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

    9 - 11 December 2025

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

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

    6 - 8 November 2025

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

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

    12 December 2025

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

  • Model Selection and Model Simplification with PR Stats,

    6 - 7 November 2025

    Model Selection and Model Simplification with PR Stats, https://dresa.org.au/events/model-selection-and-model-simplification-with-pr-stats This intensive workshop provides theoretical foundations and hands-on R implementation for evaluating, comparing, selecting, and simplifying statistical models across linear, generalized linear, and mixed‑effects frameworks. Participants will learn to assess fit and predictive performance, implement penalised regression and model‑averaging, avoid overfitting with cross‑validation, and produce reproducible model‑selection workflows suitable for thesis chapters, journal articles, and applied research. 2025-11-06 01:00:00 UTC 2025-11-07 05:00:00 UTC PR Stats, Instats info@instats.org [] [] [] open_to_all []

  • Introduction to Spatial Data Analysis with PR Stats,

    18 - 22 November 2025

    Introduction to Spatial Data Analysis with PR Stats, https://dresa.org.au/events/introduction-to-spatial-data-analysis-with-pr-stats This workshop equips researchers with practical and conceptual tools for rigorous spatial analysis in R, covering the modern spatial stack (sf, terra, tmap/ggplot2, spatialreg, mgcv, gstat) and workflows from exploratory mapping to interpolation, spatial regression, and predictive modelling. Combining hands‑on data hygiene (CRS handling, raster alignment, spatial joins, map production) with theory (autocorrelation, variograms, kriging, SAR/SEM, spatial GLMs) you will learn to diagnose spatial dependence, validate models with spatial cross‑validation, and produce reproducible pipelines and publication‑quality outputs for thesis or manuscripts. 2025-11-18 00:00:00 UTC 2025-11-22 06:00:00 UTC PR Stats, Instats info@instats.org [] [] [] open_to_all []

  • Zero-Inflated Models with PR Stats,

    2 December 2025

    Zero-Inflated Models with PR Stats, https://dresa.org.au/events/zero-inflated-models-with-pr-stats This intensive, hands‑on workshop teaches rigorous theory and practical implementation for modelling zero‑inflated and overdispersed count data, covering Poisson and its extensions (Negative Binomial, Generalised Poisson, Conway–Maxwell Poisson), zero‑inflated (ZIP/ZINB) and hurdle approaches, and related model choices in R and RStudio. Participants will learn to distinguish structural versus sampling zeros, fit and compare models with tools like pscl and glmmTMB, diagnose and validate fits using DHARMa, and build reproducible workflows and predictive pipelines with ggplot2, caret, and tidymodels for research‑ready inference and communication. 2025-12-02 01:00:00 UTC 2025-12-02 07:00:00 UTC PR Stats, Instats info@instats.org [] [] [] open_to_all []

  • Generalised Linear Models using R with PR Stats,

    13 - 17 January 2026

    Generalised Linear Models using R with PR Stats, https://dresa.org.au/events/generalised-linear-models-using-r-with-pr-stats Generalised Linear Models using R is an intensive workshop for PhD students, professors and researchers that combines statistical theory with hands‑on R/RStudio practice to analyse non‑normal data—including counts, binary outcomes, proportions, categorical responses and skewed non‑negative variables. You will learn to fit, diagnose and interpret GLMs (Poisson, negative binomial, logistic, multinomial/ordinal, Gamma), apply extensions like zero‑inflation, mixed‑effects and Bayesian models (e.g., brms), and produce reproducible, publication‑quality code, figures and reporting for research outputs. 2026-01-13 01:00:00 UTC 2026-01-17 07:00:00 UTC PR Stats, Instats info@instats.org [] [] [] open_to_all []

  • Tree-Based Models with PR Stats,

    3 December 2025

    Tree-Based Models with PR Stats, https://dresa.org.au/events/tree-based-models-with-pr-stats This workshop introduces decision trees and ensemble methods—bagging, random forests, and boosting—and shows how to implement, tune, and interpret tree-based models using R and RStudio for real research problems. Aimed at PhD students, faculty, and applied researchers, it covers CART fundamentals, pruning and hyperparameter tuning, xgboost/lightgbm, model evaluation (cross-validation and out-of-bag error), interpretability tools (variable importance, partial dependence, SHAP), and reproducible workflows for publication-ready analyses. 2025-12-03 01:00:00 UTC 2025-12-03 07:00:00 UTC PR Stats, Instats info@instats.org [] [] [] open_to_all []

  • Data Visualisation in R using ggplot2 with PR Stats,

    4 - 6 December 2025

    Data Visualisation in R using ggplot2 with PR Stats, https://dresa.org.au/events/data-visualisation-in-r-using-ggplot2-with-pr-stats A focused workshop for PhD students, professors, and professional researchers that blends the principles of effective visualisation with hands-on R and RStudio training so participants can create transparent, reproducible, publication-quality figures using ggplot2. You will learn tidyverse workflows and the ggplot2 Grammar of Graphics to build and customise core plot types (scatterplots, histograms, bar charts, boxplots, density and line plots), two-dimensional and geospatial displays (heatmaps, choropleths), and advanced techniques for scales, themes, faceting, smoothing, labelling, combining panels, and exporting figures for academic publishing. 2025-12-04 01:00:00 UTC 2025-12-06 05:00:00 UTC PR Stats, 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 []

  • Pollution and Health: From Data to Evidence with Michael Cork, T.H. Chan School of Public Health, Harvard University

    5 December 2025

    Pollution and Health: From Data to Evidence with Michael Cork, T.H. Chan School of Public Health, Harvard University https://dresa.org.au/events/pollution-and-health-from-data-to-evidence-with-michael-cork-t-h-chan-school-of-public-health-harvard-university How do researchers turn air-quality data into actionable evidence for public-health policy? This seminar unpacks the tools that help scientists understand how pollution affects health—focusing on the shape of the exposure–response curve (ERC), which links pollutant levels to health outcomes. Drawing on recent published work, Michael Cork, MPH (PhD Candidate, Harvard T.H. Chan School of Public Health) shows how different modeling choices—from flexible regression to modern causal-inference approaches—can lead to different conclusions about what levels of pollution are deemed “safe.” Designed for an interdisciplinary audience, the session highlights intuition over math, offering a practical guide to understanding bias, confounding, and uncertainty in real-world environmental data. Participants will come away with a clear, approachable understanding of how to interpret exposure–response curves, choose appropriate methods, and communicate results that can inform smarter, evidence-based health and environmental policy. 2025-12-05 04:00:00 UTC 2025-12-05 05:00:00 UTC Michael Cork, T.H. Chan School of Public Health, Harvard University 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 []

  • Dimensionality Reduction with UMAP and Beyond 2.0 with Nikolay Oskolkov, Group Leader (PI) at LIOS

    26 November 2025

    Dimensionality Reduction with UMAP and Beyond 2.0 with Nikolay Oskolkov, Group Leader (PI) at LIOS https://dresa.org.au/events/dimensionality-reduction-with-umap-and-beyond-2-0-with-nikolay-oskolkov-group-leader-pi-at-lios This seminar provides a comprehensive overview of dimension reduction techniques in R and Python for high-dimensional complex datasets, focusing on their practical applications. Participants will gain theoretical knowledge and practical experience in linear and nonlinear methods such as PCA, tSNE and UMAP. By the conclusion of the seminar, participants will understand the theoretical and practical foundations of these methods, with a wealth of examples that can be rapidly applied for their own research problems. 2025-11-26 00:00:00 UTC 2025-11-26 06:00:00 UTC Nikolay Oskolkov, Group Leader (PI) at LIOS Instats info@instats.org [] [] [] open_to_all []

  • 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 []

  • 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 []

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

    15 November 2025

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

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

    15 November 2025

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

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

    11 - 13 February 2026

    Longitudinal Data Analysis and Growth Curve Models with Department of Epidemiology and Public Health, University College London https://dresa.org.au/events/longitudinal-data-analysis-and-growth-curve-models-with-department-of-epidemiology-and-public-health-university-college-london This two-day workshop provides a comprehensive exploration of mixed models and growth curves, focusing on the practical application of these methods in Stata and R for analyzing longitudinal data. Participants will gain essential skills in specifying, fitting, and interpreting mixed models, enhancing their research capabilities in fields such as psychology, sociology, and public health. 2026-02-11 20:00:00 UTC 2026-02-13 00:00:00 UTC Department of Epidemiology and Public Health, University College London Instats info@instats.org [] [] [] open_to_all []

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

    26 - 27 November 2025

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

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

    18 - 20 December 2025

    ChatGPT for Machine Learning and AI with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/chatgpt-for-machine-learning-and-ai-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-2b5f2419-ab42-46ac-9fa0-b5b371c9d8d6 This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python and ChatGPT as a coding assistant. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in Python. 2025-12-18 22:00:00 UTC 2025-12-20 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

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

    26 - 27 November 2025

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

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

    11 - 13 December 2025

    ChatGPT for Machine Learning and AI with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/chatgpt-for-machine-learning-and-ai-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-66f46b01-0db5-42a9-bed0-5ea2e5153a7c This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python and ChatGPT as a coding assistant. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in Python. 2025-12-11 22:00:00 UTC 2025-12-13 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • Fundamentals of Python with Denis Dusseldorf, Institute for Statistical and Data Science

    8 - 11 December 2025

    Fundamentals of Python with Denis Dusseldorf, Institute for Statistical and Data Science https://dresa.org.au/events/fundamentals-of-python-with-denis-dusseldorf-institute-for-statistical-and-data-science This beginner-friendly workshop offers a practical introduction to Python, starting from scratch. You will cover core programming concepts before learning to handle numerical data with numpy, analyze data with pandas, and create figures with matplotlib. The hands-on format, featuring a final project, will prepare you to start your own data analysis journey. 2025-12-08 21:00:00 UTC 2025-12-11 03:00:00 UTC Denis Dusseldorf, Institute for Statistical and Data Science Instats info@instats.org [] [] [] open_to_all []

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

    5 December 2025

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

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

    5 December 2025

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

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

    18 November 2025

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

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

    13 November 2025

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

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

    5 - 10 December 2025

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

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

    12 December 2025

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

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

    11 - 13 December 2025

    ChatGPT for Machine Learning and AI with Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/chatgpt-for-machine-learning-and-ai-with-giovanni-cerulli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-7207f33b-cd04-4e1d-b3fa-109a3eb56df1 This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python and ChatGPT as a coding assistant. After introducing the subject, the seminar will cover the following methods: (i) model selection and regularization (Lasso, Ridge, Elastic-net); (ii) discriminant analysis and nearest-neighbor classification; and (iii) artificial neural networks. The course will offer various instructional examples using real datasets in Python. 2025-12-11 22:00:00 UTC 2025-12-13 04:00:00 UTC Giovanni Cerulli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

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

    8 - 12 December 2025

    Introduction to Spatial Econometrics with Edward Goldring, School of Social and Political Sciences, University of Melbourne https://dresa.org.au/events/introduction-to-spatial-econometrics-with-edward-goldring-school-of-social-and-political-sciences-university-of-melbourne 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. 2025-12-08 09:00:00 UTC 2025-12-12 11:00:00 UTC Edward Goldring, School of Social and Political Sciences, University of Melbourne Instats info@instats.org [] [] [] open_to_all []

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

    22 - 25 November 2025

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

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

    26 - 29 January 2026

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

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

    12 - 14 November 2025

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

  • Science Writing and Storytelling with Association for Psychological Science

    6 November 2025

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

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

    10 January 2026

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

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

    6 - 8 November 2025

    Social Network Analysis: from Basics to ERGM with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/social-network-analysis-from-basics-to-ergm-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides an in-depth exploration of Social Network Analysis using R, guiding participants from foundational concepts to advanced ERGM techniques. Participants will gain practical skills in network visualization, metrics calculation, and applying complex analytical methods to real-world datasets, enhancing their research capabilities across diverse academic fields. 2025-11-06 21:00:00 UTC 2025-11-08 02:00:00 UTC Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

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

    6 - 8 November 2025

    Social Network Analysis in R: from Basics to ERGM with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/social-network-analysis-in-r-from-basics-to-ergm-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr This seminar provides an in-depth exploration of Social Network Analysis using R, guiding participants from foundational concepts to advanced ERGM techniques. Participants will gain practical skills in network visualization, metrics calculation, and applying complex analytical methods to real-world datasets, enhancing their research capabilities across diverse academic fields. 2025-11-06 21:00:00 UTC 2025-11-08 02:00:00 UTC Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

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

    6 - 8 November 2025

    Social Network Analysis: From Basics to ERGM with Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) https://dresa.org.au/events/social-network-analysis-from-basics-to-ergm-with-antonio-zinilli-research-institute-on-sustainable-economic-growth-national-research-council-of-italy-cnr-55eaab28-8bd6-4895-b8d8-3ad0aea98c64 This seminar provides an in-depth exploration of Social Network Analysis using R, guiding participants from foundational concepts to advanced ERGM techniques. Participants will gain practical skills in network visualization, metrics calculation, and applying complex analytical methods to real-world datasets, enhancing their research capabilities across diverse academic fields. 2025-11-06 21:00:00 UTC 2025-11-08 02:00:00 UTC Antonio Zinilli, Research Institute on Sustainable Economic Growth, National Research Council of Italy (CNR) Instats info@instats.org [] [] [] open_to_all []

  • Pollution and Health: From Data to Evidence with Michael Cork, T.H. Chan School of Public Health, Harvard University

    5 December 2025

    Pollution and Health: From Data to Evidence with Michael Cork, T.H. Chan School of Public Health, Harvard University https://dresa.org.au/events/pollution-and-health-from-data-to-evidence-with-michael-cork-t-h-chan-school-of-public-health-harvard-university-8fea54e4-4016-4189-afe3-dcbacb2d8c75 This seminar unpacks how scientists turn air-quality data into health policy by focusing on the exposure–response curve (ERC), which links pollution levels to health outcomes. Drawing on recent work, the session shows how different modeling choices—from standard regression to causal inference—can lead to different conclusions about what pollution levels are deemed “safe.” The seminar emphasizes an intuitive, non-mathematical approach to understanding bias and uncertainty in environmental data to inform smarter, evidence-based policy. 2025-12-05 04:00:00 UTC 2025-12-05 05:00:00 UTC Michael Cork, T.H. Chan School of Public Health, Harvard University Instats info@instats.org [] [] [] open_to_all []

  • Pollution and Health: From Data to Evidence with Michael Cork, T.H. Chan School of Public Health, Harvard University

    5 December 2025

    Pollution and Health: From Data to Evidence with Michael Cork, T.H. Chan School of Public Health, Harvard University https://dresa.org.au/events/pollution-and-health-from-data-to-evidence-with-michael-cork-t-h-chan-school-of-public-health-harvard-university-b07774f4-6fe1-4d50-ae6c-9f5a7de58188 This interdisciplinary seminar unpacks how scientists turn air-quality data into health policy by focusing on the exposure–response curve (ERC), which links pollution levels to health outcomes. Drawing on recent work, the session shows how different modeling choices—from standard regression to causal inference—can lead to different conclusions about what pollution levels are deemed “safe.” The seminar emphasizes an intuitive, non-mathematical approach to understanding bias and uncertainty in environmental data to inform smarter, evidence-based policy. 2025-12-05 04:00:00 UTC 2025-12-05 05:00:00 UTC Michael Cork, T.H. Chan School of Public Health, Harvard University Instats info@instats.org [] [] [] open_to_all []

  • Pollution and Health: From Data to Evidence with Michael Cork, T.H. Chan School of Public Health, Harvard University

    5 December 2025

    Pollution and Health: From Data to Evidence with Michael Cork, T.H. Chan School of Public Health, Harvard University https://dresa.org.au/events/pollution-and-health-from-data-to-evidence-with-michael-cork-t-h-chan-school-of-public-health-harvard-university-aa65c7ab-5a51-4bb5-86d4-1f48729041cc This interdisciplinary seminar unpacks how scientists turn air-quality data into health policy by focusing on the exposure–response curve (ERC), which links pollution levels to health outcomes. Drawing on recent work, the session shows how different modeling choices—from standard regression to causal inference—can lead to different conclusions about what pollution levels are deemed “safe.” [color=rgb(34, 34, 34)][highlight=rgb(255, 255, 255)]The seminar emphasizes an intuitive approach to understanding how statistical methods address bias and uncertainty when using environmental data to inform smarter, evidence-based policy.[/highlight][/color] 2025-12-05 04:00:00 UTC 2025-12-05 05:00:00 UTC Michael Cork, T.H. Chan School of Public Health, Harvard University Instats info@instats.org [] [] [] open_to_all []

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

    8 - 10 January 2026

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

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

    12 - 16 January 2026

    Introduction to Spatial Econometrics with Edward Goldring, School of Social and Political Sciences, University of Melbourne https://dresa.org.au/events/introduction-to-spatial-econometrics-with-edward-goldring-school-of-social-and-political-sciences-university-of-melbourne-004a7cca-e9df-48d8-b341-25be2afa5499 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. 2026-01-12 08:30:00 UTC 2026-01-16 10:30:00 UTC Edward Goldring, School of Social and Political Sciences, University of Melbourne 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 []

  • Quarto interactif avec Shiny with SMCS, Université Catholique de Louvain

    13 November 2025

    Quarto interactif avec Shiny with SMCS, Université Catholique de Louvain https://dresa.org.au/events/quarto-interactif-avec-shiny-with-smcs-universite-catholique-de-louvain Cet atelier d'une demi-journée "Quarto interactif avec Shiny" permet aux participants et participantes d'acquérir des compétences avancées dans la création de rapports interactifs et d'applications web à l'aide des outils R, Quarto et Shiny. Destiné aux chercheurs, chercheuses et universitaires, il offre une formation pratique pour transformer des données en applications innovantes, optimisant ainsi l'impact des recherches scientifiques. À l'issue de cet atelier, vous serez capables de créer des documents interactifs avec Quarto, intégrant des filtres, des graphiques dynamiques et des tableaux réactifs via Shiny permettant aux utilisateurs et utilisatrices d’explorer les résultats en toute autonomie. 2025-11-13 19:30:00 UTC 2025-11-13 22:30:00 UTC SMCS, Université Catholique de Louvain Instats info@instats.org [] [] [] open_to_all []

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

    14 - 15 November 2025

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

  • Support Decisions with Stats and Stories with American Statistical Association

    6 November 2025

    Support Decisions with Stats and Stories with American Statistical Association https://dresa.org.au/events/support-decisions-with-stats-and-stories-with-american-statistical-association Support Decisions with Stats and Stories bridges rigorous statistical analysis with narrative, visual, and rhetorical skills so researchers can translate technical findings into actionable, responsibly framed messages for regulators, clinicians, journalists, and other decision-makers. Participants learn to craft concise evidence-led narratives, choose interpretable visualizations that convey uncertainty and effect sizes, prepare reproducible supplements, and tailor messages for diverse audiences to increase the real-world impact of their work. 2025-11-06 06:00:00 UTC 2025-11-06 07:00:00 UTC American Statistical Association 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 []

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

    12 - 13 November 2025

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

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

    12 - 13 November 2025

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

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

    8 - 14 December 2025

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

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

    8 - 13 December 2025

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

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

    11 - 15 November 2025

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

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

    11 - 15 November 2025

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

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

    8 - 13 December 2025

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

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

    5 - 8 November 2025

    Researching Work with Adia Wingfield, Department of Sociology, Washington University in St. Louis https://dresa.org.au/events/researching-work-with-adia-wingfield-department-of-sociology-washington-university-in-st-louis-64c0147a-30d4-4725-83d2-e07c7825a95a This intensive workshop explores powerful theoretical and methodological tools for studying work and its links to organizations, professions, labor markets, and inequality. Ideal for PhD students, academics, and professional researchers, participants will learn how to develop publishable research designs through exposure to qualitative, quantitative, and mixed methods (ethnography, interviews, surveys, administrative/digital trace data, and network analysis), ethical fieldwork strategies, and translating findings into articles and grant proposals. 2025-11-05 06:00:00 UTC 2025-11-08 08:00:00 UTC Adia Wingfield, Department of Sociology, Washington University in St. Louis Instats info@instats.org [] [] [] open_to_all []

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

    15 - 16 May 2026

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

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

    12 - 13 December 2025

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

  • 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 []

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

    5 December 2025

    Using Methodological Search Filters for Evidence Synthesis with Carol Lefebvre, Lefebvre Associates Ltd https://dresa.org.au/events/using-methodological-search-filters-for-evidence-synthesis-with-carol-lefebvre-lefebvre-associates-ltd This workshop provides an overview of methodological and other search filters, in particular in the context of evidence synthesis. Participants will learn how to find, appraise and use these filters and gain an understanding of how and why filters are used by others. An official Instats certificate of completion is provided at the conclusion of the seminar. [color=rgb(33, 33, 33)][highlight=rgb(255, 255, 255)]Sign up for this seminar and "Finding Unpublished Clinical Trial Data" [/highlight][/color][color=rgb(33, 33, 33)][highlight=rgb(255, 255, 255)][url=https://instats.org/course/key-search-issues-finding-trials-using1]at the same time[/url][/highlight][/color][color=rgb(33, 33, 33)][highlight=rgb(255, 255, 255)] to save 10%.[/highlight][/color] 2025-12-05 02:00:00 UTC 2025-12-05 05:00:00 UTC Carol Lefebvre, Lefebvre Associates Ltd Instats info@instats.org [] [] [] open_to_all []

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

    5 December 2025

    Search Filters for Evidence Synthesis with Carol Lefebvre, Lefebvre Associates Ltd https://dresa.org.au/events/search-filters-for-evidence-synthesis-with-carol-lefebvre-lefebvre-associates-ltd-725aea69-108d-4f32-b32c-13115775798e This workshop provides an overview of methodological and other search filters, in particular in the context of evidence synthesis. Participants will learn how to find, appraise and use these filters and gain an understanding of how and why filters are used by others. An official Instats certificate of completion is provided at the conclusion of the seminar. 2025-12-05 02:00:00 UTC 2025-12-05 05:00:00 UTC Carol Lefebvre, Lefebvre Associates Ltd Instats info@instats.org [] [] [] open_to_all []

  • 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://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 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 []

  • Using ChatGPT for Advanced Data Analysis 5.0 (EU/Asia) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    14 - 18 November 2025

    Using ChatGPT for Advanced Data Analysis 5.0 (EU/Asia) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-5-0-eu-asia-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT and other AI tools for [b]statistical analysis without[/b] having to use [b]a statistics program or writing a single line of code[/b]. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and [i]model[/i] and on assessing the output. The course also reflects on implications of AI for the statistics profession and academia more generally. With regular updates, 'Using ChatGPT for Advanced Data Analysis' is [b]the longest-running seminar on statistics with AI [/b]at Instats. 2025-11-14 19:00:00 UTC 2025-11-18 23:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []

  • Using ChatGPT for Advanced Data Analysis 5.0 (EU/Asia) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    14 - 18 November 2025

    Using ChatGPT for Advanced Data Analysis 5.0 (EU/Asia) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-5-0-eu-asia-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana-8e28bbd2-654e-4dec-b2c9-9e807de66a36 This 3-day workshop shows participants how to use ChatGPT and other AI tools for [b]statistical analysis without[/b] having to use [b]a statistics program or writing a single line of code[/b]. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and [i]model[/i] and on assessing the output. The course also reflects on implications of AI for the statistics profession and academia more generally. With regular updates, 'Using ChatGPT for Advanced Data Analysis' is [b]the longest-running seminar on statistics with AI [/b]at Instats. 2025-11-14 19:00:00 UTC 2025-11-18 23:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []

  • Using ChatGPT for Advanced Data Analysis 5.0 (Americas) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    6 - 10 December 2025

    Using ChatGPT for Advanced Data Analysis 5.0 (Americas) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-5-0-americas-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana This 3-day workshop shows participants how to use ChatGPT and other AI tools for [b]statistical analysis without[/b] having to use [b]a statistics program or writing a single line of code[/b]. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and [i]model[/i] and on assessing the output. The course also reflects on implications of AI for the statistics profession and academia more generally. With regular updates, 'Using ChatGPT for Advanced Data Analysis' is [b]the longest-running seminar on statistics with AI [/b]at Instats. 2025-12-06 04:00:00 UTC 2025-12-10 08:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []

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

    7 - 8 December 2025

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

  • Using ChatGPT for Advanced Data Analysis 5.0 (EU/Asia) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    14 - 18 November 2025

    Using ChatGPT for Advanced Data Analysis 5.0 (EU/Asia) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-5-0-eu-asia-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana-62429ba5-4b2e-48e7-a879-6b8b77495b14 This 3-day workshop shows participants how to use ChatGPT and other AI tools for [b]statistical analysis without[/b] having to use [b]a statistics program or writing a single line of code[/b]. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and [i]model[/i] and on assessing the output. The course also reflects on implications of AI for the statistics profession and academia more generally. With regular updates, 'Using ChatGPT for Advanced Data Analysis' is [b]the longest-running seminar on statistics with AI [/b]at Instats. 2025-11-14 19:00:00 UTC 2025-11-18 23:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []

  • Using ChatGPT for Advanced Data Analysis 5.0 (Americas) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana

    6 - 10 December 2025

    Using ChatGPT for Advanced Data Analysis 5.0 (Americas) with Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana https://dresa.org.au/events/using-chatgpt-for-advanced-data-analysis-5-0-americas-with-peter-gruber-faculty-of-economics-usi-universita-della-svizzera-italiana-b89fb572-4d0a-4766-8e65-d200e0590ed5 This 3-day workshop shows participants how to use ChatGPT and other AI tools for [b]statistical analysis without[/b] having to use [b]a statistics program or writing a single line of code[/b]. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests, and data visualisation. Special emphasis is placed on understanding the workings and limits of AI models, on the choice of the appropriate [i]mode[/i] and [i]model[/i] and on assessing the output. The course also reflects on implications of AI for the statistics profession and academia more generally. With regular updates, 'Using ChatGPT for Advanced Data Analysis' is [b]the longest-running seminar on statistics with AI [/b]at Instats. 2025-12-06 04:00:00 UTC 2025-12-10 08:00:00 UTC Peter Gruber, Faculty of Economics, USI Università della Svizzera Italiana Instats info@instats.org [] [] [] open_to_all []

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

    18 - 20 November 2025

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

  • 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://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 []

  • Single Cell Data Analysis 2.0 with Nikolay Oskolkov, Group Leader (PI) at LIOS

    25 November 2025

    Single Cell Data Analysis 2.0 with Nikolay Oskolkov, Group Leader (PI) at LIOS https://dresa.org.au/events/single-cell-data-analysis-2-0-with-nikolay-oskolkov-group-leader-pi-at-lios This one-day workshop provides a comprehensive overview of single-cell data analysis, focusing on the advanced computational tools and methodologies required to interpret cellular heterogeneity using single-cell RNA sequencing technologies. Participants will gain practical skills in preprocessing, clustering, and integrating datasets, leveraging powerful R and Python libraries, with an emphasis on biological inference and real-world applications in fields such as cancer research and immunology. 2025-11-25 01:00:00 UTC 2025-11-25 07:00:00 UTC Nikolay Oskolkov, Group Leader (PI) at LIOS 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://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://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 []

  • 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 []

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

    4 - 5 December 2025

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

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

    3 December 2025

    AI-Powered Image Analysis with Nikolay Oskolkov, Group Leader (PI) at LIOS https://dresa.org.au/events/ai-powered-image-analysis-with-nikolay-oskolkov-group-leader-pi-at-lios This seminar provides a practical, hands-on introduction to AI-powered image analysis for biological and clinical imaging, covering deep learning (CNNs, UNet, Mask R‑CNN), transfer learning, object detection, semantic and instance segmentation, Bayesian uncertainty estimation, model interpretability, and classical computer vision techniques. Participants will build reproducible Jupyter/Python pipelines (with ChatGPT-assisted coding), learn evaluation and reporting best practices, and leave able to design, train, interpret, and deploy publication-quality image analysis experiments on real datasets. 2025-12-03 01:00:00 UTC 2025-12-03 07:00:00 UTC Nikolay Oskolkov, Group Leader (PI) at LIOS Instats info@instats.org [] [] [] open_to_all []

  • Visualisation en Python pour la Data Science with SMCS, Université Catholique de Louvain

    14 November 2025

    Visualisation en Python pour la Data Science with SMCS, Université Catholique de Louvain https://dresa.org.au/events/visualisation-en-python-pour-la-data-science-with-smcs-universite-catholique-de-louvain Cet atelier approfondi vous familiarisera avec les techniques et outils de visualisation de données en Python, essentiels pour explorer et communiquer efficacement des résultats de recherche en science des données. Les participants acquerront des compétences pratiques pour créer des visualisations percutantes à l'aide de bibliothèques telles que Matplotlib, Seaborn, et Plotly, et amélioreront leur capacité à intégrer ces visualisations dans des contextes académiques. 2025-11-14 00:00:00 UTC 2025-11-14 03:00:00 UTC SMCS, Université Catholique de Louvain Instats info@instats.org [] [] [] open_to_all []

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

    6 - 8 November 2025

    Introduction to Hospital Episode Statistics with Great Ormond Street Institute of Child Health, University College London https://dresa.org.au/events/introduction-to-hospital-episode-statistics-with-great-ormond-street-institute-of-child-health-university-college-london-bcafe0ea-1c90-455d-a593-2b4a630017ed This short course is designed to give participants a practical introduction to Hospital Episode Statistics (HES). HES contains records of all patients admitted to National Health Service (NHS) hospitals in England, as well as details of inpatient care, outpatient appointments and emergency department attendances—useful for research, clinical outcomes monitoring, and public health and service planning. In addition to covering the cleaning and analysis of HES data, the course shows how to apply for HES data and their strengths / weaknesses.  2025-11-06 21:00:00 UTC 2025-11-08 03:00:00 UTC Great Ormond Street Institute of Child Health, University College London Instats info@instats.org [] [] [] open_to_all []

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

    6 - 8 November 2025

    Introduction to Hospital Episode Statistics with Great Ormond Street Institute of Child Health, University College London https://dresa.org.au/events/introduction-to-hospital-episode-statistics-with-great-ormond-street-institute-of-child-health-university-college-london-c09ea8f3-027d-46c6-bd95-62c70c401177 This short course is designed to give participants a practical introduction to Hospital Episode Statistics (HES). HES contains records of all patients admitted to National Health Service (NHS) hospitals in England, as well as details of inpatient care, outpatient appointments and emergency department attendances—useful for research, clinical outcomes monitoring, and public health and service planning. In addition to covering the cleaning and analysis of HES data, the course shows how to apply for HES data and their strengths / weaknesses.  2025-11-06 21:00:00 UTC 2025-11-08 03:00:00 UTC Great Ormond Street Institute of Child Health, University College London Instats info@instats.org [] [] [] open_to_all []

  • Useful Tools for Data Science in R with SMCS, Université Catholique de Louvain

    24 - 29 November 2025

    Useful Tools for Data Science in R with SMCS, Université Catholique de Louvain https://dresa.org.au/events/useful-tools-for-data-science-in-r-with-smcs-universite-catholique-de-louvain This hands-on workshop empowers researchers to enhance their data science skills using R, Github, Copilot, RStudio and Visual Studio Code. Participants will gain practical expertise in coding efficiently, and conducting reproducible research with file versioning, ultimately elevating their research capabilities and contributions. 2025-11-24 23:00:00 UTC 2025-11-29 00:00:00 UTC SMCS, Université Catholique de Louvain 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://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://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://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 []

  • Useful Tools for Data Science in R with SMCS, Université Catholique de Louvain

    24 - 29 November 2025

    Useful Tools for Data Science in R with SMCS, Université Catholique de Louvain https://dresa.org.au/events/useful-tools-for-data-science-in-r-with-smcs-universite-catholique-de-louvain-9713d530-d24b-4961-aa6e-746ca3217c0d This hands-on workshop empowers researchers to enhance their data science skills using R, Github, Copilot, RStudio and Visual Studio Code. Participants will gain practical expertise in coding efficiently, and conducting reproducible research with file versioning, ultimately elevating their research capabilities and contributions. 2025-11-24 23:00:00 UTC 2025-11-29 00:00:00 UTC SMCS, Université Catholique de Louvain Instats info@instats.org [] [] [] open_to_all []

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

    15 - 19 December 2025

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

  • Science Writing and Storytelling with Association for Psychological Science

    6 November 2025

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

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

    4 - 6 December 2025

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

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

    13 November 2025

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

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

    14 November 2025

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

  • 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://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 []

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

    12 December 2025

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

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

    26 November 2025

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

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

    26 - 28 February 2026

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

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

    5 December 2025

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