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Posts by Instats

Applied Bayesian Modeling in Python - On-Demand Join us for an online workshop designed for PhD students, data scientists, applied statisticians, and academic researchers who want to strengthen their skills in Bayesian statistical methods and probabilistic programming. This hands-on seminar will introduce the fundamentals of Bayesian inference and guide participants through building, fitting, and evaluating models using PyMC, with practical examples drawn from real-world datasets. No prior experience with Bayesian statistics or PyMC is required, although familiarity with regression, NumPy, pandas, and Jupyter notebooks will be helpful. Topics include priors and posteriors, MCMC, custom and hierarchical models, model checking with ArviZ, and the full Bayesian workflow. The seminar is delivered live via Zoom, with recordings and materials available for 30 days, plus a monitored Q&A forum and an official certificate of completion at the end. #Biostatistics #Statistics #MachineLearning #ComputerScience #DataScience #Mathematics #Python #PyMC #Research #ResearchTraining #Instats

Learn Applied Bayesian Modeling in Python at your own pace!

#Biostatistics #Statistics #MachineLearning #ComputerScience #DataScience #Mathematics #Python #PyMC #Research #ResearchTraining #Instats

2 hours ago 0 0 0 0
Single-Cell Analysis with Bioconductor - On-Demand Join our upcoming 3-day online workshop on single-cell RNA sequencing analysis with Ludwig Geistlinger, Director of Computational Biology at Harvard Medical School. Designed for PhD students, postdocs, academics, and professional researchers, this hands-on seminar will provide a deep dive into scRNA-seq workflows using R and Bioconductor, covering everything from data preprocessing and quality control to clustering, cell type identification, differential expression analysis, visualization, and best practices for working with large datasets. Participants will also gain insight into interoperability with tools such as Seurat and Scanpy/scverse, as well as integration with public resources like the Human Cell Atlas. Whether you are looking to strengthen your computational skills or apply state-of-the-art methods to your own single-cell data, this workshop offers practical training, expert guidance, take-home exercises, and access to recordings and materials for 30 days after the seminar. An official certificate of completion is provided, with ECTS equivalent points available for European students. #ComputationalBiology #Bioinformatics #Biomedicine #Biostatistics #Biology #DataScience #Genomics #HighPerformanceComputing #MolecularBiology #Statistics #R #RStudio #Research #ResearchTraining #Instats

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

3 hours ago 0 0 0 0
Bayesian Phylogenetics with BEAST2 - On-Demand Join us for a 2-day online workshop on Bayesian Phylogenetics with BEAST2, led by Dr Joëlle Barido-Sottani from the Institute of Biology, ENS-PSL, CNRS. Designed for PhD students, academics, and professional researchers with some background in phylogenetics, this seminar offers both a solid introduction to Bayesian methods and practical, hands-on training with the BEAST2 framework. Participants will learn how to incorporate prior knowledge, work with sequence and trait data, run Bayesian phylogenetic analyses, and interpret results while accounting for tree-topology uncertainty and other sources of variation. Whether you are looking to strengthen your theoretical understanding or apply Bayesian inference to your own research, this workshop provides the tools and confidence to take your phylogenetic analysis further. Live sessions are held via Zoom, with recordings and materials available for 30 days after the seminar, along with access to a monitored Q&A forum. An official certificate of completion is provided at the end of the seminar. #Epidemiology #MolecularBiology #Evolution #Biology #Statistics #Genomics #Biostatistics #Bioinformatics #Genetics #ComputationalBiology #BEAST2 #Research #ResearchTraining #Instats

Learn Bayesian Phylogenetics with BEAST2 at your own pace!

#Epidemiology #MolecularBiology #Evolution #Biology #Statistics #Genomics #Biostatistics #Bioinformatics #Genetics #ComputationalBiology #BEAST2 #Research #ResearchTraining #Instats

3 hours ago 1 0 0 0
Applied Research Methods for Social Scientists - Livestream starting Jul 13, 2026 (UTC) Advance your empirical research skills in a practical, 5-day interactive workshop with Dr James F. Downes (The Chinese University of Hong Kong & The Center for Research & Social Progress) designed for PhD students and professional researchers who want to move beyond theory to produce methodologically rigorous, policy-relevant work. Through hands-on labs and case studies (China’s Belt and Road Initiative, populism in Europe, immigration, and populist leadership & climate change) you’ll master survey design, mixed-methods, case-study and large-N analysis, bivariate and multivariate techniques (OLS and logistic regression), and introductory causal inference (Time Series, Difference-in-Differences, System GMM), with practical Stata/SPSS sessions and replicable .do-file workflows. The course is delivered live via Zoom with take-home challenges, a monitored seminar forum, and all recordings/materials available for 30 days (on-demand access also available); participants receive an Instats certificate of completion (ECTS-equivalent noted for European students). Learn more and register to build publication-ready, policy-relevant research skills. #PoliticalScience #SocialPsychology #SocialSciences #Statisticalmodellingandregression #SurveyDesign #PublicPolicy #Statistics #Sociology #SocialTheory #Economics #Stata #Research #ResearchTraining #Instats

New Instats livestreaming seminar: Applied Research Methods for Social Scientists

#PoliticalScience #SocialPsychology #SocialSciences #Statisticalmodellingandregression #SurveyDesign #PublicPolicy #Statistics #Sociology #SocialTheory #Economics #Stata #Research #ResearchTraining #Instats

1 day ago 0 0 0 0
R Programming for Data Analysis - On-Demand Advance your R skills with our practical workshop for PhD students, researchers and data-focused professionals who already know the basics of R and statistics. Over one hands-on day you'll master RStudio workflows, organizing and merging datasets, logical (TRUE/FALSE) checks and conditional commands (if/else), loops and writing your own functions — all taught by experienced instructors with a focus on real-world research applications. The CASC workshop includes live Zoom sessions with take-home challenges and a monitored Q&A chat for 30 days; all recordings, code, data and slides are available for 30 days after the seminar (on-demand access is also available upon activation). Participants receive an Instats certificate of completion (ECTS-equivalent points noted for European students). Register now to solidify your R toolkit and accelerate your research. #Psychology #Sociology #Economics #Criminology #PoliticalScience #Management #Finance #Epidemiology #PublicHealth #Biostatistics #Statistics #DataScience #Ecology #ComputerScience #Mathematics #SoftwareEngineering #R #Research #ResearchTraining #Instats

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

2 days ago 1 1 0 0
Introduction to Statistics in R - On-Demand Are you a PhD student or researcher looking to build practical quantitative research skills in R? This hands-on online seminar teaches the fundamentals of statistics and applied methods—study design, data types, graphical displays, summaries, confidence intervals, hypothesis testing (parametric and non‑parametric), p-values, linear regression, model selection, diagnostics and prediction—using the free R and RStudio environment so you can perform reproducible analyses. All sessions are livestreamed via Zoom (with recordings, slides, code and data available for 30 days) and include a monitored Q&A forum; an on-demand option is also available, and every participant receives a certificate of completion (ECTS equivalents shown for European students where applicable). Enroll now to learn how to plan analyses, choose the right tests and models, and present and interpret results confidently in R. #Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats

Learn Introduction to Statistics in R at your own pace!

#Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats

2 days ago 0 0 0 0
Introduction to Statistics in R - On-Demand PhD students and professional researchers: get hands-on with R and RStudio in this practical online seminar covering study designs, data types, visualization, summaries, confidence intervals, hypothesis testing (parametric & non-parametric), p-values, linear regression, model selection, diagnostics and prediction. You’ll learn to plan analyses, choose appropriate tests and regression models, evaluate goodness of fit, perform model diagnostics and make predictions — all implemented in RStudio so you can apply these skills directly to your research. Seminars are livestreamed via Zoom, with recordings, code, slides and data available for 30 days after the course and an expert-moderated Q&A forum open for 30 days; on-demand seminars offer the same 30-day access after enrollment. A certificate of completion is provided (ECTS-equivalent points shown for European students where applicable) — enroll now to strengthen your quantitative research toolkit. #Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats

Learn Introduction to Statistics in R at your own pace!

#Mathematics #DataScience #Statistics #Education #R #Research #ResearchTraining #Instats

2 days ago 0 0 0 0
High-Performance Programming for Biology - Livestream starting Jul 20, 2026 (UTC) Advance your computational biology skills with a hands-on seminar on high-performance C and C++ for genomic applications, led by Giulio Formenti (Vertebrate Genome Lab, The Rockefeller University). Designed for PhD students, postdocs, and academic researchers, the course pairs language fundamentals (syntax, memory management, templates) with practical techniques for scalable genomic workflows—data structures for k-mer spaces, multithreading, profiling, binary formats, caching and memory layout, compression/indexing, and build/tooling best practices—through coding exercises using real sequencing and genome data. All sessions are livestreamed via Zoom, recordings and materials are available for 30 days after each seminar (and on-demand access activates the same window), a monitored Q&A forum is open for 30 days post-seminar, and participants receive an Instats certificate of completion (ECTS equivalent shown for eligible European students). Join to accelerate data processing, build reproducible, publishable research software, and strengthen the computational component of your projects. #Bioinformatics #ComputationalBiology #ComputerScience #SoftwareEngineering #Genomics #C #C++ #Research #ResearchTraining #Instats

New Instats livestreaming seminar: High-Performance Programming for Biology

#Bioinformatics #ComputationalBiology #ComputerScience #SoftwareEngineering #Genomics #C #C++ #Research #ResearchTraining #Instats

2 days ago 0 0 0 0
AI-Powered Qualitative Analysis in R 2.0 - Livestream starting May 14, 2026 (UTC) PhD students and professional researchers: join Kenneth Benoit (Professor of Computational Social Science, SMU) and Seraphine Maerz (Senior Lecturer, University of Melbourne) for an intensive one-day livestream workshop on using large language models and AI tools in qualitative research—learn practical, reproducible workflows in R with the new quallmer and ellmer packages to annotate text, images, audio, video, PDFs and tabular data without deep programming expertise. Through guided RStudio demos and hands-on exercises you’ll connect to proprietary (OpenAI, Google, Anthropic) and open-source (Ollama) models, design reliable prompts, build repeatable pipelines, validate AI outputs against human coding, and evaluate ethical/data-security trade-offs. No prior R knowledge required; recordings, materials and an Instats certificate (ECTS equivalent where shown) are available for 30 days. Spaces are limited—register now. disciplines #HealthSciences #PoliticalScience #SocialSciences #Education #ComputerScience #DataScience #SocialTheory #InformationScience #Ethics #Sociology #Statistics #R #RStudio #Research #ResearchTraining #Instats

New Instats livestreaming seminar: AI-Powered Qualitative Analysis in R 2.0

disciplines #HealthSciences #PoliticalScience #SocialSciences #Education #ComputerScience #DataScience #SocialTheory #InformationScience #Ethics #Sociology #Statistics #R #RStudio #Research #ResearchTraining #Instats

2 days ago 0 0 0 0
ASA Sports Analytics Conference - Livestream starting Apr 24, 2026 (UTC) Join us for the ASA Sports Analytics Conference, a focused two-day virtual workshop (April 24–25, 2026, delivered live via Instats) bringing together PhD students, faculty, and industry researchers to push the methodological and applied frontiers of sports data science. Hear distinguished speakers including Mike Lopez (NFL), Kerrie Mengerson (Queensland University of Technology), and Rebecca Nugent (Carnegie Mellon University) and submit your work to our Call for Abstracts—we welcome innovative submissions from academics and industry (high‑level descriptions acceptable) for two tracks: Near/Recent Grad (lead/presenter finishing or finished within the past 5 years) and Open; authors of accepted abstracts receive free conference registration. Abstracts should be a single-page PDF (max 10 MB) describing data and methods (results encouraged, no identifiable info) and are due by 11:59 p.m. PT on Sunday, February 22, 2026; submit at https://tinyurl.com/VSAC2026. Decisions will be announced by late March; to receive updates, join the mailing list at https://forms.microsoft.com/Pages/ResponsePage.aspx?id=fZ3ViMuuskGQxVVZXeAlNlBLjccNNcJGkzrSJ0iZO_1UOTNSMVE4V0ZINTFPSkFFRkJTU0tXTlZENS4u. #Statistics #ComputerScience #DataScience #Research #ResearchTraining #Instats

Last chance to register for ASA Sports Analytics Conference

#Statistics #ComputerScience #DataScience #Research #ResearchTraining #Instats

2 days ago 0 0 0 0
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Deep Learning for Complex Datasets with AI 3.0 - Livestream starting Apr 29, 2026 (UTC) Join Professor Nikolay Oskolkov (Molecular Biosciences, Lund University) for a one-day intensive workshop for PhD students, academics and professional researchers eager to apply deep learning to life‑sciences research. Through lectures and hands-on sessions using R, Python, TensorFlow/Keras and ChatGPT as a coding/consulting aid, you will learn core machine- and deep-learning principles, build neural networks from scratch, apply CNNs, RNNs and autoencoders to genomic, time-series and single-cell data, and practice model evaluation, hyperparameter tuning and Bayesian approaches—all illustrated with multi-omics and personalized medicine case studies. Delivered live via Zoom with recordings, materials and a monitored forum available for 30 days after the event (on-demand access also available), the workshop provides practical, transferable skills to integrate neural-network methods and LLMs into your research and includes an Instats certificate of completion (ECTS-equivalent for European students). #Biostatistics #Genetics #ComputerScience #DataScience #Bioinformatics #ComputationalBiology #ArtificialIntelligence #MachineLearning #BiomedicalEngineering #Statistics #SoftwareEngineering #Neuroscience #MolecularBiology #Mathematics #R #Python #ChatGPT #TensorFlow #Research #ResearchTraining #Instats

New Instats livestreaming seminar: Deep Learning for Complex Datasets with AI 3.0

#Biostatistics #Genetics #ComputerScience #DataScience #Bioinformatics #ComputationalBiology #ArtificialIntelligence #MachineLearning #BiomedicalEngineering #Statistics #SoftwareEngineering #Neuroscience #Molecul

3 days ago 0 0 0 0
AI for Clinical Reasoning and Diagnosis (Free Seminar) - On-Demand Join our intensive seminar for PhD students and academic researchers on AI-driven clinical reasoning at the intersection of laboratory results, EHRs, LLMs, and causal inference: learn to integrate structured lab trajectories and free-text notes with language models to generate diagnostic hypotheses and patient-facing explanations while meeting the epistemic demands of reproducible, temporally aware research that is robust to domain shift. We cover causal graphs, counterfactual evaluation of LLM outputs, temporally aligned evaluation metrics beyond aggregate accuracy, prompt engineering and constrained generation for clinical plausibility, and practical pipelines for reproducible, publishable work — plus ethical and safety trade-offs for deployment. Participants leave with actionable evaluation strategies, reproducible patterns, experimental designs suitable for journals and grants, and a clear translational research agenda. Livestreams run via Zoom, all recordings and materials (including inputs/outputs, slides, and data) are available for 30 days after the seminar, an expert-moderated Q&A forum is open for 30 days, and attendees receive an Instats certificate of completion (ECTS-equivalent points shown for European students). Register or contact us to learn more and reserve your spot. #ArtificialIntelligence #Biomedicine #CausalInference #ComputerScience #DataAnalytics #DataScience #HealthSciences #ClinicalorLaboratoryScience #Medicine #Ethics #InformationScience #BiomedicalEngineering #Statistics #Bioinformatics #Research #ResearchTraining #Instats

Learn AI for Clinical Reasoning and Diagnosis (Free Seminar) at your own pace!

#ArtificialIntelligence #Biomedicine #CausalInference #ComputerScience #DataAnalytics #DataScience #HealthSciences #ClinicalorLaboratoryScience #Medicine #Ethics #InformationScience #BiomedicalEngineering #Statistic

4 days ago 0 0 1 0
Careers in STEMM: What No One Tells ECRs (Free Seminar) - On-Demand Are you a PhD student or early-career researcher navigating today’s changing STEMM landscape? Join Belinda De Bartolo (founder of BD STEMM Strategies and co‑author of Beyond the Pipeline) for an evidence‑informed seminar that teaches practical tactics for strategic professional development, boosting research impact, and planning career transitions—showing how changes in academic labour markets, funding and knowledge exchange affect methods, collaborations and publication strategy. Sessions are livestreamed via Zoom, with all recordings, slides and materials available for 30 days after the seminar and a monitored Q&A forum open for 30 days; on‑demand access can be activated anytime after purchase. All participants receive an Instats certificate of completion (ECTS equivalent shown for European students where applicable). Learn more and enroll today. disciplines #OrganizationStudies #Management #Strategy #Education #Research #ResearchTraining #Instats

Learn Careers in STEMM: What No One Tells ECRs (Free Seminar) at your own pace!

disciplines #OrganizationStudies #Management #Strategy #Education #Research #ResearchTraining #Instats

4 days ago 0 0 0 0
Causal Inference with AI and Machine Learning - On-Demand Join an intensive two-day online workshop that teaches the logic and practice of causal inference — from counterfactuals, DAGs, and identification to modern causal machine learning (double machine learning, causal forests) and interpretable heterogeneous treatment-effect estimation. Designed for researchers, practitioners, and policymakers, the hands-on course uses R and integrates LLM-assisted prompting to stress-test exclusion restrictions, design placebo tests, build variables, and generate clear visual explanations. You’ll learn to design and critique RCTs and quasi-experiments (IV, DiD), diagnose threats to validity, implement cross-fitting and regularization, and report assumptions and policy-relevant conclusions. Live on Zoom with take-home challenges, recordings, code, slides, and a monitored chat available for 30 days; participants receive a certificate of completion (ECTS indicated for European students). Basic comfort with statistics/regression is helpful but not required — learn more and register today. #ComputationalSocialScience #DataAnalytics #DataScience #Economics #PublicPolicy #Statistics #Econometrics #ComputerScience #RStudio #ChatGPT #ClaudeCode #Claude #Research #ResearchTraining #Instats

Learn Causal Inference with AI and Machine Learning at your own pace!

#ComputationalSocialScience #DataAnalytics #DataScience #Economics #PublicPolicy #Statistics #Econometrics #ComputerScience #RStudio #ChatGPT #ClaudeCode #Claude #Research #ResearchTraining #Instats

4 days ago 0 0 0 0
Ethnography in Risky Settings - On-Demand Join a three-day online workshop for PhD students and professional researchers exploring the politics and ethics of ethnographic engagement in risky settings: from research design and fieldwork to publication, return, and alternative modes of representation. Through collective discussion of key readings, close analysis of ethnographic cases (including the instructor’s work in the Afghan Pamirs), and structured debates, we’ll examine how violence, uncertainty, trauma, authenticity, consent, “do no harm,” authorship, and researcher positionalities (translator, advocate, friend, perceived adversary) shape what and how we represent. Sessions are livestreamed via Zoom with all recordings and materials available for 30 days, a monitored Q&A forum for 30 days, and an Instats certificate of completion (ECTS-equivalent points for European students where indicated). Register to deepen your theoretical and practical toolkit for ethically confronting complex fieldwork challenges. #Anthropology #Ethics #SocialTheory #Ethnology #InternationalStudies #Research #ResearchTraining #Instats

Learn Ethnography in Risky Settings at your own pace!

#Anthropology #Ethics #SocialTheory #Ethnology #InternationalStudies #Research #ResearchTraining #Instats

4 days ago 0 0 0 0
Regression with ChatGPT and Stata 2.0 - On-Demand PhD students and researchers: boost your statistical skills with our "Regression (with ChatGPT & Stata)" workshop—an accessible, hands-on introduction to OLS regression that combines traditional methods with AI-powered assistance. You’ll learn core concepts (sampling distributions, OLS mechanics, standard errors, hypothesis testing, predictions), multivariate models, dummy variables, and how to use ChatGPT to write Stata code and help interpret output; no prior Stata or ChatGPT experience required (Stata access and a ChatGPT account recommended). Delivered live via Zoom with practical exercises, take-home challenges, and all recordings/materials available for 30 days, the seminar includes an Instats certificate of completion (ECTS-equivalent for European students) and is the first of a three-part series (10% discount when purchasing two or more). Spaces are limited—register now to master regression for your research. #SocialSciences #Statisticalmodellingandregression #StatisticsEducation #SurveyStatistics #Education #DataScience #Statistics #ComputerScience #SocialTheory #Stata #Research #ResearchTraining #Instats

Learn Regression with ChatGPT and Stata 2.0 at your own pace!

#SocialSciences #Statisticalmodellingandregression #StatisticsEducation #SurveyStatistics #Education #DataScience #Statistics #ComputerScience #SocialTheory #Stata #Research #ResearchTraining #Instats

4 days ago 0 0 0 0
Computational Genomics for Microbial Traits (Free Seminar) - Livestream starting Apr 22, 2026 (UTC) Join our online seminar for PhD students and professional researchers to learn general-purpose computational approaches that integrate large-scale, heterogeneous public datasets to bridge the microbial genotype–phenotype gap. We cover protein sequence–structure–function relationships, comparative genomics, and interpretable machine learning across multiple molecular scales (genes, k-mers, proteins) and demonstrate high-performance AMR prediction across 60 drugs (median normalized MCC = 0.89), recovering known resistance mechanisms while uncovering novel candidates driven by horizontal gene transfer. We also explore comparative transcriptomics and disease–drug signatures to delineate host responses and accelerate host-directed drug repurposing for tuberculosis and beyond, and provide open-source software and interactive web tools that are microbe-, host- and disease-agnostic. All seminars are livestreamed via Zoom with recordings and materials available for 30 days after the seminar, a monitored Q&A forum for 30 days, on-demand access options, and a certificate of completion (ECTS-equivalent points indicated for European students); register or learn more at [link]. #Bioinformatics #Genomics #MachineLearning #Microbiology #ComputationalBiology #Research #ResearchTraining #Instats

Last chance to register for Computational Genomics for Microbial Traits (Free Seminar)

#Bioinformatics #Genomics #MachineLearning #Microbiology #ComputationalBiology #Research #ResearchTraining #Instats

4 days ago 0 0 0 0
Plotting and Programming in Python - Livestream starting Apr 22, 2026 (UTC) Join our online workshop on programming and plotting in Python, taught by The Carpentries and designed for PhD students, postdocs, and researchers who work with tabular and longitudinal data. Through hands-on, pedagogy-proven exercises you’ll learn to set up a scientific Python environment, wrangle and clean data with pandas, write reusable functions and control flow, and produce publication-quality figures with Matplotlib/Seaborn — all with an emphasis on reproducible analysis pipelines and good coding practice. Sessions move from environment setup and data import to plotting, debugging, and profiling, using Gapminder-based examples that apply to cross-sectional, panel, and multivariate research designs. Live seminars are delivered via Zoom and all recordings, slides, code and data are available for 30 days after the seminar (with a monitored Q&A forum), and participants receive an Instats certificate on completion (ECTS-equivalent points shown where applicable). If you want to reduce errors, accelerate iterative analysis, and improve the clarity and reproducibility of your research outputs, register now to secure your place. #DataScience #ComputerScience #Education #Statistics #Python #Research #ResearchTraining #Instats

Last chance to register for Plotting and Programming in Python

#DataScience #ComputerScience #Education #Statistics #Python #Research #ResearchTraining #Instats

4 days ago 0 0 0 0
AI-Powered Qualitative Analysis in R - On-Demand PhD students and qualitative researchers: join an intensive one-day workshop with Kenneth Benoit (SMU) and Seraphine Maerz (University of Melbourne) to learn a practical, rigorous approach to AI-powered qualitative analysis in R—no prior R knowledge required. Through guided demos and hands-on exercises you’ll see how R packages like quallmer and ellmer enable annotation and coding of text, images, audio, video, PDFs and tabular data; connect to proprietary models (OpenAI, Google, Anthropic) and open-source options (e.g., Ollama); design reliable prompts; build reproducible, publication-ready pipelines; and work ethically with data protection and model-choice trade-offs. Materials, recorded demos and a monitored Q&A forum are available for 30 days after the seminar, and participants receive a certificate of completion (ECTS equivalents noted where applicable). Learn more and secure your place via the seminar page. disciplines #HealthSciences #PoliticalScience #SocialSciences #Education #ComputerScience #DataScience #SocialTheory #InformationScience #Statistics #R #RStudio #Research #ResearchTraining #Instats

Learn AI-Powered Qualitative Analysis in R at your own pace!

disciplines #HealthSciences #PoliticalScience #SocialSciences #Education #ComputerScience #DataScience #SocialTheory #InformationScience #Statistics #R #RStudio #Research #ResearchTraining #Instats

5 days ago 0 0 0 0
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Finding Unpublished Clinical Trial Data - On-Demand Join our half-day online seminar to master how to find and record crucial trial information from ClinicalTrials.gov, the WHO ICTRP, Cochrane CENTRAL, clinical study reports and regulatory sources (EMA, FDA, Health Canada), including unpublished results and ongoing research that often never reaches traditional publications. Led by Carol and Julie—each with 30 years’ experience in information retrieval for evidence synthesis—this practical workshop is ideal for clinicians, information specialists, librarians and researchers who need reliable strategies for searching trial registers and regulatory datasets and for documenting their searches. The seminar is livestreamed via Zoom, with recordings, slides and materials available for 30 days after the event and a monitored Q&A forum for follow-up; an Instats certificate of completion (and ECTS equivalent where indicated) is provided. Save 10% when you register for this seminar and "Search Filters for Evidence Synthesis" together. Learn more and register: https://instats.org/course/key-search-issues-finding-trials-using1 #Healthcare #HealthSciences #InformationScience #Medicine #Multidisciplinary #Nursing #PharmaceuticalScience #Biostatistics #Epidemiology #PublicHealth #ClinicalorLaboratoryScience #Pharmacology #Research #ResearchTraining #Instats

Learn Finding Unpublished Clinical Trial Data at your own pace!

#Healthcare #HealthSciences #InformationScience #Medicine #Multidisciplinary #Nursing #PharmaceuticalScience #Biostatistics #Epidemiology #PublicHealth #ClinicalorLaboratoryScience #Pharmacology #Research #ResearchTraining #Insta

5 days ago 0 0 0 0
Tuning LLMs for Text Analysis - On-Demand Fine-tuning large language models for text analysis is now an essential methodological skill for researchers—join a one-day, practical workshop with Dr Seraphine Maerz (Senior Lecturer, University of Melbourne) to learn when to fine-tune (and when to prefer prompt engineering), how to prepare and annotate data responsibly, and how to build reproducible evaluation pipelines. Designed for PhD students, professors and research professionals across Health Sciences, Political Science and the Social Sciences, the day pairs concise conceptual overviews with guided, user-friendly Jupyter/Colab notebooks and hands-on Python and R (RStudio) exercises—no prior Python or R experience required, but participants should be ready to work with code. You will walk away with reproducible code, decision rules for choosing fine-tuning strategies, practical skills in LoRA and classifier heads, evaluation and error analysis techniques, and best practices for reproducibility and ethics. The seminar is livestreamed via Zoom, all recordings and materials (and a monitored Q&A forum) are available for 30 days after the event, and attendees receive an Instats certificate of completion (ECTS equivalent shown for European students). disciplines #HealthSciences #PoliticalScience #SocialSciences #InformationScience #Statistics #ComputerScience #DataScience #Ethics #GoogleColab #Jupyter #Python #R #RStudio #Research #ResearchTraining #Instats

Learn Tuning LLMs for Text Analysis at your own pace!

disciplines #HealthSciences #PoliticalScience #SocialSciences #InformationScience #Statistics #ComputerScience #DataScience #Ethics #GoogleColab #Jupyter #Python #R #RStudio #Research #ResearchTraining #Instats

5 days ago 0 0 0 0
Web Scraping and Data Collection - Livestream starting May 13, 2026 (UTC) Join an intensive, research-focused seminar led by Moses Boudourides (Data Science Graduate Program, School of Professional Studies, Northwestern University) that teaches rigorous, publication-oriented web scraping and structured data collection for PhD students, postdocs, and researchers across computational social science, finance, health and life sciences. You’ll learn practical no-code and programmatic techniques (Python/R), methods for handling dynamic content and APIs, parsing and transforming HTML/JSON into analysis-ready datasets, and best practices for validation, provenance, ethics, rate-limiting, and reproducible pipelines—leaving with reusable scripts, templates, and documented workflows you can apply to your own projects. All seminars are livestreamed via Zoom, with recordings, materials and a monitored Q&A forum available for 30 days after the seminar; an Instats certificate of completion is provided (ECTS equivalents noted for European students where shown). Register now to accelerate your empirical research with defensible, reproducible web-derived data. #AppliedResearch #ComputationalSocialScience #DataScience #DataScraping #Finance #HealthSciences #LifeSciences #Statistics #ComputerScience #Python #R #Research #ResearchTraining #Instats

New Instats livestreaming seminar: Web Scraping and Data Collection

#AppliedResearch #ComputationalSocialScience #DataScience #DataScraping #Finance #HealthSciences #LifeSciences #Statistics #ComputerScience #Python #R #Research #ResearchTraining #Instats

5 days ago 0 0 0 0
Dimension Reduction for Complex Datasets 2.0 - Livestream starting Apr 27, 2026 (UTC) Join "Dimension Reduction for Complex Datasets," a hands‑on workshop by Dr. Nikolay Oskolkov (Lund University) tailored for PhD students, professors and researchers working with high‑dimensional data (e.g., single‑cell genomics and other life, health, and social science applications). The workshop covers both theory and practice — including why dimension reduction matters, preprocessing, tSNE and UMAP, choosing and interpreting methods, R/Python implementations, case studies, hands‑on exercises and common pitfalls — plus take‑home challenges to cement learning. Delivered live via Zoom with all recordings, code, data and slides available for 30 days (also available on‑demand with 30‑day access) and a monitored seminar forum for follow‑up questions, participants receive an Instats certificate of completion (ECTS‑equivalent info provided for European students). Register to gain practical skills that will make your complex datasets more manageable, interpretable and research‑ready. #Biology #Bioinformatics #Genomics #ComputationalBiology #Statistics #DataScience #Biostatistics #Mathematics #ComputerScience #R #Python #Research #ResearchTraining #Instats

New Instats livestreaming seminar: Dimension Reduction for Complex Datasets 2.0

#Biology #Bioinformatics #Genomics #ComputationalBiology #Statistics #DataScience #Biostatistics #Mathematics #ComputerScience #R #Python #Research #ResearchTraining #Instats

6 days ago 0 0 0 0
Introduction to R, Regression, and the rms Package - Livestream starting May 11, 2026 (UTC) Join our hands-on workshop for PhD students and researchers to master R, RStudio, and the rms package for building, diagnosing, and reporting simple and multiple linear regression models: you’ll gain practical skills in script-based data import, cleaning and annotation, the R formula language, fitting and interpreting models, composite tests and ANOVA-style comparisons, extracting predictions and intervals, diagnostic plots, and authoring reproducible Quarto HTML reports—demonstrated end-to-end with a body‑fat estimation case study. Seminars are livestreamed via Zoom, recordings and all materials are available for 30 days after the live event (or 30 days after you activate on‑demand enrollment), and an expert‑moderated Q&A forum is open for 30 days; participants receive an Instats certificate on completion (ECTS‑equivalent points shown for European students where applicable). Ideal for researchers who want rigorous, transparent regression workflows—register now or choose the on‑demand option to learn at your own pace. #Biostatistics #Epidemiology #QuantitativeMethods #SoftwareEngineering #Statistics #DataScience #R #RStudio #Quarto #Research #ResearchTraining #Instats

New Instats livestreaming seminar: Introduction to R, Regression, and the rms Package

#Biostatistics #Epidemiology #QuantitativeMethods #SoftwareEngineering #Statistics #DataScience #R #RStudio #Quarto #Research #ResearchTraining #Instats

1 week ago 0 0 0 0
Applied Research in the AI Era (Free Seminar) - Livestream starting Apr 27, 2026 (UTC) Join the Academy of Marketing Science for a practical online workshop on integrating contemporary AI methods into rigorous academic research with a focus on Marketing Research. Three leading scholars—Simon Blanchard (Georgetown University), Charles Crabtree (Monash University), and Wassili Lasarov (Audencia)—will present complementary perspectives on how AI can strengthen research design, execution, and publication outcomes. The seminar combines conceptual foundations with hands‑on guidance so participants can apply methods immediately; all sessions are livestreamed via Zoom and recordings, slides, code/output and data will be available for 30 days after the seminar (on‑demand access is also available for 30 days after activation). An online Q&A forum will be monitored by the experts for 30 days post‑seminar, and participants receive an Instats certificate of completion (ECTS‑equivalent points noted for European students where applicable). Ideal for PhD students and professional researchers wanting to boost the quality, efficiency, and impact of their work—visit the Instats seminar page to learn more and register. #Administration #Business #Marketing #SocialSciences #ComputerScience #Statistics #DataScience #Research #ResearchTraining #Instats

New Instats livestreaming seminar: Applied Research in the AI Era (Free Seminar)

#Administration #Business #Marketing #SocialSciences #ComputerScience #Statistics #DataScience #Research #ResearchTraining #Instats

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AI-Powered Qualitative Analysis in R 2.0 - Livestream starting Apr 17, 2026 (UTC) Join Kenneth Benoit (SMU) and Seraphine Maerz (University of Melbourne) for an intensive one-day workshop that introduces an accessible, rigorous approach to AI-powered qualitative analysis in R: learn how the quallmer and ellmer packages translate LLM capabilities into practical tools for annotating text, images, audio, video, PDFs and tabular data, connect to proprietary (OpenAI, Google, Anthropic) and open-source (e.g., Ollama) models, design reliable prompts, and build reproducible RStudio pipelines — all with no prior R experience required. Through short lectures, guided demos and hands-on exercises you will apply AI-assisted coding (sentiment, ideology detection, multimedia annotation), validate AI outputs against human coding, evaluate ethical and data-security trade-offs, and take away annotated code and workflows you can adapt to your own projects. Recordings, materials and a monitored 30-day Q&A forum are provided after the seminar (certificate of completion and ECTS equivalents where shown); installation instructions are provided in advance — bring a laptop with R and RStudio if you want to follow along live, or attend asynchronously. disciplines #HealthSciences #PoliticalScience #SocialSciences #Education #ComputerScience #DataScience #SocialTheory #InformationScience #Ethics #Sociology #R #RStudio #Research #ResearchTraining #Instats

Last chance to register for AI-Powered Qualitative Analysis in R 2.0

disciplines #HealthSciences #PoliticalScience #SocialSciences #Education #ComputerScience #DataScience #SocialTheory #InformationScience #Ethics #Sociology #R #RStudio #Research #ResearchTraining #Instats

1 week ago 0 0 0 0
Difference-in-Differences (DiD) with Panel Data - On-Demand Join a livestream workshop taught by distinguished economics professor Jeffrey Wooldridge to master basic and advanced difference‑in‑differences (DiD) methods for causal inference with longitudinal panel data—through clear conceptual discussion and hands‑on Stata illustrations. Topics include common‑timing and two‑period DiD, event‑study (leads and lags) and staggered rollouts (with and without exit), covariates and time‑varying controls, regression and imputation approaches, matching, IPW and doubly‑robust estimators, inference with clustered or small samples, unbalanced panels, and recent nonlinear DiD methods for binary, fractional, and count outcomes. This workshop is the fourth in the structured course "From Static Models to Causal Inference and DiD Estimation" (register for the full course to receive a 10% discount; each two‑seminar set is also available standalone). All sessions are livestreamed via Zoom, include a 30‑day access window to recordings and materials plus a monitored Q&A forum, and participants receive an Instats certificate of completion (ECTS‑equivalent points shown for European students)—ideal for PhD students and applied researchers who want practical, research‑ready DiD skills. #Statistics #Economics #DataScience #PublicHealth #Stata #Research #ResearchTraining #Instats

Learn Difference-in-Differences (DiD) with Panel Data at your own pace!

#Statistics #Economics #DataScience #PublicHealth #Stata #Research #ResearchTraining #Instats

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What is GIS? (Free Seminar) - On-Demand Understanding GIS is increasingly essential for modern research — join Dr Nick Bearman (UCL / Geospatial Training Solutions) for a free, introductory livestream workshop designed for PhD students, academics and professional researchers to learn core GIS concepts, spatial data types, visualization and analysis techniques, best practices for data management, and how to apply GIS across disciplines; sessions are delivered via Zoom, include a 30-day access window to recordings and materials plus a monitored Q&A forum, and participants receive an Instats certificate (ECTS-equivalent where indicated). If you want to advance further, Dr Bearman also offers two multi-part courses with an automatic 10% discount: QGIS: A Full Course (https://instats.org/course/qgis-a-full-course2) and GIS in R: A Full Course (https://instats.org/course/gis-in-r-a-full-course2). Find full details and registration at instats.org — a practical way to add a spatial dimension to your research toolkit. #Geography #InformationSystems #SpatialEcology #Ecology #EarthScience #Statistics #DataScience #InformationScience #Research #ResearchTraining #Instats

Learn What is GIS? (Free Seminar) at your own pace!

#Geography #InformationSystems #SpatialEcology #Ecology #EarthScience #Statistics #DataScience #InformationScience #Research #ResearchTraining #Instats

1 week ago 0 0 0 0
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Behavioral Science of LLMs (Free Seminar) - On-Demand Curious whether LLMs really think like humans—or systematically differ? Join Antonios Stamatogiannakis (IE Business School) for an intensive seminar that probes when and how contemporary LLMs mirror, amplify, reduce or even reverse well‑documented human biases. Designed for PhD students, academics, and research professionals, the workshop combines decision‑theory and behavioral foundations with ten controlled experiments, hands‑on work in a custom GPT application (prompt design, stimulus presentation, logging), and a full reproducible research pipeline (experimental design, statistical analysis, replication, ethics). You’ll leave with concrete project ideas, a reusable experimental template, and guidance for turning results into conference papers or thesis chapters. Live via Zoom with recordings, materials, and a monitored Q&A available for 30 days after the seminar; certificate of completion (ECTS equivalent where indicated) provided. Learn more and register today. #ArtificialIntelligence #Business #DecisionTheory #Management #Marketing #Psychology #SurveyDesign #Statistics #CognitiveScience #DataScience #Customapplication #GPT #Research #ResearchTraining #Instats

Learn Behavioral Science of LLMs (Free Seminar) at your own pace!

#ArtificialIntelligence #Business #DecisionTheory #Management #Marketing #Psychology #SurveyDesign #Statistics #CognitiveScience #DataScience #Customapplication #GPT #Research #ResearchTraining #Instats

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Introduction to Web App Development with Shiny in Python - Livestream starting Apr 28, 2026 (UTC) Turn your analyses into interactive, reproducible tools with our hands‑on seminar on Shiny for Python — no JavaScript required. Designed for PhD students, postdocs and academic staff, this workshop (taught by Dr Fodil Ihaddaden) shows how to combine the Python scientific stack (pandas, matplotlib, plotly) with a reactive UI layer to build interactive figures, dashboards and small apps that enhance transparency, speed up discovery, and strengthen manuscripts, teaching and grant outputs. You’ll learn core Shiny concepts, reactive programming, modular app structure, debugging and testing strategies, performant plotting for large data, and basic deployment — capped by a mini project and practical design guidance that supports reproducible research. Livestream sessions on Zoom are complemented by 30‑day access to recordings, materials and a monitored Q&A forum; a certificate of completion is provided (ECTS equivalent points shown where applicable). Register or contact us to learn more. #Bioinformatics #Economics #SoftwareEngineering #ComputerScience #DataScience #Python #Research #ResearchTraining #Instats

New Instats livestreaming seminar: Introduction to Web App Development with Shiny in Python

#Bioinformatics #Economics #SoftwareEngineering #ComputerScience #DataScience #Python #Research #ResearchTraining #Instats

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