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Instats is a mission-driven organization devoted to improving research practices through expert-led training for PhD and post-PhD researchers across a broad range of fields, methods, and theoretical orientations across the globe.

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New Instats livestreaming seminar: Privacy Amplification for Range-Restricted Data (Free Seminar) - starting Nov 18, 2026 (UTC) #Research #Instats Full details and registration in the first reply.

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New Instats livestreaming seminar: Structural Equation Modeling with AI - starting Nov 4, 2026 (UTC) #Research #Instats Full details and registration in the first reply.

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Confounding can distort observational effects. Use a DAG to choose adjustment variables; check propensity-score overlap and balance before estimating effects. #CausalInference #R Full details and registration in the first reply.

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New Instats livestreaming seminar: Introduction to Hospital Episode Statistics #Epidemiology #Healthcare #PublicHealth #Biostatistics #DataAnalytics #DataScience #administrativedata #InformationScience #Statistics #Ethics #Medicine #R #Stata #Research #ResearchTraining #Instats

instats.orgIntroduction to Hospital Episode Statistics - Livestream starting Nov 26, 2026 (UTC) 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
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Learn AI Agents for Researchers 1.0 at your own pace! #ArtificialIntelligence #DataAnalytics #SoftwareEngineering #InformationScience #ComputerScience #Education #DataScience #Codex #Research #ResearchTraining #Instats

instats.orgAI Agents for Researchers 1.0 - On-DemandAlready 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
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Learn Building Autonomous AI Agents for Scientific Research at your own pace! #BibliometricResearch #Bioinformatics #Biology #Biostatistics #Botany #ClimateChange #ComputationalBiology #Ecology #EvolutionaryBiology #Genetics #Genomics #LifeSciences #PlantEcology #InformationScience #SoftwareEn

instats.orgBuilding Autonomous AI Agents for Scientific Research - On-DemandHow can autonomous AI agents support rigorous, reproducible scientific research? Join PhD students and professional researchers for an online seminar led by Renan Maestri, exploring how agentic AI differs from chat-based tools and how it can support literature workflows, coding, and research tasks in R. Through examples from computational biology and the life sciences, you’ll learn to compare local and cloud-based deployments, explore the open-source OpenCode ecosystem, understand token costs, and assess when AI-assisted automation is methodologically appropriate. Build the skills to use these tools critically while keeping your workflows transparent, reproducible, and auditable. The seminar is available via Zoom, with recordings and materials accessible for 30 days, a post-seminar Q&A forum, and an Instats certificate of completion. #BibliometricResearch #Bioinformatics #Biology #Biostatistics #Botany #ClimateChange #ComputationalBiology #Ecology #EvolutionaryBiology #Genetics #Genomics #LifeSciences #PlantEcology #InformationScience #SoftwareEngineering #DataScience #ComputerScience #OpenCode #RStudio #Research #ResearchTraining #Instats
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New Instats livestreaming seminar: Writing a Medical Research Paper: Draft to Submission #ClinicalResearch #MedicalJournalology #medicalpublishing #MedicalWriting #PublicationEthics #Researchmethodology #scientificpublication #scientificwriting #Linguistics #Communication #Biostatistics #Publi

instats.orgWriting a Medical Research Paper: Draft to Submission - Livestream starting Jan 21, 2027 (UTC) Turn your medical research draft into a clearer, more coherent, submission-ready manuscript. In this practical seminar series, physician, clinical epidemiologist, and CMAJ Associate Editor Behrooz Astaneh draws on his experience delivering more than 750 workshops to guide you through every stage of scientific writing—from structuring an IMRAD manuscript and reporting methods and results transparently to refining your discussion, abstract, title, and final pre-submission review. Learn through realistic examples and hands-on editing exercises, and explore how to use AI responsibly while protecting accuracy and confidentiality. Seminars are offered via Zoom, with recordings, materials, and access to an expert-moderated Q&A forum available for 30 days. Participants receive an official Instats certificate of completion. Strengthen your manuscript with practical, editor-informed guidance. #ClinicalResearch #MedicalJournalology #medicalpublishing #MedicalWriting #PublicationEthics #Researchmethodology #scientificpublication #scientificwriting #Linguistics #Communication #Biostatistics #PublicHealth #Epidemiology #ClinicalorLaboratoryScience #Medicine #Research #ResearchTraining #Instats
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Last chance to register for Understanding Large Language Models #AcademicLiteracy #AI disciplines #DataScience #Statistics #StatisticsEducation #CognitiveScience #ComputerScience #InformationScience #SoftwareEngineering #ChatGPT #Claude #Gemini #Research #ResearchTraining #Instats

instats.orgUnderstanding Large Language Models - Livestream starting Oct 23, 2026 (UTC) 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
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New Instats livestreaming seminar: Critical Theory for the 21st Century: CHT #AcademicLiteracy disciplines #BehavioralSciences #CurriculumDesign #PoliticalScience #SocialTheory #Sociology #SustainableFutures #Education #Ethics #Epistemology #Philosophy #Research #ResearchTraining #Instats

instats.orgCritical Theory for the 21st Century: CHT - Livestream starting Dec 9, 2026 (UTC) 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
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New Instats livestreaming seminar: Authorship Criteria & Post-Submission Changes: Editors' View #HealthSciences #MedicalJournalology #medicalpublishing #MedicalSciences #MedicalWriting #PublicationEthics #Communication #Medicine #Ethics #PhilosophyofScience #Research #ResearchTraining #Instat

instats.orgAuthorship Criteria & Post-Submission Changes: Editors' View - Livestream starting Feb 4, 2027 (UTC) 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
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New Instats livestreaming seminar: Beyond IMRAD: Different Types of Medical Journal Articles #ClinicalResearch #HealthSciences #MedicalJournalology #MedicalSciences #MedicalWriting #Scholarlycommunication #scientificpublication #Communication #Epidemiology #PublicHealth #ClinicalorLaboratorySc

instats.orgBeyond IMRAD: Different Types of Medical Journal Articles - Livestream starting Feb 18, 2027 (UTC) Choosing the right article format is essential to communicating medical and health research clearly and meeting a journal’s expectations. Join Behrooz Astaneh of McMaster University for a practical online seminar exploring original research articles, reviews, case reports, protocols, editorials, guidelines, and other publication types. Through comparisons, real-world scenarios, and a submission checklist, you’ll learn how purpose, evidence, structure, and journal requirements can guide your choice—and how to check a target journal’s current author instructions. Attend live via Zoom or learn asynchronously: recordings and materials, along with access to the seminar Q&A forum, are available for 30 days. Participants receive an official Instats certificate of completion. #ClinicalResearch #HealthSciences #MedicalJournalology #MedicalSciences #MedicalWriting #Scholarlycommunication #scientificpublication #Communication #Epidemiology #PublicHealth #ClinicalorLaboratoryScience #Medicine #Biostatistics #Research #ResearchTraining #Instats
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New Instats livestreaming seminar: Publication Ethics: Key Issues and Editors’ Perspectives #Ethics #HealthSciences #MedicalJournalology #medicalpublishing #MedicalSciences #MedicalWriting #PublicationEthics #Publishing #Researchintegrity #ClinicalorLaboratoryScience #PublicHealth #Law #Philos

instats.orgPublication Ethics: Key Issues and Editors’ Perspectives - Livestream starting Feb 11, 2027 (UTC) Join Behrooz Astaneh of McMaster University for an applied online seminar on publication ethics for PhD students, postdoctoral researchers, and academic professionals. Explore responsible authorship and acknowledgements, competing interests, plagiarism and text reuse, questionable research practices, image concerns, redundant publication, paper mills, copyright, and data sharing. Through medical and health sciences examples and case-based exercises, you’ll learn to assess concerns carefully, distinguish warning signs from confirmed evidence, and communicate or escalate issues appropriately. Attend live via Zoom or learn asynchronously: seminar recordings and materials, plus an expert-monitored Q&A forum, are available for 30 days after the seminar. Participants receive an Instats certificate of completion. #Ethics #HealthSciences #MedicalJournalology #medicalpublishing #MedicalSciences #MedicalWriting #PublicationEthics #Publishing #Researchintegrity #ClinicalorLaboratoryScience #PublicHealth #Law #PhilosophyofScience #Medicine #InformationScience #Research #ResearchTraining #Instats
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New Instats livestreaming seminar: From Manuscript to Publication: A Practical Guide #ClinicalResearch #MedicalJournalology #MedicalWriting #PublicationEthics #publicationscience #Researchmethodology #Scholarlycommunication #Communication #ClinicalorLaboratoryScience #Medicine #PublicHealth #E

instats.orgFrom Manuscript to Publication: A Practical Guide - Livestream starting Jan 28, 2027 (UTC) Ready to take your research manuscript from journal selection to publication with greater confidence? Join this practical, editor-informed online seminar with Behrooz Astaneh, physician, clinical epidemiologist, and Associate Editor at the Canadian Medical Association Journal. Designed for PhD students and professional researchers, the workshop covers choosing a suitable and legitimate journal, preparing a complete submission, interpreting editorial decisions and reviewer feedback, and responding strategically through revision, appeal, or resubmission. Learn through realistic examples and practical exercises, and take away reusable checklists and templates to support your publishing journey. The seminar is delivered via Zoom, with recordings and materials available for 30 days, an expert-monitored Q&A forum, and an official Instats certificate of completion. #ClinicalResearch #MedicalJournalology #MedicalWriting #PublicationEthics #publicationscience #Researchmethodology #Scholarlycommunication #Communication #ClinicalorLaboratoryScience #Medicine #PublicHealth #Epidemiology #Research #ResearchTraining #Instats
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Last chance to register for Applied Multiple Regression and Mediation #SocialSciences #Education #Sociology #Psychology #DataScience #Statistics #SPSS #Research #ResearchTraining #Instats

instats.orgApplied Multiple Regression and Mediation - Livestream starting Oct 30, 2026 (UTC) 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
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Learn Interpreting Regression Models: Reading Between the Logs at your own pace! #Biology #Econometrics #DataScience #Statistics #Biostatistics #Economics #Excel #Research #ResearchTraining #Instats

instats.orgInterpreting Regression Models: Reading Between the Logs - On-DemandHow 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
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Learn AI-Powered Bioinformatics at your own pace! #Bioinformatics #ComputationalBiology #DataScience #MachineLearning #Statistics #Genomics #Python #RStudio #TensorFlow #Research #ResearchTraining #Instats

instats.orgAI-Powered Bioinformatics - On-DemandTurn 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
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Learn Predicting Network Structure with Hypergraphs at your own pace! #Engineering #ComputerScience #Business #SocialSciences #DigitalHumanities #HealthSciences #InformationScience #Statistics #Mathematics #DataScience #Bioinformatics #Python #Research #ResearchTraining #Instats

instats.orgPredicting Network Structure with Hypergraphs - On-DemandHow 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
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Learn Self-Determination Theory for Research and Interventions at your own pace! #Psychology #SocialWork #PublicPolicy #Education #Management #Marketing #PublicHealth #SocialTheory #Sociology #Research #ResearchTraining #Instats

instats.orgSelf-Determination Theory for Research and Interventions - On-DemandWhat 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
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Last chance to register for Tuning LLMs for Text Analysis disciplines #HealthSciences #PoliticalScience #SocialSciences #InformationScience #Statistics #ComputerScience #DataScience #PublicHealth #Linguistics #GoogleColab #Jupyter #Python #R #RStudio #Research #ResearchTraining #Instats

instats.orgTuning LLMs for Text Analysis - Livestream starting Oct 30, 2026 (UTC) 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
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Last chance to register for Science Communication in an Age of AI #ScienceCommunication #Education #Linguistics #InformationScience #Communication #Sociology #PhilosophyofScience #Research #ResearchTraining #Instats

instats.orgScience Communication in an Age of AI - Livestream starting Oct 29, 2026 (UTC) 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
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New Instats livestreaming seminar: Data-Driven Methods for Deploying AI #ArtificialIntelligence #BiomedicalEngineering #ComputerScience #DataScience #Engineering #Statistics #SoftwareEngineering #MATLAB #Python #Research #ResearchTraining #Instats

instats.orgData-Driven Methods for Deploying AI - Livestream starting Nov 6, 2026 (UTC) 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
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Learn Careers in STEMM: What No One Tells ECRs at your own pace! disciplines #OrganizationStudies #Management #Strategy #Education #Research #ResearchTraining #Instats

instats.orgCareers in STEMM: What No One Tells ECRs - On-DemandWhat 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
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New Instats livestreaming seminar: Foundations of Research Design and Data Science 2.0 #Demography #ComputerScience #StatisticsEducation #Business #ComputationalStatistics #HealthEconomics #SocialSciences #InformationSystems #PopulationBiology #ComputationalSocialScience #DigitalHumanities #H

instats.orgFoundations of Research Design and Data Science 2.0 - Livestream starting Jan 18, 2027 (UTC) Strengthen your research with practical statistical skills. The 5-day online “Introduction to Research Methods and Statistics” workshop from the Centre for Applied Statistics Courses (CASC) at University College London is designed for PhD students, academics and professional researchers across disciplines. Build confidence in data visualization, experimental design, hypothesis testing, regression, multivariate analysis, statistical software and reproducible research through a blend of theory and hands-on learning. Join live via Zoom or choose the on-demand option, with seminar materials available for 30 days and an instructor-monitored forum for questions. Participants receive an Instats certificate of completion, with ECTS equivalent points available for European students. Explore the workshop and take your research skills further. #ResearchMethods #Statistics #PhD #AcademicResearch #ProfessionalDevelopment #Demography #ComputerScience #StatisticsEducation #Business #ComputationalStatistics #HealthEconomics #SocialSciences #InformationSystems #PopulationBiology #ComputationalSocialScience #DigitalHumanities #History #Statisticalmodellingandregression #CulturalEconomics #PublicHealth #Education #Epidemiology #Biostatistics #Statistics #DataScience #Economics #Research #ResearchTraining #Instats
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Last chance to register for AI-Assisted Content Analysis #ArtificialIntelligence #Communication #DigitalHumanities #HealthSciences #History #Media #PoliticalScience #SocialMedia #SocialSciences #Statistics #ComputerScience #DataScience #Education #R #Research #ResearchTraining #Instats

instats.orgAI-Assisted Content Analysis - Livestream starting Oct 29, 2026 (UTC) 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
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New Instats livestreaming seminar: Causal Machine Learning and Treatment Effects #HealthSciences #DataScience #Medicine #PublicHealth #Epidemiology #Statistics #Biostatistics #Stata #Research #ResearchTraining #Instats

instats.orgCausal Machine Learning and Treatment Effects - Livestream starting Jan 12, 2027 (UTC) 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
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New Instats livestreaming seminar: APS Global Psychological Science Summit (Asia/Pacific) #Psychology #Education #ComputerScience #Statistics #DataScience #Anthropology #CognitiveScience #Research #ResearchTraining #Instats

instats.orgAPS Global Psychological Science Summit (Asia/Pacific) - Livestream starting Dec 8, 2026 (UTC) 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
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New Instats livestreaming seminar: Dark Energy Dynamics, Curvature, or Both? (Free Seminar) #Cosmology #Physics #DataScience #Statistics #Mathematics #Physics,Astronomy #Research #ResearchTraining #Instats

instats.orgDark Energy Dynamics, Curvature, or Both? (Free Seminar) - Livestream starting Nov 16, 2026 (UTC) 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
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New Instats livestreaming seminar: Identifying and Communicating Academic Skills #Psychology #Communication #Management #Education #OrganizationStudies #Research #ResearchTraining #Instats

instats.orgIdentifying and Communicating Academic Skills - Livestream starting Nov 17, 2026 (UTC) 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
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New Instats livestreaming seminar: Machine Learning for Computational Biology #Biostatistics #Genetics #DataScience #Biology #Ecology #Bioinformatics #Genomics #ComputationalBiology #ArtificialIntelligence #ComputerScience #Statistics #R #Python #Research #ResearchTraining #Instats

instats.orgMachine Learning for Computational Biology - Livestream starting Oct 29, 2026 (UTC) 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
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New Instats livestreaming seminar: Modern Causal Inference Methods disciplines #Economics #DataScience #Statistics #PublicHealth #Epidemiology #Biostatistics #R #Research #ResearchTraining #Instats

instats.orgModern Causal Inference Methods - Livestream starting Oct 28, 2026 (UTC) 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
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New Instats livestreaming seminar: No-Code Statistical Network Modeling disciplines #Sociology #DataScience #Statistics #Research #ResearchTraining #Instats

instats.orgNo-Code Statistical Network Modeling - Livestream starting Oct 28, 2026 (UTC) 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
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New Instats livestreaming seminar: Introduction to Longitudinal Analysis & Multilevel Modeling #Business #Economics #DataScience #Statistics #ggplot2 #R #Tidyverse #Research #ResearchTraining #Instats

instats.orgIntroduction to Longitudinal Analysis & Multilevel Modeling - Livestream starting Oct 28, 2026 (UTC) 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
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Learn Applied Bayesian Modeling in Python at your own pace! #Biostatistics #Statistics #MachineLearning #ComputerScience #DataScience #Mathematics #Python #PyMC #Research #ResearchTraining #Instats

instats.orgApplied Bayesian Modeling in Python - On-DemandReady to bring Bayesian statistics into your research? Join this hands-on workshop for PhD students, data scientists, applied statisticians, and professional researchers. Using PyMC (version 5.25 or later), you’ll learn Bayesian fundamentals, build and fit models—from regression to hierarchical models—and interpret results using MCMC, ArviZ diagnostics, and posterior predictive checks. No prior experience with Bayesian statistics or PyMC is required; basic statistics and familiarity with Python, NumPy, pandas, and Jupyter are helpful. Attend live online via Zoom or learn on demand, with seminar materials and recordings available for 30 days, plus access to an expert-moderated Q&A forum and an Instats certificate of completion. Gain practical skills and confidence to apply Bayesian methods to your own projects. #Biostatistics #Statistics #MachineLearning #ComputerScience #DataScience #Mathematics #Python #PyMC #Research #ResearchTraining #Instats
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Learn Bayesian Phylogenetics with BEAST2 at your own pace! #Epidemiology #MolecularBiology #Evolution #Biology #Statistics #Genomics #Biostatistics #Bioinformatics #Genetics #ComputationalBiology #BEAST2 #Research #ResearchTraining #Instats

instats.orgBayesian Phylogenetics with BEAST2 - On-DemandExplore 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
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Learn Single-Cell Analysis with Bioconductor at your own pace! #ComputationalBiology #Bioinformatics #Biomedicine #Biostatistics #Biology #DataScience #Genomics #HighPerformanceComputing #MolecularBiology #Statistics #R #RStudio #Research #ResearchTraining #Instats

instats.orgSingle-Cell Analysis with Bioconductor - On-DemandUnlock the power of single-cell data in your research. Join Ludwig Geistlinger, Director of Computational Biology at Harvard Medical School’s Center for Computational Biomedicine, for an in-depth, hands-on 3-day online workshop on single-cell RNA-sequencing analysis with R and Bioconductor. Designed for PhD students, postdocs, academics, and industry researchers, the workshop covers the full analysis workflow—from preprocessing and quality control to dimensionality reduction, clustering, cell-type identification, differential expression, visualization, and working with large datasets and public resources. Build practical skills you can apply to your own research, with access to recordings, course materials, and instructor support for 30 days after the seminar. An official certificate of completion is provided. #ComputationalBiology #Bioinformatics #Biomedicine #Biostatistics #Biology #DataScience #Genomics #HighPerformanceComputing #MolecularBiology #Statistics #R #RStudio #Research #ResearchTraining #Instats

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John V. Kane
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🗓️ 𝐃𝐨 𝐲𝐨𝐮 𝐨𝐫 𝐲𝐨𝐮𝐫 𝐬𝐭𝐮𝐝𝐞𝐧𝐭𝐬 𝐝𝐨 𝐬𝐮𝐫𝐯𝐞𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐬? On 12/3, I'm hosting a free, 1 hr. online seminar called, "Doing Better Survey Experiments" from 1pm - 2pm (ET). Please help spread the word if you can! 🙏 instats.org/seminar/doin...

instats.orgDoing Better Survey Experiments (Free Seminar) - Livestreamed Research Training | InstatsPhD-level seminar on Doing Better Survey Experiments (Free Seminar) with John Kane . Live Q&A plus on‑demand access. Join via your university’s Instats membership or enroll directly.
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New Instats livestreaming seminar: Local LLMs: Private, Free, and Reproducible disciplines #DataScience #Econometrics #Statistics #SoftwareEngineering #InformationScience #ComputerScience #LMStudio #Ollama #Research #ResearchTraining #Instats

instats.orgLocal LLMs: Private, Free, and Reproducible - Livestream starting Oct 26, 2026 (UTC) Want to use AI for research without sending sensitive data to the cloud—or worrying about usage limits, recurring costs, and reproducibility? In this hands-on online seminar, PhD students and professional researchers will learn to select, install, and use capable open-weight language models on their own computer. With Professor Peter Gruber, you’ll explore model choice, quantization, hardware requirements, and practical tools, then connect a local model to Python and agentic workflows. Leave with a working local LLM setup and a clear understanding of what these models can—and can’t—do for your research. The seminar is part of the four-course series Using and Managing AI Agents Successfully, with a 10% discount when you enroll in all four seminars: https://instats.org/course/a-bit-of-ai-%E2%80%93-using-and-managing-agents-2 disciplines #DataScience #Econometrics #Statistics #SoftwareEngineering #InformationScience #ComputerScience #LMStudio #Ollama #Research #ResearchTraining #Instats
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New Instats livestreaming seminar: Applied Spatial Statistics Using R #DataScience #Statistics #Ecology #Epidemiology #Biostatistics #Geography #Quarto #R #Research #ResearchTraining #Instats

instats.orgApplied Spatial Statistics Using R - Livestream starting Oct 26, 2026 (UTC) Move beyond exploratory maps and build a rigorous, reproducible approach to spatial analysis in R. This online seminar for PhD students and professional researchers introduces practical methods for working with point-referenced and areal data, including spatial dependence, variograms, autocorrelation, kriging, spatial regression, model diagnostics, and prediction uncertainty. Through a combination of statistical foundations and hands-on R workflows, you’ll learn to choose and assess appropriate models, interpret results, and create publication-ready visualizations for research across fields such as environmental science, public health, ecology, agriculture, and the social sciences. Attend live via Zoom or revisit the recordings and materials for 30 days; an expert-moderated Q&A forum and an Instats certificate of completion are also included. #DataScience #Statistics #Ecology #Epidemiology #Biostatistics #Geography #Quarto #R #Research #ResearchTraining #Instats
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Last chance to register for Understanding Large Language Models #AcademicLiteracy #AI disciplines #DataScience #Statistics #StatisticsEducation #CognitiveScience #ComputerScience #InformationScience #ChatGPT #Claude #Gemini #Research #ResearchTraining #Instats

instats.orgUnderstanding Large Language Models - Livestream starting Oct 22, 2026 (UTC) How do generative AI tools really work—and how can you tell which tasks they’re suited for? In this practical online seminar, “Next Token, Please,” PhD students and researchers will explore the foundations, capabilities, and limitations of large language models and AI agents, building the intuition to choose the right tool for academic tasks—or decide when not to use AI. No programming or advanced mathematics required. Led by Professor Peter Gruber, whose AI seminars have been attended by more than 5,000 researchers, the seminar is part of Instats’ four-part course “Using and Managing AI Agents Successfully.” Enroll in all four seminars together and receive 10% off: https://instats.org/course/a-bit-of-ai-%E2%80%93-using-and-managing-agents-2 #AcademicLiteracy #AI disciplines #DataScience #Statistics #StatisticsEducation #CognitiveScience #ComputerScience #InformationScience #ChatGPT #Claude #Gemini #Research #ResearchTraining #Instats
Instats
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New Instats livestreaming seminar: Modern Causal Inference Methods (Europe/UK) disciplines #Economics #DataScience #Statistics #PublicHealth #R #Research #ResearchTraining #Instats

instats.orgModern Causal Inference Methods (Europe/UK) - Livestream starting Oct 28, 2026 (UTC) Strengthen your causal inference skills with Modern Causal Inference in R, an online seminar for PhD students and professional researchers working with observational, quasi-experimental, and policy-relevant data. Build a practical framework for choosing and evaluating methods—from causal diagrams and target-trial thinking to matching, weighting, doubly robust estimation, machine learning, instrumental variables, regression discontinuity, and difference-in-differences—with hands-on R demonstrations throughout. Learn to define estimands, assess assumptions and diagnostics, and communicate causal conclusions with greater confidence. The seminar is timed for Europe/UK; an Americas/Australasia version is also available: https://instats.org/seminar/modern-causal-inference-methods. Recordings and materials are available for 30 days after the seminar, with access to an expert-monitored Q&A forum and a certificate of completion. disciplines #Economics #DataScience #Statistics #PublicHealth #R #Research #ResearchTraining #Instats
Instats
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Last chance to register for Difference-in-Differences: Foundations to Applications #Economics #Statistics #Stata #Research #ResearchTraining #Instats

instats.orgDifference-in-Differences: Foundations to Applications - Livestream starting Oct 22, 2026 (UTC) Strengthen your causal inference toolkit with an advanced, practice-oriented seminar on Difference-in-Differences (DID), led by Tianchen Li of Middlesex University. Designed for PhD students and professional researchers, this workshop connects the counterfactual logic of DID with hands-on implementation in Stata, covering credible research design, fixed effects, interaction terms, parallel-trends diagnostics, robustness checks, dynamic effects, multi-period models, and triple differences. Learn to develop transparent, defensible identification strategies and communicate causal findings with confidence in your own research. Join live via Zoom or revisit the seminar recordings and materials for 30 days after it concludes; participants also receive an Instats certificate of completion. #Economics #Statistics #Stata #Research #ResearchTraining #Instats
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Last chance to register for Interpreting Regression Models: Reading Between the Logs #Biology #Econometrics #DataScience #Statistics #Biostatistics #Excel #Research #ResearchTraining #Instats

instats.orgInterpreting Regression Models: Reading Between the Logs - Livestream starting Oct 21, 2026 (UTC) How should you interpret a regression coefficient when your model uses logarithmic transformations? Join Professor Ken Gerow of the Institute for Statistical and Data Science for a practical workshop on interpreting log-linear, linear-log, and log-log models. Learn to translate coefficients into percentage changes, understand elasticity and doubling or halving effects, assess uncertainty and confidence intervals, and communicate results clearly in publications. Through worked examples—including examples from biological research—you’ll build a reusable framework for turning model output into precise, defensible scientific conclusions. The seminar is offered via Zoom, with recordings and materials available for 30 days, an expert-moderated Q&A forum, and an official certificate of completion. #Biology #Econometrics #DataScience #Statistics #Biostatistics #Excel #Research #ResearchTraining #Instats
Instats
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Learn R Programming for Data Analysis at your own pace! #Psychology #Sociology #Economics #Criminology #PoliticalScience #Management #Finance #Epidemiology #PublicHealth #Biostatistics #Statistics #DataScience #Ecology #ComputerScience #Mathematics #SoftwareEngineering #R #Research #Research

instats.orgR Programming for Data Analysis - On-DemandReady to take your R skills beyond the basics? Join the CASC workshop for a practical, hands-on introduction to tools that can help you manage and analyze research data more effectively. Designed for PhD students, academics, and professional researchers with basic R and statistics experience, the seminar covers RStudio, combining datasets, conditional statements, loops, and creating your own functions—with a focus on applying these skills to real-world research. Attend live via Zoom or learn on demand, revisit the materials for 30 days, and receive an official certificate of completion. European participants can also receive ECTS Equivalent points, as noted on the certificate. Register and take the next step in your R journey! #Psychology #Sociology #Economics #Criminology #PoliticalScience #Management #Finance #Epidemiology #PublicHealth #Biostatistics #Statistics #DataScience #Ecology #ComputerScience #Mathematics #SoftwareEngineering #R #Research #ResearchTraining #Instats
Instats
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Learn Introduction to Statistics in R at your own pace! #Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats

instats.orgIntroduction to Statistics in R - On-DemandReady to strengthen your quantitative research skills with R? This online seminar introduces PhD students and professional researchers to the essentials of research design, data types, visualisation, descriptive statistics, confidence intervals, hypothesis testing, p-values and linear regression. With hands-on practice in RStudio, you’ll learn to plan an analysis, choose appropriate statistical tests and regression models, and interpret and evaluate your results. Join live via Zoom or learn asynchronously with access to seminar recordings and materials for 30 days, plus a monitored Q&A forum. Participants receive an Instats certificate of completion. #Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats
Instats
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Learn Introduction to Statistics in R at your own pace! #Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats

instats.orgIntroduction to Statistics in R - On-DemandBuild confidence in quantitative research with R! Designed for PhD students and professional researchers, this online seminar introduces core statistical principles and shows you how to plan and conduct analyses using RStudio, including data visualization, descriptive statistics, confidence intervals, hypothesis testing, significance tests, and linear regression. You’ll learn to select suitable methods, assess model fit, and carry out diagnostics and predictions. Join live via Zoom or learn asynchronously: recordings and course materials are available for 30 days, with expert support through an online Q&A forum. Participants receive an Instats certificate of completion. #Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats
Instats
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New Instats livestreaming seminar: Modern Causal Inference Methods (Europe/UK) disciplines #Economics #DataScience #Statistics #PublicHealth #R #Research #ResearchTraining #Instats

instats.orgModern Causal Inference Methods (Europe/UK) - Livestream starting Oct 28, 2026 (UTC) Strengthen your causal inference skills with Modern Causal Inference in R, an online seminar for PhD students and professional researchers working with observational, quasi-experimental, and policy-relevant data. Build a practical framework for choosing and evaluating methods—from causal diagrams and target-trial thinking to matching, weighting, doubly robust estimation, machine learning, instrumental variables, regression discontinuity, and difference-in-differences—with hands-on R demonstrations throughout. Learn to define estimands, assess assumptions and diagnostics, and communicate causal conclusions with greater confidence. The seminar is timed for Europe/UK; an Americas/Australasia version is also available: https://instats.org/seminar/modern-causal-inference-methods. Recordings and materials are available for 30 days after the seminar, with access to an expert-monitored Q&A forum and a certificate of completion. disciplines #Economics #DataScience #Statistics #PublicHealth #R #Research #ResearchTraining #Instats