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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Vous souhaitez intégrer des données désagrégées et intersectionnelles de façon plus rigoureuse dans vos travaux de recherche? Ce séminaire en ligne destiné aux doctorantes et doctorants, postdoctorantes et postdoctorants, ainsi qu’aux chercheuses, chercheurs et membres du corps professoral, propose une exploration approfondie du Carrefour des statistiques sur le genre, la diversité et l’inclusion (SGDI) de Statistique Canada. Animé par François Marshall, dont l’expertise au sein de Statistique Canada offre un accès privilégié aux logiques de production, de diffusion et d’interprétation des données officielles, ce séminaire aidera les participantes et participants à mieux repérer, évaluer et mobiliser les ressources SGDI dans des projets portant sur l’équité, les inégalités sociales, la santé, le travail, l’éducation, les politiques publiques ou les trajectoires de vie. L’accent sera mis sur les usages concrets pour la formulation de questions de recherche, l’analyse comparative de groupes et sous-populations, l’interprétation des limites méthodologiques et l’amélioration de la transparence et de la robustesse des résultats. Offert en direct sur Zoom, avec accès aux enregistrements, au matériel et à un forum de questions-réponses pendant 30 jours, ce séminaire constitue une occasion précieuse de transformer la consultation de données statistiques en compétence de recherche avancée. Un certificat officiel de réussite Instats est remis à la fin du séminaire. #Statistics #Sociology #PublicPolicy #DataScience #Demography #Research #ResearchTraining #Instats

Join Paolo Trucillo for an online seminar revisiting John B. Calhoun’s Universe 25 experiment as a powerful lens for examining how material environments, social structures, and behaviour interact. Designed for PhD students, postdoctoral researchers, and professional researchers, this seminar moves beyond the experiment as a historical reference to explore how abundance, spatial organisation, resource distribution, and environmental governance can shape social roles, interaction patterns, and behavioural outcomes. Participants will learn how to translate the Universe 25 narrative into researchable questions and comparative frameworks relevant to engineering, human factors, sustainability, and socio-technical studies, while also critically assessing the strengths and limits of applying animal-model insights to human-centred research. The seminar is delivered online via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the session, making it easy to participate live or asynchronously. An official Instats certificate of completion is provided, with ECTS Equivalent points available where shown. #Engineering #HumanFactors #Sustainability #Psychology #Sociology #SocialTheory #Ethics #Powerpoint #Research #ResearchTraining #Instats

Join our one-day online workshop on AI-powered image analysis for PhD students, professors, and professional researchers, led by Nikolay Oskolkov, Group Leader/PI at LIOS. This intensive hands-on seminar bridges rigorous theory and practical implementation, showing how to turn microscopy, high-throughput imaging, and clinical image datasets into reproducible, publication-ready measurements. Participants will work with ChatGPT-assisted coding, Jupyter notebooks on Linux, and Python-based tools to build end-to-end image analysis workflows covering CNNs, transfer learning, UNet, Mask R-CNN, object detection, OpenCV, OTSU thresholding, Bayesian uncertainty quantification, GRAD-CAM interpretability, evaluation metrics, experiment tracking, and reproducible reporting. By the end of the workshop, attendees will be able to design and implement segmentation, detection, and classification pipelines for biological image data, critically evaluate model performance, and prepare robust analyses for theses, papers, and grant applications. The seminar is delivered live via Zoom, with recordings, slides, code, data, and a monitored Q&A forum available for 30 days after the event, plus an official Instats certificate of completion. #ComputationalBiology #DataAnalytics #DataScience #MachineLearning #BiomedicalEngineering #Bioinformatics #ComputerScience #ArtificialIntelligence #ChatGPT #Jupyter #Linux #Python #R #Research #ResearchTraining #Instats

Why do we see red, feel blue, or turn green with envy? Join our one-day online seminar with Dr Domicele Jonauskaite (Institute of Psychology, University of Lausanne) to explore the fascinating intersection of colour perception, emotion, language, and culture. Designed for PhD students, post-docs, professors, and research professionals, this workshop will synthesize evidence from a recent systematic review and large-scale research spanning 73 countries and 46 languages, examining which colour–emotion associations may be universal and which are shaped by cultural, geographic, and linguistic context. Participants will gain insight into cross-cultural research design, reproducible and quantitative methods, and mechanistic evidence from colour-blind and blind populations, with opportunities to discuss collaborative projects, preregistration, and publication strategies. The seminar will be held via Zoom, with recordings, slides, materials, and a monitored Q&A forum available for 30 days afterward, and participants will receive an official Instats certificate of completion. #AffectiveScience #CognitivePsychology #CulturalStudies #Psychology #QuantitativeMethods #Statistics #Anthropology #Linguistics #CognitiveScience #Research #ResearchTraining #Instats

How can researchers and instructors use Large Language Models responsibly without compromising scholarly validity, attribution, or trust? This online seminar for PhD students and professional researchers introduces a practical, researcher-controlled framework for governing LLM use in academic workflows, from manuscript and grant writing to thesis supervision, syllabus design, assessment, and grading. Moving beyond simple fact-checking, the seminar focuses on deeper epistemic and ethical challenges such as structural hallucination, citation distortion, thematic incoherence, and unclear intellectual attribution. Participants will learn a computationally lightweight validation pipeline using familiar tools such as Python, NetworkX, NLP methods, citation parsing, bibliometric analysis, and knowledge graphs to evaluate whether LLM-assisted work is structurally coherent, bibliographically grounded, and methodologically responsible. The seminar is designed for those who want to integrate LLMs into serious academic work without treating them as uncontrolled text generators, and participants will leave with practical protocols for auditing, supervising, and documenting human–LLM collaboration. The seminar is offered online via Zoom, with recordings and materials available for 30 days, an online Q&A forum, an official Instats certificate of completion, and ECTS equivalent points where applicable. disciplines #ArtificialIntelligence #BibliometricResearch #ComputerScience #HigherEducation #Management #OrganizationStudies #ResearchMethods #SocialNetworkAnalysis #Education #DataScience #InformationScience #Ethics #Epistemology #PhilosophyofScience #OpenAI #Python #Research #ResearchTraining #Instats

Make your research more reproducible, collaborative, and ready for reuse with “FAIR Data Practices with R, Git & Agile,” an online hands-on workshop for PhD students, postdocs, professors, and research staff led by Estefania Mancini from the Josep Carreras Leukaemia Research Institute. This practical seminar will show you how to apply FAIR principles while using RStudio, GitHub/GitLab, R Markdown, and Agile workflows to structure projects, manage versions, document code and data, and produce outputs that meet institutional and funder expectations. Across two sessions, you will build a FAIR-ready repository with a clear project structure, README, LICENSE, CITATION and metadata files, release notes, archivable outputs, and a draft DMP/SDMP you can adapt for grants, thesis work, lab practice, or collaborative research. No advanced Git experience is required, and all participants receive access to recordings, materials, and a monitored Q&A forum for 30 days after the seminar, plus an official Instats certificate of completion. #Education #InformationScience #ComputerScience #SoftwareEngineering #DataScience #Git #RStudio #Research #ResearchTraining #Instats

Join us for a three-day online seminar on Demand Prediction in Supply Chains, taught by Isik Bicer (Schulich School of Business, York University), designed specifically for PhD students, faculty, and professional researchers. This hands-on workshop bridges statistics, machine learning, and operations research, combining rigorous theory with practical Python implementation to help participants build reproducible, research-ready forecasting workflows. Across live lectures and labs, attendees will explore regression and tailored regularization, SARIMA time-series forecasting, classification models for product selection, Monte Carlo simulation and evolutionary modeling, model validation, backtesting, calibration, and cost-sensitive evaluation aligned with supply-chain objectives. Participants will work with annotated Jupyter notebooks, realistic datasets, and tools such as scikit-learn and statsmodels, leaving with concrete skills to support dissertation research, scholarly publications, and real-world supply-chain decision-making. The seminar is offered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, plus an official Instats certificate of completion. #MachineLearning #Statistics #SupplyChainManagement #Management #ComputerScience #DataScience #OperationsResearch #Economics #Python #Research #ResearchTraining #Instats

Unlock the power of bioinformatics on your Windows computer! This online seminar is designed for PhD students and professional researchers who need to run Linux-based bioinformatics tools without investing in a dedicated Linux machine or relying solely on cloud services. Using Windows Subsystem for Linux (WSL), participants will learn how to install and configure a practical bioinformatics environment on Windows, work with essential Linux tools alongside native Windows applications, and apply common workflows for sequencing data processing, visualization, genome assembly, sequence alignment, RNA-seq analysis, genome annotation, and differential expression analysis. Across five practical sessions, the course covers WSL, conda, Notepad++, R, Python, IGV, FastQC, FASTA formats, basecalling, genome assembly, RNA-seq mapping, and a complete end-to-end demonstration. No prior WSL experience is required, though basic molecular biology knowledge is helpful. Seminars are delivered via Zoom, with recordings, slides, data, and materials available for 30 days after the seminar, plus access to an online Q&A forum monitored by experts. Participants receive an official Instats certificate of completion, with ECTS Equivalent points available where applicable. #Bioinformatics #Biology #Biomedicine #Genetics #Phylogenetics #DataScience #ComputationalBiology #Python #R #WSL #Research #ResearchTraining #Instats

Boost your research workflow with the online workshop “Useful Tools for Data Science in R,” offered by SMCS at the Université Catholique de Louvain and designed for PhD students, professors, and professional researchers. This practical seminar will help participants work more efficiently and reproducibly by integrating R with GitHub, Copilot, Visual Studio Code, and RStudio, while strengthening skills in version control, AI-assisted coding, collaboration, and automation. Whether you are managing large datasets, developing statistical models, or aiming to improve the transparency and efficiency of your research process, this workshop provides hands-on tools you can apply immediately to your academic projects. The seminar is delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the session, and participants receive an official Instats certificate of completion, with ECTS equivalent points available where applicable. #ComputerScience #SoftwareEngineering #DataScience #Statistics #R #GithubCopilot #VSCode(withCopilot) #RStudio #Github #Research #ResearchTraining #Instats

Enhance your spatial analysis skills with our online workshop, Introduction to Spatial Statistics in R and GeoDa, led by Dr Nick Bearman from University College London and Geospatial Training Solutions. Designed for PhD students, academics, and professional researchers, this practical seminar introduces key concepts and methods for working with geographically referenced data, including exploratory spatial data analysis, spatial autocorrelation, Moran’s I, LISA, clustering measures, and regression techniques in R. Participants will gain hands-on experience using R and GeoDa to identify, interpret, and communicate spatial patterns in their research. The workshop is part of a three-seminar GIS in R course, with a 10% discount available when registering for all three seminars. Attend live via Zoom or access the recordings and materials for 30 days afterward, with continued support through the online Q&A forum and an official Instats certificate of completion provided. #Geography #ComputerScience #Statistics #DataScience #SocialTheory #SocialSciences #Mathematics #GeoDa #R #RStudio #Research #ResearchTraining #Instats

Join our one-day online workshop, AI-Powered Image Analysis, designed for PhD students, professors, and professional researchers working with biological, microscopy, high-throughput, or clinical imaging data. Led by Nikolay Oskolkov, Group Leader/PI at LIOS, this intensive hands-on seminar bridges deep learning theory and practical implementation, covering CNNs, transfer learning, UNet, Mask R-CNN, object detection, Bayesian uncertainty, GRAD-CAM interpretability, OpenCV, OTSU thresholding, and reproducible Python workflows in Jupyter on Linux. Participants will learn how to build publication-ready image analysis pipelines for classification, segmentation, detection, cell counting, morphometrics, and biologically meaningful model interpretation, while also using ChatGPT-assisted coding to accelerate prototyping, debugging, and documentation. The seminar includes live Zoom instruction, practical coding examples, access to recordings and materials for 30 days, a monitored Q&A forum, and an official Instats certificate of completion. Whether you are developing methods for a thesis, paper, grant, or research project, this workshop will help you turn complex image datasets into rigorous, reproducible, and publishable results. #ComputationalBiology #DataAnalytics #DataScience #MachineLearning #BiomedicalEngineering #Bioinformatics #ComputerScience #Engineering #Statistics #ChatGPT #Jupyter #Linux #Python #R #Research #ResearchTraining #Instats

Advance your multilevel modeling skills with this online seminar for PhD students, postdocs, and professional researchers, led by Professor Michael Zyphur. This applied workshop introduces multilevel modeling in Mplus and R using lme4 and lavaan, covering mixed-effects models, multilevel SEM, mediation, moderation, simulation, diagnostics, and responsible use of generative AI tools such as Claude, ChatGPT, Gemini, and Copilot. Using the TIMSS dataset as a hands-on example, participants will learn to model clustered and nested data, interpret fixed and random effects, test cross-level interactions, estimate multilevel indirect effects, diagnose convergence and specification issues, and communicate results for dissertations and publishable research. The seminar also introduces a new /multilevel AI skill to support elements of multilevel research workflows, while emphasizing scientific judgment, transparency, and defensible inference. This seminar is part of a two-part course on SEM and Multilevel Models in R and Mplus with AI, with a 10% discount available when both seminars are purchased. Livestream participants receive Zoom access, recordings and materials for 30 days, access to a monitored Q&A forum, and an official Instats certificate of completion. #Education #DataScience #Psychology #Statistics #ComputerScience #Mplus #R #Gemini #Claude #Grok #MistralVibe #ClaudeCode #Codex #ChatGPT #Copilot #Research #ResearchTraining #Instats

Clinical notes contain rich information about symptoms, care decisions, clinician impressions, and patient changes over time, but much of this information is available only as unstructured narrative text. This online Instats workshop for PhD students, researchers, and applied analysts explores the evolution of clinical natural language processing (NLP) and its applications in discovery, phenotyping, and clinical decision support. Participants will move from manual flags, regex, and bag-of-words approaches to embeddings, attention, and transformer-based medical language models, including GloVe, BERT, ClinicalBERT, and MedGemma. Using synthetic clinical notes and applied examples, the seminar will cover interpreting embeddings, combining text-derived features with structured EHR data, distinguishing retrospective phenotyping from prospective prediction, avoiding data leakage, and evaluating discrimination, calibration, subgroup performance, and generalizability. The workshop is designed to be approachable while providing enough depth to support participants’ own analyses and peer-reviewed research. Live sessions are delivered via Zoom, with recordings, materials, code, data, and an online Q&A forum available for 30 days, plus an official Instats certificate of completion. #ClinicalResearch #Medicine #PublicHealth #ComputerScience #Statistics #DataScience #Python #R #Research #ResearchTraining #Instats

Strengthen your qualitative research skills with our online seminar, Advanced Introduction to Qualitative Research, designed for PhD students, postdoctoral researchers, and professional scholars—especially those working in public health and related fields. Led by Molly Green of Elon University, this workshop offers a rigorous yet practical guide to qualitative research design, individual interviews, focus groups, and thematic analysis. Participants will learn how to formulate qualitative research questions, align methods with research aims, develop effective interview and focus group guides, use probing techniques, manage participant interaction, code transcripts, build and refine themes, and report qualitative findings clearly and credibly. The seminar is ideal for researchers who need to justify methodological choices in theses, publications, or grant applications, and who want to produce high-quality qualitative work grounded in strong standards of rigour and interpretation. Delivered online via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days, the seminar also includes an official Instats certificate of completion. #PublicHealth #Sociology #Medicine #Education #Research #ResearchTraining #Instats

Join Professor Michael Zyphur for an advanced, practice-oriented online seminar on Structural Equation Modeling in Mplus and R, designed for PhD students, postdoctoral researchers, and professional academics working with complex observational, survey, and multi-indicator data. This seminar helps researchers move confidently from regression-based thinking to latent variable modeling, covering path analysis, confirmatory factor analysis, measurement and structural models, mediation, bootstrapping, latent moderation, and instrumental variable SEM, with hands-on applications using lavaan in R, Mplus, and TIMSS data. A distinctive feature of the workshop is its disciplined integration of generative AI tools such as Claude, ChatGPT, Gemini, and Copilot to support coding, troubleshooting, interpretation, reproducible workflows, and responsible reporting. Participants will gain practical skills for specifying, estimating, interpreting, documenting, and writing up SEM results for publication, while developing stronger judgment about measurement quality and structural inference. The seminar is part of a two-part course on SEM and Multilevel Models in R and Mplus with AI, with a 10% discount available when both seminars are purchased. Livestream sessions are delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days afterward, plus an official Instats certificate of completion. #HealthSciences #LifeSciences #NaturalSciences #SocialSciences #DataScience #Psychology #Statistics #ComputerScience #ChatGPT #Claude #Gemini #Copilot #Mplus #R #MistralVibe #Grok #ClaudeCode #Codex #Research #ResearchTraining #Instats

Join our hands-on online workshop on analyzing and visualizing species diversity data using R, designed for PhD students, professional researchers, and anyone working with species assemblages, vegetation plots, biodiversity inventories, or community-level ecological data. Led by Ekaphan Kraichak from the Department of Botany at Kasetsart University, this practical seminar will guide participants through importing and reshaping abundance data, creating site-by-species matrices, visualizing community composition with heatmaps, and calculating alpha, beta, and gamma diversity using RStudio Cloud and key packages including vegan, tidyverse, and picante. Participants will also learn to compare diversity across environmental factors and use PCA ordination to explore compositional differences among sites, with hands-on exercises using real vegetation and bird community datasets. By the end of the workshop, attendees will have a reusable R code template for analyzing their own community ecology data. Livestream sessions are offered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, plus an official Instats certificate of completion. #Ecology #PlantEcology #Statistics #Biology #R #RStudio #Research #ResearchTraining #Instats

Join us for an advanced online seminar on AI-assisted systematic reviewing and meta-analytic workflow design, led by Moses Boudourides, designed for PhD students, postdoctoral researchers, academic staff, and professional researchers working with large and complex bodies of literature. This practical, no-code seminar shows how to combine open bibliographic APIs, machine learning, large language models, deduplication, AI-assisted screening, structured extraction from full-text PDFs, synthesis tables, visualizations, and transparent reporting practices to create review workflows that are efficient, auditable, and reproducible. Participants will learn how to formulate precise review questions, build defensible search strategies, manage heterogeneous bibliographic data, apply AI tools with human oversight, evaluate recall, document decisions, and align outputs with PRISMA-oriented standards while remaining alert to ethical issues such as bias, hallucination, and validation. Suitable across health and life sciences, social sciences, humanities, engineering, and related fields, the seminar supports work on dissertations, grant applications, journal articles, scoping reviews, systematic reviews, and thematic syntheses. Offered via Zoom with recordings and materials available for 30 days, a monitored Q&A forum, and an official Instats certificate of completion, this seminar provides a rigorous and practical route to using AI responsibly in contemporary evidence synthesis. disciplines #Education #Statistics #DataScience #InformationScience #ComputerScience #Nosoftwarerequired #Research #ResearchTraining #Instats

Join our upcoming online seminar for PhD students and professional researchers: Modern Causal Inference in R. This research-oriented workshop offers a structured introduction to the concepts, assumptions, designs, and applied tools used to draw credible causal conclusions from observational, quasi-experimental, policy, health, administrative, panel, and survey data. Moving from causal diagrams, target-trial thinking, and estimands to matching, weighting, g-computation, doubly robust methods, TMLE, double machine learning, causal forests, instrumental variables, regression discontinuity, and difference-in-differences, the course emphasizes not only how methods work in R, but when they are appropriate, what assumptions they require, and how results should be interpreted and communicated. Participants will build a practical framework for choosing among causal methods, assessing diagnostics such as balance and overlap, and strengthening the design and reporting of causal analyses in theses, articles, grants, and applied research projects. The seminar is timed for Europe/UK, with an Americas/Australasia version also available, and includes live Zoom sessions, 30-day access to recordings and materials, an online Q&A forum, and an official Instats certificate of completion. disciplines #Economics #DataScience #Statistics #PublicHealth #R #Research #ResearchTraining #Instats

Questionnaire data are only as strong as the measurement decisions behind them. This online Instats seminar with Bert Weijters helps PhD students and professional researchers build a coherent workflow for questionnaire-based research, from defining latent constructs and developing or adapting scales to understanding respondent behavior and evaluating measures with CFA and SEM in R using lavaan. Participants will learn how item wording, response formats, translation, shortening, careless responding, response styles, method effects, ordinal indicators, reversed items, reliability, validity, and measurement invariance can shape substantive conclusions. Designed for researchers in business, management, marketing, organizational behavior, psychology, sociology, strategy, and related fields, the workshop offers practical tools for producing more defensible instruments, stronger measurement arguments, and more publication-ready empirical studies. The seminar is available via Zoom with recordings, materials, and a monitored Q&A forum available for 30 days, and participants receive an official Instats certificate of completion. #Business #Management #Marketing #OrganizationalBehavior #Psychology #SocialSciences #Sociology #Strategy #SurveyDesign #DataScience #Statistics #lavaan #R #RStudio #Research #ResearchTraining #Instats

Strengthen your Information Systems research from idea to publishable manuscript in this advanced online seminar for PhD students, postdoctoral researchers, and professional scholars. Led by Jan Recker of the University of Hamburg Business School, author of Scientific Research in Information Systems: A Beginner’s Guide, this seminar offers a rigorous and practical introduction to designing high-quality research on digital technologies, AI, and their social and organizational implications. Participants will learn how to move from broad practical concerns to precise research questions, connect theory and evidence, choose among quantitative, qualitative, computational, design-oriented, and mixed-methods approaches, and make credible methodological decisions grounded in principles such as transparency, replicability, precision, and cumulative knowledge. With a strong focus on publication readiness, the seminar also supports participants in structuring coherent scientific papers for leading Information Systems journals, while applying concepts directly to their own dissertation, postdoctoral, or faculty research projects. The seminar is delivered online via Zoom, with recordings, materials, and a Q&A forum available for 30 days, and includes an official Instats certificate of completion. #InformationSystems #PhilosophyofScience #Statistics #DataScience #ComputerScience #InformationScience #Research #ResearchTraining #Instats

Ethics in data science is not an add-on to rigorous research; it is part of the methodological core. In this online seminar for PhD students and professional researchers, James Korman of Lehigh University examines how decisions across the data-science pipeline—from data collection, variable construction, and model fitting to validation, visualization, deployment, and documentation—shape privacy risks, bias, fairness, accountability, and social impact. Combining conceptual discussion with hands-on R exercises, the workshop helps participants diagnose bias, assess privacy and reidentification risks, compare fairness criteria such as demographic parity and equalized odds, interpret model errors across groups, identify misleading visualizations, and use tools such as model cards for transparent and reproducible reporting. The seminar is especially relevant for researchers working with sensitive, observational, administrative, digital, or behavioural data who want to strengthen methods sections, communicate limitations responsibly, and defend ethical choices in manuscripts, peer review, grant applications, and ethics review processes. Available via Zoom with recordings, materials, and a monitored Q&A forum accessible for 30 days, the seminar also includes an official Instats certificate of completion. #DataScience #Ethics #PublicPolicy #ComputerScience #Statistics #R #RStudio #Research #ResearchTraining #Instats