Building AI Research Teams - On-Demand

What could a coordinated team of AI agents bring to your research—and when is a single assistant enough? Join Professor Michael Zyphur for a practical, demonstration-led online seminar exploring how to design specialized AI roles that plan, search, analyze, critique, and synthesize evidence while keeping you firmly in control as the principal investigator. Designed for PhD students and researchers across the sciences, social sciences, and humanities, the workshop shows how multi-agent workflows can support literature reviews, evidence synthesis, data analysis, academic writing, and grant development—with human approval points, critical evaluation, and transparent documentation built in. Leave with an adaptable blueprint for AI-supported research that prioritizes accountability, reproducibility, and scholarly rigor. Attend live via Zoom or revisit recordings and materials for 30 days afterward, with expert-monitored Q&A support. This seminar is part of Instats’ four-part Agentic AI for Academic Research series; enroll in all four for a 10% discount. Explore the series and register: https://instats.org/course/agentic-ai-for-academic-research1 #HealthSciences #Humanities #LifeSciences #NaturalSciences #SocialSciences #Education #InformationScience #DataScience #ComputerScience #CognitiveScience #SoftwareEngineering #ChatGPT #Claude #ClaudeCode #Codex #Gemini #Copilot #MistralVibe #Grok #Research #ResearchTraining #Instats

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Advanced Data Visualizations in R - On-Demand

Want to turn complex data into clear, compelling visuals? Join the online Advanced Data Visualization in R seminar for PhD students and researchers, offered by QLS-MiCM through the Statistical Society of Canada. Led by Han Yu with facilitator Adrien Osakwe, this hands-on session moves from the Grammar of Graphics and ggplot2 fundamentals to faceting, scales, themes, specialized plots such as heatmaps and Kaplan-Meier curves, and interactive visualizations with plotly. You’ll learn to choose and tailor plots that communicate your findings effectively, with take-home skill challenges and access to recordings and materials for 30 days after the seminar. Learn more: https://www.mcgill.ca/micm/ #Biostatistics #Statistics #ComputerScience #DataScience #R #Research #ResearchTraining #Instats

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Survey Design for Research and Practice - On-Demand

A well-designed survey can uncover valuable insights; a poorly designed one can lead to misleading conclusions. Join Adam Berinsky of the MIT Political Experiments Research Lab for a 3-day online workshop on designing, implementing, and evaluating effective surveys. Through lectures, hands-on Qualtrics practice, and group discussions, PhD students, academics, and professional researchers will learn how to write better questions, understand sampling, spot common pitfalls, and communicate findings clearly. Whether you’re planning your own study or assessing research conducted by others, this workshop will help you approach survey evidence with greater confidence. Recordings and materials remain available for 30 days after the seminar. #Psychology #Sociology #Economics #PoliticalScience #PublicPolicy #Education #Management #Marketing #DataScience #Law #Medicine #Multidisciplinary #Statistics #SocialTheory #Qualtrics #Research #ResearchTraining #Instats

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Foundations of Data Analysis with R - On-Demand

Want to use R more confidently in your research? Join the Centre for Applied Statistics Courses (CASC) at University College London for an online workshop designed for PhD students and researchers. You’ll build practical skills in importing and cleaning data, exploring and visualising results, running statistical tests, interpreting output, and writing simple R scripts. Whether your work is in biostatistics, data science, computational biology, or another data-driven field, this workshop offers a foundation for more effective statistical analysis. Seminar materials are available for 30 days, and participants receive a certificate of completion. #Biostatistics #SoftwareEngineering #Statistics #DataScience #ComputationalBiology #StatisticsEducation #Statisticalmodellingandregression #Education #InformationScience #Bioinformatics #R #Research #ResearchTraining #Instats

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Rethinking Communication in the AI Era - Livestream starting Oct 29, 2026 (UTC)

What happens to a research finding when it moves from a journal article to a museum exhibit, a public-facing post, or an AI-generated summary? In this online seminar, Diana Popa invites PhD students and professional researchers to rethink science communication as meaning making—not simply information transfer. Using seaweed research as a case study, you’ll explore how framing, narrative, images, and generative AI can reshape evidence, uncertainty, and authority across audiences and platforms. You’ll leave with practical tools to analyse communication materials and design a thoughtful pathway for sharing your own research. Join live via Zoom or revisit the recording and materials for 30 days after the seminar; a certificate of completion is provided. #ScienceCommunication #Education #Linguistics #InformationScience #Communication #Research #ResearchTraining #Instats

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Bregman Projection for Calibration Estimation (Free Seminar) - On-Demand

PhD students and researchers: explore how calibration weighting can improve survey estimation and reduce selection bias in this online seminar. You’ll learn to interpret calibration as a Bregman projection in weight space and see how the framework connects to efficiency tuning, doubly robust estimation, and regularized calibration for high-dimensional covariates. The seminar includes take-home skill challenges and an Instats certificate of completion. For livestream participants, recordings and materials remain available for 30 days afterward, with an instructor-monitored forum for follow-up questions. #SurveyStatistics #Mathematics #Statistics #DataScience #Research #ResearchTraining #Instats

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Better Data Visualizations in Stata - On-Demand

Ready to move beyond Stata’s default graphs? Join Professor John V. Kane for an online seminar designed to help PhD students and researchers turn statistical results into clear, publication-quality visualizations. If you have some experience running commands in Stata, you’ll learn to visualize everything from central tendency and variability to correlation and regression, use user-written packages, customize and combine graphs, and build a reproducible workflow. Whether you’re preparing a dissertation, journal article, presentation, or report, you’ll leave with practical tools for making your findings more informative and compelling. Attend live via Zoom, with recordings and materials available for 30 days afterward, plus a 30-day Q&A forum and a certificate of completion. #Economics #PoliticalScience #PublicOpinion #SocialSciences #Sociology #DataScience #Statistics #InformationScience #Stata #Research #ResearchTraining #Instats

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AI Agents for Researchers - On-Demand

How can AI agents help you do more rigorous research—not just faster research? Join Martin Qiu, business professor and Chair of the AI Taskforce at Wilfrid Laurier University’s Lazaridis School of Business and Economics, for an online seminar designed for PhD students and professional researchers across disciplines. Using Codex for hands-on examples, you’ll learn how to move beyond one-off prompts and build file-based, auditable workflows for evidence tracing, coding support, analysis planning, and manuscript development. You’ll leave with practical templates and a framework for deciding when to use chatbots, agentic tools, and human review—while keeping accuracy, provenance, and reproducibility at the center of your work. Attend live via Zoom or revisit the recording and materials for 30 days afterward, with access to an expert-moderated Q&A forum. #ArtificialIntelligence #DataAnalytics #SoftwareEngineering #InformationScience #ComputerScience #Education #DataScience #Codex #Research #ResearchTraining #Instats

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Power Analysis and Sample Size Calculation - On-Demand

Planning a study? Getting the sample size right can make a real difference to the reliability of your findings. In this online CASC workshop, PhD students and researchers will learn practical approaches to sample size estimation and power calculations, from choosing a sample size for a desired confidence interval to calculating the numbers needed to detect a specified difference. Using accessible explanations and Excel spreadsheets, you’ll work through examples involving means, proportions and rates, with additional resources on time-to-event data, agreement and percentiles. The workshop includes take-home skill challenges, access to recordings and materials for 30 days, and a certificate of completion. Build the confidence to make better-informed study design decisions in your own research. #Psychology #Sociology #PoliticalScience #Management #Epidemiology #PublicHealth #ClinicalorLaboratoryScience #Education #Statistics #DataScience #Biostatistics #Excel #Research #ResearchTraining #Instats

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What Does it Mean to be Fundable Today? (Free Seminar) - On-Demand

Great science is essential—but what makes a research proposal fundable? Join this online seminar for PhD students and professional researchers to explore how impact, collaboration, translational potential, institutional credibility and the ability to deliver at scale shape funding decisions across biomedical, health and applied research. Drawing on insights from the Australian Society for Medical Research, the seminar will help you think beyond scientific merit and position strong ideas as competitive proposals. Attend live via Zoom or revisit the recording and materials for 30 days, with access to an expert-monitored Q&A forum during that time. An official Instats certificate of completion is provided. #AppliedResearch #Biomedicine #Healthcare #HealthSciences #MedicalSciences #ResearchinHealthSciences #TranslationalResearch #PublicPolicy #Medicine #PublicHealth #Management #Education #Biostatistics #Strategy #Research #ResearchTraining #Instats

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Verifiable AI for Academic Research - On-Demand

How can you tell whether an AI-assisted research workflow is reliable—and show the evidence to back it up? Join Professor Michael Zyphur for an online workshop designed for PhD students and researchers who want to treat AI workflows as research methods that must be tested before use. Through a hands-on validation study with local AI agents, you’ll compare models, instructions, and settings; investigate failures; and learn to keep separate audit records for validation and research use. You’ll leave with an Auditable AI Workflow Pack to help document and defend AI-assisted work. The workshop is part of the four-part Agentic AI for Academic Research series, with a 10% discount when you sign up for all four: https://instats.org/course/agentic-ai-for-academic-research1. Zoom recordings and materials remain available for 30 days after the seminar. #HealthSciences #Humanities #LifeSciences #NaturalSciences #SocialSciences #Education #Ethics #DataScience #ComputerScience #InformationScience #PhilosophyofScience #Statistics #SoftwareEngineering #ChatGPT #Claude #Gemini #Copilot #ClaudeCode #Codex #Grok #MistralVibe #Research #ResearchTraining #Instats

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Advanced Statistical Methods for Genetic Association Studies - On-Demand

Looking to strengthen your genetic association research? Join an online seminar with Jingjing Yang, Associate Professor of Human Genetics at Emory University, designed for PhD students, postdoctoral researchers, and academic staff. Explore the statistical foundations and practical workflows behind GWAS, molecular QTL mapping, co-localization, Mendelian Randomization, and TWAS, with a focus on causal inference, multi-omics integration, and reproducible analysis. You’ll learn how to address common pitfalls, assess model assumptions, and present methods and results that stand up to peer review. Livestream seminars are held on Zoom, with recordings and materials available for 30 days afterward, a 30-day expert-monitored Q&A forum, and an Instats certificate of completion. #Biostatistics #ComputationalStatistics #Genetics #Statisticalmodellingandregression #Statistics #Bioinformatics #Genomics #Linux #Python #R #Bash #Research #ResearchTraining #Instats

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Structural Equation Modeling with AI - Livestream starting Nov 4, 2026 (UTC)

Ready to move beyond regression and model latent variables with confidence? Join Professor Michael Zyphur for an online, practice-oriented seminar on structural equation modeling (SEM) in Mplus and R using lavaan. Designed for PhD students and researchers, the workshop combines hands-on work with TIMSS data and guidance on measurement models, mediation, moderation, and responsible use of generative AI for coding, troubleshooting, and reporting. Attend live via Zoom or revisit the recordings and materials for 30 days after the seminar. You’ll also have access to a monitored Q&A forum and receive a certificate of completion. This seminar is part of a two-part course on SEM and multilevel models in R and Mplus with AI; purchase both seminars to save 10%. #HealthSciences #LifeSciences #NaturalSciences #SocialSciences #DataScience #Psychology #Statistics #ComputerScience #ChatGPT #Claude #Gemini #Copilot #Mplus #R #MistralVibe #Grok #ClaudeCode #Codex #Research #ResearchTraining #Instats

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Introduction to Quantum Computation - Livestream starting Oct 8, 2026 (UTC)

Curious about quantum computing but looking for a rigorous starting point? Join Eric Sakk of Morgan State University for an online seminar designed for PhD students and researchers. You’ll explore the mathematics behind qubits, superposition, entanglement, quantum gates, and measurement, then connect those foundations to quantum circuits, algorithms, current hardware limitations, and introductory programming with Qiskit. The seminar balances what quantum computing promises with what researchers can implement and analyse today. Attend live via Zoom or revisit the recording and materials for 30 days after the seminar; an expert-monitored Q&A forum is also available during that period. An official Instats certificate of completion is provided. #ComputerScience #Engineering #Mathematics #Physics,Astronomy #Python #Research #ResearchTraining #Instats

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AI in Medical Imaging - Livestream starting Oct 8, 2026 (UTC)

How can you turn medical imaging data into AI research that is both scientifically credible and clinically meaningful? Join Jamal Esmaily of the University of Cambridge for an online seminar designed for PhD students, postdoctoral researchers, and academic staff. Explore dataset curation, reproducible preprocessing, data leakage, and robust validation, then compare radiomics and classical machine learning with deep learning approaches for classification, segmentation, and multimodal prediction. You’ll strengthen your ability to choose appropriate methods, build defensible pipelines, and report results clearly. Attend live via Zoom or revisit the recordings and materials for 30 days afterward, with access to an expert-monitored Q&A forum. Participants receive an Instats certificate of completion. #MachineLearning #Medicine #Statistics #DataScience #ComputerScience #BiomedicalEngineering #Python #Research #ResearchTraining #Instats

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Modern Causal Inference Methods (Europe/UK) - Livestream starting Oct 28, 2026 (UTC)

How do you move from an association in your data to a credible causal claim? This online seminar for PhD students and researchers offers a research-oriented introduction to modern causal inference in R, connecting causal diagrams and target-trial thinking with matching, weighting, doubly robust methods, machine learning, and quasi-experimental designs. Through applied examples and hands-on R demonstrations, you’ll learn how to choose methods that fit your research question, assess assumptions and diagnostics, and communicate your conclusions clearly. The livestream is timed for Europe and the UK, with a companion Americas/Australasia version available at https://instats.org/seminar/modern-causal-inference-methods. Recordings and materials remain available for 30 days after the seminar, alongside an expert-monitored Q&A forum, and participants receive a certificate of completion. disciplines #Economics #DataScience #Statistics #PublicHealth #R #Research #ResearchTraining #Instats

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Open Science and Reproducible Research - Livestream starting Nov 18, 2026 (UTC)

Want to make your research easier to rerun, share, and trust? Join Michael Schulte-Mecklenbeck of the University of Bern for an online workshop on building reproducible research workflows with Quarto, R, Git, OSF Registries, and Zenodo. Designed for PhD students and professional researchers, the seminar combines hands-on guidance with open science foundations, from preregistration and FAIR principles to dynamic reports, version control, and archiving. You’ll learn to spot common workflow failures, document your analyses, and prepare projects that others can reproduce. Attend live via Zoom or revisit the recordings and materials for 30 days afterward; an expert-monitored Q&A forum is also available during that time. Participants receive an Instats certificate of completion. #SocialSciences #DataScience #ComputerScience #Statistics #Education #Quarto #R #Git #Research #ResearchTraining #Instats

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Using Stata Effectively: The Fundamentals - Livestream starting Oct 6, 2026 (UTC)

PhD students and researchers: build practical Stata skills in this online seminar, from navigating the interface and managing datasets to fitting statistical models, creating visualizations, and producing reproducible reports. Learn to write do-files, interpret results, and turn your analysis into publication-quality tables and graphics. Livestream sessions take place on Zoom, with recordings and materials available for 30 days afterward, plus an expert-monitored Q&A forum for follow-up questions. An official Instats certificate of completion is provided when you finish the seminar. #DataAnalytics #DataScience #Statistics #SoftwareEngineering #Stata #Research #ResearchTraining #Instats

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Cell and Gene Therapy: Design, Estimands, Operations, and AI - Livestream starting Oct 6, 2026 (UTC)

How do you design credible studies when cell and gene therapies challenge conventional trial approaches? This online seminar for PhD students and researchers draws on expertise from the American Statistical Association’s Cell and Gene Therapy Scientific Working Group to explore the statistical and regulatory decisions shaping this fast-moving field. You’ll examine single-arm and randomized designs, dose finding, historical data, estimands, operational challenges, and the emerging role of AI—connecting methodological principles with practical development and publishable research. Join live via Zoom or revisit the recording and materials for 30 days afterward; a monitored Q&A forum and certificate of completion are also included. #Biostatistics #Genetics #DataScience #PharmaceuticalScience #Medicine #Statistics #Research #ResearchTraining #Instats

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AI-Assisted Data Analysis: Modern Workflows - Livestream starting Oct 6, 2026 (UTC)

Want to make your data analysis more efficient without compromising research rigor? Join Dr Kimberly Fessel for a one-day, hands-on online seminar on using ChatGPT alongside Jupyter and Python in research workflows. Designed for PhD students, postdocs, faculty, and research professionals with basic familiarity with Python and statistics, the workshop covers data cleaning, exploratory analysis, coding and debugging, visualization, and synthetic data generation. You’ll also practice validating AI-generated outputs, keeping your work reproducible, and protecting sensitive data—using AI as an assistant, not a substitute for your expertise. Attend live via Zoom or revisit the recording and materials for 30 days afterward, with access to an expert-monitored Q&A forum. #ArtificialIntelligence #ComputationalSocialScience #DataAnalytics #DataScience #Statistics #ComputerScience #InformationScience #SoftwareEngineering #ChatGPT #Jupyter #Python #Research #ResearchTraining #Instats

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Understanding Large Language Models - Livestream starting Oct 19, 2026 (UTC)

ChatGPT, Gemini and Claude can transform research workflows—but how do you know when to trust them, which tool to choose, or when not to use AI at all? In this online seminar for PhD students and professional researchers, Professor Peter Gruber takes the mystery out of large language models and AI agents. Across three sessions, you’ll explore how these tools work, why they sometimes fail, and how to use them more effectively for research, data analysis and writing. No programming or advanced mathematics is required. Join live on Zoom or revisit the recordings and materials for 30 days after the seminar; you’ll also have access to an expert-monitored Q&A forum and receive a certificate of completion. #AcademicLiteracy #AI disciplines #DataScience #Statistics #StatisticsEducation #CognitiveScience #ComputerScience #ChatGPT #Claude #Gemini #Research #ResearchTraining #Instats

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Writing Your First Paper (Free Seminar) - Livestream starting Oct 5, 2026 (UTC)

Ready to turn your research into a publication-ready paper? Join this online workshop for Master’s and PhD students and professional researchers, led by Jenifer C. Lopes of Harvard University’s Department of Organismic & Evolutionary Biology. Learn how to build a clear research narrative, write effective abstracts and reproducible methods, identify the right journals, use bibliographic tools to find key literature, and improve your writing with AI while maintaining academic integrity. Attend live via Zoom or revisit the recording and materials for 30 days after the seminar, with an expert-monitored Q&A forum available during that time. Participants receive an official Instats certificate of completion. #Biology #Writing #Linguistics #Communication #Education #Ethics #DataScience #PhilosophyofScience #InformationScience #Research #ResearchTraining #Instats

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A Bit of AI – Best Tools for Research (Free Seminar) - Livestream starting Oct 5, 2026 (UTC)

Which AI tools are actually worth using in research—and paying for? Join Professor Peter Gruber for the free, 90-minute Fall 2026 update of his Best AI Tools for Research seminar. Designed for PhD students, researchers, professors, and university staff, this fast-paced session covers practical AI workflows for ideation, literature reviews, data analysis, coding, writing, and automation, alongside privacy, costs, and the changing role of AI in academia. Peter will share his personal setup and introduce his “Prompt but Verify” framework for assessing AI outputs and spotting hallucinations. Whether you’re deciding which skills to develop or refining your research workflow, you’ll leave with a curated starting point for exploring AI tools. disciplines #Education #InformationScience #DataScience #ComputerScience #ChatGPT #Claude #Gemini #GithubCopilot #Ollama #Research #ResearchTraining #Instats

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Searching for Systematic Reviews: Databases / Resources - On-Demand

A strong systematic review starts with knowing where and how to search. Join Julie Glanville and Carol Lefebvre, who each bring over 30 years of experience, for the online seminar “Searching for systematic reviews: selecting and searching databases and other resources.” Designed for PhD students, researchers, clinicians and information specialists, this practical workshop explores how to choose and search resources such as MEDLINE, Embase and the Cochrane Library, alongside clinical trials registers, grey literature and unpublished evidence. You’ll also learn how to adapt search strategies across resources, with time for questions and discussion. Attend live via Zoom or revisit the recording and materials for 30 days afterward. The seminar can be taken on its own or as part of the two-part Searching for Systematic Reviews: Where and How to Search course, with a 10% discount when both seminars are purchased together: https://instats.org/structuredcourse/searching-for-systematic-reviews-where-2 #Psychology #PublicPolicy #Epidemiology #PublicHealth #ClinicalorLaboratoryScience #PharmaceuticalScience #Psychiatry #Ophthalmology #Neuroscience #Immunology #Pharmacology #InformationScience #Research #ResearchTraining #Instats

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Support Decisions with Stats and Stories (Free Seminar) - On-Demand

Strong statistical analysis can inform better decisions—but only if we communicate it clearly to the people who need it. Join this online seminar for PhD students and professional researchers to explore how compelling narratives can make statistical evidence more useful to decision-makers. John Bailer, Barry Nussbaum, and Regina Nuzzo will share perspectives from environmental regulation, scientific collaboration, and science communication, with Mark Otto moderating. Attend live via Zoom or revisit the recording and materials for 30 days afterward; a Q&A forum will also be available during that time. An Instats certificate of completion is provided. #Biostatistics #Communication #Statistics #StatisticsEducation #DataScience #PublicPolicy #Education #Sociology #Research #ResearchTraining #Instats

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No-Code Statistical Network Modeling - Livestream starting Oct 28, 2026 (UTC)

Join Instats for an online seminar on no-code statistical network modeling for PhD students, postdoctoral researchers, and professional academics who want to analyze relational data with greater methodological confidence. Led by Professor Moses Boudourides, this seminar introduces a rigorous, accessible framework for studying tie formation, network structure, and network change across the sciences and digital humanities. Participants will explore static ERGMs, temporal ERGMs, and stochastic actor-oriented models, learning how to connect research questions to appropriate model families, assess assumptions, interpret diagnostics, and communicate findings in publication-ready language. Using an interactive no-code Streamlit environment and worked examples, the seminar emphasizes both conceptual foundations and empirical applications, including visual inspection workflows, model specification, fit assessment, longitudinal network analysis, and common pitfalls in applied network modeling. Designed for researchers seeking to strengthen research design and expand their methodological toolkit, the seminar includes live Zoom access, 30-day access to recordings and materials, a monitored Q&A forum, and an official Instats certificate of completion, with ECTS Equivalent points available where applicable. disciplines #Sociology #DataScience #Statistics #Research #ResearchTraining #Instats

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Structural Equation Modeling in R - On-Demand

Advance your quantitative research skills with this two-day online workshop on Structural Equation Modeling (SEM) for PhD students and professional researchers in psychology and the behavioural sciences. Led by Scott Colwell (University of Guelph and Enablytics), the seminar introduces the conceptual foundations and applied practice of SEM, with a focus on latent variable modelling, measurement error, confirmatory factor analysis, mediation, model comparison, reliability, missing data, simulation-based power analysis, and reproducible R/lavaan workflows. Through real psychological examples, step-by-step demonstrations, and guided exercises, participants will learn how to build, evaluate, interpret, and report SEM models in ways that align with substantive theory and journal expectations. The seminar is delivered live via Zoom, with recordings, slides, code, data, and materials available for 30 days after the workshop, plus access to an expert-moderated Q&A forum and an official Instats certificate of completion. #Psychology #QuantitativeMethods #Statistics #DataScience #lavaan #R #Research #ResearchTraining #Instats

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Tuning LLMs for Text Analysis - Livestream starting Oct 30, 2026 (UTC)

Fine-tuning large language models is becoming an essential research skill for extracting reliable, reproducible insights from specialized text data. Join our one-day online workshop, Fine-Tuning Large Language Models for Text Analysis, taught by Dr. Seraphine Maerz, Senior Lecturer at the University of Melbourne, and designed for PhD students, professors, and professional researchers in health sciences, political science, the social sciences, and related fields. This practical seminar combines clear conceptual guidance with hands-on Jupyter/Colab notebooks in Python and R, covering when to fine-tune versus use prompt engineering, data preparation and annotation, BERT fine-tuning for classification, LoRA for parameter-efficient fine-tuning, evaluation metrics, error analysis, reproducibility, and interpretation of results. No prior Python or R experience is assumed, but participants should be ready to work hands-on with code. The seminar is delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the session, plus an official Instats certificate of completion. disciplines #HealthSciences #PoliticalScience #SocialSciences #InformationScience #Statistics #ComputerScience #DataScience #PublicHealth #Linguistics #GoogleColab #Jupyter #Python #R #RStudio #Research #ResearchTraining #Instats

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AI-Assisted Content Analysis - Livestream starting Oct 29, 2026 (UTC)

Join us for an intensive one-day online workshop on AI-assisted qualitative analysis in R, designed for PhD students and professional researchers who want to use large language models transparently, rigorously, and responsibly in their research. Led by Seraphine Maerz, Senior Lecturer at the University of Melbourne, and Kenneth Benoit, Professor of Computational Social Science at SMU, this hands-on seminar introduces the quallmer and ellmer packages for annotating and analysing text, PDFs, images, audio, video, and tabular data using both proprietary models such as OpenAI, Google, and Anthropic and open-source alternatives such as Ollama. No prior R or machine-learning experience is required: participants will follow guided RStudio demonstrations and structured exercises to design reliable codebooks, build reproducible workflows, validate AI outputs against human coding, and address key ethical, privacy, and data-security issues. The seminar includes live Zoom access, recordings and materials available for 30 days, a monitored Q&A forum, and an official Instats certificate of completion. Whether you are new to R or looking to expand your qualitative methods toolkit, this workshop offers a practical and publication-ready approach to integrating AI into qualitative research while preserving transparency and reflexivity. #ArtificialIntelligence #Communication #DigitalHumanities #HealthSciences #History #Media #PoliticalScience #SocialMedia #SocialSciences #Statistics #ComputerScience #DataScience #Education #R #Research #ResearchTraining #Instats

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Overview of the GDIS Hub (Free Seminar) - On-Demand

Join our upcoming online seminar introducing the Gender, Diversity and Inclusion Statistics (GDIS) Hub, a key resource for researchers seeking high-quality disaggregated and intersectional evidence on gender, diversity, inclusion, and social inequalities. Led by François Marshall of Statistics Canada, this seminar is designed for PhD students, post-PhD researchers, and academic staff who want to locate, interpret, and integrate official statistics into dissertations, journal articles, grant proposals, policy analysis, and evidence-informed scholarship. Participants will gain practical insight into how the GDIS Hub is organized, how to identify relevant data resources and analytical products, and how intersectional statistics can strengthen research design, empirical claims, comparative analysis, and reproducible research practice. The seminar is offered online via Zoom, with recordings and materials available for 30 days, an expert-moderated Q&A forum, and an official Instats certificate of completion provided. #Statistics #Sociology #DataScience #InformationScience #PublicPolicy #Research #ResearchTraining #Instats

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