college-london-university-of-technology-sydney-leeds-university-46e3184e-8a03-4108-a864-a2be3911a9ca This workshop provides a unique opportunity to refine and elevate your research by discovering extraordinary realities in what appear to be ordinary practices. For PhD students and academic researchers, key learning outcomes of this workshop include the ability to design robust qualitative studies, the skill to critically evaluate and interpret qualitative data, and the capacity to articulate research findings with clarity and impact. Participants will also develop a nuanced understanding of majority and minority qualitative research strategies and the value of Constructionist approaches focused on what people do. 2025-10-15 20:00:00 UTC 2025-10-17 23:00:00 UTC David Silverman, Goldsmiths University of London, King's College London, University of Technology Sydney, Leeds University Instats info@instats.org [] [] [] open_to_all []

  • Observational Research Design and Analysis with Lauren Wisnieski, Richard A. Gillespie College of Veterinary Medicine, Lincoln Memorial University

    9 - 11 December 2025

    Observational Research Design and Analysis with Lauren Wisnieski, Richard A. Gillespie College of Veterinary Medicine, Lincoln Memorial University https://dresa.org.au/events/observational-research-design-and-analysis-with-lauren-wisnieski-richard-a-gillespie-college-of-veterinary-medicine-lincoln-memorial-university-898dd9c9-fe71-4259-b844-709344ba4d62 This workshop introduces participants to the essentials of observational research, covering study types (cross-sectional, cohort, case-control, ecological) and when they are most appropriate. Participants will learn how to design studies and choose sampling strategies, define exposures and outcomes, and collect valid, reliable data. Key challenges such as bias, confounding, and effect modification are explored alongside strategies to address them, including DAGs and statistical adjustments. The workshop also highlights common analytic methods, ethical considerations, and reporting standards like STROBE. Through lectures, group activities, and critiques of published studies, participants gain practical skills to design, analyze, and evaluate observational research responsibly. 2025-12-09 01:30:00 UTC 2025-12-11 04:00:00 UTC Lauren Wisnieski, Richard A. Gillespie College of Veterinary Medicine, Lincoln Memorial University Instats info@instats.org [] [] [] open_to_all []

  • Deep Learning for Complex Datasets with ChatGPT with Nikolay Oskolkov, Group Leader (PI) at LIOS

    27 - 28 October 2025

    Deep Learning for Complex Datasets with ChatGPT with Nikolay Oskolkov, Group Leader (PI) at LIOS https://dresa.org.au/events/deep-learning-for-complex-datasets-with-chatgpt-with-nikolay-oskolkov-group-leader-pi-at-lios-ca5f49bd-3e46-4e6f-8ba9-0fa207b70504 This intensive workshop provides a comprehensive exploration of deep learning applications for scientific research, with examples and practical techniques applied to complex datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct and tune neural network architectures consulting ChatGPT and apply the models to a variety of areas including genomics and personalized medicine. 2025-10-27 19:00:00 UTC 2025-10-28 01:00:00 UTC Nikolay Oskolkov, Group Leader (PI) at LIOS Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Hospital Episode Statistics with Great Ormond Street Institute of Child Health, University College London

    6 - 8 November 2025

    Introduction to Hospital Episode Statistics with Great Ormond Street Institute of Child Health, University College London https://dresa.org.au/events/introduction-to-hospital-episode-statistics-with-great-ormond-street-institute-of-child-health-university-college-london This short course is designed to give participants a practical introduction to Hospital Episode Statistics (HES). HES contains records of all patients admitted to National Health Service (NHS) hospitals in England, as well as details of inpatient care, outpatient appointments and emergency department attendances—useful for research, clinical outcomes monitoring, and public health and service planning. In addition to covering the cleaning and analysis of HES data, the course shows how to apply for HES data and their strengths / weaknesses.  2025-11-06 21:00:00 UTC 2025-11-08 03:00:00 UTC Great Ormond Street Institute of Child Health, University College London Instats info@instats.org [] [] [] open_to_all []

  • Finding Unpublished Clinical Trial Data with Julie Glanville, Glanville.info

    12 December 2025

    Finding Unpublished Clinical Trial Data with Julie Glanville, Glanville.info https://dresa.org.au/events/finding-unpublished-clinical-trial-data-with-julie-glanville-glanville-info-9511a9b5-2e82-41bf-8145-b49e8094765b This workshop provides an overview of identifying clinical trials and trial results for systematic reviews and other evidence syntheses. It covers sources such as trials / trials results registers, regulatory agency sources, and other novel resources. Participants will learn how to search the above sources and how to report their searches. 2025-12-12 02:00:00 UTC 2025-12-12 05:00:00 UTC Julie Glanville, Glanville.info Instats info@instats.org [] [] [] open_to_all []

  • Ethnography in Risky Settings with Tobias Marschall, Graduate Institute Geneva

    23 - 25 October 2025

    Ethnography in Risky Settings with Tobias Marschall, Graduate Institute Geneva https://dresa.org.au/events/ethnography-in-risky-settings-with-tobias-marschall-graduate-institute-geneva This workshop examines the ethical and political demands of ethnography in risky settings, where danger and uncertainty often push work beyond procedural ethics. Building on ethnography’s pursuit of cultural intimacy and thick description, we treat accuracy, authenticity, and truthfulness as contested criteria and trace how realism vs. fiction, visibility and form, intensified image circulation, and tightening border regimes reshape practice. Through discussion, case analyses, and structured debates, participants explore informed consent, participation, “do no harm,” and authorship. We also consider alternative publication modalities and reflect on researchers’ multiple roles and the ethical stakes of long-term engagement in contexts of risk and vulnerability. 2025-10-23 04:30:00 UTC 2025-10-25 07:00:00 UTC Tobias Marschall, Graduate Institute Geneva Instats info@instats.org [] [] [] open_to_all []

  • Observational Research Design and Analysis with Lauren Wisnieski, Richard A. Gillespie College of Veterinary Medicine, Lincoln Memorial University

    9 - 11 December 2025

    Observational Research Design and Analysis with Lauren Wisnieski, Richard A. Gillespie College of Veterinary Medicine, Lincoln Memorial University https://dresa.org.au/events/observational-research-design-and-analysis-with-lauren-wisnieski-richard-a-gillespie-college-of-veterinary-medicine-lincoln-memorial-university This workshop introduces participants to the essentials of observational research, covering study types (cross-sectional, cohort, case-control, ecological) and when they are most appropriate. Participants will learn how to design studies and choose sampling strategies, define exposures and outcomes, and collect valid, reliable data. Key challenges such as bias, confounding, and effect modification are explored alongside strategies to address them, including DAGs and statistical adjustments. The workshop also highlights common analytic methods, ethical considerations, and reporting standards like STROBE. Through lectures, group activities, and critiques of published studies, participants gain practical skills to design, analyze, and evaluate observational research responsibly. 2025-12-09 01:30:00 UTC 2025-12-11 03:30:00 UTC Lauren Wisnieski, Richard A. Gillespie College of Veterinary Medicine, Lincoln Memorial University Instats info@instats.org [] [] [] open_to_all []

  • Inventory Optimization with Python with Isik Bicer, Schulich School of Business, York University

    21 - 23 October 2025

    Inventory Optimization with Python with Isik Bicer, Schulich School of Business, York University https://dresa.org.au/events/inventory-optimization-with-python-with-isik-bicer-schulich-school-of-business-york-university This two-day seminar provides an in-depth exploration of inventory optimization, offering participants the theoretical knowledge and practical skills to address complex inventory challenges using Python. Under the expert guidance of Isik Bicer, attendees will learn to apply deterministic and stochastic inventory models, enhancing their research and professional capabilities in Operations Research and Supply Chain Management. 2025-10-21 01:00:00 UTC 2025-10-23 04:00:00 UTC Isik Bicer, Schulich School of Business, York University Instats info@instats.org [] [] [] open_to_all []

  • Integration in Mixed Methods Research: Principles and Practices with Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan

    23 October 2025

    Integration in Mixed Methods Research: Principles and Practices with Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan https://dresa.org.au/events/integration-in-mixed-methods-research-principles-and-practices-with-sergi-fabregues-department-of-psychology-and-education-universitat-oberta-de-catalunya-and-mixed-methods-program-university-of-michigan-41678d03-3f4c-4380-940e-cc819969c0d7 This seminar offers an in-depth exploration of integration in mixed methods research, teaching participants how to effectively integrate qualitative and quantitative data to enhance their research outcomes. Attendees will acquire essential skills in designing, implementing, and evaluating integration in mixed methods studies. 2025-10-23 00:00:00 UTC 2025-10-23 05:00:00 UTC Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan Instats info@instats.org [] [] [] open_to_all []

  • Research with Multiple Languages using AI with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington

    17 - 18 November 2025

    Research with Multiple Languages using AI with Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington https://dresa.org.au/events/research-with-multiple-languages-using-ai-with-corinne-seals-linguistics-and-applied-language-studies-victoria-university-of-wellington This workshop provides a comprehensive exploration of conducting research in multilingual contexts, addressing the unique challenges and opportunities involved. Participants will gain essential skills and practical tools for effectively collecting, interpreting, and analyzing multilingual data to enhance their research projects. 2025-11-17 08:00:00 UTC 2025-11-18 12:00:00 UTC Corinne Seals, Linguistics and Applied Language Studies, Victoria University of Wellington Instats info@instats.org [] [] [] open_to_all []

  • Macroecology Using R with Renan Maestri, Department of Ecology, Universidade Federal do Rio Grande do Sul

    12 - 17 January 2026

    Macroecology Using R with Renan Maestri, Department of Ecology, Universidade Federal do Rio Grande do Sul https://dresa.org.au/events/macroecology-using-r-with-renan-maestri-department-of-ecology-universidade-federal-do-rio-grande-do-sul This hands-on workshop trains researchers to turn large geographic, trait, and phylogenetic datasets into rigorous, reproducible analyses and publication-quality maps and metrics of biodiversity across space and time using R. Participants will learn practical R workflows for spatial data manipulation, grid-based diversity and phylogenetic metrics, biogeographic regionalization, and estimation of historical dispersal and diversification—skills immediately applicable to thesis chapters, manuscripts, and comparative studies. 2026-01-12 23:00:00 UTC 2026-01-17 03:00:00 UTC Renan Maestri, Department of Ecology, Universidade Federal do Rio Grande do Sul Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Mixed Methods Research: From Theory to Practice with Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan

    6 - 8 November 2025

    Introduction to Mixed Methods Research: From Theory to Practice with Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan https://dresa.org.au/events/introduction-to-mixed-methods-research-from-theory-to-practice-with-sergi-fabregues-department-of-psychology-and-education-universitat-oberta-de-catalunya-and-mixed-methods-program-university-of-michigan-fab31868-e571-4753-bf08-571c432d12e7 This seminar provides a comprehensive introduction to mixed methods research, integrating both qualitative and quantitative approaches to offer a deeper understanding of complex research questions. Participants will gain theoretical knowledge and practical skills in designing, conducting, and analyzing mixed methods studies, enhancing their research capabilities across various academic fields. 2025-11-06 01:30:00 UTC 2025-11-08 05:00:00 UTC Sergi Fabregues, Department of Psychology and Education, Universitat Oberta de Catalunya and Mixed Methods Program, University of Michigan Instats info@instats.org [] [] [] open_to_all []

  • Principles of Research Design (Free Seminar) with Bob Hancké, PEACS, LSE European Institute

    24 October 2025

    Principles of Research Design (Free Seminar) with Bob Hancké, PEACS, LSE European Institute https://dresa.org.au/events/principles-of-research-design-free-seminar-with-bob-hancke-peacs-lse-european-institute This one-day seminar provides PhD students, academics, and professional researchers from various social science disciplines with essential strategies for developing robust and impactful research projects. Participants will gain expertise in crafting research questions, recognizing suitable methodologies, and integrating ethical considerations, empowering them to design studies that contribute meaningfully to their fields. 2025-10-24 00:00:00 UTC 2025-10-24 03:00:00 UTC Bob Hancké, PEACS, LSE European Institute Instats info@instats.org [] [] [] open_to_all []

  • Longitudinal Analysis in Biostatistics: Problems and Solutions with Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State University

    15 November 2025

    Longitudinal Analysis in Biostatistics: Problems and Solutions with Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State University https://dresa.org.au/events/longitudinal-analysis-in-biostatistics-problems-and-solutions-with-tuhin-sheikh-biostatistics-college-of-health-solutions-arizona-state-university-72a581f7-3aab-41a4-8814-887458cd8c6c This seminar provides a comprehensive overview of the complexities and methodologies involved in longitudinal data analysis within biostatistics, focusing on modeling frameworks, strategies for handling missing data, and multilevel modeling. Participants will gain hands-on experience with advanced techniques in R, enhancing their ability to analyze and interpret longitudinal data effectively in their research endeavors. 2025-11-15 03:00:00 UTC 2025-11-15 08:30:00 UTC Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State University Instats info@instats.org [] [] [] open_to_all []

  • AI-Powered Business Analytics for Researchers with Martin Qiu, Lazaridis School of Business and Economics, Wilfrid Laurier University

    17 - 18 October 2025

    AI-Powered Business Analytics for Researchers with Martin Qiu, Lazaridis School of Business and Economics, Wilfrid Laurier University https://dresa.org.au/events/ai-powered-business-analytics-for-researchers-with-martin-qiu-lazaridis-school-of-business-and-economics-wilfrid-laurier-university This four-session workshop bridges the gap between established research methods and modern business-analytics techniques. It prepares you for a non-academic "Plan B" career path that is both intellectually stimulating and professionally rewarding. You'll learn how familiar stats tools like regression, experimental design, and hypothesis testing map onto supervised and unsupervised machine learning, data mining, and predictive analytics workflows. The workshop focuses on practical implementation using [b]R (or Python)[/b] and [b]Tableau[/b], with AI-supported coding to streamline routine tasks and provide a foundation for your expanding skill development. This will prepare you for diverse opportunities in both academia and industry. 2025-10-17 20:00:00 UTC 2025-10-18 02:00:00 UTC Martin Qiu, Lazaridis School of Business and Economics, Wilfrid Laurier University Instats info@instats.org [] [] [] open_to_all []

  • Energy Poverty, Health and Wellbeing with Apostolos Davillas, IZA - Institute of Labor Economics, Bonn

    23 - 24 October 2025

    Energy Poverty, Health and Wellbeing with Apostolos Davillas, IZA - Institute of Labor Economics, Bonn https://dresa.org.au/events/energy-poverty-health-and-wellbeing-with-apostolos-davillas-iza-institute-of-labor-economics-bonn In recent years, the world has faced significant energy price shocks, which have fueled concerns about energy poverty and household debt. The impact on households' quality of life is significant, affecting physical and mental health. A robust body of evidence connects energy poverty to higher rates of mortality and increased risks of cardiovascular, inflammatory, and mental health conditions. This seminar provides a rigorous conceptual and measurement toolkit to define, construct, and validate energy poverty indicators from different data sources and to map plausible pathways to diverse health and well-being outcomes. With hands‑on Stata labs, the seminar also covers basic causal inference and health‑econometrics skills to produce credible estimates on the link between energy poverty and [highlight=rgba(var(--color_cnyXc1_default_rgb), 0.2)]people's health and well-being. [/highlight] 2025-10-23 19:00:00 UTC 2025-10-24 21:30:00 UTC Apostolos Davillas, IZA - Institute of Labor Economics, Bonn Instats info@instats.org [] [] [] open_to_all []

  • Energy Poverty, Health and Wellbeing with Apostolos Davillas, IZA - Institute of Labor Economics, Bonn

    23 - 24 October 2025

    Energy Poverty, Health and Wellbeing with Apostolos Davillas, IZA - Institute of Labor Economics, Bonn https://dresa.org.au/events/energy-poverty-health-and-wellbeing-with-apostolos-davillas-iza-institute-of-labor-economics-bonn-a6b2562e-485f-4cfb-a54c-8038e5666383 In recent years, the world has faced significant energy price shocks, which have fueled concerns about energy poverty and household debt. The impact on households' quality of life is significant, affecting physical and mental health. This seminar provides a rigorous conceptual and measurement toolkit to define, construct, and validate energy poverty indicators from different data sources and to map plausible pathways to diverse health and well-being outcomes. With hands‑on Stata labs, the seminar also covers basic causal inference and health‑econometrics skills to produce credible estimates on the link between energy poverty and [highlight=rgba(var(--color_cnyXc1_default_rgb), 0.2)]people's health and well-being. [/highlight] 2025-10-23 19:00:00 UTC 2025-10-24 22:00:00 UTC Apostolos Davillas, IZA - Institute of Labor Economics, Bonn Instats info@instats.org [] [] [] open_to_all []

  • Applied Longitudinal Data Analysis with Han Du, Department of Psychology, University of California, Los Angeles

    24 - 25 October 2025

    Applied Longitudinal Data Analysis with Han Du, Department of Psychology, University of California, Los Angeles https://dresa.org.au/events/applied-longitudinal-data-analysis-with-han-du-department-of-psychology-university-of-california-los-angeles-83315bdb-c19f-41e0-8733-ad6b052b8229 Longitudinal data facilitates exploring intra-individual change over time and differences across people in these changes. This workshop equips participants with essential skills to analyze data and report results of longitudinal research effectively, with all worked exercises completed using R and SPSS. The workshop will explore techniques including multilevel modeling, latent growth curve models, cross-lagged models, longitudinal mediation models, longitudinal dyadic models, and other models. 2025-10-24 03:00:00 UTC 2025-10-25 08:00:00 UTC Han Du, Department of Psychology, University of California, Los Angeles Instats info@instats.org [] [] [] open_to_all []

  • Applied Longitudinal Data Analysis with Han Du, Department of Psychology, University of California, Los Angeles

    23 - 24 October 2025

    Applied Longitudinal Data Analysis with Han Du, Department of Psychology, University of California, Los Angeles https://dresa.org.au/events/applied-longitudinal-data-analysis-with-han-du-department-of-psychology-university-of-california-los-angeles-99db31a1-d9b2-46dc-b694-19952266f4b4 Longitudinal data facilitates exploring intra-individual change over time and differences across people in these changes. This workshop equips participants with essential skills to analyze data and report results of longitudinal research effectively, with all worked exercises completed using R and SPSS. The workshop will explore techniques including multilevel modeling, latent growth curve models, cross-lagged models, longitudinal mediation models, longitudinal dyadic models, and other models. 2025-10-23 03:00:00 UTC 2025-10-24 08:00:00 UTC Han Du, Department of Psychology, University of California, Los Angeles Instats info@instats.org [] [] [] open_to_all []

  • Longitudinal Analysis in Biostatistics: Problems and Solutions with Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State University

    15 November 2025

    Longitudinal Analysis in Biostatistics: Problems and Solutions with Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State University https://dresa.org.au/events/longitudinal-analysis-in-biostatistics-problems-and-solutions-with-tuhin-sheikh-biostatistics-college-of-health-solutions-arizona-state-university-dab1be4a-f37a-4874-b5ee-c391a7225338 This seminar provides a comprehensive overview of the complexities and methodologies involved in longitudinal data analysis within biostatistics, focusing on modeling frameworks, strategies for handling missing data, and multilevel modeling. Participants will gain hands-on experience with advanced techniques in R, enhancing their ability to analyze and interpret longitudinal data effectively in their research endeavors. 2025-11-15 04:00:00 UTC 2025-11-15 08:30:00 UTC Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State University Instats info@instats.org [] [] [] open_to_all []

  • Longitudinal Analysis in Biostatistics: Problems and Solutions with Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State University

    15 November 2025

    Longitudinal Analysis in Biostatistics: Problems and Solutions with Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State University https://dresa.org.au/events/longitudinal-analysis-in-biostatistics-problems-and-solutions-with-tuhin-sheikh-biostatistics-college-of-health-solutions-arizona-state-university-15f7c27d-160e-41fd-9cb2-feda7baa4e44 This seminar provides a comprehensive overview of the complexities and methodologies involved in longitudinal data analysis within biostatistics, focusing on modeling frameworks, strategies for handling missing data, and multilevel modeling. Participants will gain hands-on experience with advanced techniques in R, enhancing their ability to analyze and interpret longitudinal data effectively in their research endeavors. 2025-11-15 04:00:00 UTC 2025-11-15 08:30:00 UTC Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State University Instats info@instats.org [] [] [] open_to_all []

  • Longitudinal Data Analysis and Growth Curve Models with Department of Epidemiology and Public Health, University College London

    11 - 13 February 2026

    Longitudinal Data Analysis and Growth Curve Models with Department of Epidemiology and Public Health, University College London https://dresa.org.au/events/longitudinal-data-analysis-and-growth-curve-models-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 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. 2026-02-11 20:00:00 UTC 2026-02-13 00:00:00 UTC Department of Epidemiology and Public Health, University College London Instats info@instats.org [] [] [] open_to_all []

  • Researching Crowdfunding with Douglas Cumming, College of Business, Florida Atlantic University

    29 October - 26 November 2025

    Researching Crowdfunding with Douglas Cumming, College of Business, Florida Atlantic University https://dresa.org.au/events/researching-crowdfunding-with-douglas-cumming-college-of-business-florida-atlantic-university This comprehensive seminar delves into the intricacies of crowdfunding, focusing on rewards, equity, and debt-based models, providing a deep understanding of their operations, challenges, and opportunities within the financial ecosystem. Led by an esteemed expert, participants will gain insights into agency problems, valuation techniques, governance models, and regulatory issues, enabling them to conduct impactful research in the crowdfunding domain. 2025-10-29 08:00:00 UTC 2025-11-26 11:00:00 UTC Douglas Cumming, College of Business, Florida Atlantic University Instats info@instats.org [] [] [] open_to_all []

  • Foundations of Data Analysis with R with Centre for Applied Statistics Courses (CASC), University College London

    29 - 30 October 2025

    Foundations of Data Analysis with R with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/foundations-of-data-analysis-with-r-with-centre-for-applied-statistics-courses-casc-university-college-london The "Introduction to R" workshop by the Centre for Applied Statistics Courses (CASC) at University College London provides researchers with essential skills for using R in statistical analysis, data management, and visualization. Geared towards PhD students, professors, and professional researchers, this seminar ensures participants gain a practical understanding of R essentials, equipping them to perform sophisticated analyses and enhance research outcomes. 2025-10-29 20:30:00 UTC 2025-10-30 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • R Programming: Expanding your R skills with loops, functions and more with Centre for Applied Statistics Courses (CASC), University College London

    26 - 27 November 2025

    R Programming: Expanding your R skills with loops, functions and more with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/r-programming-expanding-your-r-skills-with-loops-functions-and-more-with-centre-for-applied-statistics-courses-casc-university-college-london This workshop offered by the Centre for Applied Statistics Courses (CASC) at University College London is a comprehensive seminar designed to enhance your R programming skills, widely used in academic research and across various professional disciplines. This course introduces a number of topics in R for those already familiar with the basics of the programming language, including some of the more advanced R code structures such as conditional commands, loops and writing functions. 2025-11-26 20:30:00 UTC 2025-11-27 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

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

    18 - 20 December 2025

    ChatGPT for Machine Learning and AI with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/chatgpt-for-machine-learning-and-ai-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-2b5f2419-ab42-46ac-9fa0-b5b371c9d8d6 This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python and ChatGPT as a coding assistant. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in Python. 2025-12-18 22:00:00 UTC 2025-12-20 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 []

  • R Programming for Data Analysis with Centre for Applied Statistics Courses (CASC), University College London

    26 - 27 November 2025

    R Programming for Data Analysis with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/r-programming-for-data-analysis-with-centre-for-applied-statistics-courses-casc-university-college-london This workshop offered by the Centre for Applied Statistics Courses (CASC) at University College London is a comprehensive seminar designed to enhance your R programming skills, widely used in academic research and across various professional disciplines. This course introduces a number of topics in R for those already familiar with the basics of the programming language, including some of the more advanced R code structures such as conditional commands, loops and writing functions. 2025-11-26 20:30:00 UTC 2025-11-27 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

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

    11 - 13 December 2025

    ChatGPT for Machine Learning and AI with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/chatgpt-for-machine-learning-and-ai-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-66f46b01-0db5-42a9-bed0-5ea2e5153a7c This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python and ChatGPT as a coding assistant. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in Python. 2025-12-11 22:00:00 UTC 2025-12-13 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 []

  • Search Filters for Evidence Synthesis 2.0 with Carol Lefebvre, Lefebvre Associates Ltd

    5 December 2025

    Search Filters for Evidence Synthesis 2.0 with Carol Lefebvre, Lefebvre Associates Ltd https://dresa.org.au/events/search-filters-for-evidence-synthesis-2-0-with-carol-lefebvre-lefebvre-associates-ltd This workshop provides an overview of methodological and other search filters, in particular in the context of evidence synthesis. Participants will learn how to find, appraise and use these filters and gain an understanding of how and why filters are used by others. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-12-05 02:00:00 UTC 2025-12-05 03:00:00 UTC Carol Lefebvre, Lefebvre Associates Ltd Instats info@instats.org [] [] [] open_to_all []

  • Search Filters for Evidence Synthesis with Carol Lefebvre, Lefebvre Associates Ltd

    5 December 2025

    Search Filters for Evidence Synthesis with Carol Lefebvre, Lefebvre Associates Ltd https://dresa.org.au/events/search-filters-for-evidence-synthesis-with-carol-lefebvre-lefebvre-associates-ltd This workshop provides an overview of methodological and other search filters, in particular in the context of evidence synthesis. Participants will learn how to find, appraise and use these filters and gain an understanding of how and why filters are used by others. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-12-05 02:00:00 UTC 2025-12-05 03:00:00 UTC Carol Lefebvre, Lefebvre Associates Ltd Instats info@instats.org [] [] [] open_to_all []

  • Good Writing Habits for Academics (Free Seminar) with Lynn Nygaard, Peace Research Institute Oslo

    18 November 2025

    Good Writing Habits for Academics (Free Seminar) with Lynn Nygaard, Peace Research Institute Oslo https://dresa.org.au/events/good-writing-habits-for-academics-free-seminar-with-lynn-nygaard-peace-research-institute-oslo Developing good writing habits to get words on paper is challenging for all academic writers — from PhD candidates to senior researchers. This seminar helps you turn research insights into publishable work by replacing procrastination and perfectionism with effective evidence-informed habits and practical routines. Participants will leave with ideas for setting more realistic writing goals and developing healthier writing habits to make the most out of their time and make scholarly writing more sustainable and enjoyable. 2025-11-18 00:00:00 UTC 2025-11-18 01:30:00 UTC Lynn Nygaard, Peace Research Institute Oslo Instats info@instats.org [] [] [] open_to_all []

  • Multivariate Analysis of Biotic Communities with Oliver Miler, Northwest Indian Fisheries Commission

    13 November 2025

    Multivariate Analysis of Biotic Communities with Oliver Miler, Northwest Indian Fisheries Commission https://dresa.org.au/events/multivariate-analysis-of-biotic-communities-with-oliver-miler-northwest-indian-fisheries-commission-c077b7ee-05c8-43a3-8fc5-b0ac3e20d224 This workshop on multivariate analysis of biotic communities focuses on the application of advanced ecological data analysis techniques using R. Participants will gain experience in processing and analyzing data pertaining to biotic communities. 2025-11-13 05:00:00 UTC 2025-11-13 11:00:00 UTC Oliver Miler, Northwest Indian Fisheries Commission Instats info@instats.org [] [] [] open_to_all []

  • Management Theories for Researchers with Thomas Fischer, Institute of Management, University of Geneva

    5 - 10 December 2025

    Management Theories for Researchers with Thomas Fischer, Institute of Management, University of Geneva https://dresa.org.au/events/management-theories-for-researchers-with-thomas-fischer-institute-of-management-university-of-geneva This seminar on management theories for researchers addresses a fundamental question: how do management theories [i]really[/i] work? Through a critical examination of influential macro- and micro-level theories, you will deconstruct their research logic, causal explanations and/or construction of meaning, and underlying worldviews. Participants will leave with a sophisticated, meta-theoretical toolkit to evaluate and apply any management theory in their own research. 2025-12-05 19:00:00 UTC 2025-12-10 03:00:00 UTC Thomas Fischer, Institute of Management, University of Geneva Instats info@instats.org [] [] [] open_to_all []

  • Data Apps in Python with Streamlit with Ari Lamstein, American Statistical Association

    28 - 29 October 2025

    Data Apps in Python with Streamlit with Ari Lamstein, American Statistical Association https://dresa.org.au/events/data-apps-in-python-with-streamlit-with-ari-lamstein-american-statistical-association This hands-on workshop teaches you to build and deploy interactive data apps using Streamlit, a powerful Python framework that requires no front-end coding. You'll walk through the process of creating a working demo that visualizes trends in U.S. Census data, getting comfortable with tools like Pandas, GitHub, and LLMs. By the end, you'll have the skills to turn your own complex datasets into dynamic web apps for any audience. 2025-10-28 03:00:00 UTC 2025-10-29 06:00:00 UTC Ari Lamstein, American Statistical Association Instats info@instats.org [] [] [] open_to_all []

  • Identifying Unpublished Clinical Trial Data for Evidence Synthesis 2.0 with Julie Glanville, Glanville.info

    12 December 2025

    Identifying Unpublished Clinical Trial Data for Evidence Synthesis 2.0 with Julie Glanville, Glanville.info https://dresa.org.au/events/identifying-unpublished-clinical-trial-data-for-evidence-synthesis-2-0-with-julie-glanville-glanville-info This workshop provides an overview of identifying clinical trials and trial results for systematic reviews and other evidence syntheses. It covers sources such as trials / trials results registers, regulatory agency sources, and other novel resources. Participants will learn how to search the above sources and how to report their searches. An official Instats certificate of completion and 1 ECTS Equivalent point is provided at the conclusion of the seminar. 2025-12-12 02:00:00 UTC 2025-12-12 05:00:00 UTC Julie Glanville, Glanville.info Instats info@instats.org [] [] [] open_to_all []

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

    11 - 13 December 2025

    ChatGPT for Machine Learning and AI with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/chatgpt-for-machine-learning-and-ai-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-7207f33b-cd04-4e1d-b3fa-109a3eb56df1 This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python and ChatGPT as a coding assistant. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in Python. 2025-12-11 22:00:00 UTC 2025-12-13 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 []

  • AI-Enhanced Experiments with Charles Crabtree, Department of Government, Dartmouth College

    23 - 26 October 2025

    AI-Enhanced Experiments with Charles Crabtree, Department of Government, Dartmouth College https://dresa.org.au/events/ai-enhanced-experiments-with-charles-crabtree-department-of-government-dartmouth-college AI-Enhanced Experiments shows researchers how to use large language models alongside reproducible R workflows to design, generate, and validate multi-version stimuli and short chat-based interventions while explicitly addressing validity, ethics, and documentation. Participants leave with practical prompt templates, R scripts, and validation routines to produce scalable, preregistration-ready experimental treatments for political behavior, public policy, and related social science research. 2025-10-23 01:00:00 UTC 2025-10-26 02:30:00 UTC Charles Crabtree, Department of Government, Dartmouth College Instats info@instats.org [] [] [] open_to_all []

  • Text Analysis with ChatGPT with Loreta Isaraj, National Research Council (Consiglio Nazionale delle Ricerche), Rome

    29 - 30 October 2025

    Text Analysis with ChatGPT with Loreta Isaraj, National Research Council (Consiglio Nazionale delle Ricerche), Rome https://dresa.org.au/events/text-analysis-with-chatgpt-with-loreta-isaraj-national-research-council-consiglio-nazionale-delle-ricerche-rome This seminar offers an exploration into the transformative role of ChatGPT and other Large Language Models in data extraction from unstructured text, specifically designed for the social and health sciences. Participants will gain hands-on experience with advanced AI-driven methodologies, enabling the efficient parsing and structuring of complex data for academic and professional research endeavors. 2025-10-29 00:00:00 UTC 2025-10-30 03:00:00 UTC Loreta Isaraj, National Research Council (Consiglio Nazionale delle Ricerche), Rome Instats info@instats.org [] [] [] open_to_all []

  • Generative AI for Data Analysis with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    31 October 2025

    Generative AI for Data Analysis with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/generative-ai-for-data-analysis-with-kimberly-fessel-dr-kim-data-data-science-consultancy-58eb91f2-9a39-424b-aa48-ca60e08ad099 This workshop teaches practical, research-focused applications of generative AI—integrating ChatGPT with Jupyter/Python—to accelerate exploratory data analysis, data cleaning, visualization, and synthetic data generation for teaching purposes. Participants will produce reusable, well-documented notebooks and code templates. They will also learn prompt engineering, reproducible workflows, and privacy and ethical best practices so they can responsibly apply AI-assisted methods in their own research. 2025-10-31 01:00:00 UTC 2025-10-31 05:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Geospatial Data and Spatial Analysis with Charles Crabtree, Department of Government, Dartmouth College

    22 - 25 November 2025

    Geospatial Data and Spatial Analysis with Charles Crabtree, Department of Government, Dartmouth College https://dresa.org.au/events/geospatial-data-and-spatial-analysis-with-charles-crabtree-department-of-government-dartmouth-college This seminar, led by Charles Crabtree, provides a practical introduction to geospatial data and spatial analysis for social science, covering GIS fundamentals, coordinate systems, geoprocessing, cartographic visualization, geocoding, and spatial statistics (e.g., Moran’s I and hotspot detection). Through reproducible R workflows and hands-on examples, participants will learn to clean and analyze spatial datasets, incorporate spatial diagnostics into models, and produce publication-ready maps for scholarly and policy research. 2025-11-22 01:00:00 UTC 2025-11-25 02:30:00 UTC Charles Crabtree, Department of Government, Dartmouth College Instats info@instats.org [] [] [] open_to_all []

  • Foundations of Statistical Models and Linear Regression with Centre for Applied Statistics Courses (CASC), University College London

    26 - 29 January 2026

    Foundations of Statistical Models and Linear Regression with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/foundations-of-statistical-models-and-linear-regression-with-centre-for-applied-statistics-courses-casc-university-college-london This three-day workshop provides a comprehensive introduction to regression analysis, focusing on practical application using software such as Stata, R, and SPSS. Participants will gain essential skills for conducting robust regression analyses, interpreting results, and solving common data issues, all of which are crucial for advancing academic and professional research in various fields. 2026-01-26 20:30:00 UTC 2026-01-29 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • AI in Healthcare for Research and Practice with Arvind Rao, School of Public Health, University of Michigan

    12 - 14 November 2025

    AI in Healthcare for Research and Practice with Arvind Rao, School of Public Health, University of Michigan https://dresa.org.au/events/ai-in-healthcare-for-research-and-practice-with-arvind-rao-school-of-public-health-university-of-michigan-02cd0a58-9048-4048-9612-172fcd41188e This seminar provides a comprehensive exploration of AI's transformative impact on healthcare, focusing on enabling innovations and enhancing workflows, particularly in radiology and pathology. Participants will gain a deep understanding of AI applications, regulatory frameworks, research opportunities, and collaborative approaches, equipping them to drive impactful healthcare advancements and tackle real-world challenges and research problems effectively. 2025-11-12 03:00:00 UTC 2025-11-14 08:00:00 UTC Arvind Rao, School of Public Health, University of Michigan Instats info@instats.org [] [] [] open_to_all []

  • Foundations of Research Design and Data Science with Centre for Applied Statistics Courses (CASC), University College London

    15 October - 30 November 2025

    Foundations of Research Design and Data Science with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/foundations-of-research-design-and-data-science-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive online 10 day workshop that provides a comprehensive introduction to research methods and statistics, equipping participants with practical skills in statistical methodologies essential for high-quality research. Participants will explore a variety of topics, including data collection, hypothesis testing, and multivariate analysis, while enhancing their ability to apply statistical methods confidently in diverse research contexts. 2025-10-15 02:30:00 UTC 2025-11-30 07:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • StatKey - Free Online Statistics App (Free Seminar) with Patti Frazer Lock, Department of Mathematics, Computer Science and Statistics, St. Lawrence University

    23 October 2025

    StatKey - Free Online Statistics App (Free Seminar) with Patti Frazer Lock, Department of Mathematics, Computer Science and Statistics, St. Lawrence University https://dresa.org.au/events/statkey-free-online-statistics-app-free-seminar-with-patti-frazer-lock-department-of-mathematics-computer-science-and-statistics-st-lawrence-university StatKey is a free, web-based statistics app that requires no downloads or registration and supports general data exploration and simulation-based inference—enabling instructors and researchers to explore summary statistics and visualizations, sampling distributions, resampling methods (bootstrapping intervals and randomization tests), and visual inference with minimal technical barriers. In this hands-on workshop, professors Robin Lock and Patti Frazer Lock demonstrate core features and pedagogical strategies so participants can prototype reproducible classroom activities, analyze and share student-collected data using resampling methods, and integrate StatKey output into teaching and research materials. 2025-10-23 04:00:00 UTC 2025-10-23 05:00:00 UTC Patti Frazer Lock, Department of Mathematics, Computer Science and Statistics, St. Lawrence University Instats info@instats.org [] [] [] open_to_all []

  • Science Writing and Storytelling with Association for Psychological Science

    6 November 2025

    Science Writing and Storytelling with Association for Psychological Science https://dresa.org.au/events/science-writing-and-storytelling-with-association-for-psychological-science [highlight=rgb(255, 255, 255)]Join the editorial team from the [/highlight][i][highlight=rgb(255, 255, 255)]Observer[/highlight][/i][highlight=rgb(255, 255, 255)], the online news magazine from the Association for Psychological Science, for a workshop to strengthen your science writing and storytelling skills. Managing Editor Hannah Brown and Digital Content Manager Lou Willwood will share tips for engaging and accessible science communication and will take questions from attendees. Bring your questions and ideas, and they will help you brainstorm how to tell your own science story. [/highlight] 2025-11-06 03:00:00 UTC 2025-11-06 04:30:00 UTC Association for Psychological Science Instats info@instats.org [] [] [] open_to_all []

  • Researching Work with Adia Wingfield, Department of Sociology, Washington University in St. Louis

    4 - 8 November 2025

    Researching Work with Adia Wingfield, Department of Sociology, Washington University in St. Louis https://dresa.org.au/events/researching-work-with-adia-wingfield-department-of-sociology-washington-university-in-st-louis This intensive workshop explores powerful theoretical and methodological tools for studying work and its links to organizations, professions, labor markets, and inequality. Ideal for PhD students, academics, and professional researchers, participants will learn how to develop publishable research designs through exposure to qualitative, quantitative, and mixed methods (ethnography, interviews, surveys, administrative/digital trace data, and network analysis), ethical fieldwork strategies, and translating findings into articles and grant proposals. 2025-11-04 06:00:00 UTC 2025-11-08 08:00:00 UTC Adia Wingfield, Department of Sociology, Washington University in St. Louis Instats info@instats.org [] [] [] open_to_all []

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

    22 - 25 October 2025

    Introduction to Machine Learning with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/introduction-to-machine-learning-with-centre-for-applied-statistics-courses-casc-university-college-london This seminar trains PhD students, professors and other professionals to apply machine learning rigorously in several fields by grounding modern algorithms in statistical principles—covering supervised and unsupervised methods, model building, performance assessment, uncertainty quantification and ethical considerations. Through case studies and hands-on coding in R using reproducible workflows, participants will learn to design honest validation strategies, interpret and report models defensibly. 2025-10-22 19:30:00 UTC 2025-10-25 01:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Nonlinear Structural Equation Modeling with Holmes Finch, Department of Educational Psychology - Ball State University

    10 January 2026

    Nonlinear Structural Equation Modeling with Holmes Finch, Department of Educational Psychology - Ball State University https://dresa.org.au/events/nonlinear-structural-equation-modeling-with-holmes-finch-department-of-educational-psychology-ball-state-university This seminar provides researchers with the theoretical framework and hands-on implementation needed to specify, estimate, and interpret complex nonlinear relationships among latent variables in R and Mplus. The nonlinear effects include latent variable interactions, quadratic relationships among latent variables, nonlinear growth, and splines for latent variable models. Participants will learn the statistical frameworks underlying these models and will be provided with reproducible software scripts. The seminar concludes with advice on how to effectively present the results of nonlinear latent variable models. The focus throughout is on application and interpretation of the models. 2026-01-10 00:00:00 UTC 2026-01-10 08:00:00 UTC Holmes Finch, Department of Educational Psychology - Ball State University Instats info@instats.org [] [] [] open_to_all []

  • Social Network Analysis: from Basics to ERGM with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    6 - 8 November 2025

    Social Network Analysis: from Basics to ERGM with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/social-network-analysis-from-basics-to-ergm-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides an in-depth exploration of Social Network Analysis using R, guiding participants from foundational concepts to advanced ERGM techniques. Participants will gain practical skills in network visualization, metrics calculation, and applying complex analytical methods to real-world datasets, enhancing their research capabilities across diverse academic fields. 2025-11-06 21:00:00 UTC 2025-11-08 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 []

  • Social Network Analysis in R: from Basics to ERGM with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    6 - 8 November 2025

    Social Network Analysis in R: from Basics to ERGM with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/social-network-analysis-in-r-from-basics-to-ergm-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides an in-depth exploration of Social Network Analysis using R, guiding participants from foundational concepts to advanced ERGM techniques. Participants will gain practical skills in network visualization, metrics calculation, and applying complex analytical methods to real-world datasets, enhancing their research capabilities across diverse academic fields. 2025-11-06 21:00:00 UTC 2025-11-08 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 []

  • Social Network Analysis: From Basics to ERGM with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR)

    6 - 8 November 2025

    Social Network Analysis: From Basics to ERGM with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/social-network-analysis-from-basics-to-ergm-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-55eaab28-8bd6-4895-b8d8-3ad0aea98c64 This seminar provides an in-depth exploration of Social Network Analysis using R, guiding participants from foundational concepts to advanced ERGM techniques. Participants will gain practical skills in network visualization, metrics calculation, and applying complex analytical methods to real-world datasets, enhancing their research capabilities across diverse academic fields. 2025-11-06 21:00:00 UTC 2025-11-08 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 []

  • Analyzing Complex Survey Data with Brady West, Survey Research Center, Institute for Social Research, University of Michigan

    8 - 10 January 2026

    Analyzing Complex Survey Data with Brady West, Survey Research Center, Institute for Social Research, University of Michigan https://dresa.org.au/events/analyzing-complex-survey-data-with-brady-west-survey-research-center-institute-for-social-research-university-of-michigan This practical, hands-on seminar teaches researchers how to analyze complex sample survey data by correctly accounting for stratification, clustering, multi-stage sampling, and weighting to produce valid estimates, variances, tests, and inferences. Through guided exercises in R (RStudio), SAS, and Stata, participants learn survey-weighted estimation, Taylor-linearization and replicate-based variance methods, design- and model-based inference, multiple imputation that respects sample design features, and reproducible workflows directly applicable to dissertations, grants, and publications. 2026-01-08 03:00:00 UTC 2026-01-10 09:00:00 UTC Brady West, Survey Research Center, Institute for Social Research, University of Michigan Instats info@instats.org [] [] [] open_to_all []

  • The Critical Incident Technique (CIT) with Helen Spencer-Oatey, School of Education, Learning & Communication Sciences, University of Warwick, UK.

    22 - 24 October 2025

    The Critical Incident Technique (CIT) with Helen Spencer-Oatey, School of Education, Learning & Communication Sciences, University of Warwick, UK. https://dresa.org.au/events/the-critical-incident-technique-cit-with-helen-spencer-oatey-school-of-education-learning-communication-sciences-university-of-warwick-uk This three-day workshop offers an in-depth exploration of the Critical Incident Technique, an essential qualitative research methodology for uncovering significant events that influence outcomes or behaviors. Led by expert Helen Spencer-Oatey, participants will enhance their ability to apply this technique effectively in their research, gaining valuable insights into complex phenomena across various fields such as Psychology, Education, and Communication. 2025-10-22 19:00:00 UTC 2025-10-24 23:00:00 UTC Helen Spencer-Oatey, School of Education, Learning & Communication Sciences, University of Warwick, UK. Instats info@instats.org [] [] [] open_to_all []

  • Applied Longitudinal Data Analysis with Han Du, Department of Psychology, University of California, Los Angeles

    17 - 18 October 2025

    Applied Longitudinal Data Analysis with Han Du, Department of Psychology, University of California, Los Angeles https://dresa.org.au/events/applied-longitudinal-data-analysis-with-han-du-department-of-psychology-university-of-california-los-angeles-e55968df-b724-465a-a261-1fbdae035a8b Longitudinal data facilitates exploring intra-individual change over time and differences across people in these changes. This workshop equips participants with essential skills to analyze data and report results of longitudinal research effectively, with all worked exercises completed using R and SPSS. The workshop will explore techniques including multilevel modeling, latent growth curve models, cross-lagged models, longitudinal mediation models, longitudinal dyadic models, and other models. 2025-10-17 03:00:00 UTC 2025-10-18 08:00:00 UTC Han Du, Department of Psychology, University of California, Los Angeles Instats info@instats.org [] [] [] open_to_all []

  • Spatial Statistics in R with Nick Bearman, University College London and Geospatial Training Solutions

    3 December 2025

    Spatial Statistics in R with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/spatial-statistics-in-r-with-nick-bearman-university-college-london-and-geospatial-training-solutions This comprehensive seminar introduces participants to spatial statistics using R, guiding them through essential techniques for analyzing geographically referenced data. Led by Dr. Nick Bearman, attendees will gain practical experience with tools like GeoDa and learn how to interpret spatial patterns and relationships, enhancing their research methodologies. 2025-12-03 00:00:00 UTC 2025-12-03 03:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

  • Gaussian Processes with PyMC and LLMs with Chris Fonnesbeck, PyMC Labs and Vanderbilt University Medical Center

    14 - 15 November 2025

    Gaussian Processes with PyMC and LLMs with Chris Fonnesbeck, PyMC Labs and Vanderbilt University Medical Center https://dresa.org.au/events/gaussian-processes-with-pymc-and-llms-with-chris-fonnesbeck-pymc-labs-and-vanderbilt-university-medical-center Gaussian Processes are incredibly useful for modeling messy, real-world data where traditional regression methods typically fail. They do this by modeling unknown functions with calibrated estimates of uncertainty, excelling on small-to-medium sized datasets, with messy or seasonal trends, and patterns that can't be described with simple lines. In this 2‑day, hands‑on course you’ll learn when GPs are appropriate, how to fit them in Python with PyMC using LLMs for coding support, how to choose kernels and likelihoods (including robust options), and how to scale them to larger datasets. We’ll apply these skills to real problems like time series and multi‑output data, with practical diagnostics, model comparison, and production tips. 2025-11-14 03:00:00 UTC 2025-11-15 07:00:00 UTC Chris Fonnesbeck, PyMC Labs and Vanderbilt University Medical Center Instats info@instats.org [] [] [] open_to_all []

  • Advanced R for Spatial Analysis with Nick Bearman, University College London and Geospatial Training Solutions

    26 - 27 November 2025

    Advanced R for Spatial Analysis with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/advanced-r-for-spatial-analysis-with-nick-bearman-university-college-london-and-geospatial-training-solutions This seminar provides an in-depth exploration of advanced spatial analysis techniques using R, aimed at enhancing the ability to handle and interpret complex spatial data. Participants will gain practical skills in spatial joins, buffering, point-in-polygon operations, and more, equipping them to conduct sophisticated spatial research effectively. 2025-11-26 00:00:00 UTC 2025-11-27 03:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

  • Advanced QGIS with Nick Bearman, University College London and Geospatial Training Solutions

    29 - 30 October 2025

    Advanced QGIS with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/advanced-qgis-with-nick-bearman-university-college-london-and-geospatial-training-solutions This intensive seminar provides a deep dive into advanced spatial analysis techniques using QGIS, aimed at enhancing research capabilities in various academic fields. Participants will gain proficiency in complex GIS operations, such as spatial overlays and point-based access analysis, equipping them with the skills to leverage spatial data for insightful research outcomes. 2025-10-29 00:00:00 UTC 2025-10-30 03:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

  • Introduction to QGIS & Spatial Data with Nick Bearman, University College London and Geospatial Training Solutions

    21 - 23 October 2025

    Introduction to QGIS & Spatial Data with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/introduction-to-qgis-spatial-data-with-nick-bearman-university-college-london-and-geospatial-training-solutions This two half day workshop provides a comprehensive introduction to QGIS and spatial data analysis, equipping researchers with the essential skills to handle and visualize spatial data effectively. Participants will gain practical experience in data importation, map creation, and analysis techniques, empowering them to enhance their research insights with compelling spatial visualizations. 2025-10-21 23:00:00 UTC 2025-10-23 02:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

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

    12 - 13 November 2025

    Introduction to Spatial Data and R as a GIS with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/introduction-to-spatial-data-and-r-as-a-gis-with-nick-bearman-university-college-london-and-geospatial-training-solutions-7682c890-1abd-431b-bc40-1b4cb0803607 This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data. Participants will acquire essential skills to conduct sophisticated spatial analyses and produce complex maps, significantly enhancing their research projects. 2025-11-12 00:00:00 UTC 2025-11-13 03:00:00 UTC Nick Bearman, University College London and Geospatial Training Solutions Instats info@instats.org [] [] [] open_to_all []

  • Statistical Analysis with Stata with Centre for Applied Statistics Courses (CASC), University College London

    12 - 13 November 2025

    Statistical Analysis with Stata with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/statistical-analysis-with-stata-with-centre-for-applied-statistics-courses-casc-university-college-london This one-day seminar provides a comprehensive introduction to Stata, equipping participants with essential skills for data management and statistical analysis, tailored for academic researchers and PhD students. Participants will learn how to effectively enter, manipulate, and analyze data, alongside creating graphical representations and conducting basic statistical modeling in Stata, with an official Instats certificate of completion and ECTS Equivalent points available for European students. 2025-11-12 20:30:00 UTC 2025-11-13 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Analysis of Ecological Communities in R with Antoine Becker-Scarpitta, CIRAD (Agricultural Research Centre for International Development)

    8 - 14 December 2025

    Analysis of Ecological Communities in R with Antoine Becker-Scarpitta, CIRAD (Agricultural Research Centre for International Development) https://dresa.org.au/events/analysis-of-ecological-communities-in-r-with-antoine-becker-scarpitta-cirad-agricultural-research-centre-for-international-development This workshop provides a comprehensive introduction to advanced statistical methods for ecological community analysis using the R package VEGAN, aimed at enhancing research professionals' ability to handle complex ecological datasets. Participants will gain hands-on experience with multivariate analysis techniques, enabling them to effectively analyze and interpret ecological data through lectures, coding sessions, and participant-led exercises. 2025-12-08 19:00:00 UTC 2025-12-14 06:00:00 UTC Antoine Becker-Scarpitta, CIRAD (Agricultural Research Centre for International Development) Instats info@instats.org [] [] [] open_to_all []

  • Analysis of Ecological Communities in R with Antoine Becker-Scarpitta, CIRAD (Agricultural Research Centre for International Development)

    8 - 13 December 2025

    Analysis of Ecological Communities in R with Antoine Becker-Scarpitta, CIRAD (Agricultural Research Centre for International Development) https://dresa.org.au/events/analysis-of-ecological-communities-in-r-with-antoine-becker-scarpitta-cirad-agricultural-research-centre-for-international-development-47d18910-6a43-4d08-ba9e-f09ca9ff6d14 This workshop provides a comprehensive introduction to advanced statistical methods for ecological community analysis using the R package VEGAN, aimed at enhancing research professionals' ability to handle complex ecological datasets. Participants will gain hands-on experience with multivariate analysis techniques, enabling them to effectively analyze and interpret ecological data through lectures, coding sessions, and participant-led exercises. 2025-12-08 19:00:00 UTC 2025-12-13 06:00:00 UTC Antoine Becker-Scarpitta, CIRAD (Agricultural Research Centre for International Development) Instats info@instats.org [] [] [] open_to_all []

  • Spatial Data Analysis and Visualization in R with Martijn Tennekes, Statistics Netherlands

    11 - 15 November 2025

    Spatial Data Analysis and Visualization in R with Martijn Tennekes, Statistics Netherlands https://dresa.org.au/events/spatial-data-analysis-and-visualization-in-r-with-martijn-tennekes-statistics-netherlands-f9fbd734-d392-484e-952b-3e5fa3c66ec5 This comprehensive four-day workshop introduces PhD students, professors, and researchers to the tmap package in R for spatial data visualization, focusing on creating high-quality static and interactive maps suited for academic dissemination. Participants will gain hands-on experience with essential R packages and advanced spatial visualization techniques, empowering them to effectively communicate complex spatial phenomena and enhance their research insights. 2025-11-11 01:00:00 UTC 2025-11-15 06:00:00 UTC Martijn Tennekes, Statistics Netherlands Instats info@instats.org [] [] [] open_to_all []

  • Spatial Data Analysis and Visualization in R with Martijn Tennekes, Statistics Netherlands

    11 - 15 November 2025

    Spatial Data Analysis and Visualization in R with Martijn Tennekes, Statistics Netherlands https://dresa.org.au/events/spatial-data-analysis-and-visualization-in-r-with-martijn-tennekes-statistics-netherlands-e5fb5b76-2b89-4595-ad3b-3012c7afe7e9 This comprehensive four-day workshop introduces PhD students, professors, and researchers to the tmap package in R for spatial data visualization, focusing on creating high-quality static and interactive maps suited for academic dissemination. Participants will gain hands-on experience with essential R packages and advanced spatial visualization techniques, empowering them to effectively communicate complex spatial phenomena and enhance their research insights. 2025-11-11 02:00:00 UTC 2025-11-15 07:00:00 UTC Martijn Tennekes, Statistics Netherlands Instats info@instats.org [] [] [] open_to_all []

  • Bayesian Multilevel Modelling for Ecologists with Niamh Mimnagh, PR Stats

    21 October - 1 November 2025

    Bayesian Multilevel Modelling for Ecologists with Niamh Mimnagh, PR Stats https://dresa.org.au/events/bayesian-multilevel-modelling-for-ecologists-with-niamh-mimnagh-pr-stats A hands-on workshop teaching Bayesian multilevel and multivariate modelling for ecological (and allied health and social science) data using brms with Stan, covering priors, MCMC diagnostics, GLMs, random effects, temporal and spatial dependence, and joint species distribution models. Participants leave with reproducible, publication-ready workflows for model building, criticism, visualization, and reporting—able to specify and defend priors, diagnose and fix convergence or fit issues, and translate posterior inference into management, policy, or research outputs. 2025-10-21 00:00:00 UTC 2025-11-01 05:00:00 UTC Niamh Mimnagh, PR Stats Instats info@instats.org [] [] [] open_to_all []

  • Generalised Linear Mixed Models for Ecologists with Niamh Mimnagh, PR Stats

    8 - 13 December 2025

    Generalised Linear Mixed Models for Ecologists with Niamh Mimnagh, PR Stats https://dresa.org.au/events/generalised-linear-mixed-models-for-ecologists-with-niamh-mimnagh-pr-stats This seminar equips ecologists with the theory and practical skills to specify, fit, diagnose, and interpret linear and generalized linear mixed models for hierarchical ecological data in R, covering frequentist tools (lme4, glmmTMB) and Bayesian multilevel modelling (brms). Using hands‑on coding and ecological case studies, you'll learn to implement random intercepts and slopes, handle overdispersion and zero‑inflation, compute variance components and ICCs, perform model and posterior predictive checks, and produce reproducible, publication‑ready analyses. 2025-12-08 21:00:00 UTC 2025-12-13 05:00:00 UTC Niamh Mimnagh, PR Stats Instats info@instats.org [] [] [] open_to_all []

  • Multivariate Analysis of Biotic Communities with Oliver Miler, Northwest Indian Fisheries Commission

    16 October 2025

    Multivariate Analysis of Biotic Communities with Oliver Miler, Northwest Indian Fisheries Commission https://dresa.org.au/events/multivariate-analysis-of-biotic-communities-with-oliver-miler-northwest-indian-fisheries-commission This workshop on multivariate analysis of biotic communities focuses on the application of advanced ecological data analysis techniques using R. Participants will gain experience in processing and analyzing data pertaining to biotic communities. 2025-10-16 04:00:00 UTC 2025-10-16 10:00:00 UTC Oliver Miler, Northwest Indian Fisheries Commission Instats info@instats.org [] [] [] open_to_all []

  • ChatGPT for Analyzing Unstructured Text with Loreta Isaraj, National Research Council (Consiglio Nazionale delle Ricerche), Rome

    29 - 30 October 2025

    ChatGPT for Analyzing Unstructured Text with Loreta Isaraj, National Research Council (Consiglio Nazionale delle Ricerche), Rome https://dresa.org.au/events/chatgpt-for-analyzing-unstructured-text-with-loreta-isaraj-national-research-council-consiglio-nazionale-delle-ricerche-rome This seminar offers an exploration into the transformative role of ChatGPT and other Large Language Models in data extraction from unstructured text, specifically designed for the social and health sciences. Participants will gain hands-on experience with advanced AI-driven methodologies, enabling the efficient parsing and structuring of complex data for academic and professional research endeavors. 2025-10-29 00:00:00 UTC 2025-10-30 03:00:00 UTC Loreta Isaraj, National Research Council (Consiglio Nazionale delle Ricerche), Rome Instats info@instats.org [] [] [] open_to_all []

  • AI-Powered Business Analytics for Researchers with Martin Qiu, Lazaridis School of Business and Economics, Wilfrid Laurier University

    15 - 16 May 2026

    AI-Powered Business Analytics for Researchers with Martin Qiu, Lazaridis School of Business and Economics, Wilfrid Laurier University https://dresa.org.au/events/ai-powered-business-analytics-for-researchers-with-martin-qiu-lazaridis-school-of-business-and-economics-wilfrid-laurier-university-6083dffa-b307-48ca-ab90-e05738c942e3 This four-session workshop bridges the gap between established research methods and modern business-analytics techniques. It prepares you for a non-academic "Plan B" career path that is both intellectually stimulating and professionally rewarding. You'll learn how familiar stats tools like regression, experimental design, and hypothesis testing map onto supervised and unsupervised machine learning, data mining, and predictive analytics workflows. The workshop focuses on practical implementation using [b]R (or Python)[/b] and [b]Tableau[/b], with AI-supported coding to streamline routine tasks and provide a foundation for your expanding skill development. This will prepare you for diverse opportunities in both academia and industry. 2026-05-15 19:00:00 UTC 2026-05-16 01:00:00 UTC Martin Qiu, Lazaridis School of Business and Economics, Wilfrid Laurier University Instats info@instats.org [] [] [] open_to_all []

  • From Data to Decisions: An Introduction to Machine Learning with Centre for Applied Statistics Courses (CASC), University College London

    22 October - 25 December 2025

    From Data to Decisions: An Introduction to Machine Learning with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/from-data-to-decisions-an-introduction-to-machine-learning-with-centre-for-applied-statistics-courses-casc-university-college-london This seminar trains PhD students, professors and other professionals to apply machine learning rigorously in several fields by grounding modern algorithms in statistical principles—covering supervised and unsupervised methods, model building, performance assessment, uncertainty quantification and ethical considerations. Through case studies and hands-on coding in R using reproducible workflows, participants will learn to design honest validation strategies, interpret and report models defensibly. 2025-10-22 19:30:00 UTC 2025-12-25 02:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • From Data to Decisions: An Introduction to Machine Learning with Centre for Applied Statistics Courses (CASC), University College London

    22 - 25 October 2025

    From Data to Decisions: An Introduction to Machine Learning with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/from-data-to-decisions-an-introduction-to-machine-learning-with-centre-for-applied-statistics-courses-casc-university-college-london-c7ebab02-a6e6-405e-bdc7-8b87b608c539 This seminar trains PhD students, professors and other professionals to apply machine learning rigorously in several fields by grounding modern algorithms in statistical principles—covering supervised and unsupervised methods, model building, performance assessment, uncertainty quantification and ethical considerations. Through case studies and hands-on coding in R using reproducible workflows, participants will learn to design honest validation strategies, interpret and report models defensibly. 2025-10-22 19:30:00 UTC 2025-10-25 01:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • Causal Inference with AI and Machine Learning with Jason Anastasopoulos, School of Public and International Affairs, University of Georgia

    12 - 13 December 2025

    Causal Inference with AI and Machine Learning with Jason Anastasopoulos, School of Public and International Affairs, University of Georgia https://dresa.org.au/events/causal-inference-with-ai-and-machine-learning-with-jason-anastasopoulos-school-of-public-and-international-affairs-university-of-georgia This seminar is designed for researchers, practitioners, and policymakers who want to move beyond prediction to understand cause-and-effect relationships. It introduces the foundations of causal inference—randomized trials, natural experiments, and causal-effect estimation—and shows how modern machine learning and AI methods enhance these tools for complex data. Participants will learn basic causal inference techniques and more advanced methods such as double machine learning, causal forests, and synthetic control approaches, while also engaging with applications to real-world problems. By the end, participants will be familiar with modern tools of causal inference and how to leverage LLMs to ensure robust and unbiased identification. 2025-12-12 03:30:00 UTC 2025-12-13 09:30:00 UTC Jason Anastasopoulos, School of Public and International Affairs, University of Georgia Instats info@instats.org [] [] [] open_to_all []

  • ASSON 2025 National Statistics Students Conference with American Statistical Association

    15 - 16 October 2025

    ASSON 2025 National Statistics Students Conference with American Statistical Association https://dresa.org.au/events/asson-2025-national-statistics-students-conference-with-american-statistical-association The Association of Statistics Students of Nigeria (ASSON) National Statistics Students Conference is a free, two-day virtual event in collaboration with the American Statistical Association (ASA) brings together undergraduate statistics students from across Nigeria and beyond to explore the powerful role of statisticians in today’s digital world. 2025-10-15 23:00:00 UTC 2025-10-16 04:00:00 UTC American Statistical Association Instats info@instats.org [] [] [] open_to_all []

  • Foundations of Valid Measurement with Dev Dalal, Department of Psychology, University at Albany, State University of New York

    3 December 2025

    Foundations of Valid Measurement with Dev Dalal, Department of Psychology, University at Albany, State University of New York https://dresa.org.au/events/foundations-of-valid-measurement-with-dev-dalal-department-of-psychology-university-at-albany-state-university-of-new-york This seminar focuses on developing and evaluating measurement instruments through the lens of construct theory. Participants will learn how to ground their research in clear, defensible construct definitions and align a measure's content accordingly. The course highlights how to use a construct’s nomological network to refine definitions and plan effective validation studies. Through a mix of conceptual lectures and guided demonstrations, you will gain the skills to write precise definitions, design items, and plan psychometric analyses that provide rigorous evidence for the construct validity of your measurements. 2025-12-03 03:00:46 UTC 2025-12-03 09:00:46 UTC Dev Dalal, Department of Psychology, University at Albany, State University of New York Instats info@instats.org [] [] [] open_to_all []

  • ASSON 2025 National Statistics Student Conference with American Statistical Association

    15 - 16 October 2025

    ASSON 2025 National Statistics Student Conference with American Statistical Association https://dresa.org.au/events/asson-2025-national-statistics-student-conference-with-american-statistical-association The Association of Statistics Students of Nigeria (ASSON) National Statistics Students Conference is a free, two-day virtual event in collaboration with the American Statistical Association (ASA) brings together undergraduate statistics students from across Nigeria and beyond to explore the powerful role of statisticians in today’s digital world. 2025-10-15 23:00:00 UTC 2025-10-16 04:00:00 UTC American Statistical Association Instats info@instats.org [] [] [] open_to_all []

  • Analysis of DNA Methylation 2025 with Aline Muyle, Institute of Evolutionary Science of Montpellier (ISEM)

    27 - 30 October 2025

    Analysis of DNA Methylation 2025 with Aline Muyle, Institute of Evolutionary Science of Montpellier (ISEM) https://dresa.org.au/events/analysis-of-dna-methylation-2025-with-aline-muyle-institute-of-evolutionary-science-of-montpellier-isem This three-day workshop provides comprehensive training in the analysis of DNA methylation, a key epigenetic modification influencing gene expression and controlling the spread of transposable elements in genomes. Led by Dr Aline Muyle, participants will gain theoretical knowledge and practical skills in data preprocessing, statistical analysis, and visualization using RStudio and various bioinformatic software using Bash scripts. The workshop is suited for researchers in Biostatistics, Biology, Genetics, Ecology, Evolution, Bioinformatics, Molecular Biology, and Medical Research. 2025-10-27 23:00:00 UTC 2025-10-30 04:00:00 UTC Aline Muyle, Institute of Evolutionary Science of Montpellier (ISEM) Instats info@instats.org [] [] [] open_to_all []

  • Generative AI for Data Analysis with Kimberly Fessel, Dr Kim Data | Data Science Consultancy

    31 October 2025

    Generative AI for Data Analysis with Kimberly Fessel, Dr Kim Data | Data Science Consultancy https://dresa.org.au/events/generative-ai-for-data-analysis-with-kimberly-fessel-dr-kim-data-data-science-consultancy This workshop teaches practical, research-focused applications of generative AI—integrating ChatGPT with Jupyter/Python—to accelerate exploratory data analysis, data cleaning, visualization, and synthetic data generation for teaching purposes. Participants will produce reusable, well-documented notebooks and code templates. They will also learn prompt engineering, reproducible workflows, and privacy and ethical best practices so they can responsibly apply AI-assisted methods in their own research. 2025-10-31 01:00:00 UTC 2025-10-31 05:00:00 UTC Kimberly Fessel, Dr Kim Data | Data Science Consultancy Instats info@instats.org [] [] [] open_to_all []

  • Using ChatGPT with Stata: Panel Data Analysis with Tor Georg Jakobsen, Norwegian University of Science and Technology

    11 - 12 November 2025

    Using ChatGPT with Stata: Panel Data Analysis with Tor Georg Jakobsen, Norwegian University of Science and Technology https://dresa.org.au/events/using-chatgpt-with-stata-panel-data-analysis-with-tor-georg-jakobsen-norwegian-university-of-science-and-technology Learn how to unlock the power of [b]panel data[/b]—datasets that track individuals, firms, or countries over time i. This hands-on two-day workshop guides you through [b]fixed effects, random effects, dynamic panels, and time-series cross-section methods[/b], all with AI-assisted support from ChatGPT. Apply real Stata commands, explore model selection, and interpret results with confidence. Perfect for researchers, graduate students, and analysts ready to advance their skills in longitudinal and panel data analysis. 2025-11-11 19:00:00 UTC 2025-11-12 23:00:00 UTC Tor Georg Jakobsen, Norwegian University of Science and Technology Instats info@instats.org [] [] [] open_to_all []

  • Using Experiments in Applied Economics with Sebastian Galiani, Department of Economics, University of Maryland

    20 - 28 March 2026

    Using Experiments in Applied Economics with Sebastian Galiani, Department of Economics, University of Maryland https://dresa.org.au/events/using-experiments-in-applied-economics-with-sebastian-galiani-department-of-economics-university-of-maryland This four-day workshop provides an in-depth exploration of experimental methods in applied economics, focusing on the identification and interpretation of causal effects to enhance empirical research outcomes. Participants will gain skills in designing rigorous experiments and applying economic theory, preparing them to conduct impactful and ethically sound research in academic and policy contexts. 2026-03-20 00:00:00 UTC 2026-03-28 03:30:00 UTC Sebastian Galiani, Department of Economics, University of Maryland Instats info@instats.org [] [] [] open_to_all []

  • ChatGPT with Stata: Panel Data Analysis with Tor Georg Jakobsen, Norwegian University of Science and Technology

    11 - 12 November 2025

    ChatGPT with Stata: Panel Data Analysis with Tor Georg Jakobsen, Norwegian University of Science and Technology https://dresa.org.au/events/chatgpt-with-stata-panel-data-analysis-with-tor-georg-jakobsen-norwegian-university-of-science-and-technology Learn how to unlock the power of [b]panel data[/b]—datasets that track individuals, firms, or countries over time i. This hands-on two-day workshop guides you through [b]fixed effects, random effects, dynamic panels, and time-series cross-section methods[/b], all with AI-assisted support from ChatGPT. Apply real Stata commands, explore model selection, and interpret results with confidence. Perfect for researchers, graduate students, and analysts ready to advance their skills in longitudinal and panel data analysis. 2025-11-11 19:00:00 UTC 2025-11-12 23:00:00 UTC Tor Georg Jakobsen, Norwegian University of Science and Technology Instats info@instats.org [] [] [] open_to_all []

  • Audit Experiments for Research and Practice with Charles Crabtree, Department of Government, Dartmouth College

    7 - 8 December 2025

    Audit Experiments for Research and Practice with Charles Crabtree, Department of Government, Dartmouth College https://dresa.org.au/events/audit-experiments-for-research-and-practice-with-charles-crabtree-department-of-government-dartmouth-college This seminar trains researchers to design, preregister, and execute rigorous audit experiments that measure discrimination in real-world settings, integrating experimental logic with ethical best practices and strategies for publishing policy-relevant results. Participants gain hands-on skills in operationalization, name selection and validation, power analysis, IRB-ready protocols, outcome instrumentation, and end-to-end R workflows for randomization, logging, analysis, and reproducible replication packages. 2025-12-07 10:00:00 UTC 2025-12-08 11:30:00 UTC Charles Crabtree, Department of Government, Dartmouth College Instats info@instats.org [] [] [] open_to_all []

  • LLMs for Literature Reviews and Theory Mapping with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University

    18 - 20 November 2025

    LLMs for Literature Reviews and Theory Mapping with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University https://dresa.org.au/events/llms-for-literature-reviews-and-theory-mapping-with-moses-boudourides-data-science-graduate-program-school-of-professional-studies-northwestern-university Designed for PhD students, academics, and researchers, this workshop teaches how to integrate large language models with knowledge graphs (KG) to automate systematic literature reviews, extract and link entities and relations, and map theoretical constructs into reproducible, explainable, and visually interpretable representations. Using hands-on Python Jupyter notebooks, participants will build end-to-end pipelines for harvesting, screening, KG construction, semantic search and visualization, while learning evaluation, provenance, human-in-the-loop strategies and ethical practices to reduce hallucination and produce research-ready outputs. 2025-11-18 04:00:00 UTC 2025-11-20 06:00:00 UTC Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University Instats info@instats.org [] [] [] open_to_all []

  • Mastering Gaussian Processes with PyMC with Chris Fonnesbeck, PyMC Labs and Vanderbilt University Medical Center

    14 - 15 November 2025

    Mastering Gaussian Processes with PyMC with Chris Fonnesbeck, PyMC Labs and Vanderbilt University Medical Center https://dresa.org.au/events/mastering-gaussian-processes-with-pymc-with-chris-fonnesbeck-pymc-labs-and-vanderbilt-university-medical-center Gaussian Processes (GP) model unknown functions with calibrated estimates of uncertainty. They excel on small-to-medium sized datasets, messy or seasonal trends, and patterns that can't be described with simple lines. In this 2‑day, hands‑on course you’ll learn when GPs are appropriate, how to fit them in Python with PyMC, how to choose kernels and likelihoods (including robust options), and how to scale them to larger datasets. We’ll apply these skills to real problems like time series and multi‑output data, with practical diagnostics, model comparison, and production tips. 2025-11-14 03:00:00 UTC 2025-11-15 07:00:00 UTC Chris Fonnesbeck, PyMC Labs and Vanderbilt University Medical Center Instats info@instats.org [] [] [] open_to_all []

  • Analysis of DNA Methylation 2.0 with Aline Muyle, Institute of Evolutionary Science of Montpellier (ISEM)

    27 - 30 October 2025

    Analysis of DNA Methylation 2.0 with Aline Muyle, Institute of Evolutionary Science of Montpellier (ISEM) https://dresa.org.au/events/analysis-of-dna-methylation-2-0-with-aline-muyle-institute-of-evolutionary-science-of-montpellier-isem This three-day workshop provides comprehensive training in the analysis of DNA methylation, a key epigenetic modification influencing gene expression and controlling the spread of transposable elements in genomes. Led by Dr Aline Muyle, participants will gain theoretical knowledge and practical skills in data preprocessing, statistical analysis, and visualization using RStudio and various bioinformatic software using Bash scripts. The workshop is suited for researchers in Biostatistics, Biology, Genetics, Ecology, Evolution, Bioinformatics, Molecular Biology, and Medical Research. 2025-10-27 23:00:00 UTC 2025-10-30 04:00:00 UTC Aline Muyle, Institute of Evolutionary Science of Montpellier (ISEM) Instats info@instats.org [] [] [] open_to_all []

  • AI in Healthcare for Research and Practice with Arvind Rao, School of Public Health, University of Michigan

    14 - 17 October 2025

    AI in Healthcare for Research and Practice with Arvind Rao, School of Public Health, University of Michigan https://dresa.org.au/events/ai-in-healthcare-for-research-and-practice-with-arvind-rao-school-of-public-health-university-of-michigan This seminar provides a comprehensive exploration of AI's transformative impact on healthcare, focusing on enabling innovations and enhancing workflows, particularly in radiology and pathology. Participants will gain a deep understanding of AI applications, regulatory frameworks, and collaborative approaches, equipping them to drive impactful healthcare advancements and tackle real-world challenges effectively. 2025-10-14 21:00:57 UTC 2025-10-17 03:00:57 UTC Arvind Rao, School of Public Health, University of Michigan Instats info@instats.org [] [] [] open_to_all []

  • Audit Experiments for Research and Practice with Charles Crabtree, Department of Government, Dartmouth College

    4 - 5 December 2025

    Audit Experiments for Research and Practice with Charles Crabtree, Department of Government, Dartmouth College https://dresa.org.au/events/audit-experiments-for-research-and-practice-with-charles-crabtree-department-of-government-dartmouth-college-feba65a8-3fd0-4978-a509-72e129533d49 This seminar trains researchers to design, preregister, and execute rigorous audit experiments that measure discrimination in real-world settings, integrating experimental logic with ethical best practices and strategies for publishing policy-relevant results. Participants gain hands-on skills in operationalization, name selection and validation, power analysis, IRB-ready protocols, outcome instrumentation, and end-to-end R workflows for randomization, logging, analysis, and reproducible replication packages. 2025-12-04 01:00:00 UTC 2025-12-05 03:00:00 UTC Charles Crabtree, Department of Government, Dartmouth College Instats info@instats.org [] [] [] open_to_all []

  • Applied Research Methods for Social Scientists with James F. Downes, Center for Research and Social Progress, Chinese University of Hong Kong

    15 - 19 December 2025

    Applied Research Methods for Social Scientists with James F. Downes, Center for Research and Social Progress, Chinese University of Hong Kong https://dresa.org.au/events/applied-research-methods-for-social-scientists-with-james-f-downes-center-for-research-and-social-progress-chinese-university-of-hong-kong This interactive, practical course bridges theory with contemporary social-science research and policy. The course is geared towards graduate students, academics, and policy researchers by covering key Qualitative and Quantitative Methods in Social Science and Policy Analysis. Participants will learn how to design and conduct Social Science research, interpret findings in real-world contexts, and explore examples from Comparative Politics, European Politics, Chinese Politics (China’s Belt & Road Initiative), and important policy issues such as Populism, Immigration, Climate Change, and EU Governance. 2025-12-15 20:00:00 UTC 2025-12-19 22:00:00 UTC James F. Downes, Center for Research and Social Progress, Chinese University of Hong Kong Instats info@instats.org [] [] [] open_to_all []

  • AI for Systematic Reviews & Meta-Analysis with Piers Steel, Haskayne School of Business, University of Calgary

    18 October 2025

    AI for Systematic Reviews & Meta-Analysis with Piers Steel, Haskayne School of Business, University of Calgary https://dresa.org.au/events/ai-for-systematic-reviews-meta-analysis-with-piers-steel-haskayne-school-of-business-university-of-calgary This hands-on seminar shows how to combine principled systematic-review methodology with modern AI (LLMs, PDF parsing, API-driven metadata) to scale defensible, auditable, and reproducible meta-analyses using the 4P Framework (Pull · Pick · Prep · Push). You will learn practical skills including high-recall search construction, automated ingestion and AI-assisted deduplication/screening, automated effect-size extraction and computation, advanced meta-analytic modeling and diagnostics, and packaging submission-ready reproducible outputs and living-review pipelines. 2025-10-18 02:30:00 UTC 2025-10-18 08:00:00 UTC Piers Steel, Haskayne School of Business, University of Calgary Instats info@instats.org [] [] [] open_to_all []

  • Science Writing and Storytelling with Association for Psychological Science

    6 November 2025

    Science Writing and Storytelling with Association for Psychological Science https://dresa.org.au/events/science-writing-and-storytelling-with-association-for-psychological-science-3cbfef43-6de3-4cc6-bae5-7701d93c5e5d [highlight=rgb(255, 255, 255)]Join the editorial team from the [/highlight][i][highlight=rgb(255, 255, 255)]Observer[/highlight][/i][highlight=rgb(255, 255, 255)], the online news magazine from the Association for Psychological Science, for a workshop to strengthen your science writing and storytelling skills. Managing Editor Hannah Brown and Digital Content Manager Lou Willwood will share tips for engaging and accessible science communication and will take questions from attendees. Bring your questions and ideas, and they will help you brainstorm how to tell your own science story. [/highlight] 2025-11-06 03:00:00 UTC 2025-11-06 04:30:00 UTC Association for Psychological Science Instats info@instats.org [] [] [] open_to_all []

  • Meta-Analysis for Beginners with Centre for Applied Statistics Courses (CASC), University College London

    4 - 6 December 2025

    Meta-Analysis for Beginners with Centre for Applied Statistics Courses (CASC), University College London https://dresa.org.au/events/meta-analysis-for-beginners-with-centre-for-applied-statistics-courses-casc-university-college-london This introduction to meta-analysis by University College London (UCL) provides an overview of meta-analysis from a statistical point of view, with an optional half day workshop in R and Stata. The seminar covers a wide range of topics, including interpreting results and writing a report, making it ideal for PhD students, professors, and professional researchers across various fields. 2025-12-04 00:30:00 UTC 2025-12-06 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

  • AI for Quantitative & Qualitative Research with Hadi Fariborzi, Bissett School of Business, Mount Royal University, Calgary

    15 October 2025

    AI for Quantitative & Qualitative Research with Hadi Fariborzi, Bissett School of Business, Mount Royal University, Calgary https://dresa.org.au/events/ai-for-quantitative-qualitative-research-with-hadi-fariborzi-bissett-school-of-business-mount-royal-university-calgary This immersive seminar led by Dr Hadi Fariborzi covers the use of AI as a coding and interpretation partner in both Python and R, integrating classical statistics, advanced modeling (multilevel, SEM), and qualitative/text analysis with a strong focus on methodological rigor and reproducible workflows. Through hands-on, research-focused examples participants will import and clean data, run and interpret models, develop AI-assisted codebooks and large-scale text-mining pipelines, and produce shareable Colab/Posit notebooks, exportable reports, and an AI prompt library for debugging and auditing outputs. 2025-10-15 03:00:00 UTC 2025-10-15 08:00:00 UTC Hadi Fariborzi, Bissett School of Business, Mount Royal University, Calgary Instats info@instats.org [] [] [] open_to_all []

  • AI for Data Visualization and Dashboards with Hadi Fariborzi, Bissett School of Business, Mount Royal University, Calgary

    13 November 2025

    AI for Data Visualization and Dashboards with Hadi Fariborzi, Bissett School of Business, Mount Royal University, Calgary https://dresa.org.au/events/ai-for-data-visualization-and-dashboards-with-hadi-fariborzi-bissett-school-of-business-mount-royal-university-calgary This seminar trains researchers to transform raw data into AI-assisted, publication-ready, reproducible dashboards by blending rigorous visualization principles with practical AI workflows across ChatGPT, Power BI, Tableau, Python, and R. Participants practice prompt engineering and scripting to automate data cleaning, generate robust quantitative, temporal, spatial, and text-based visuals, and leave with code snippets, a prompt library, templates, and best-practice checks to document, port, and defend dashboards for publication and stakeholder communication. 2025-11-13 04:00:00 UTC 2025-11-13 09:00:00 UTC Hadi Fariborzi, Bissett School of Business, Mount Royal University, Calgary Instats info@instats.org [] [] [] open_to_all []

  • Multivariate Analysis of Biotic Communities with Oliver Miler, Northwest Indian Fisheries Commission

    14 November 2025

    Multivariate Analysis of Biotic Communities with Oliver Miler, Northwest Indian Fisheries Commission https://dresa.org.au/events/multivariate-analysis-of-biotic-communities-with-oliver-miler-northwest-indian-fisheries-commission-5a09abe8-6751-4d69-af45-9869e1be3703 This workshop on multivariate analysis of biotic communities focuses on the application of advanced ecological data analysis techniques using R. Participants will gain experience in processing and analyzing data pertaining to biotic communities. 2025-11-14 05:00:00 UTC 2025-11-14 11:00:00 UTC Oliver Miler, Northwest Indian Fisheries Commission Instats info@instats.org [] [] [] open_to_all []

  • Finding Unpublished Clinical Trial Data with Julie Glanville, Glanville.info

    12 December 2025

    Finding Unpublished Clinical Trial Data with Julie Glanville, Glanville.info https://dresa.org.au/events/finding-unpublished-clinical-trial-data-with-julie-glanville-glanville-info This workshop provides an overview of identifying clinical trials and trial results for systematic reviews and other evidence syntheses. It covers sources such as trials / trials results registers, regulatory agency sources, and other novel resources. Participants will learn how to search the above sources and how to report their searches. 2025-12-12 02:00:00 UTC 2025-12-12 05:00:00 UTC Julie Glanville, Glanville.info Instats info@instats.org [] [] [] open_to_all []

  • Dimensionality Reduction with UMAP and Beyond with Nikolay Oskolkov, Group Leader (PI) at LIOS

    26 November 2025

    Dimensionality Reduction with UMAP and Beyond with Nikolay Oskolkov, Group Leader (PI) at LIOS https://dresa.org.au/events/dimensionality-reduction-with-umap-and-beyond-with-nikolay-oskolkov-group-leader-pi-at-lios This seminar provides a comprehensive overview of dimension reduction techniques in R and Python for high-dimensional complex datasets, focusing on their practical applications. Participants will gain theoretical knowledge and practical experience in linear and nonlinear methods such as PCA, tSNE and UMAP. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their own research problems. 2025-11-26 00:00:00 UTC 2025-11-26 06:00:00 UTC Nikolay Oskolkov, Group Leader (PI) at LIOS Instats info@instats.org [] [] [] open_to_all []

  • Deep Learning for Complex Datasets with ChatGPT 2.0 with Nikolay Oskolkov, Group Leader (PI) at LIOS

    27 - 28 October 2025

    Deep Learning for Complex Datasets with ChatGPT 2.0 with Nikolay Oskolkov, Group Leader (PI) at LIOS https://dresa.org.au/events/deep-learning-for-complex-datasets-with-chatgpt-2-0-with-nikolay-oskolkov-group-leader-pi-at-lios This intensive workshop provides a comprehensive exploration of deep learning applications for scientific research, with examples and practical techniques applied to complex datasets. Participants will gain theoretical and hands-on experience with deep learning tools such as TensorFlow and Keras, learning to construct and tune neural network architectures consulting ChatGPT and apply the models to a variety of areas including genomics and personalized medicine. 2025-10-27 19:00:00 UTC 2025-10-28 01:00:00 UTC Nikolay Oskolkov, Group Leader (PI) at LIOS Instats info@instats.org [] [] [] open_to_all []

  • Ethnography in Risky Settings with Tobias Marschall, Graduate Institute Geneva

    26 - 28 February 2026

    Ethnography in Risky Settings with Tobias Marschall, Graduate Institute Geneva https://dresa.org.au/events/ethnography-in-risky-settings-with-tobias-marschall-graduate-institute-geneva-76dccf6b-eea1-492a-99a0-543d7a4c7c4c This workshop examines the ethical and political demands of ethnography in risky settings, where danger and uncertainty often push work beyond procedural ethics. Building on ethnography’s pursuit of cultural intimacy and thick description, we treat accuracy, authenticity, and truthfulness as contested criteria and trace how realism vs. fiction, visibility and form, intensified image circulation, and tightening border regimes reshape practice. Through discussion, case analyses, and structured debates, participants explore informed consent, participation, “do no harm,” and authorship. We also consider alternative publication modalities and reflect on researchers’ multiple roles and the ethical stakes of long-term engagement in contexts of risk and vulnerability. 2026-02-26 04:30:00 UTC 2026-02-28 07:00:00 UTC Tobias Marschall, Graduate Institute Geneva Instats info@instats.org [] [] [] open_to_all []

  • Search Filters for Evidence Synthesis with Carol Lefebvre, Lefebvre Associates Ltd

    5 December 2025

    Search Filters for Evidence Synthesis with Carol Lefebvre, Lefebvre Associates Ltd https://dresa.org.au/events/search-filters-for-evidence-synthesis-with-carol-lefebvre-lefebvre-associates-ltd-e5448a6b-ca06-40d6-9ac8-230a9353a853 This workshop provides an overview of methodological and other search filters, in particular in the context of evidence synthesis. Participants will learn how to find, appraise and use these filters and gain an understanding of how and why filters are used by others. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-12-05 02:00:00 UTC 2025-12-05 05:00:00 UTC Carol Lefebvre, Lefebvre Associates Ltd Instats info@instats.org [] [] [] open_to_all []