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 76. Found 314 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 []

  • Leadership in Statistics (Free Seminar) with American Statistical Association

    11 September 2025

    Leadership in Statistics (Free Seminar) with American Statistical Association https://dresa.org.au/events/leadership-in-statistics-free-seminar-with-american-statistical-association Leadership in statistics extends far beyond formal titles or supervisory roles. Although l[color=rgb(36, 36, 36)]eadership is often seen as a position within an organization that requires supervising or managing staff, in the words of John C. Maxwell, “A leader knows the way, goes the way, and shows the way.” Max Bazerman says that leaders create an environment that enables their organization to make the best decisions. Under both definitions, an applied statistician can lead even early in their career. This webinar, [/color]presented by the Committee on Applied Statisticians,[color=rgb(36, 36, 36)] will feature two presentations on leadership in action from different applied statistics settings, followed by a discussion.[/color] 2025-09-11 05:00:00 UTC 2025-09-11 06:00:00 UTC American Statistical Association 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 []

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

    13 September 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 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. 2025-09-13 03:00:00 UTC 2025-09-13 07:30:00 UTC Tuhin Sheikh, Biostatistics, College of Health Solutions, Arizona State 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 []

  • Analyzing Intensive Longitudinal Data with Enablytics,

    23 - 24 September 2025

    Analyzing Intensive Longitudinal Data with Enablytics, https://dresa.org.au/events/analyzing-intensive-longitudinal-data-with-enablytics This hands-on workshop teaches researchers how to analyze intensive longitudinal data (diary and ESM/EMA data) to uncover within-person processes, temporal dynamics, and contextual effects that cross-sectional designs cannot detect. You will gain practical skills in R and R-Studio including data wrangling and visualization, centering and variance decomposition, multilevel and dynamic modeling (autoregressive, cross-lagged, VAR/DSEM), within-person mediation, missing-data and simulation-based power analyses. Participants will leave with reproducible code and APA-styled reporting templates ready to use for their research. The final hour of each day will be dedicated to discussing your own research and how the methods in this seminar may apply. 2025-09-23 02:00:00 UTC 2025-09-24 06:00:00 UTC Enablytics, 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 []

  • Analyzing Intensive Longitudinal Data with Enablytics,

    23 - 24 September 2025

    Analyzing Intensive Longitudinal Data with Enablytics, https://dresa.org.au/events/analyzing-intensive-longitudinal-data-with-enablytics-abfd199f-6a53-47d6-8278-34d6bd3ca9ce This hands-on workshop teaches researchers how to analyze intensive longitudinal data (diary and ESM/EMA data) to uncover within-person processes, temporal dynamics, and contextual effects that cross-sectional designs cannot detect. You will gain practical skills in R and R-Studio including data wrangling and visualization, centering and variance decomposition, multilevel and dynamic modeling (autoregressive, cross-lagged, VAR/DSEM), within-person mediation, missing-data and simulation-based power analyses. Participants will leave with reproducible code and APA-styled reporting templates ready to use for their research. The final hour of each day will be dedicated to discussing your own research and how the methods in this seminar may apply. 2025-09-23 02:00:00 UTC 2025-09-24 06:00:00 UTC Enablytics, Instats info@instats.org [] [] [] open_to_all []

  • Analyzing Intensive Longitudinal Data with Enablytics,

    23 - 24 September 2025

    Analyzing Intensive Longitudinal Data with Enablytics, https://dresa.org.au/events/analyzing-intensive-longitudinal-data-with-enablytics-2f79f38c-d58f-4d4c-808f-50451476ef20 This hands-on workshop teaches researchers how to analyze intensive longitudinal data (diary and ESM/EMA data) to uncover within-person processes, temporal dynamics, and contextual effects that cross-sectional designs cannot detect. You will gain practical skills in R and R-Studio including data wrangling and visualization, centering and variance decomposition, multilevel and dynamic modeling (autoregressive, cross-lagged, VAR/DSEM), within-person mediation, missing-data and simulation-based power analyses. Participants will leave with reproducible code and APA-styled reporting templates ready to use for their research. The final hour of each day will be dedicated to discussing your own research and how the methods in this seminar may apply. 2025-09-23 02:00:00 UTC 2025-09-24 06:00:00 UTC Enablytics, Instats info@instats.org [] [] [] open_to_all []

  • Analyzing Intensive Longitudinal Data with Scott Colwell, University of Guelph and Enablytics

    23 - 24 September 2025

    Analyzing Intensive Longitudinal Data with Scott Colwell, University of Guelph and Enablytics https://dresa.org.au/events/analyzing-intensive-longitudinal-data-with-scott-colwell-university-of-guelph-and-enablytics This hands-on workshop teaches researchers how to analyze intensive longitudinal data (diary and ESM/EMA data) to uncover within-person processes, temporal dynamics, and contextual effects that cross-sectional designs cannot detect. You will gain practical skills in R and R-Studio including data wrangling and visualization, centering and variance decomposition, multilevel and dynamic modeling (autoregressive, cross-lagged, VAR/DSEM), within-person mediation, missing-data and simulation-based power analyses. Participants will leave with reproducible code and APA-styled reporting templates ready to use for their research. The final hour of each day will be dedicated to discussing your own research and how the methods in this seminar may apply. 2025-09-23 02:00:00 UTC 2025-09-24 06:00:00 UTC Scott Colwell, University of Guelph and Enablytics 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 []

  • Predicting Network Structure with Hypergraphs with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University

    23 - 26 September 2025

    Predicting Network Structure with Hypergraphs with Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University https://dresa.org.au/events/predicting-network-structure-with-hypergraphs-with-moses-boudourides-data-science-graduate-program-school-of-professional-studies-northwestern-university This comprehensive seminar delves into the advanced study of hyperlink prediction within hypergraphs, exploring foundational theories and innovative methodologies relevant for complex data networks. Participants will gain expertise in three core problem settings: [b]hypergraph reconstruction[/b], [b]hidden hyperedge prediction[/b], and [b]temporal hypergraph forecasting[/b], each with distinct learning objectives and evaluation strategies. Three principal categories of hyperlink prediction methods are explored: [ml][ol][li indent=0 align=left][b]Similarity-based heuristics[/b] such as Common Neighbors and Resource Allocation.[/li][li indent=0 align=left][b]Word embedding approaches[/b] that adapt techniques like Word2Vec to hypergraphs.[/li][li indent=0 align=left][b]Deep learning models[/b], including Hypergraph Neural Networks (HyperGNN) and spectral methods like [b]CHESHIRE[/b].[/li][/ol][/ml] Each class of methods is defined with mathematical precision, and a machine learning evaluation framework is presented, incorporating both exact and Jaccard-based similarity matching. The workshop also outlines a taxonomy of real-world applications—spanning social networks, bioinformatics, finance, and transportation—underscoring the relevance of hypergraph-based modeling for complex, multi-way relational data. This will be a [b]non-coding [/b]workshop focused on exploring the core concepts, methods, and algorithms of hyperlink prediction. It is designed to provide participants with a structured and conceptual entry point into this rapidly evolving research area. 2025-09-23 02:00:00 UTC 2025-09-26 04:00:00 UTC Moses Boudourides, Data Science Graduate Program, School of Professional Studies, Northwestern University Instats info@instats.org [] [] [] open_to_all []

  • Data Wrangling in R with Copilot with Fodil Ihaddaden, Institute for Statistical and Data Science

    16 - 17 September 2025

    Data Wrangling in R with Copilot with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/data-wrangling-in-r-with-copilot-with-fodil-ihaddaden-institute-for-statistical-and-data-science-5be54865-a846-4c6c-8f16-3f8f701e8d6c This one-day seminar provides a comprehensive exploration of data wrangling in R with Copilot, focusing on the `data.table` package to enhance data analysis skills through fast, robust, and efficient data manipulation techniques. Participants will gain a profound understanding of `data.table` syntax and applications with the help of LLMs via Copilot, empowering them to handle large datasets and perform complex analyses efficiently in various academic and professional research contexts. 2025-09-16 22:00:00 UTC 2025-09-17 02:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science 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 []

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

    25 - 26 September 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 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. 2025-09-25 22:00:00 UTC 2025-09-26 04:00:00 UTC Nikolay Oskolkov, Group Leader (PI) at LIOS Instats info@instats.org [] [] [] open_to_all []

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

    26 September 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-1f20341a-ab55-42e9-a832-269c351e6187 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. 2025-09-26 22:00:00 UTC 2025-09-26 23:00:00 UTC Nikolay Oskolkov, Group Leader (PI) at LIOS Instats info@instats.org [] [] [] open_to_all []

  • Difference-in-Differences (DiD) with Panel Data with Jeffrey Wooldridge, Department of Economics, Michigan State University

    10 - 11 September 2025

    Difference-in-Differences (DiD) with Panel Data with Jeffrey Wooldridge, Department of Economics, Michigan State University https://dresa.org.au/events/difference-in-differences-did-with-panel-data-with-jeffrey-wooldridge-department-of-economics-michigan-state-university This workshop covers recent developments in difference-in-differences (DiD) estimation for causal inference with longitudinal panel data, covering the foundational theory for DiD approaches along with flexible regression-based methods and staggered interventions. More recent methods based on rolling controls, long differencing, and more will also will be covered. 2025-09-10 02:00:00 UTC 2025-09-11 08:00:00 UTC Jeffrey Wooldridge, Department of Economics, Michigan State University Instats info@instats.org [] [] [] open_to_all []

  • Macroeconomic Policy in Periods of Uncertainty with Ioannis Bournakis, SKEMA Business School

    10 - 11 September 2025

    Macroeconomic Policy in Periods of Uncertainty with Ioannis Bournakis, SKEMA Business School https://dresa.org.au/events/macroeconomic-policy-in-periods-of-uncertainty-with-ioannis-bournakis-skema-business-school-687cf410-d542-4c5e-ba44-992fa53f9ddf This comprehensive seminar provides advanced insights into macroeconomic policy strategies essential for navigating global uncertainties such as geopolitical shifts, energy crises, and technological disruptions. Participants will explore critical topics like fiscal policy adjustments, energy independence, and the rise of protectionism, equipping them with the skills to develop innovative solutions applicable to their research in Economics and related fields. 2025-09-10 18:00:00 UTC 2025-09-11 21:30:00 UTC Ioannis Bournakis, SKEMA Business School 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 []

  • Causal Mediation Analysis with Paola Zaninotto, Epidemiology & Public Health, University College London

    1 - 3 October 2025

    Causal Mediation Analysis with Paola Zaninotto, Epidemiology & Public Health, University College London https://dresa.org.au/events/causal-mediation-analysis-with-paola-zaninotto-epidemiology-public-health-university-college-london This two-day seminar provides a comprehensive exploration of causal mediation analysis, emphasizing strong theoretical foundations and practical applications for researchers in diverse fields. Participants will gain crucial skills in implementing these advanced methodologies using R and Stata, enhancing the credibility and impact of their research findings. 2025-10-01 21:00:00 UTC 2025-10-03 00:30:00 UTC Paola Zaninotto, Epidemiology & Public Health, 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 []

  • 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 []

  • Advanced Network Analysis: Exponential Random Graphs with Basak Taraktas, Department of Political Science and International Relations, Bogazici University

    29 September - 1 October 2025

    Advanced Network Analysis: Exponential Random Graphs with Basak Taraktas, Department of Political Science and International Relations, Bogazici University https://dresa.org.au/events/advanced-network-analysis-exponential-random-graphs-with-basak-taraktas-department-of-political-science-and-international-relations-bogazici-university-f18439f1-bc91-4666-864a-55ca79454f1e This seminar provides a comprehensive exploration of Exponential Random Graph Models (ERGMs) for advanced network analysis, equipping participants with the ability to model and interpret complex network data. Led by Dr. Basak Taraktas, attendees will gain hands-on experience using R to apply these sophisticated techniques across various fields, enhancing their research capabilities. 2025-09-29 23:00:00 UTC 2025-10-01 01:00:00 UTC Basak Taraktas, Department of Political Science and International Relations, Bogazici University Instats info@instats.org [] [] [] open_to_all []

  • Advanced Network Analysis: Exponential Random Graphs with Basak Taraktas, Department of Political Science and International Relations, Bogazici University

    29 September - 1 October 2025

    Advanced Network Analysis: Exponential Random Graphs with Basak Taraktas, Department of Political Science and International Relations, Bogazici University https://dresa.org.au/events/advanced-network-analysis-exponential-random-graphs-with-basak-taraktas-department-of-political-science-and-international-relations-bogazici-university-4f98a00e-c5ee-466c-9623-11637e04b28a This seminar provides a comprehensive exploration of Exponential Random Graph Models (ERGMs) for advanced network analysis, equipping participants with the ability to model and interpret complex network data. Led by Dr. Basak Taraktas, attendees will gain hands-on experience using R to apply these sophisticated techniques across various fields, enhancing their research capabilities. 2025-09-29 23:00:00 UTC 2025-10-01 03:30:00 UTC Basak Taraktas, Department of Political Science and International Relations, Bogazici University Instats info@instats.org [] [] [] open_to_all []

  • Data Wrangling in R with Copilot with Fodil Ihaddaden, Institute for Statistical and Data Science

    16 September 2025

    Data Wrangling in R with Copilot with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/data-wrangling-in-r-with-copilot-with-fodil-ihaddaden-institute-for-statistical-and-data-science This one-day seminar provides a comprehensive exploration of the `data.table` package in R, focusing on enhancing data analysis skills through fast, robust, and efficient data manipulation techniques with the help of LLMs via Copilot. Participants will gain a profound understanding of `data.table` syntax and applications, empowering them to handle large datasets and perform complex analyses efficiently in various academic and professional research contexts. 2025-09-16 22:00:00 UTC 2025-09-16 23:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

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

    15 - 20 September 2025

    Analysis Of Ecological Communities in R with VEGAN with Antoine Becker-Scarpitta, CIRAD (Agricultural Research Centre for International Development) https://dresa.org.au/events/analysis-of-ecological-communities-in-r-with-vegan-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. 2025-09-15 21:00:00 UTC 2025-09-20 05:00:00 UTC Antoine Becker-Scarpitta, CIRAD (Agricultural Research Centre for International Development) Instats info@instats.org [] [] [] open_to_all []

  • Bioacoustics Data Analysis using R with Marcelo Araya-Salas, Centro de Investigación en Neurociencias, Universidad de Costa Rica

    6 - 11 October 2025

    Bioacoustics Data Analysis using R with Marcelo Araya-Salas, Centro de Investigación en Neurociencias, Universidad de Costa Rica https://dresa.org.au/events/bioacoustics-data-analysis-using-r-with-marcelo-araya-salas-centro-de-investigacion-en-neurociencias-universidad-de-costa-rica This comprehensive seminar introduces participants to bioacoustics data analysis using the R programming environment, focusing on mastering tools for managing, processing, and interpreting complex acoustic datasets. Participants will gain hands-on experience with cutting-edge techniques for quantifying acoustic signals and understanding their implications in various biological contexts, enhancing their capacity to conduct impactful research in biodiversity and animal behavior. 2025-10-06 23:30:00 UTC 2025-10-11 03:30:00 UTC Marcelo Araya-Salas, Centro de Investigación en Neurociencias, Universidad de Costa Rica Instats info@instats.org [] [] [] open_to_all []

  • Seminal Ideas and Controversies in Statistics (Free Seminar) with Roderick Little, Department of Biostatistics, University of Michigan

    27 - 28 September 2025

    Seminal Ideas and Controversies in Statistics (Free Seminar) with Roderick Little, Department of Biostatistics, University of Michigan https://dresa.org.au/events/seminal-ideas-and-controversies-in-statistics-free-seminar-with-roderick-little-department-of-biostatistics-university-of-michigan This seminar, professor Roderick Little delves into the pivotal ideas and debates that have shaped statistical science, providing participants with a comprehensive understanding of key methodologies and their historical context. Attendees will refine their ability to critically evaluate statistical practices through the exploration of classical and contemporary issues, including Bayesian versus frequentist paradigms, hypothesis testing alternatives, and advanced data analysis techniques. 2025-09-27 23:00:00 UTC 2025-09-28 00:30:00 UTC Roderick Little, Department of Biostatistics, University of Michigan 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 []

  • Applied Bayesian Modeling in Python with Chris Fonnesbeck, PyMC Labs and Vanderbilt University Medical Center

    19 - 20 September 2025

    Applied Bayesian Modeling in Python with Chris Fonnesbeck, PyMC Labs and Vanderbilt University Medical Center https://dresa.org.au/events/applied-bayesian-modeling-in-python-with-chris-fonnesbeck-pymc-labs-and-vanderbilt-university-medical-center This seminar introduces Bayesian statistics and hierarchical modeling using PyMC, taking participants through the complete workflow from basic regression to more sophisiticated multi-level models. Attendees will gain practical experience with probabilistic programming, MCMC sampling, and model validation techniques, providing them with essential tools for modern Bayesian data analysis. 2025-09-19 04:00:00 UTC 2025-09-20 07:00:00 UTC Chris Fonnesbeck, PyMC Labs and Vanderbilt University Medical Center 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 []

  • Advanced Network Analysis: Exponential Random Graphs with Basak Taraktas, Department of Political Science and International Relations, Bogazici University

    2 - 3 October 2025

    Advanced Network Analysis: Exponential Random Graphs with Basak Taraktas, Department of Political Science and International Relations, Bogazici University https://dresa.org.au/events/advanced-network-analysis-exponential-random-graphs-with-basak-taraktas-department-of-political-science-and-international-relations-bogazici-university-d8885ba0-24fc-4bac-9bd2-b84fe353d6f6 This seminar provides a comprehensive exploration of Exponential Random Graph Models (ERGMs) for advanced network analysis, equipping participants with the ability to model and interpret complex network data. Led by Dr. Basak Taraktas, attendees will gain hands-on experience using R to apply these sophisticated techniques across various fields, enhancing their research capabilities. 2025-10-02 00:00:00 UTC 2025-10-03 01:00:00 UTC Basak Taraktas, Department of Political Science and International Relations, Bogazici University Instats info@instats.org [] [] [] open_to_all []

  • Advanced Network Analysis: Exponential Random Graphs with Basak Taraktas, Department of Political Science and International Relations, Bogazici University

    2 - 3 October 2025

    Advanced Network Analysis: Exponential Random Graphs with Basak Taraktas, Department of Political Science and International Relations, Bogazici University https://dresa.org.au/events/advanced-network-analysis-exponential-random-graphs-with-basak-taraktas-department-of-political-science-and-international-relations-bogazici-university-97e39b62-876d-4a63-a114-8efaf3f95636 This seminar provides a comprehensive exploration of Exponential Random Graph Models (ERGMs) for advanced network analysis, equipping participants with the ability to model and interpret complex network data. Led by Dr. Basak Taraktas, attendees will gain hands-on experience using R to apply these sophisticated techniques across various fields, enhancing their research capabilities. 2025-10-02 00:00:00 UTC 2025-10-03 03:30:00 UTC Basak Taraktas, Department of Political Science and International Relations, Bogazici University 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 []

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

    9 September - 7 October 2025

    Introduction to Bayesian Statistical Modelling with Rosina Savisaar, Mondego Science (Biostatistics) https://dresa.org.au/events/introduction-to-bayesian-statistical-modelling-with-rosina-savisaar-mondego-science-biostatistics This 5-day workshop provides an intuitive hands-on introduction to statistical modelling, viewed from the Bayesian perspective. The course starts by covering the very basics of what a model is, building up to fairly sophisticated models by the last session (for example, predicting COVID-19 outcomes from biomarker data). An official Instats certificate of completion is provided at the conclusion of the seminar. For European PhD students, the seminar offers ECTS Equivalent points. 2025-09-09 00:00:00 UTC 2025-10-07 04:00:00 UTC Rosina Savisaar, Mondego Science (Biostatistics) Instats info@instats.org [] [] [] open_to_all []

  • Bayesian Phylogenetics with BEAST2 with Joëlle Barido-Sottani, Institute of Biology, ENS-PSL, CNRS

    18 - 20 September 2025

    Bayesian Phylogenetics with BEAST2 with Joëlle Barido-Sottani, Institute of Biology, ENS-PSL, CNRS https://dresa.org.au/events/bayesian-phylogenetics-with-beast2-with-joelle-barido-sottani-institute-of-biology-ens-psl-cnrs This two-day seminar provides a comprehensive introduction to Bayesian phylogenetics using the powerful BEAST2 software, focusing on building phylogenies and estimating evolutionary dynamics while incorporating prior knowledge and uncertainty. Participants will gain both theoretical understanding and practical skills necessary to conduct sophisticated Bayesian analyses on real-world datasets in fields such as epidemiology, molecular biology, and evolutionary biology. 2025-09-18 22:00:00 UTC 2025-09-20 00:30:00 UTC Joëlle Barido-Sottani, Institute of Biology, ENS-PSL, CNRS Instats info@instats.org [] [] [] open_to_all []

  • Surveying Sex, Gender and Sexuality with Kirstie Ken English, School of Social and Political Sciences, University of Glasgow

    25 September - 3 October 2025

    Surveying Sex, Gender and Sexuality with Kirstie Ken English, School of Social and Political Sciences, University of Glasgow https://dresa.org.au/events/surveying-sex-gender-and-sexuality-with-kirstie-ken-english-school-of-social-and-political-sciences-university-of-glasgow This seminar introduces participants to issues surrounding the ways that sex, gender and sexuality are represented in surveys—using UK surveys as exemplars. The course helps participants design survey questions in an inclusive, transparent and reflexive manner. The recommendations provided in this course are based on a mixed method research project that directly engaged with people whose relationships to sex, gender and sexuality are often overlooked. The seminar offers practical guidance that researchers and EDI partitioners can put to use in their own work. 2025-09-25 19:00:00 UTC 2025-10-03 23:00:00 UTC Kirstie Ken English, School of Social and Political Sciences, University of Glasgow 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 []

  • What is GIS? (Free Seminar) with Nick Bearman, University College London and Geospatial Training Solutions

    7 - 8 October 2025

    What is GIS? (Free Seminar) with Nick Bearman, University College London and Geospatial Training Solutions https://dresa.org.au/events/what-is-gis-free-seminar-with-nick-bearman-university-college-london-and-geospatial-training-solutions This seminar provides a comprehensive introduction to geospatial information systems (GIS), exploring fundamental concepts, spatial data sources, and software tools applicable across various research fields. Participants will skills in spatial analysis and data visualization, empowering them to integrate GIS into their academic research and enhance their analytical capabilities. 2025-10-07 23:00:00 UTC 2025-10-08 00:00:00 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 []

  • Self-Determination Theory for Research and Interventions with Marylène Gagné, Future of Work Institute, Curtin University

    22 - 24 September 2025

    Self-Determination Theory for Research and Interventions with Marylène Gagné, Future of Work Institute, Curtin University https://dresa.org.au/events/self-determination-theory-for-research-and-interventions-with-marylene-gagne-future-of-work-institute-curtin-university This 2-day seminar is designed to enhance participants' understanding and application of Self-Determination Theory (SDT) across various fields including psychology, education, organization science, and public health. Participants will explore SDT's theoretical foundations as a theory of motivation, recent methodological approaches, and practical applications, gaining tools to implement SDT principles effectively in their research and design more effective interventions. 2025-09-22 20:00:00 UTC 2025-09-24 00:00:00 UTC Marylène Gagné, Future of Work Institute, Curtin University 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 []

  • Causal Machine Learning with Melvyn Weeks, Faculty of Economics, University of Cambridge

    6 - 8 October 2025

    Causal Machine Learning with Melvyn Weeks, Faculty of Economics, University of Cambridge https://dresa.org.au/events/causal-machine-learning-with-melvyn-weeks-faculty-of-economics-university-of-cambridge This seminar provides an in-depth exploration of causal machine learning, equipping participants with sophisticated techniques to differentiate causation from correlation using modern machine learning tools integrated with robust econometric methods. By introducing a number of well defined points of departure, the seminar is designed to provide exposure to advanced methods for causal inference without requiring significant prerequisites. Attendees will gain practical skills and theoretical knowledge to apply these approaches effectively in their research across various domains. 2025-10-06 19:00:00 UTC 2025-10-08 01:00:00 UTC Melvyn Weeks, Faculty of Economics, University of Cambridge 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 []

  • AI-Powered multiOmics Data Analysis with Nikolay Oskolkov, Group Leader (PI) at LIOS

    25 - 26 September 2025

    AI-Powered multiOmics Data Analysis with Nikolay Oskolkov, Group Leader (PI) at LIOS https://dresa.org.au/events/ai-powered-multiomics-data-analysis-with-nikolay-oskolkov-group-leader-pi-at-lios This workshop presents [b]AI‑powered strategies for pre-processing, integrating and modeling multi‑omics[/b] datasets (genomics, transcriptomics, proteomics, metabolomics and single‑cell), covering filtering, imputation, batch correction, unsupervised and supervised integration, and rigorous evaluation on independent cohorts. Through concise lectures, case studies and hands‑on [b]Python/R/TensorFlow[/b] notebooks, participants will learn to build reproducible end‑to‑end pipelines, train and interpret [b]linear and non‑linear models[/b] (including deep neural nets and Random Forests), and translate integrative results into testable biological insights. 2025-09-25 22:00:00 UTC 2025-09-26 04:00:00 UTC Nikolay Oskolkov, Group Leader (PI) at LIOS 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 []

  • Fast and Efficient Data Wrangling with R data.table with Fodil Ihaddaden, Institute for Statistical and Data Science

    16 September 2025

    Fast and Efficient Data Wrangling with R data.table with Fodil Ihaddaden, Institute for Statistical and Data Science https://dresa.org.au/events/fast-and-efficient-data-wrangling-with-r-data-table-with-fodil-ihaddaden-institute-for-statistical-and-data-science This one-day seminar provides a comprehensive exploration of the `data.table` package in R, focusing on enhancing data analysis skills through fast, robust, and efficient data manipulation techniques. Participants will gain a profound understanding of `data.table` syntax and applications, empowering them to handle large datasets and perform complex analyses efficiently in various academic and professional research contexts. 2025-09-16 22:00:00 UTC 2025-09-16 23:00:00 UTC Fodil Ihaddaden, Institute for Statistical and Data Science 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 []

  • Bioacoustics Data Analysis using R with Marcelo Araya-Salas, Centro de Investigación en Neurociencias, Universidad de Costa Rica

    6 - 11 October 2025

    Bioacoustics Data Analysis using R with Marcelo Araya-Salas, Centro de Investigación en Neurociencias, Universidad de Costa Rica https://dresa.org.au/events/bioacoustics-data-analysis-using-r-with-marcelo-araya-salas-centro-de-investigacion-en-neurociencias-universidad-de-costa-rica-bad0d87d-b662-41e0-8236-8e24628b29db This comprehensive seminar introduces participants to bioacoustics data analysis using the R programming environment, focusing on mastering tools for managing, processing, and interpreting complex acoustic datasets. Participants will gain hands-on experience with cutting-edge techniques for quantifying acoustic signals and understanding their implications in various biological contexts, enhancing their capacity to conduct impactful research in biodiversity and animal behavior. 2025-10-06 23:30:00 UTC 2025-10-11 03:30:00 UTC Marcelo Araya-Salas, Centro de Investigación en Neurociencias, Universidad de Costa Rica 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 []

  • 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 []

  • 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 []

  • Genomics for Ecological and Evolutionary Studies with Giulio Formenti, Vertebrate Genome Lab, The Rockefeller University

    14 - 18 October 2025

    Genomics for Ecological and Evolutionary Studies with Giulio Formenti, Vertebrate Genome Lab, The Rockefeller University https://dresa.org.au/events/genomics-for-ecological-and-evolutionary-studies-with-giulio-formenti-vertebrate-genome-lab-the-rockefeller-university [highlight=transparent]This introductory workshop shows how to effectively use genomic approaches in ecological and evolutionary studies, offering participants both theoretical foundations and practical skills in DNA sequencing and bioinformatics. Led by experts Prof. Giulio Formenti and Dr. Guido Gallo, attendees will gain hands-on experience using command line tools to analyze sequencing data and apply bioinformatics tools to address key research questions in ecology and evolution.[/highlight] 2025-10-14 02:00:00 UTC 2025-10-18 05:00:00 UTC Giulio Formenti, Vertebrate Genome Lab, The Rockefeller University Instats info@instats.org [] [] [] open_to_all []