Generative AI can transform research—but knowing when to trust it, which tool to choose, and when not to use it isn’t always obvious. Join Professor Peter Gruber for an online seminar that takes the mystery out of large language models and AI agents, building practical intuition about how they work, where they fall short, and how to use them effectively across academic tasks. Explore topics from tokens, embeddings, and next-token prediction to transformers, hallucinations, model selection, prompting, privacy, and agentic workflows. No programming or advanced mathematics knowledge is required. Peter brings technical and statistical expertise, extensive research experience, and a track record of AI seminars attended by more than 5,000 researchers. This seminar is part of Instats’ four-part course, “Using and Managing AI Agents Successfully”; save 10% when you enroll in all four seminars: https://instats.org/course/a-bit-of-ai-%E2%80%93-using-and-managing-agents-2. Attend live online or watch the recordings and access the materials for 30 days after the seminar. A certificate of completion is provided. #AcademicLiteracy #AI disciplines #DataScience #Statistics #StatisticsEducation #CognitiveScience #ComputerScience #InformationScience #SoftwareEngineering #ChatGPT #Claude #Gemini #Research #ResearchTraining #Instats

Working with Hospital Episode Statistics (HES) can unlock valuable insights for health research and policy—but producing reliable findings requires a clear understanding of how these complex data are collected, coded, structured, and managed. Join our online seminar for PhD students and professional researchers to explore HES data quality, common inconsistencies and biases, strengths and limitations, secure and confidential analysis, and the process of applying for data access. Lectures and hands-on exercises using simulated data in R or Stata will help you build practical skills you can adapt to your own projects; no prerequisites are required for the lecture sessions. Attend live via Zoom or learn asynchronously, with recordings and materials available for 30 days, plus access to an expert-moderated Q&A forum and an Instats certificate of completion. #Epidemiology #Healthcare #PublicHealth #Biostatistics #DataAnalytics #DataScience #administrativedata #InformationScience #Statistics #Ethics #Medicine #R #Stata #Research #ResearchTraining #Instats

Already using AI tools in your research but ready to move beyond one-off prompts? Join business professor Martin Qiu for a practical, three-hour online seminar on using OpenAI Codex to build structured, repeatable, and auditable research workflows. Through live demonstrations and worked examples, you’ll learn to organize project files, plan tasks for AI agents, work with local research materials, and critically evaluate AI-generated outputs—all while maintaining privacy, provenance, and human oversight. Leave with practical resources you can adapt to your own projects, including a reusable folder structure, work-order template, AGENTS.md template, and research-integrity checklist. Previously offered on June 5, 2026, the seminar received a 5/5 participant rating. Attend live via Zoom or access the recording and materials for 30 days. An official certificate of completion is provided. #ArtificialIntelligence #DataAnalytics #SoftwareEngineering #InformationScience #ComputerScience #Education #DataScience #Codex #Research #ResearchTraining #Instats

Join “Critical Theory and Learning to See,” an online seminar for PhD students and academic researchers exploring how power, knowledge, and social structures shape institutions, identities, and everyday life. Led by Thomas Arcaro of Elon University, the workshop introduces Critical Hydra Theory and its applications to research, teaching, and the analysis of interconnected social problems. Participants will consider how to connect theory with research design, interpret qualitative and documentary evidence, and develop clearer, more compelling scholarly arguments—while reflecting on the ethical questions involved in moving from care to action. Attend live via Zoom or access the recording and materials for 30 days after the seminar, with an expert-monitored Q&A forum and a certificate of completion included. #AcademicLiteracy disciplines #BehavioralSciences #CurriculumDesign #PoliticalScience #SocialTheory #Sociology #SustainableFutures #Education #Ethics #Epistemology #Philosophy #Research #ResearchTraining #Instats

Strengthen your quantitative research with an advanced, practice-oriented seminar on Multiple Regression and Mediation Analysis, led by Soleman Abu-Bader of Howard University School of Social Work. Designed for PhD students, post-PhD researchers, and academic staff, the seminar covers model specification, coding, assumptions and diagnostics, model comparison, and the interpretation of regression results in SPSS. You’ll also learn to examine direct, indirect, and total effects and use bootstrapping with the Hayes SPSS PROCESS macro to assess mediation. Build the analytical judgement to make more defensible modelling decisions and report findings clearly for publication. Join live via Zoom or learn asynchronously: recordings and materials are available for 30 days, with expert support through a seminar Q&A forum. Participants receive an Instats certificate of completion. #SocialSciences #Education #Sociology #Psychology #DataScience #Statistics #SPSS #Research #ResearchTraining #Instats

Turn complex multi-omics data into robust, reproducible biological insight. Join Dr. Nikolay Oskolkov, Group Leader (PI) at LIOS, for a hands-on online workshop designed for PhD students, postdoctoral researchers, faculty, and research professionals. Explore data preprocessing, missing data, batch effects, supervised and unsupervised integration, machine learning and deep learning, single-cell workflows, and model validation using independent datasets. Through focused lectures, case studies, and practical coding in Python and R, you’ll build skills and take away reusable notebooks and analysis pipelines for your own research. The seminar is delivered via Zoom, with recordings and materials available for 30 days, plus access to an expert Q&A forum and an official certificate of completion. Check the seminar details and register to strengthen your multi-omics toolkit. #Bioinformatics #ComputationalBiology #DataScience #MachineLearning #Statistics #Genomics #Python #RStudio #TensorFlow #Research #ResearchTraining #Instats

Join this practical seminar for PhD students and professional researchers on ethical authorship in scholarly publishing, led from the perspective of medical journal editors. Explore how to apply ICMJE authorship criteria, distinguish authors from contributors who should be acknowledged, recognise gift, guest and ghost authorship, and understand the responsibilities and accountability authors share. Through real-world case scenarios, learn how editors assess requests to change author lists after submission or publication, including the documentation and agreement required. Seminars are delivered via Zoom, with recordings and materials available for 30 days, access to an expert Q&A forum, and an Instats certificate of completion. #HealthSciences #MedicalJournalology #medicalpublishing #MedicalSciences #MedicalWriting #PublicationEthics #Communication #Medicine #Ethics #PhilosophyofScience #Research #ResearchTraining #Instats

How do you translate a regression coefficient into a clear, meaningful finding? Join Professor Ken Gerow of the Institute for Statistical and Data Science for an online seminar on interpreting logarithmic regression models. Designed for PhD students and professional researchers across the biological and social sciences, this workshop explores log-linear, linear-log, and log-log models, including percentage changes, elasticity, doubling and halving effects, and confidence intervals. Through worked examples and practical tools, you’ll build a framework for interpreting transformed model results accurately and communicating them with confidence in your research and publications. Attend live via Zoom or access the recording and materials for 30 days after the seminar; an Instats certificate of completion is provided. #Biology #Econometrics #DataScience #Statistics #Biostatistics #Economics #Excel #Research #ResearchTraining #Instats

How can we predict connections that involve groups—not just pairs? Join Professor Moses Boudourides of Northwestern University for a four-day, non-coding online workshop on hyperlink prediction in hypergraphs. Designed for PhD students, academics, and professional researchers, the workshop explores how hypergraphs can reveal collective dynamics in fields such as social science, health, bioinformatics, finance, and transportation. Discover methods for hypergraph reconstruction, hidden hyperedge prediction, and temporal forecasting, alongside approaches including similarity-based heuristics, embeddings, Hypergraph Neural Networks, and spectral methods. Participants will gain a practical conceptual toolkit for applying these ideas in their own research. Seminars are delivered via Zoom, with recordings and materials available for 30 days, plus access to an expert-monitored Q&A forum and an Instats certificate of completion. #Engineering #ComputerScience #Business #SocialSciences #DigitalHumanities #HealthSciences #InformationScience #Statistics #Mathematics #DataScience #Bioinformatics #Python #Research #ResearchTraining #Instats

Join Dr. Seraphine Maerz, Senior Lecturer at the University of Melbourne, for a practical, research-focused online seminar on fine-tuning large language models for text analysis. Designed for PhD students and professional researchers across disciplines, this hands-on workshop explores when to fine-tune and when to use alternatives such as prompt engineering, preparing and evaluating data, applying LoRA, and building reproducible workflows. Guided Jupyter/Colab notebooks make each step approachable, and no prior Python or R experience is required—just a willingness to work hands-on with code. Attend live on Zoom or learn asynchronously: seminar recordings and materials are available for 30 days, with an expert-monitored Q&A forum and a certificate of completion included. disciplines #HealthSciences #PoliticalScience #SocialSciences #InformationScience #Statistics #ComputerScience #DataScience #PublicHealth #Linguistics #GoogleColab #Jupyter #Python #R #RStudio #Research #ResearchTraining #Instats

What drives human motivation, goal pursuit, and everyday action—and how can we foster it? Join Professor Marylène Gagné of the Future of Work Institute for a two-day online workshop on Self-Determination Theory (SDT), designed for PhD students and researchers in the social and health sciences. Explore SDT’s core principles, research methods, cross-cultural considerations, and applications in education, healthcare, and the workplace, while developing practical skills to design and strengthen SDT-based research. The workshop also offers opportunities to discuss your own projects and connect with fellow researchers. Recordings and materials will be available for 30 days, and participants will receive an official certificate of completion. #Psychology #SocialWork #PublicPolicy #Education #Management #Marketing #PublicHealth #SocialTheory #Sociology #Research #ResearchTraining #Instats

How does scientific knowledge change as it moves from research papers into public, visual, digital, archival, and AI-mediated contexts? Join Diana Popa for an advanced seminar for PhD students and professional researchers that rethinks science communication as meaning-making—not simply the transfer of information. Through a case study of seaweed research, participants will explore how framing, narrative, images, authority, and audience shape the representation of evidence and uncertainty, and gain practical tools to analyse communication materials and design thoughtful pathways for sharing their own research. The seminar is relevant to researchers preparing publications, grant applications, public engagement, policy materials, and interdisciplinary outputs. Livestreamed via Zoom, with recordings and materials available for 30 days, a monitored Q&A forum, and an Instats certificate of completion. #ScienceCommunication #Education #Linguistics #InformationScience #Communication #Sociology #PhilosophyofScience #Research #ResearchTraining #Instats

How can AI systems move reliably from simulation to the real world? Join Manish Chauhan of the University of York for a 3-hour interactive seminar exploring statistically principled approaches to the SIM-to-real gap. Designed for PhD students and professional researchers in AI, robotics, biomedical engineering, and data science, the seminar will cover domain-shift diagnostics, sensor-noise modelling, Bayesian estimation, uncertainty quantification, and data-efficient adaptation. A hands-on case study and interactive Q&A clinic will help you apply these ideas to challenges such as sensor drift, latency, and limited calibration data—strengthening both deployment robustness and the evidence behind your research. Attend live via Zoom or revisit the recording and materials for 30 days after the seminar. Participants receive an Instats certificate of completion. #ArtificialIntelligence #BiomedicalEngineering #ComputerScience #DataScience #Engineering #Statistics #SoftwareEngineering #MATLAB #Python #Research #ResearchTraining #Instats

What does it take to build a rewarding career in today’s evolving STEMM landscape? Join this online seminar for PhD students and professional researchers to explore practical, evidence-informed strategies for professional development, research impact, and career transitions. Led by Belinda De Bartolo, founder of BD STEMM Strategies and co-author of Beyond the Pipeline, the seminar draws on her academic leadership experience and career-strategy work to offer realistic guidance for navigating academia and alternative career paths. Attend live via Zoom or watch the recording and revisit seminar materials for 30 days; you can also ask follow-up questions in the online Q&A Forum. Participants receive an official Instats certificate of completion, with ECTS Equivalent points noted where applicable. disciplines #OrganizationStudies #Management #Strategy #Education #Research #ResearchTraining #Instats

Explore how large language models can support rigorous, transparent qualitative research in this intensive one-day online workshop led by Seraphine Maerz (University of Melbourne) and Kenneth Benoit (SMU). With guided demonstrations and hands-on exercises in RStudio, you’ll learn to use the quallmer and ellmer packages to annotate and analyse text, PDFs, images, audio, video, and tabular data; build reproducible workflows; validate AI outputs against human coding; and consider ethical, privacy, and model-selection trade-offs. No prior R or machine-learning experience is required, and all code is annotated and reusable. Join live via Zoom or learn asynchronously with access to recordings and materials for 30 days, plus a monitored Q&A forum and an Instats certificate of completion. #ArtificialIntelligence #Communication #DigitalHumanities #HealthSciences #History #Media #PoliticalScience #SocialMedia #SocialSciences #Statistics #ComputerScience #DataScience #Education #R #Research #ResearchTraining #Instats

Strengthen your research with a practical introduction to longitudinal analysis and multilevel modeling. Led by Vikas Agrawal of Davis College of Business & Technology, Jacksonville University, this online seminar is designed for PhD students, postdoctoral researchers, and academic staff working with panel data, repeated measures, or clustered observations. Explore how to choose and interpret appropriate models—from fixed and random effects to growth curves and generalized mixed-effects models—and apply them in R. Build the skills to make sound analytical decisions and present clearer, more publication-ready findings. The seminar is delivered via Zoom, with recordings and materials available for 30 days, plus access to a seminar Q&A forum and an Instats certificate of completion. #Business #Economics #DataScience #Statistics #ggplot2 #R #Tidyverse #Research #ResearchTraining #Instats

How can we move beyond average treatment effects to understand who benefits most from an intervention? Join Professor Giovanni Cerulli of Italy’s National Research Council (CNR) for an online seminar on causal machine learning and heterogeneous treatment effects. Designed for PhD students and professional researchers, the workshop combines the potential-outcomes framework with practical Stata workflows, covering methods such as T-, AIPW-, and DR-learners, causal trees and forests, cross-fitting, overlap assessment, and communicating results responsibly. Participants will develop skills to evaluate treatment-effect heterogeneity while considering uncertainty, model stability, and equity. Attend live via Zoom or learn on demand; seminar materials and recordings are available for 30 days, and livestream participants can ask follow-up questions in an expert-monitored Q&A forum. An Instats certificate of completion is provided. #CausalInference #MachineLearning #HealthResearch #Stata #HealthSciences #DataScience #Medicine #PublicHealth #Epidemiology #Statistics #Biostatistics #Stata #Research #ResearchTraining #Instats

Advance your computational biology research with the one-day online workshop “Machine Learning for Computational Biology,” led by Nikolay Oskolkov of Molecular Biosciences, Lund University. Designed for PhD students and professional researchers, this practical workshop combines key concepts with hands-on coding in R and Python, covering neural networks, random forests, clustering, MCMC, and more—all applied to biological data. Participants will also explore model optimization, real-world case studies, and ethical best practices. Join live via Zoom or learn asynchronously with access to recordings and materials for 30 days, plus a monitored discussion forum and an Instats certificate of completion. European participants can also receive ECTS equivalent points. #Biostatistics #Genetics #DataScience #Biology #Ecology #Bioinformatics #Genomics #ComputationalBiology #ArtificialIntelligence #ComputerScience #Statistics #R #Python #Research #ResearchTraining #Instats

Join researchers from across the world for the APS Global Psychological Science Summit, exploring the challenges of building a more inclusive, representative global science. The Asia/Pacific Summit takes place online on December 8, 2026, from 9:00 a.m. to 4:45 p.m. SGT (UTC+8), with interactive sessions on cultural variation in the mind, academic careers, methods for studying daily life, large datasets, and AI in scientific publishing. Designed for PhD students, early-career researchers, and established scientists, the program also includes a listening session with APS. Register for a live summit and access materials from all three regional events on demand. Learn more and register: https://www.psychologicalscience.org/conventions/global-summit/registration #Psychology #Education #ComputerScience #Statistics #DataScience #Anthropology #CognitiveScience #Research #ResearchTraining #Instats

Join an online seminar led by Bharat Ratra exploring the foundations and frontiers of modern cosmology. Examine the standard ΛCDM model alongside dynamical dark energy and spatial curvature, and learn how researchers compare observational data, assess parameter constraints, and interpret ongoing disagreements in measurements of the Hubble constant. Designed for PhD students and professional researchers, the seminar offers practical insight into model comparison, data-set consistency, and the open questions shaping cosmology today. Attend live via Zoom or revisit the recording and seminar materials for 30 days after the event; an expert-monitored Q&A forum and an official certificate of completion are also included. #Cosmology #Physics #DataScience #Statistics #Mathematics #Physics,Astronomy #Research #ResearchTraining #Instats

Explore Bayesian phylogenetics in a hands-on, two-day workshop on BEAST2 led by Dr Joëlle Barido-Sottani of the Institute of Biology, ENS-PSL, CNRS. Designed for PhD students, academics, and professional researchers with some background in phylogenetics, the workshop covers Bayesian inference, setting priors, working with sequence and trait data, running analyses, and diagnosing and interpreting results. Learn how BEAST2’s MCMC approach accounts for uncertainty across tree topologies to support more reliable evolutionary estimates—and build practical skills you can apply to your own research. Livestreamed via Zoom, the seminar includes access to recordings and materials for 30 days, a monitored Q&A forum, and an Instats certificate of completion. Learn more about BEAST2 at https://www.beast2.org/. #Epidemiology #MolecularBiology #Evolution #Biology #Statistics #Genomics #Biostatistics #Bioinformatics #Genetics #ComputationalBiology #BEAST2 #Research #ResearchTraining #Instats

Strengthen your causal research with a practical, research-oriented survey of modern causal inference in R. Designed for PhD students and professional researchers, this seminar connects core concepts—from causal diagrams, estimands, and target-trial thinking to matching, weighting, doubly robust methods, machine learning, instrumental variables, regression discontinuity, and difference-in-differences—with hands-on R demonstrations. Learn to assess assumptions and diagnostics, choose methods that fit your research question, and communicate causal findings with greater confidence. The live seminar is timed for the Americas and Australasia, with a companion Europe/UK version also available. Attend live via Zoom or access the recordings and materials for 30 days after the seminar. disciplines #Economics #DataScience #Statistics #PublicHealth #Epidemiology #Biostatistics #R #Research #ResearchTraining #Instats

How can you turn your research experience into a compelling story of professional capability? Join Shari Walsh of Resilient Researcher for an online seminar designed for PhD students, postdoctoral researchers, and academic staff. Explore how to identify the transferable skills developed through research, distinguish specialist expertise from broader professional strengths, and present your achievements in clear, evidence-based language for academic and non-academic opportunities. Build confidence in applications, interviews, promotion materials, and career transitions by learning to communicate the value and impact of your work. The seminar is delivered via Zoom, with recordings and materials available for 30 days, an expert-moderated Q&A forum, and an Instats certificate of completion. #Psychology #Communication #Management #Education #OrganizationStudies #Research #ResearchTraining #Instats

How can you model relationships and network change with methodological confidence—without needing to code? Join Professor Moses Boudourides for an online seminar introducing no-code statistical network modeling for researchers across the sciences and digital humanities. Through an interactive application and worked examples, you’ll explore static exponential-family random graph models (ERGMs), temporal ERGMs, and stochastic actor-oriented models (SAOMs), learning how to choose appropriate models, assess assumptions and diagnostics, and interpret results for scholarly research. Designed for PhD students, postdoctoral researchers, and academics, the seminar combines conceptual foundations with practical guidance on applying network analysis to your own research. Attend live via Zoom or learn asynchronously: recordings and materials are available for 30 days, with access to an expert-monitored Q&A forum during that period. Participants receive an Instats certificate of completion. disciplines #Sociology #DataScience #Statistics #Research #ResearchTraining #Instats