Multilevel Models in R and Mplus with AI - Livestream starting Aug 20, 2026 (UTC)

Join Professor Michael Zyphur for an advanced online workshop on multilevel modeling in Mplus and R, designed for PhD students, postdocs, and professional researchers working with clustered, nested, longitudinal, or repeated-measures data. This applied seminar moves from the foundations of single-level regression to mixed-effects models, random intercepts and slopes, cross-level interactions, multilevel mediation and moderation, multilevel SEM, latent variables, simulation, diagnostics, and transparent reporting using Mplus, lme4, and lavaan. Participants will work through substantive examples using TIMSS data while also learning how tools such as Claude, ChatGPT, Gemini, and Copilot can responsibly support coding, troubleshooting, interpretation, model evaluation, and scientific verification. The workshop emphasizes defensible inference, reproducible workflows, and publishable empirical research, and is part of a two-seminar course on SEM and Multilevel Models in R and Mplus with AI, with a 10% discount available when both seminars are purchased together. All live sessions are delivered via Zoom, with recordings, materials, datasets, code, slides, and an expert-monitored Q&A forum available for 30 days after the seminar, plus an official Instats certificate of completion. #Education #DataScience #Psychology #Statistics #Mplus #R #Research #ResearchTraining #Instats

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SEM in R and Mplus with AI - Livestream starting Aug 13, 2026 (UTC)

Join Professor Michael Zyphur for an advanced, practice-oriented online seminar on Structural Equation Modeling in Mplus and R using the lavaan package, designed for PhD students, post-doctoral researchers, and professional academics working with complex survey, observational, and multi-indicator data. This workshop helps researchers move beyond regression-based thinking into latent variable modeling, covering path analysis, confirmatory factor analysis, measurement and structural models, mediation, bootstrapping, latent moderation, instrumental variable SEM, and publication-ready interpretation and reporting. A distinctive feature of the seminar is its disciplined integration of generative AI tools such as Claude, ChatGPT, Gemini, and Copilot to support coding, troubleshooting, workflow refinement, interpretation, and transparent research reporting. Participants will gain hands-on experience with TIMSS data, learn practical SEM workflows in both Mplus and R, and leave better prepared to design, estimate, critique, and report rigorous SEM studies. The seminar is part of the 2-part course “SEM and Multilevel Models in R and Mplus with AI,” with a 10% saving when both seminars are purchased together. Livestream attendance is via Zoom, with recordings, materials, and an expert-monitored Q&A forum available for 30 days after the seminar, plus an official Instats certificate of completion. #HealthSciences #LifeSciences #NaturalSciences #SocialSciences #DataScience #Psychology #Statistics #ChatGPT #Claude #Gemini #MicrosoftCoPilot #Mplus #R #Research #ResearchTraining #Instats

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Beyond ChatGPT: Building and Deploying Generative AI - On-Demand

Accelerate your research with practical skills in generative AI. Join this comprehensive 5-day online workshop, presented by the American Statistical Association and led by expert data scientist Ginger Holt, Ph.D., designed specifically for PhD students, academics, and professional researchers across the sciences. Using Python, participants will learn how to build, evaluate, govern, deploy, and monitor generative AI applications, with hands-on training in large language models, retrieval-augmented generation (RAG), embeddings, vector databases, LangChain, HuggingFace transformers, multi-stage reasoning chains, autonomous agents, and model serving. The course combines essential concepts with applied coding exercises so researchers can develop robust AI solutions tailored to their own research questions while addressing practical, ethical, and scientific considerations. Delivered via Zoom, the seminar includes take-home skill challenges, 30-day access to recordings and materials, an instructor-monitored discussion forum, and an official certificate of completion, with ECTS Equivalent points available for European students. #Biostatistics #ComputerScience #Statistics #DataScience #ArtificialIntelligence #SocialSciences #HealthSciences #NaturalSciences #MachineLearning #SoftwareEngineering #CognitiveScience #InformationScience #Python #Research #ResearchTraining #Instats

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Exploratory Multivariate Analysis in R - On-Demand

Strengthen your empirical research with our online seminar on exploratory multivariate analysis in R, designed for PhD students, postdocs, and professional researchers working with complex datasets across psychology, ecology, economics, genomics, and the social sciences. Led by SMCS at Université Catholique de Louvain, this seminar combines conceptual foundations with practical R implementation using base R and specialist packages such as FactoMineR and factoextra. Participants will learn how to apply and interpret methods including PCA, exploratory factor analysis, multidimensional scaling, correspondence analysis, and clustering, while building reproducible workflows that improve robustness, transparency, and publication-ready reporting. Through applied coding exercises and realistic research examples, the seminar addresses key issues such as preprocessing, scaling, imputation, mixed data types, diagnostics, visualization, and methodological justification. Available via Zoom with recordings, materials, and a monitored Q&A forum accessible for 30 days, the seminar also includes an official Instats certificate of completion, with ECTS Equivalent points where applicable. #DataScience #Statistics #Psychology #Mathematics #ComputerScience #R #Research #ResearchTraining #Instats

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Data Can Deceive: Causal Roadmaps - Livestream starting Aug 5, 2026 (UTC)

Join us for an online Instats workshop designed for PhD students, postdoctoral researchers, and applied research professionals who want to strengthen the credibility, transparency, and publishability of causal claims in observational and real-world data. Led by Andy Wilson, co-developer of the Causal Navigator and instructor of Causal Methods in Public Health at the University of Utah, and Kathryn Morrison, co-founder and president of Precision Analytics, the seminar moves from research aim to defensible estimand, showing how target-trial thinking, DAGs, identification assumptions, TMLE, SuperLearner, and AI-assisted workflows can support rigorous applied causal inference without replacing scientific judgment. Participants will learn how to distinguish association from causal estimands, formulate target trial protocols, assess exchangeability, positivity, and consistency, diagnose adjustment strategies, and translate vague research questions into transparent analytic plans that reviewers and collaborators can audit. The workshop is especially relevant for those working with observational cohorts, registries, administrative databases, clinical data, pharmacoepidemiology, public health, and other real-world evidence settings. Livestream sessions are delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, plus an official Instats certificate of completion. #ArtificialIntelligence #CausalInference #Real-WorldData #Real-WorldEvidence #StatisticsEducation #DataScience #PublicHealth #Epidemiology #Biostatistics #Statistics #Research #ResearchTraining #Instats

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Simulation-Based Power Analysis - Livestream starting Aug 10, 2026 (UTC)

Designing a statistically rigorous study starts with one essential question: how large should the sample be? Join Dr. Bryan Smucker from Henry Ford Health for an online workshop on simulation-based power analysis and sample size calculation using R, designed for PhD students, statisticians, data scientists, and research professionals working in biomedical and other data-driven fields. This seminar will introduce classical power analysis approaches, explain their limitations, and demonstrate how simulation can provide a more flexible and realistic way to plan studies involving ANOVA, logistic regression, mixed models, and other common statistical frameworks. Through real-world examples and active learning exercises, participants will learn how to build simulations that align with their planned analyses, balance statistical power with resource constraints, and communicate sample size tradeoffs effectively with collaborators. The seminar is offered live via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days, and participants receive an official certificate of completion. #Agriculture #AppliedResearch #Bioinformatics #Biology #BiomedicalEngineering #Biomedicine #Biostatistics #Botany #ClinicalorLaboratoryScience #ClinicalResearch #CognitivePsychology #Ecology #Engineering #Epidemiology #HealthSciences #HumanFactors #LifeSciences #Medicine #Modelling #NaturalSciences #Nursing #Psychology #Psychometrics #PublicHealth #QuantitativeMethods #RegressionModelingStrategies #SocialPsychology #Statisticalmodellingandregression #Statistics #DataScience #R #Research #ResearchTraining #Instats

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AI-Augmented Research - Livestream starting Aug 10, 2026 (UTC)

How can researchers use AI to strengthen, rather than weaken, scholarly judgement? This online Instats seminar with Moses Boudourides is designed for PhD students, postdoctoral researchers, and academic staff who want a rigorous, practice-oriented framework for AI-augmented research across the full research lifecycle. Moving beyond tool familiarity, the workshop examines how to decide what can be delegated to AI, what must be independently verified, and what must remain an irreducibly human intellectual contribution. Participants will explore responsible uses of AI for research question development, literature discovery, data preparation and analysis, visualization, writing and revision, peer review, documentation, reproducibility, authorship, disclosure, and institutional compliance. The emphasis is on methodological discipline: avoiding hallucinated sources, citation errors, hidden non-determinism, and overconfident automation while improving auditability, transparency, and the defensibility of scholarly claims. The seminar is relevant across qualitative, quantitative, mixed-methods, computational, and text-heavy research environments, and is especially useful for researchers working with complex datasets, fast-moving literatures, publication-intensive projects, or research governance. Livestream participation is via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, and participants receive an official Instats certificate of completion. disciplines #PhilosophyofScience #Ethics #DataScience #ComputerScience #InformationScience #Research #ResearchTraining #Instats

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GLMs for Applied Research - Livestream starting Aug 10, 2026 (UTC)

Join us for an online workshop on Generalized Linear Models with R, designed for PhD students and professional researchers working with binary, count, proportion, or other non-normal outcome data. Led by Eliana Ibrahimi, this seminar offers a rigorous yet applied introduction to GLMs, connecting statistical theory with practical modelling decisions in contemporary empirical research. Participants will learn how to select appropriate models, choose distributions and link functions, fit GLMs in R, interpret coefficients and predictions, assess and compare models, and report results clearly for theses, journal articles, grant proposals, and collaborative projects. The workshop is especially relevant for researchers in biostatistics and related fields who need robust tools for analysing disease status, event counts, incidence rates, bounded responses, and other non-Gaussian outcomes. Delivered via Zoom, the seminar includes access to recordings, slides, code, output, data, and an expert-moderated Q&A forum for 30 days after the workshop, making it possible to participate live or asynchronously. An official Instats certificate of completion is provided, with ECTS Equivalent points available where shown. #Biostatistics #Statistics #R #Research #ResearchTraining #Instats

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Applied Research Methods for Social Scientists - Livestream starting Aug 10, 2026 (UTC)

Join our 5-day online workshop on Applied Research Methods for Social Science and Policy, designed for PhD students and professional researchers who want to move from methodological theory to rigorous, publication-ready empirical analysis. Led by Dr James F. Downes from The Chinese University of Hong Kong and The Center for Research & Social Progress, this interactive seminar combines theory, applied case studies, and hands-on labs covering public opinion, political behavior, research ethics, survey design, mixed methods, case studies, large-N quantitative analysis, OLS and logistic regression, and introductory causal inference methods including time series and Difference-in-Differences. Participants will work with real-world policy-relevant examples, including China’s Belt and Road Initiative, populism in Europe, immigration, and climate change, while developing practical skills in Stata and SPSS, replicable workflows, .do-files, and journal-quality outputs. The seminar is delivered via Zoom with take-home skill challenges, 30-day access to recordings and materials, instructor-supported discussion, and an official Instats certificate of completion, with ECTS Equivalent points available for European students. #PoliticalScience #SocialPsychology #SocialSciences #Statisticalmodellingandregression #SurveyDesign #PublicPolicy #Statistics #Sociology #SocialTheory #Economics #Demography #DataScience #Stata #Research #ResearchTraining #Instats

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Multilevel and Single-Level Modeling: Insights from LTA (Free Seminar) - On-Demand

Advance your skills in Mplus with our online seminar for PhD students, academics, and professional researchers exploring the relationship between multilevel models and single-level multivariate models, with a special focus on Latent Transition Analysis (LTA). Led by Bengt Muthén, distinguished professor at UCLA and co-author of the Mplus software, this seminar uses worked examples to cover key topics including the foundations of LTA, logistic regression in LTA, longitudinal data with random intercepts, multiple indicators, multilevel factor analysis, and innovative approaches to multilevel latent class analysis. Participants will gain practical insight into applying these methods to real research questions, including examples from mood and dating studies, while working with seminar materials such as slides, data, input, and output files. Livestream participants can join via Zoom, complete take-home skill challenges, access recordings and materials for 30 days, and ask questions through a monitored seminar forum; on-demand participants receive 30 days of access after activating enrolment. All participants receive an official Instats certificate of completion, with ECTS Equivalent points available for European students where applicable. #SocialSciences #HealthSciences #Education #Statistics #Mplus #Research #ResearchTraining #Instats

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Introduction to Bayesian Statistical Modelling 2.0 - On-Demand

Join our 5-day online workshop, led by experienced biostatistician Dr. Rosina Savisaar, for a gentle, hands-on introduction to Bayesian statistical modelling using R. Designed for PhD students and professional researchers from all fields, this course is suitable both for those new to regression modelling and for researchers with frequentist statistics experience who want to explore Bayesian approaches to scientific inference. Starting from the basics of variable types and probability distributions, the workshop builds toward priors, likelihoods, posteriors, Bayesian regression models in brms, model checking, prediction, interpretation, and visualisation. With real datasets, practical assignments, Zoom livestream sessions, recordings, code, data, slides, and an instructor-monitored forum available for 30 days, participants will gain a solid conceptual understanding of Bayesian methods and the confidence to apply them thoughtfully in their own research. An official certificate of completion is provided, with ECTS Equivalent points available for European students. #Psychology #Anthropology #PublicHealth #Biostatistics #Genetics #Psychiatry #Statistics #Biology #Bioinformatics #Genomics #Mathematics #DataScience #ComputerScience #R #RStudio #Research #ResearchTraining #Instats

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Critical Thinking Tools for the Age of AI - On-Demand

In an era of AI-generated content, persuasive but weakly supported claims, and rapidly shifting technical narratives, researchers need more than methodological skill: they need disciplined critical judgement. Join Leonid Chindelevitch from the School of Public Health, Imperial College London, for an online Instats seminar designed for PhD students, early-career academics, and professional researchers who want to strengthen their ability to evaluate evidence, identify hidden assumptions, recognise cognitive biases, apply Bayesian reasoning, stress-test arguments, and distinguish genuine expertise from performative authority. The seminar offers a practical toolkit for analysing contested claims, improving literature appraisal, refining hypotheses, strengthening grant applications and manuscripts, and using AI tools to sharpen rather than replace critical thinking. Delivered via Zoom with recordings, materials, and a monitored Q&A forum available for 30 days, the seminar also includes an official Instats certificate of completion, with ECTS Equivalent points where applicable. #ArtificialIntelligence #BayesianStatistics #CognitiveScience #Epistemology #Real-WorldEvidence #SoftSkills #TechnologyPolicy #Well-being #Psychology #DataScience #InformationScience #Statistics #PhilosophyofScience #PublicHealth #Research #ResearchTraining #Instats

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Latent Variable Mixture Models - On-Demand

Strengthen your methodological toolkit with our online seminar on Latent Variable Mixture Models, designed for PhD students, postdoctoral researchers, academic staff, and professional researchers working with complex empirical data. Led by Holmes Finch, an experienced methodologist in educational psychology and psychometrics at Ball State University, this applied seminar will show participants how to identify unobserved subgroups, model population heterogeneity, evaluate measurement noninvariance, and apply growth, multilevel, categorical-outcome, and missing-data approaches using real-world examples and contemporary software. The seminar combines conceptual foundations with hands-on implementation, covering model specification, identification, estimation, model selection, interpretation, visualization, reproducible workflows, and transparent reporting for publication. All livestream sessions are delivered via Zoom, with recordings, slides, code, output, and data available for 30 days after the seminar, plus access to an online Q&A forum monitored by the expert. Participants receive an official Instats certificate of completion, with ECTS Equivalent points available where applicable. #Business #HumanDevelopmentandFamilyScience #Psychology #Psychometrics #Sociology #Statisticalmodellingandregression #Statistics #DataScience #Education #Mplus #Research #ResearchTraining #Instats

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Multi-proxy Multi-stimuli Experiments (Free Seminar) - On-Demand

How confident are your experimental findings when they depend on a single word, brand, face, message, or behavioral example? Join our online seminar on multi-proxy experiments with Bert Weijters of Ghent University to learn how to design studies that make stronger, more generalizable claims by treating stimuli as samples rather than fixed exemplars. Designed for PhD students, postdoctoral researchers, and professional academics working with experimental, survey, or mixed data, this workshop combines conceptual foundations with a complete R-based workflow covering proxy pool generation, pretesting, data structuring, crossed random-effects models, coding and centering decisions, cross-level interactions, bootstrapped uncertainty estimates, convergence diagnostics, and simulation-based power analysis. Participants will work through a simulated multi-proxy study and leave with annotated scripts, datasets, and a workflow cheat sheet for reproducible, publication-ready implementation. The seminar is especially relevant for researchers in psychology, applied linguistics, marketing, consumer research, organizational studies, sustainability research, and related fields. Live sessions are delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days afterward, plus an official Instats certificate of completion. #AppliedLinguistics #AppliedResearch #CognitivePsychology #ConsumerResearch #Marketing #OrganisationalPsychology #ResearchMethods #SocialPsychology #SurveyStatistics #Sustainability #SoftwareEngineering #DataScience #Psychology #Statistics #Education #R #RStudio #Research #ResearchTraining #Instats

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AI in Biopharmaceuticals (Free Seminar) - On-Demand

Join us for an online seminar exploring how AI is transforming biopharmaceutical R&D, from smarter clinical trial design and evidence generation to regulatory-ready decision-making and responsible governance. This expert panel brings together Fanni Natanegara (Eli Lilly and Company), Joseph C. Cappelleri (Pfizer), Xuewei Wang (Astellas), Dhaval Patel (ChapsVision), and Kelly H. Zou (ASA Caucus of Industry Representatives; AI4Purpose) to discuss AI-enabled clinical development, machine learning for patient-reported outcomes in oncology, enterprise knowledge layers for trustworthy AI, integrated data and predictive analytics, and the role of transparent model governance in the future of drug development. Designed for PhD students and professional researchers, the seminar offers a forward-looking view of how AI is accelerating R&D productivity, strengthening evidence for regulatory submissions, and reshaping innovation across the life sciences. The seminar is livestreamed via Zoom, with recordings, materials, and an expert-monitored Q&A forum available for 30 days after the session, plus an official Instats certificate of completion. #ArtificialIntelligence #Biostatistics #ClinicalResearch #DataAnalytics #DataScience #PharmaceuticalScience #Statistics #Medicine #ComputerScience #Research #ResearchTraining #Instats

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Retrieving Genomic Data From Ensembl (Free Seminar) - On-Demand

Join our upcoming four-hour online workshop introducing the new Ensembl Data Platform, designed for PhD students and professional researchers working with genomic data. Ensembl has supported genomics research for over 25 years, and its new platform offers enhanced data visualisation, a more intuitive interface, and access to genomic features across more than 5,000 species, including genes and variants from the Human Pangenome Reference Consortium and Darwin Tree of Life assemblies. Through guided demos, live quizzes, and practical exercises, participants will learn how to navigate the platform, retrieve and interpret genomic data, analyse variants, customise views for regions of interest, and extract focused datasets for use in research pipelines. The session also offers the chance to connect directly with Ensembl experts from EMBL-EBI, ask questions, troubleshoot research challenges, and explore how Ensembl data can support data-driven research projects. All materials will remain available online, and participants will receive an official Instats certificate of completion. #Bioinformatics #Biology #ComputationalBiology #Genetics #DataScience #Genomics #Research #ResearchTraining #Instats

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Panel-data Analysis Using Stata - Livestream starting May 18, 2027 (UTC)

Join our online seminar designed for PhD students and professional researchers looking to strengthen their applied econometrics skills in Stata. This workshop provides a practical introduction to Stata and basic regression analysis before moving into key methods for panel-data research, including fixed-effects, random-effects, correlated random-effects, Hausman and Mundlak tests, high-dimensional fixed effects, instrumental variables, dynamic panel-data models such as Arellano–Bond and Arellano–Bover/Blundell–Bond estimators, and nonlinear panel-data models for binary and count outcomes. The seminar is delivered live via Zoom, with recordings, materials, datasets, program files, outputs, and handouts available online for 30 days after the seminar, making it easy to attend live or asynchronously. Participants also receive access to a monitored Q&A forum for 30 days, an official Instats certificate of completion, and eligible European students may receive ECTS Equivalent points where applicable. #Statistics #Economics #Stata #Research #ResearchTraining #Instats

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Multilevel/Mixed Models Using Stata - Livestream starting Nov 17, 2026 (UTC)

Join our online seminar on multilevel and longitudinal data analysis, designed for PhD students and professional researchers who want to build practical skills for working with nested, hierarchical, and repeated-measures data. The workshop covers the theory and intuition behind multilevel/mixed-effects models, random-intercept and random-slope models, estimation methods, model comparison, diagnostics, longitudinal data visualization and analysis, growth curve models, alternative covariance structures, three-level and crossed-effects models, and binary/count outcomes using Stata commands such as mixed, xt, and me. You’ll also learn how to report results clearly from a multilevel modeling analysis. Attend live via Zoom or access the recordings, slides, code, output, and data online for 30 days after the seminar, with a monitored Q&A forum available for follow-up questions. Participants receive an official Instats certificate of completion, with ECTS Equivalent points available for eligible European students where indicated. #Education #Management #Medicine #OperationsResearch #Psychology #DataScience #Biostatistics #Statistics #Stata #Research #ResearchTraining #Instats

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

Strengthen your quantitative research skills with our online Stata workshop designed for PhD students and professional researchers. This practical seminar introduces the Stata interface, reproducible workflows, do-files, data management, statistical modeling, postestimation interpretation, graphics, publication-quality tables, and dynamic reporting. You’ll learn how to import and merge datasets, work with different variable types, run and interpret models, create effective visualizations, and produce research-ready outputs. Attend live via Zoom or access the recordings and all materials online for 30 days after the seminar, with an expert-moderated Q&A forum available throughout that period. On-demand participants also receive 30 days of access after activating enrollment. An official Instats certificate of completion is provided, with ECTS Equivalent points available for eligible European students where indicated. #DataAnalytics #DataScience #Statistics #SoftwareEngineering #Stata #Research #ResearchTraining #Instats

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Introduction to EViews (Free Seminar) - On-Demand

Join us for an accessible one-hour online workshop introducing EViews, the powerful statistical software widely used for time-series analysis, econometrics, and forecasting. Led by Professor Malvina Marchese, an accomplished econometrician, educator, member of the Board of Directors of the International Institute of Forecasters, and Editor for Financial Forecasting of The Oracle, this beginner-friendly session is designed for PhD students, professional researchers, and anyone with limited or no prior experience using EViews. Participants will explore the EViews interface, learn how to import and manage data, create basic graphs and tables, and perform elementary statistical analyses, while also gaining an introduction to EViews’ capabilities for time-series analysis and forecasting. Attendees are encouraged to follow along on their own computers using the freely available EViews demo, making this a practical, hands-on learning experience. The seminar will be recorded, and participants will receive 30 days of access to the recording and materials after the live session. This workshop also provides a strong foundation for those interested in continuing on to more advanced EViews training with Instats. #DataScience #Statistics #Economics #EViews #Research #ResearchTraining #Instats

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Using AI with Python for Data Analysis - On-Demand

Python has become the global standard for data science and the native language of modern AI — and this introductory online workshop shows PhD students, professors, and professional researchers how to use it through the lens of their own research. Taught by Professor Peter Gruber, who holds dual PhDs in physics and economics, this three-day seminar is designed for participants with little or no programming experience and focuses on how to reverse-engineer, understand, validate, and adapt Python code generated by AI tools such as ChatGPT, Claude, and Gemini. Using Google Colab, GitHub Copilot, and practical research examples, participants will learn the foundations of Python, data management with pandas, statistical prompting, regression analysis, debugging, reproducible workflows, and best practices for assessing AI-generated code. The seminar includes hands-on exercises, daily take-home skill challenges, real-world applications in data cleaning, simulation, descriptive statistics, time series analysis, statistical testing, and linear and nonlinear regression, plus access to recordings, slides, prompts, code, data, and an instructor-monitored discussion forum for 30 days. This is an ideal opportunity for researchers who want to move beyond “black box” AI outputs and build transparent, replicable, code-based research workflows with confidence. #Psychology #Sociology #Economics #Geography #SocialWork #Criminology #PoliticalScience #Education #Statistics #DataScience #SoftwareEngineering #ComputerScience #Mathematics #InformationScience #Python #ChatGPT #Gemini #Claude #GoogleColab #Research #ResearchTraining #Instats

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Foundations of Bioinformatics (Free Seminar) - Livestream starting Aug 3, 2026 (UTC)

Join our free online seminar introducing PhD students and professional researchers to the fundamentals of bioinformatics and “dry lab” analysis of DNA, RNA, and protein sequences — no prior programming experience required. Using open-access tools, participants will learn how sequencing data is stored digitally, how to perform basic sequence alignment with BLAST and CLUSTAL, how to retrieve and interpret genomic and protein information from databases such as NCBI and Ensembl, how to reconstruct basic phylogenies, and how to transcribe and translate DNA sequences using Expasy. This accessible seminar is ideal for researchers working with genetics, genomics, or molecular biology data who want a practical entry point into computational methods. All sessions are delivered online via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar. Participants will also receive an official Instats certificate of completion, and those who wish to continue can join the follow-up course, Accessible Bioinformatics for Windows Users: https://instats.org/seminar/accessible-bioinformatics-for-windows-us #Bioinformatics #Genetics #Genomics #Biology #ComputationalBiology #MolecularBiology #BLAST #CLUSTAL #Expasy #Research #ResearchTraining #Instats

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Data Can Deceive: Causal Roadmaps - Livestream starting Aug 5, 2026 (UTC)

How can researchers move from “interesting associations” to causal claims that are clear, defensible, and publication-ready? This online Instats workshop for PhD students, postdoctoral researchers, epidemiologists, biostatisticians, data scientists, clinical researchers, and academic staff focuses on the roadmap from research aim to estimand in observational and real-world data analysis. Led by Andy Wilson, co-developer of the Causal Navigator and instructor of Causal Methods in Public Health at the University of Utah, and Kathryn Morrison, co-founder and president of Precision Analytics, the seminar connects target-trial emulation, DAGs, identification assumptions, estimation, TMLE, SuperLearner, and AI-assisted workflows into a practical framework for applied research. Participants will learn how to formulate target trials, distinguish statistical associations from causal estimands, assess exchangeability, positivity, and consistency, diagnose adjustment strategies, and translate vague research aims into transparent analytic plans that reviewers and collaborators can audit. The workshop is designed for researchers working with observational cohorts, registries, administrative databases, clinical data, and other real-world evidence who want to strengthen the credibility, reproducibility, and clarity of their causal analyses. Live via Zoom, with recordings, materials, a monitored Q&A forum for 30 days, and an official certificate of completion provided. #ArtificialIntelligence #CausalInference #Real-WorldData #Real-WorldEvidence #StatisticsEducation #DataScience #PublicHealth #Epidemiology #Biostatistics #Statistics #Research #ResearchTraining #Instats

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RNA-seq: From FASTQ to Counts - On-Demand

Build reproducible, publication-ready RNA-seq workflows in our upcoming two-day online seminar for PhD students, professors, and professional researchers, led by Estefania Mancini from the Josep Carreras Leukaemia Research Institute. This hands-on workshop introduces community-standard nf-core pipelines executed with Nextflow, guiding participants through the full RNA-seq workflow from raw FASTQ files to QC, alignment/quantification, read count matrices, and preparation for downstream statistical analysis. Using real datasets, attendees will learn to retrieve public RNA-seq data with nf-core/fetchngs, run nf-core/rnaseq, prepare samplesheets and configuration files, interpret QC reports, troubleshoot common issues, and adapt workflows for local machines, HPC clusters, or cloud environments. Designed to build practical autonomy and reproducibility, the seminar is ideal for researchers who want to standardize their RNA-seq analyses and generate validated results ready for RStudio and publication. Livestream attendance is via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days, plus an official Instats certificate of completion. This is the first seminar in a two-part RNA-seq course, and participants enrolling in both receive a 10% discount: https://instats.org/course/rna-seq1 #Biostatistics #Genomics #MolecularBiology #Bioinformatics #Statistics #DataScience #ComputationalBiology #ComputerScience #RStudio #Research #ResearchTraining #Instats

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Agentic AI Coding for Computational Scientists - On-Demand

Join Leonid Chindelevitch (School of Public Health, Imperial College London) for an online Instats seminar on agentic AI coding techniques for computational sciences, designed for PhD students and professional researchers who want to integrate AI assistants such as Claude Code and GitHub Copilot into rigorous, reproducible research workflows. This practical workshop explores how agentic AI can help accelerate exploratory analyses, refactor legacy code, support simulation and modelling pipelines, improve documentation, and strengthen the credibility of computational results without sacrificing scientific rigour. Participants will learn how to decompose research tasks for agentic assistants, create reliable prompts and system instructions, design safe and testable agentic loops, implement unit and integration tests, benchmark outputs against domain-specific criteria, and manage risks through error-detection and rollback procedures. The seminar includes live demonstrations, practical guidance, 30-day access to recordings and materials, an online Q&A forum monitored by the expert, and an official Instats certificate of completion, making it ideal for researchers looking to use agentic AI responsibly and effectively in academic coding workflows. #ComputationalBiology #ComputationalModeling #ComputationalStatistics #ComputerScience #Mathematics #PublicHealth #Bioinformatics #Statistics #DataScience #SoftwareEngineering #ClaudeCode #GPT #GithubCopilot #Research #ResearchTraining #Instats

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Publishing Management Research in FT-50 Journals - On-Demand

Publishing in FT-50 journals is a major milestone for management scholars, but meeting the expectations of top-tier reviewers and editors requires more than a strong research idea. This online workshop, led by Arjun Mitra of California State University, Los Angeles, offers PhD students, post-doctoral researchers, and academic staff a practical, evidence-informed pathway for developing manuscripts that can compete in leading management journals. Drawing on FT-50 publications, anonymised reviewer reports, editorial experience, and exemplars from outlets such as Organization Science, Human Relations, and Journal of Business Ethics, the seminar focuses on the manuscript elements that matter most: crafting a compelling introduction, developing clear theoretical arguments, aligning empirical strategy with contribution claims, and writing persuasive discussion sections, cover letters, and rebuttals. Participants will receive hands-on guidance through manuscript clinic sessions, peer review exercises, annotated examples, and opportunities for individual feedback, leaving with concrete revisions and a clearer publication roadmap. The seminar is delivered online via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the live sessions, plus an official certificate of completion provided at the end. #Business #Ethics #HumanCapital #HumanResourceManagement #Leadership #Management #OnlineSurvey #OrganisationalPsychology #OrganizationalBehavior #OrganizationStudies #Psychology #QuantitativeMethods #SocialPsychology #SocialSciences #Writing #Education #Research #ResearchTraining #Instats

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Agentic Data Analytics: Automating Research Workflows - On-Demand

Join Peter Gruber for “Agentic Data Analytics: Automating Research Workflows,” a three-day online workshop designed for PhD students and professional researchers who want to use Agentic AI to streamline the scientific workflow—from data cleaning and wrangling to statistical analysis in R and Python, visualization, and LaTeX reporting. The seminar introduces Google Antigravity, a breakthrough Agentic AI tool that lets researchers leverage models such as Gemini Pro, Claude Opus, and GPT-OSS while running analytics locally on their own laptops, helping protect sensitive data from unnecessary cloud uploads. Alongside hands-on technical training, the workshop covers statistical decision-making and essential safety practices for working with AI agents. Taught by Peter Gruber, who holds PhDs in physics and economics and brings 20+ years of experience in statistical computing and AI-supported data science, the seminar includes Zoom livestream sessions, take-home skill challenges, 30-day access to recordings and materials, an instructor-monitored forum, and an official Instats certificate of completion, with ECTS Equivalent points available for European students. #Agent-basedModelling disciplines #AppliedResearch #ComputationalStatistics #DataScience #QuantitativeMethods #ResearchMethods #Statistics #InformationScience #ComputerScience #ArtificialIntelligence #SoftwareEngineering #PhilosophyofScience #Antigravity #Gemini #Python #R #Research #ResearchTraining #Instats

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Survey Design (Free Seminar) - On-Demand

Strengthen the credibility and publishability of your survey-based research with our online seminar on effective survey research, designed for PhD students and professional researchers in political science, public opinion, public policy, and related social sciences. Taught by Adam Berinsky of the MIT Political Experiments Research Lab, the seminar explores how sampling, questionnaire design, respondent cognition, and measurement error shape survey inference and substantive conclusions. Participants will learn practical strategies for designing better questions and response options, reducing bias, implementing cognitive interviews, split-sample tests, and pilot surveys, integrating embedded experiments and validation studies, and documenting workflows for reproducibility and peer review. Offered via Zoom with recordings, materials, and an expert-moderated Q&A forum available for 30 days, the seminar provides a flexible opportunity to build methodological skills that support stronger, more defensible empirical research. An official Instats certificate of completion is provided. #OnlineSurvey #PoliticalScience #PublicOpinion #PublicPolicy #SocialPsychology #SocialSciences #Sociology #SurveyDesign #Psychology #Statistics #SocialTheory #CognitiveScience #Research #ResearchTraining #Instats

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Computational Genomics for Microbial Traits (Free Seminar) - On-Demand

Join our upcoming online seminar for PhD students and professional researchers exploring how general-purpose computational approaches can bridge the microbial genotype-phenotype gap. This seminar will introduce methods that integrate large-scale public datasets, protein sequence-structure-function relationships, comparative genomics, and machine learning across genes, k-mers, and proteins to study microbial adaptation, pathogenesis, and phenotypic outcomes. We will highlight interpretable ML models for predicting antimicrobial resistance across 60 drugs, uncovering both known mechanisms and novel candidates linked to horizontal gene transfer, as well as approaches in comparative transcriptomics and disease-drug signatures to support host-directed drug repurposing for tuberculosis and beyond. Participants will gain exposure to microbe-, host-, and disease-agnostic methods, open-source tools, and interactive web resources for broad research use. The seminar is livestreamed via Zoom, with recordings, slides, data, and related materials available for 30 days afterward, along with a monitored Q&A forum and an official Instats certificate of completion. #Bioinformatics #Genomics #MachineLearning #Microbiology #ComputationalBiology #PharmaceuticalScience #Research #ResearchTraining #Instats

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AI in Healthcare (Free Seminar) - On-Demand

Join us for AI-Era Career Journeys, a virtual seminar designed for PhD students, postdoctoral fellows, early-career professionals, and researchers interested in how artificial intelligence is reshaping scientific discovery, healthcare, robotics, organizational strategy, and future career pathways. Featuring expert talks from Dr. Evagoras Xydas, CEO of IRERobot LTD, on robotics and intelligent systems; Dr. Or Shaked, Director of Medical Research Solutions at Briya, on AI-driven clinical research and real-world evidence; and Dr. Kelly H. Zou, CEO of AI4Purpose Inc., on responsible AI innovation, digital health, and emerging roles in the AI economy, this seminar offers practical insights into the opportunities and challenges of the AI era. Participants will benefit from live Zoom sessions, interactive Q&A, virtual networking, 30-day access to recordings and materials, an online Q&A forum, and an official Instats certificate of completion. Whether you are exploring technical, analytical, managerial, or interdisciplinary career directions, this seminar provides a timely opportunity to learn from leaders applying AI across industries and to reflect on the expanding career journeys AI is making possible. #DataAnalytics #DataScience #Haptics #Real-WorldData #Real-WorldEvidence #Robotics #PublicHealth #Pharmacology #Statistics #ComputerScience #Medicine #BiomedicalEngineering #Biostatistics #Engineering #PharmaceuticalScience #SoftwareEngineering #Python #Research #ResearchTraining #Instats

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