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.

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

  11 - 15 May 2026

  Applied Research Methods for Social Scientists with James F. Downes, Center for Research and Social Progress, Chinese University of Hong Kong https://instats.org/seminar/applied-research-methods-for-social-scie?utm_source=dresa 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-f2cb94c0-1fcf-44b2-ae5e-360dafeace2f 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. 2026-05-11 18:00:00 UTC 2026-05-15 20:00:00 UTC James F. Downes, Center for Research and Social Progress, Chinese University of Hong Kong Instats info@instats.org [] [] [] open_to_all []

• High-Dimensional Propensity Score (Free Seminar) with Ehsan Karim, School of Population and Public Health, University of British Columbia

  18 February 2026

  High-Dimensional Propensity Score (Free Seminar) with Ehsan Karim, School of Population and Public Health, University of British Columbia https://instats.org/seminar/high-dimensional-propensity-score-free-s?utm_source=dresa https://dresa.org.au/events/high-dimensional-propensity-score-free-seminar-with-ehsan-karim-school-of-population-and-public-health-university-of-british-columbia This two-hour live online workshop teaches the hdPS algorithm, as well as contemporary machine-learning and double-robust extensions for controlling residual confounding in administrative health data. The seminar combines conceptual foundations with reproducible R code and practical guidance on sensitivity analyses and reporting for publication. 2026-02-18 04:00:00 UTC 2026-02-18 06:00:00 UTC Ehsan Karim, School of Population and Public Health, University of British Columbia Instats info@instats.org [] [] [] open_to_all []

• Statistical Analysis of Social Network Data with Tianxi Li, School of Statistics, University of Minnesota, Twin Cities

  16 January 2026

  Statistical Analysis of Social Network Data with Tianxi Li, School of Statistics, University of Minnesota, Twin Cities https://instats.org/seminar/statistical-analysis-of-social-network-d?utm_source=dresa https://dresa.org.au/events/statistical-analysis-of-social-network-data-with-tianxi-li-school-of-statistics-university-of-minnesota-twin-cities This hands-on seminar introduces modern statistical methods for social network data, from network fundamentals to advanced statistical network models and privacy considerations. Through reproducible R demonstrations, you will learn to implement and diagnose models, design valid tests for relational data, and apply principled, publishable workflows for high-impact network research. 2026-01-16 01:30:00 UTC 2026-01-16 09:30:00 UTC Tianxi Li, School of Statistics, University of Minnesota, Twin Cities Instats info@instats.org [] [] [] open_to_all []

• Statistical Analysis of Social Network Data with Tianxi Li, School of Statistics, University of Minnesota, Twin Cities

  16 January 2026

  Statistical Analysis of Social Network Data with Tianxi Li, School of Statistics, University of Minnesota, Twin Cities https://instats.org/seminar/statistical-analysis-of-social-network-d?utm_source=dresa https://dresa.org.au/events/statistical-analysis-of-social-network-data-with-tianxi-li-school-of-statistics-university-of-minnesota-twin-cities-408f808c-d710-444d-8ed1-dba6c4365da4 This hands-on seminar introduces modern statistical methods for social network data, from network fundamentals to advanced statistical network models and privacy considerations. Through reproducible R demonstrations, you will learn to implement and diagnose models, design valid tests for relational data, and apply principled, publishable workflows for high-impact network research. 2026-01-16 01:30:00 UTC 2026-01-16 09:30:00 UTC Tianxi Li, School of Statistics, University of Minnesota, Twin Cities 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://instats.org/seminar/?utm_source=dresa 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 []

• RNA-seq: From FASTQ to Counts with Estefania Mancini, Josep Carreras Leukaemia Research Institute

  24 - 28 March 2026

  RNA-seq: From FASTQ to Counts with Estefania Mancini, Josep Carreras Leukaemia Research Institute https://instats.org/seminar/rna-seq-from-fastq-to-counts?utm_source=dresa https://dresa.org.au/events/rna-seq-from-fastq-to-counts-with-estefania-mancini-josep-carreras-leukaemia-research-institute Practical, hands-on training in reproducible RNA‑seq data processing using nf‑core Nextflow pipelines — covering retrieval of public FASTQ files, samplesheet and config preparation, running nf‑core/fetchngs and nf‑core/rnaseq, and interpreting MultiQC and other QC outputs to generate read count matrices. You will learn to configure and run portable, containerized workflows on local, cluster, or cloud resources, troubleshoot common issues, and produce publication‑ready count matrices for downstream statistical analysis. 2026-03-24 00:00:00 UTC 2026-03-28 04:00:00 UTC Estefania Mancini, Josep Carreras Leukaemia Research Institute 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

  31 January - 3 February 2026

  Causal Inference with AI and Machine Learning with Jason Anastasopoulos, School of Public and International Affairs, University of Georgia https://instats.org/seminar/causal-inference-with-ai-and-machine-lea?utm_source=dresa https://dresa.org.au/events/causal-inference-with-ai-and-machine-learning-with-jason-anastasopoulos-school-of-public-and-international-affairs-university-of-georgia-686a3465-cca3-45ef-8bd5-1b943b5882d0 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. 2026-01-31 03:30:00 UTC 2026-02-03 09:30:00 UTC Jason Anastasopoulos, School of Public and International Affairs, University of Georgia Instats info@instats.org [] [] [] open_to_all []

• Introduction to Spatial Econometrics with Edward Goldring, School of Social and Political Sciences, University of Melbourne

  1 - 5 June 2026

  Introduction to Spatial Econometrics with Edward Goldring, School of Social and Political Sciences, University of Melbourne https://instats.org/seminar/introduction-to-spatial-econometrics?utm_source=dresa https://dresa.org.au/events/introduction-to-spatial-econometrics-with-edward-goldring-school-of-social-and-political-sciences-university-of-melbourne-3eff0f4b-f83e-478d-96f7-d75822846265 This seminar provides the knowledge and tools to apply spatial econometric models, addressing how crucial spatial dynamics in politics are often omitted from standard statistical analysis. It is a hands-on seminar where participants will gain practical experience estimating these models to help them answer theoretically significant and policy-relevant questions. 2026-06-01 07:30:00 UTC 2026-06-05 09:30:00 UTC Edward Goldring, School of Social and Political Sciences, University of Melbourne 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://instats.org/seminar/?utm_source=dresa 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 []

• Introduction to Spatial Econometrics with Edward Goldring, School of Social and Political Sciences, University of Melbourne

  1 - 5 June 2026

  Introduction to Spatial Econometrics with Edward Goldring, School of Social and Political Sciences, University of Melbourne https://instats.org/seminar/introduction-to-spatial-econometrics?utm_source=dresa https://dresa.org.au/events/introduction-to-spatial-econometrics-with-edward-goldring-school-of-social-and-political-sciences-university-of-melbourne-f40b6032-54bc-498a-bc02-859d77834195 This seminar provides the knowledge and tools to apply spatial econometric models, addressing how crucial spatial dynamics in politics are often omitted from standard statistical analysis. It is a hands-on seminar where participants will gain practical experience estimating these models to help them answer theoretically significant and policy-relevant questions. 2026-06-01 07:30:00 UTC 2026-06-05 09:30:00 UTC Edward Goldring, School of Social and Political Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []

• Generative AI for Statistical Science with Lei Ding, Faculty of Statistics, University of Manitoba

  4 March 2026

  Generative AI for Statistical Science with Lei Ding, Faculty of Statistics, University of Manitoba https://instats.org/seminar/?utm_source=dresa https://dresa.org.au/events/generative-ai-for-statistical-science-with-lei-ding-faculty-of-statistics-university-of-manitoba This 1.5 hours live online workshop introduces modern generative AI methods and their use in statistics and biostatistics. The focus is on understanding how these models work, where they are useful in practice, and how to apply them responsibly to real data problems. 2026-03-04 04:00:00 UTC 2026-03-04 05:30:00 UTC Lei Ding, Faculty of Statistics, University of Manitoba Instats info@instats.org [] [] [] open_to_all []

• Generative AI for Statistical Science (Free Seminar) with Lei Ding, Faculty of Statistics, University of Manitoba

  4 March 2026

  Generative AI for Statistical Science (Free Seminar) with Lei Ding, Faculty of Statistics, University of Manitoba https://instats.org/seminar/generative-ai-for-statistical-science?utm_source=dresa https://dresa.org.au/events/generative-ai-for-statistical-science-free-seminar-with-lei-ding-faculty-of-statistics-university-of-manitoba This 1.5 hours live online workshop introduces modern generative AI methods and their use in statistics and biostatistics. The focus is on understanding how these models work, where they are useful in practice, and how to apply them responsibly to real data problems. 2026-03-04 04:00:00 UTC 2026-03-04 05:30:00 UTC Lei Ding, Faculty of Statistics, University of Manitoba Instats info@instats.org [] [] [] open_to_all []

• Generative AI for Statistical Science (Free Seminar) with Lei Ding, Faculty of Statistics, University of Manitoba

  4 March 2026

  Generative AI for Statistical Science (Free Seminar) with Lei Ding, Faculty of Statistics, University of Manitoba https://instats.org/seminar/generative-ai-for-statistical-science-fr?utm_source=dresa https://dresa.org.au/events/generative-ai-for-statistical-science-free-seminar-with-lei-ding-faculty-of-statistics-university-of-manitoba-28961e33-70f5-4f14-9f08-06099becf046 This workshop introduces modern generative AI methods and their use in statistics and biostatistics. The focus is on understanding how these models work, where they are useful in practice, and how to apply them responsibly to real data problems. 2026-03-04 04:00:00 UTC 2026-03-04 05:30:00 UTC Lei Ding, Faculty of Statistics, University of Manitoba Instats info@instats.org [] [] [] open_to_all []

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

  9 - 10 February 2026

  Introduction to Logistic Regression with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/introduction-to-logistic-regression-2?utm_source=dresa https://dresa.org.au/events/introduction-to-logistic-regression-with-centre-for-applied-statistics-courses-casc-university-college-london-93a739d2-1483-40cb-94c3-4507b3c4efda This one-day seminar provides a comprehensive introduction to logistic regression, a critical technique for analyzing binary outcome variables in various research fields. Participants will gain practical skills in data preparation, model fitting, and the interpretation of logistic regression outputs, enhancing their ability to tackle complex data analysis challenges in their academic work. 2026-02-09 20:30:00 UTC 2026-02-10 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

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

  16 - 19 February 2026

  Dealing with Missing Data with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/dealing-with-missing-data?utm_source=dresa https://dresa.org.au/events/dealing-with-missing-data-with-centre-for-applied-statistics-courses-casc-university-college-london This seminar provides a comprehensive introduction to dealing with missing data in research, covering essential concepts such as the types and reasons behind missing data, and effective/popular methods for addressing these issues, including multiple imputation and listwise deletion. Participants will enhance their analytical skills through a combination of theoretical knowledge and practical application, improving the credibility and reliability of their research findings. 2026-02-16 20:30:00 UTC 2026-02-19 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• ANOVA and GLMs with SPSS with Centre for Applied Statistics Courses (CASC), University College London

  16 - 17 March 2026

  ANOVA and GLMs with SPSS with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/anova-and-glms-with-spss?utm_source=dresa https://dresa.org.au/events/anova-and-glms-with-spss-with-centre-for-applied-statistics-courses-casc-university-college-london-34148615-ff5e-44d2-82d9-d3a5e5c62e72 The "ANOVA and GLMs with SPSS" workshop by the Centre for Applied Statistics Courses (CASC) at University College London is a comprehensive exploration of ANOVA and General Linear Models, designed for PhD students, professors, and professional researchers in various fields. This course will introduce you to the basic principles of ANOVA and GLMs, and how to choose, run, interpret, and report a variety of different models. The course takes a hands-on approach to learning, with SPSS software used for demonstration and practice throughout. 2026-03-16 20:30:00 UTC 2026-03-17 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Data Management and Statistical Analysis with SPSS with Centre for Applied Statistics Courses (CASC), University College London

  30 - 31 January 2026

  Data Management and Statistical Analysis with SPSS with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/data-management-and-statistical-analysis?utm_source=dresa https://dresa.org.au/events/data-management-and-statistical-analysis-with-spss-with-centre-for-applied-statistics-courses-casc-university-college-london The "Introduction to SPSS" workshop by the Centre for Applied Statistics Courses (CASC) at University College London is a comprehensive course designed to equip researchers from various fields with the skills to perform data analysis using SPSS. This course offers an introduction to the uses and functions of the statistical software SPSS including data entry and editing, and the basics of analyses and graphs. 2026-01-30 20:30:00 UTC 2026-01-31 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Excel Methods for Power & Sample Size with Centre for Applied Statistics Courses (CASC), University College London

  3 - 4 February 2026

  Excel Methods for Power & Sample Size with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/excel-methods-for-power-and-sample-size?utm_source=dresa https://dresa.org.au/events/excel-methods-for-power-sample-size-with-centre-for-applied-statistics-courses-casc-university-college-london The "Excel Methods for Power & Sample Size" workshop by the Centre for Applied Statistics Courses (CASC) at University College London is a comprehensive seminar designed to equip researchers with the necessary skills to conduct robust research. The seminar gives the basics of sample size estimation and will be of use to those embarking on a research project, and to those who are trying to complete ethics and grant applications. 2026-02-03 20:30:00 UTC 2026-02-04 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Excel Methods for Power & Sample Size with Centre for Applied Statistics Courses (CASC), University College London

  3 - 4 February 2026

  Excel Methods for Power & Sample Size with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/excel-methods-for-power-and-sample-size?utm_source=dresa https://dresa.org.au/events/excel-methods-for-power-sample-size-with-centre-for-applied-statistics-courses-casc-university-college-london-5b929c29-d443-4e68-b0da-16f9c2a525d3 The "Excel Methods for Power & Sample Size" workshop by the Centre for Applied Statistics Courses (CASC) at University College London is a comprehensive seminar designed to equip researchers with the necessary skills to conduct robust research. The seminar gives the basics of sample size estimation and will be of use to those embarking on a research project, and to those who are trying to complete ethics and grant applications. 2026-02-03 20:30:00 UTC 2026-02-04 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Chi-Square and Beyond for 2x2 Tables with Centre for Applied Statistics Courses (CASC), University College London

  20 - 21 February 2026

  Chi-Square and Beyond for 2x2 Tables with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/chi-square-and-beyond-for-2x2-tables?utm_source=dresa https://dresa.org.au/events/chi-square-and-beyond-for-2x2-tables-with-centre-for-applied-statistics-courses-casc-university-college-london The "Chi-Square and Beyond for 2x2 Tables" workshop by the Centre for Applied Statistics Courses (CASC) at University College London offers a comprehensive understanding of the chi-square test and its advanced applications. The workshop is designed for PhD students, professors, and professional researchers, providing a balance of theoretical knowledge and practical application, enhancing research capabilities and broadening the statistical toolkit. The seminar demystifies the range of statistics that can be used to summarise the associations between two binary variables, moving on from standard chi-square test to investigate other options that may yield more useful information. 2026-02-20 20:30:00 UTC 2026-02-21 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Assessing Reliability and Validity with Centre for Applied Statistics Courses (CASC), University College London

  23 - 24 March 2026

  Assessing Reliability and Validity with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/?utm_source=dresa https://dresa.org.au/events/assessing-reliability-and-validity-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, provides a comprehensive understanding of reliability and validity in academic research. The seminar offers an introduction to the principles, methods of assessment, and the appropriateness of statistical analyses for different types of measurement validity and reliability. Particular focus is given to statistical assessment of reliability over time, contexts and raters. 2026-03-23 20:30:00 UTC 2026-03-24 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Introduction to Survival Analysis & Cox Regression with Centre for Applied Statistics Courses (CASC), University College London

  3 - 4 March 2026

  Introduction to Survival Analysis & Cox Regression with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/introduction-to-survival-analysis-and-co?utm_source=dresa https://dresa.org.au/events/introduction-to-survival-analysis-cox-regression-with-centre-for-applied-statistics-courses-casc-university-college-london This seminar offers a complete introduction to survival analysis, also known as time-to-event data modeling. Log-rank tests, Cox proportional hazard regression models and other key topics will be covered in depth to determine associations between predictors and event occurrence. 2026-03-03 20:30:00 UTC 2026-03-04 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Introduction to Spatial Econometrics with Edward Goldring, School of Social and Political Sciences, University of Melbourne

  3 - 5 June 2026

  Introduction to Spatial Econometrics with Edward Goldring, School of Social and Political Sciences, University of Melbourne https://instats.org/seminar/introduction-to-spatial-econometrics?utm_source=dresa https://dresa.org.au/events/introduction-to-spatial-econometrics-with-edward-goldring-school-of-social-and-political-sciences-university-of-melbourne-af6f0d3a-7316-4f8e-a87d-e461920c0688 This seminar provides the knowledge and tools to apply spatial econometric models, addressing how crucial spatial dynamics in politics are often omitted from standard statistical analysis. It is a hands-on seminar where participants will gain practical experience estimating these models to help them answer theoretically significant and policy-relevant questions. 2026-06-03 10:00:00 UTC 2026-06-05 14:00:00 UTC Edward Goldring, School of Social and Political Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []

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

  3 - 4 February 2026

  Power and Sample Size in Excel with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/excel-methods-for-power-and-sample-size?utm_source=dresa https://dresa.org.au/events/power-and-sample-size-in-excel-with-centre-for-applied-statistics-courses-casc-university-college-london The "Excel Methods for Power & Sample Size" workshop by the Centre for Applied Statistics Courses (CASC) at University College London is a comprehensive seminar designed to equip researchers with the necessary skills to conduct robust research. The seminar gives the basics of sample size estimation and will be of use to those embarking on a research project, and to those who are trying to complete ethics and grant applications. 2026-02-03 20:30:00 UTC 2026-02-04 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Survival Analysis and Cox Regression with Centre for Applied Statistics Courses (CASC), University College London

  3 - 4 March 2026

  Survival Analysis and Cox Regression with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/introduction-to-survival-analysis-and-co?utm_source=dresa https://dresa.org.au/events/survival-analysis-and-cox-regression-with-centre-for-applied-statistics-courses-casc-university-college-london This seminar offers a complete introduction to survival analysis, also known as time-to-event data modeling. Log-rank tests, Cox proportional hazard regression models and other key topics will be covered in depth to determine associations between predictors and event occurrence. 2026-03-03 20:30:00 UTC 2026-03-04 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London 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://instats.org/seminar/ai-powered-business-analytics-for-resear?utm_source=dresa 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 []

• AI-Era Career Journey and Tips with Kelly Zou, AI4Purpose Inc.

  28 February 2026

  AI-Era Career Journey and Tips with Kelly Zou, AI4Purpose Inc. https://instats.org/seminar/ai-era-career-journey-and-tips?utm_source=dresa https://dresa.org.au/events/ai-era-career-journey-and-tips-with-kelly-zou-ai4purpose-inc This workshop offers a high-level overview of big data, digital health, and AI alongside practical career guidance for statisticians and data scientists. Participants will explore key data modalities and emerging AI directions, and gain insights into AI-era career pathways, networking, conferences, and professional visibility across academic and industry contexts. 2026-02-28 04:00:00 UTC 2026-02-28 07:30:00 UTC Kelly Zou, AI4Purpose Inc. Instats info@instats.org [] [] [] open_to_all []

• AI-Era Career Journey and Tips (Free Seminar) with Kelly Zou, AI4Purpose Inc.

  28 February 2026

  AI-Era Career Journey and Tips (Free Seminar) with Kelly Zou, AI4Purpose Inc. https://instats.org/seminar/ai-era-career-journey-and-tips?utm_source=dresa https://dresa.org.au/events/ai-era-career-journey-and-tips-free-seminar-with-kelly-zou-ai4purpose-inc This workshop offers a high-level overview of big data, digital health, and AI alongside practical career guidance for statisticians and data scientists. Participants will explore key data modalities and emerging AI directions, and gain insights into AI-era career pathways, networking, conferences, and professional visibility across academic and industry contexts. 2026-02-28 04:00:00 UTC 2026-02-28 07:30:00 UTC Kelly Zou, AI4Purpose Inc. 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

  10 February - 12 March 2026

  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://instats.org/seminar/introduction-to-mixed-methods-research-f-1?utm_source=dresa 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-4dfd4b30-894f-4caf-bf79-4fe445a35bf4 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. 2026-02-10 01:30:00 UTC 2026-03-12 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 []

• 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://instats.org/seminar/using-experiments-in-applied-economics?utm_source=dresa 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 []

• Supply Chain Demand Prediction with Python with Isik Bicer, Schulich School of Business, York University

  20 - 24 January 2026

  Supply Chain Demand Prediction with Python with Isik Bicer, Schulich School of Business, York University https://instats.org/seminar/supply-chain-demand-prediction-with-pyth?utm_source=dresa https://dresa.org.au/events/supply-chain-demand-prediction-with-python-with-isik-bicer-schulich-school-of-business-york-university This workshop brings together statistics, machine learning, and operations research to address modern demand‑forecasting challenges through rigorous theory and hands‑on Python practice covering tailored regression and regularization, time‑series methods, probabilistic forecasting, classification for product selection, and simulation‑based uncertainty modeling. Aimed at PhD students, faculty, and researchers, it trains participants to build reproducible, research‑ready Python implementations, apply principled model evaluation and experimental design, and produce simulation and empirical studies suitable for dissertation work and peer‑reviewed publication. 2026-01-20 02:00:00 UTC 2026-01-24 03:30:00 UTC Isik Bicer, Schulich School of Business, York University Instats info@instats.org [] [] [] open_to_all []

• Demand Prediction with Python with Isik Bicer, Schulich School of Business, York University

  20 - 24 January 2026

  Demand Prediction with Python with Isik Bicer, Schulich School of Business, York University https://instats.org/seminar/supply-chain-demand-prediction-with-pyth?utm_source=dresa https://dresa.org.au/events/demand-prediction-with-python-with-isik-bicer-schulich-school-of-business-york-university This workshop brings together statistics, machine learning, and operations research to address modern demand‑forecasting challenges through rigorous theory and hands‑on Python practice covering tailored regression and regularization, time‑series methods, probabilistic forecasting, classification for product selection, and simulation‑based uncertainty modeling. Aimed at PhD students, faculty, and researchers, it trains participants to build reproducible, research‑ready Python implementations, apply principled model evaluation and experimental design, and produce simulation and empirical studies suitable for dissertation work and peer‑reviewed publication. 2026-01-20 02:00:00 UTC 2026-01-24 03:30:00 UTC Isik Bicer, Schulich School of Business, York University Instats info@instats.org [] [] [] open_to_all []

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

  28 January - 25 February 2026

  Researching Crowdfunding with Douglas Cumming, College of Business, Florida Atlantic University https://instats.org/seminar/researching-crowdfunding?utm_source=dresa https://dresa.org.au/events/researching-crowdfunding-with-douglas-cumming-college-of-business-florida-atlantic-university-2228dbf7-e45f-4ada-9c84-3dbc88f6a41f 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. 2026-01-28 08:00:00 UTC 2026-02-25 11:00:00 UTC Douglas Cumming, College of Business, Florida Atlantic University Instats info@instats.org [] [] [] open_to_all []

• Causal AI for Real-World Data with Andy Wilson, Spencer Fox Eccles School of Medicine, University of Utah

  20 January 2026

  Causal AI for Real-World Data with Andy Wilson, Spencer Fox Eccles School of Medicine, University of Utah https://instats.org/seminar/causal-ai-for-real-world-data?utm_source=dresa https://dresa.org.au/events/causal-ai-for-real-world-data-with-andy-wilson-spencer-fox-eccles-school-of-medicine-university-of-utah Causal AI for Real-World Data provides a compact, rigorous, hands‑on treatment of contemporary causal inference, guiding researchers from question specification and DAG‑based identification to defensible estimation and sensitivity analysis of observational health data. Participants will learn to apply the Causal Roadmap and implement state‑of‑the‑art tools in R and Python — including DAG construction and causal discovery, propensity methods, g‑computation, TMLE with SuperLearner, double machine learning, and VAE‑based generative validation — and leave with reproducible artifacts to support transparent, peer‑reviewable causal claims. 2026-01-20 14:00:44 UTC 2026-01-20 20:00:44 UTC Andy Wilson, Spencer Fox Eccles School of Medicine, University of Utah Instats info@instats.org [] [] [] open_to_all []

• Causal AI for Real-World Data with Andy Wilson, Spencer Fox Eccles School of Medicine, University of Utah

  21 January 2026

  Causal AI for Real-World Data with Andy Wilson, Spencer Fox Eccles School of Medicine, University of Utah https://instats.org/seminar/causal-ai-for-real-world-data?utm_source=dresa https://dresa.org.au/events/causal-ai-for-real-world-data-with-andy-wilson-spencer-fox-eccles-school-of-medicine-university-of-utah-75820d48-0fb6-4c66-af9a-dda464ce62b2 Causal AI for Real-World Data provides a compact, rigorous, hands‑on treatment of contemporary causal inference, guiding researchers from question specification and DAG‑based identification to defensible estimation and sensitivity analysis of observational health data. Participants will learn to apply the Causal Roadmap and implement state‑of‑the‑art tools in R and Python — including DAG construction and causal discovery, propensity methods, g‑computation, TMLE with SuperLearner, double machine learning, and VAE‑based generative validation — and leave with reproducible artifacts to support transparent, peer‑reviewable causal claims. 2026-01-21 03:00:00 UTC 2026-01-21 07:30:00 UTC Andy Wilson, Spencer Fox Eccles School of Medicine, University of Utah Instats info@instats.org [] [] [] open_to_all []

• Causal AI for Real-World Data with Andy Wilson, Spencer Fox Eccles School of Medicine, University of Utah

  20 January 2026

  Causal AI for Real-World Data with Andy Wilson, Spencer Fox Eccles School of Medicine, University of Utah https://instats.org/seminar/causal-ai-for-real-world-data?utm_source=dresa https://dresa.org.au/events/causal-ai-for-real-world-data-with-andy-wilson-spencer-fox-eccles-school-of-medicine-university-of-utah-2cda1071-5775-4279-a680-b1f8ed1ffc30 Causal AI for Real-World Data provides a compact, rigorous, hands‑on treatment of contemporary causal inference, guiding researchers from question specification and DAG‑based identification to defensible estimation and sensitivity analysis of observational health data. Participants will learn to apply the Causal Roadmap and implement state‑of‑the‑art tools in R and Python — including DAG construction and causal discovery, propensity methods, g‑computation, TMLE with SuperLearner, double machine learning, and VAE‑based generative validation — and leave with reproducible artifacts to support transparent, peer‑reviewable causal claims. 2026-01-20 03:00:00 UTC 2026-01-20 07:30:00 UTC Andy Wilson, Spencer Fox Eccles School of Medicine, University of Utah Instats info@instats.org [] [] [] open_to_all []

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

  3 - 6 February 2026

  Foundations of Statistical Models and Linear Regression with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/foundations-of-statistical-models-and-li?utm_source=dresa https://dresa.org.au/events/foundations-of-statistical-models-and-linear-regression-with-centre-for-applied-statistics-courses-casc-university-college-london-975b5f50-1bed-46bd-9d86-3afae377c6c2 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. 2026-02-03 20:30:00 UTC 2026-02-06 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

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

  16 - 17 February 2026

  Introduction to Logistic Regression with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/introduction-to-logistic-regression-2?utm_source=dresa https://dresa.org.au/events/introduction-to-logistic-regression-with-centre-for-applied-statistics-courses-casc-university-college-london-f4baa012-2d03-4f6b-86e5-90b3c7d1c2fa This one-day seminar provides a comprehensive introduction to logistic regression, a critical technique for analyzing binary outcome variables in various research fields. Participants will gain practical skills in data preparation, model fitting, and the interpretation of logistic regression outputs, enhancing their ability to tackle complex data analysis challenges in their academic work. 2026-02-16 20:30:00 UTC 2026-02-17 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

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

  17 - 18 February 2026

  Power and Sample Size in Excel with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/power-and-sample-size-in-excel?utm_source=dresa https://dresa.org.au/events/power-and-sample-size-in-excel-with-centre-for-applied-statistics-courses-casc-university-college-london-888222cc-c449-4104-8c26-40cdc6a1e3b2 This seminar is designed to equip researchers with the necessary skills to conduct robust research by calculating power and sample size. The seminar covers the basics of sample size estimation and power analysis, and will be of use to those embarking on a new research project as well as those who are trying to complete ethics and grant applications. 2026-02-17 20:30:00 UTC 2026-02-18 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

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

  23 - 26 February 2026

  Dealing with Missing Data with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/dealing-with-missing-data?utm_source=dresa https://dresa.org.au/events/dealing-with-missing-data-with-centre-for-applied-statistics-courses-casc-university-college-london-961b760d-0db3-4368-8431-0c97f9b648ec This seminar provides a comprehensive introduction to dealing with missing data in research, covering essential concepts such as the types and reasons behind missing data, and effective/popular methods for addressing these issues, including multiple imputation and listwise deletion. Participants will enhance their analytical skills through a combination of theoretical knowledge and practical application, improving the credibility and reliability of their research findings. 2026-02-23 20:30:00 UTC 2026-02-26 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Chi-Square and Beyond for 2x2 Tables with Centre for Applied Statistics Courses (CASC), University College London

  27 February 2026

  Chi-Square and Beyond for 2x2 Tables with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/chi-square-and-beyond-for-2x2-tables?utm_source=dresa https://dresa.org.au/events/chi-square-and-beyond-for-2x2-tables-with-centre-for-applied-statistics-courses-casc-university-college-london-33ed15b9-e3b2-44ae-ac14-072ff41acb19 This workshop offers a comprehensive understanding of the chi-square test and its advanced applications. The workshop is designed for PhD students, professors, and professional researchers, providing a balance of theoretical knowledge and practical application, enhancing research capabilities and broadening the statistical toolkit. The seminar demystifies the range of statistics that can be used to summarise the associations between two binary variables, moving on from standard chi-square test to investigate other options that may yield more useful information. 2026-02-27 20:30:00 UTC 2026-02-27 21:30:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• Egocentric Social Network Analysis with Bryce Hughes, Adult and Higher Education, Montana State University

  24 - 25 January 2026

  Egocentric Social Network Analysis with Bryce Hughes, Adult and Higher Education, Montana State University https://instats.org/seminar/egocentric-social-network-analysis?utm_source=dresa https://dresa.org.au/events/egocentric-social-network-analysis-with-bryce-hughes-adult-and-higher-education-montana-state-university This two-day hands-on workshop introduces researchers to egocentric social network analysis (SNA) using Stata, combining conceptual foundations with practical applications. Participants will work with real survey data and case studies to design ego-network surveys, clean and analyze data, compute key network metrics, and integrate them into regression models. Supplementary annotated code and resources, including examples of advanced techniques, will also be provided. 2026-01-24 05:00:00 UTC 2026-01-25 10:00:00 UTC Bryce Hughes, Adult and Higher Education, Montana State University Instats info@instats.org [] [] [] open_to_all []

• Qualitative Data Collection Techniques with Özge Altin, Institute for Statistical and Data Science

  3 - 6 February 2026

  Qualitative Data Collection Techniques with Özge Altin, Institute for Statistical and Data Science https://instats.org/seminar/?utm_source=dresa https://dresa.org.au/events/qualitative-data-collection-techniques-with-ozge-altin-institute-for-statistical-and-data-science This 4-day live online workshop teaches advanced qualitative data-collection techniques—interviews, focus groups, and observation—and the ethical and epistemological choices that shape data quality. Participants will gain practical skills, documentation templates, and reflexive strategies tailored to PhD students, early-career researchers, and academic staff. 2026-02-03 01:00:00 UTC 2026-02-06 03:30:00 UTC Özge Altin, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

• Qualitative Data Collection Techniques with Özge Altin, Institute for Statistical and Data Science

  3 - 6 February 2026

  Qualitative Data Collection Techniques with Özge Altin, Institute for Statistical and Data Science https://instats.org/seminar/qualitative-data-collection-techniques?utm_source=dresa https://dresa.org.au/events/qualitative-data-collection-techniques-with-ozge-altin-institute-for-statistical-and-data-science-1e070a0d-4b7b-4a36-bf2f-26452e8d6780 This 4-day live online workshop teaches advanced qualitative data-collection techniques—interviews, focus groups, and observation—and the ethical and epistemological choices that shape data quality. Participants will gain practical skills, documentation templates, and reflexive strategies tailored to PhD students, early-career researchers, and academic staff. 2026-02-03 01:00:00 UTC 2026-02-06 03:30:00 UTC Özge Altin, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

• Machine Learning for Propensity Scores (Free Seminar) with Ehsan Karim, School of Population and Public Health, University of British Columbia

  18 February 2026

  Machine Learning for Propensity Scores (Free Seminar) with Ehsan Karim, School of Population and Public Health, University of British Columbia https://instats.org/seminar/?utm_source=dresa https://dresa.org.au/events/machine-learning-for-propensity-scores-free-seminar-with-ehsan-karim-school-of-population-and-public-health-university-of-british-columbia This two-hour live online workshop teaches the hdPS algorithm, as well as contemporary machine-learning and double-robust extensions for controlling residual confounding in administrative health data. The seminar combines conceptual foundations with reproducible R code and practical guidance on sensitivity analyses and reporting for publication. 2026-02-18 04:00:00 UTC 2026-02-18 06:00:00 UTC Ehsan Karim, School of Population and Public Health, University of British Columbia 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://instats.org/seminar/ethnography-in-risky-settings?utm_source=dresa 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 []

• Foundations of Research Design and Data Science 2.0 with Centre for Applied Statistics Courses (CASC), University College London

  19 - 24 January 2026

  Foundations of Research Design and Data Science 2.0 with Centre for Applied Statistics Courses (CASC), University College London https://instats.org/seminar/foundations-of-research-design-and-data-1?utm_source=dresa https://dresa.org.au/events/foundations-of-research-design-and-data-science-2-0-with-centre-for-applied-statistics-courses-casc-university-college-london This intensive 5-day workshop 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. 2026-01-19 20:30:00 UTC 2026-01-24 04:00:00 UTC Centre for Applied Statistics Courses (CASC), University College London Instats info@instats.org [] [] [] open_to_all []

• ChatGPT with Stata: Regression Analysis (Part I) with Tor Georg Jakobsen, Norwegian University of Science and Technology

  23 - 25 March 2026

  ChatGPT with Stata: Regression Analysis (Part I) with Tor Georg Jakobsen, Norwegian University of Science and Technology https://instats.org/seminar/chatgpt-with-stata-regression-analysis-p-2?utm_source=dresa https://dresa.org.au/events/chatgpt-with-stata-regression-analysis-part-i-with-tor-georg-jakobsen-norwegian-university-of-science-and-technology This workshop provides a comprehensive introduction to regression techniques essential for social science research. Participants will learn both theoretical and practical aspects of regression analysis, including OLS regression and dummy variables, using the statistical software Stata. It features hands-on exercises, detailed instructions, and AI-powered assistance from ChatGPT to clarify concepts and troubleshoot commands. Ideal for beginners, this course lays a solid foundation for mastering advanced statistical methods. 2026-03-23 19:00:00 UTC 2026-03-25 23:00:00 UTC Tor Georg Jakobsen, Norwegian University of Science and Technology Instats info@instats.org [] [] [] open_to_all []

• Regression (with ChatGPT & Stata) 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology

  23 - 25 March 2026

  Regression (with ChatGPT & Stata) 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology https://instats.org/seminar/chatgpt-with-stata-regression-analysis-p-2?utm_source=dresa https://dresa.org.au/events/regression-with-chatgpt-stata-2-0-with-tor-georg-jakobsen-norwegian-university-of-science-and-technology This workshop provides a comprehensive introduction to regression techniques essential for social science research. Participants will learn both theoretical and practical aspects of regression analysis, including OLS regression and dummy variables, using the statistical software Stata. It features hands-on exercises, detailed instructions, and AI-powered assistance from ChatGPT to clarify concepts and troubleshoot commands. Ideal for beginners, this course lays a solid foundation for mastering advanced statistical methods. 2026-03-23 19:00:00 UTC 2026-03-25 23:00:00 UTC Tor Georg Jakobsen, Norwegian University of Science and Technology Instats info@instats.org [] [] [] open_to_all []

• Advanced Regression (with ChatGPT & Stata) 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology

  13 - 15 April 2026

  Advanced Regression (with ChatGPT & Stata) 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology https://instats.org/seminar/?utm_source=dresa https://dresa.org.au/events/advanced-regression-with-chatgpt-stata-2-0-with-tor-georg-jakobsen-norwegian-university-of-science-and-technology This comprehensive 3-day workshop focuses on refining statistical modeling and regression analysis skills by integrating advanced AI tools like ChatGPT with traditional software such as Stata. Participants will gain practical competencies in various regression techniques, including interaction effects (or 'moderation'), logistic regression, missing data, scale construction, transformations, weighting, and how to deal with regression assumptions, along with AI-powered assistance from ChatGPT to clarify concepts and troubleshoot commands. 2026-04-13 17:00:00 UTC 2026-04-15 21:00:00 UTC Tor Georg Jakobsen, Norwegian University of Science and Technology Instats info@instats.org [] [] [] open_to_all []

• Advanced Regression (with ChatGPT & Stata) 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology

  13 - 15 April 2026

  Advanced Regression (with ChatGPT & Stata) 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology https://instats.org/seminar/advanced-regression-with-chatgpt-and-sta?utm_source=dresa https://dresa.org.au/events/advanced-regression-with-chatgpt-stata-2-0-with-tor-georg-jakobsen-norwegian-university-of-science-and-technology-0c40e66c-820a-42bf-9c2a-2286c3213842 This comprehensive 3-day workshop focuses on refining statistical modeling and regression analysis skills by integrating advanced AI tools like ChatGPT with traditional software such as Stata. Participants will gain practical competencies in various regression techniques, including interaction effects (or 'moderation'), logistic regression, missing data, scale construction, transformations, weighting, and how to deal with regression assumptions, along with AI-powered assistance from ChatGPT to clarify concepts and troubleshoot commands. 2026-04-13 17:00:00 UTC 2026-04-15 21:00:00 UTC Tor Georg Jakobsen, Norwegian University of Science and Technology Instats info@instats.org [] [] [] open_to_all []

• Advanced Regression with ChatGPT and Stata 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology

  13 - 15 April 2026

  Advanced Regression with ChatGPT and Stata 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology https://instats.org/seminar/advanced-regression-with-chatgpt-and-sta?utm_source=dresa https://dresa.org.au/events/advanced-regression-with-chatgpt-and-stata-2-0-with-tor-georg-jakobsen-norwegian-university-of-science-and-technology This comprehensive 3-day workshop focuses on refining statistical modeling and regression analysis skills by integrating advanced AI tools like ChatGPT with traditional software such as Stata. Participants will gain practical competencies in various regression techniques, including interaction effects (or 'moderation'), logistic regression, missing data, scale construction, transformations, weighting, and how to deal with regression assumptions, along with AI-powered assistance from ChatGPT to clarify concepts and troubleshoot commands. 2026-04-13 17:00:00 UTC 2026-04-15 21:00:00 UTC Tor Georg Jakobsen, Norwegian University of Science and Technology Instats info@instats.org [] [] [] open_to_all []

• Regression with ChatGPT and Stata 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology

  23 - 25 March 2026

  Regression with ChatGPT and Stata 2.0 with Tor Georg Jakobsen, Norwegian University of Science and Technology https://instats.org/seminar/regression-with-chatgpt-and-stata-20?utm_source=dresa https://dresa.org.au/events/regression-with-chatgpt-and-stata-2-0-with-tor-georg-jakobsen-norwegian-university-of-science-and-technology This workshop provides a comprehensive introduction to regression techniques essential for social science research. Participants will learn both theoretical and practical aspects of regression analysis, including OLS regression and dummy variables, using the statistical software Stata. It features hands-on exercises, detailed instructions, and AI-powered assistance from ChatGPT to clarify concepts and troubleshoot commands. Ideal for beginners, this course lays a solid foundation for mastering advanced statistical methods. 2026-03-23 19:00:00 UTC 2026-03-25 23:00:00 UTC Tor Georg Jakobsen, Norwegian University of Science and Technology Instats info@instats.org [] [] [] open_to_all []

• South Asian Nationalisms with International Association for Political Science Students,

  3 February - 7 April 2026

  South Asian Nationalisms with International Association for Political Science Students, https://instats.org/seminar/south-asian-nationalisms?utm_source=dresa https://dresa.org.au/events/south-asian-nationalisms-with-international-association-for-political-science-students This live online workshop critically interrogates the theories, tenants, and contemporary trends of nationalism across the South Asian subcontinent. Delivered over ten weeks, the seminar combines conceptual exposition, illustrative case studies, and discussion to support participants’ empirical research and publication goals. 2026-02-03 01:00:00 UTC 2026-04-07 01:30:00 UTC International Association for Political Science Students, Instats info@instats.org [] [] [] open_to_all []

• RNA-seq: From Counts to Conclusions with Estefania Mancini, Josep Carreras Leukaemia Research Institute

  20 - 25 April 2026

  RNA-seq: From Counts to Conclusions with Estefania Mancini, Josep Carreras Leukaemia Research Institute https://instats.org/seminar/?utm_source=dresa https://dresa.org.au/events/rna-seq-from-counts-to-conclusions-with-estefania-mancini-josep-carreras-leukaemia-research-institute This practical, statistically rigorous workshop introduces end-to-end RNA-seq analysis in R/Bioconductor, covering quality control, alignment and quantification strategies, count import and annotation, normalization and differential expression (edgeR/DESeq2), batch correction, visualization, and gene set/pathway analysis. Through hands-on RStudio sessions with annotated scripts and reproducible RMarkdown templates, participants will build reproducible pipelines and learn to interpret and present results for publication 2026-04-20 22:00:00 UTC 2026-04-25 02:00:00 UTC Estefania Mancini, Josep Carreras Leukaemia Research Institute Instats info@instats.org [] [] [] open_to_all []