Back by popular demand after last year's 2,000+ participants, Professor Peter Gruber returns with the 2026 edition of his free 90-minute "best AI tools for research" seminar — a fast-paced, practical overview of the AI tools that actually help researchers get more done. In one compact session he’ll cover ideation, literature review, numeric and text analysis, coding, writing, automation, privacy, and where AI is taking academia next, and he’ll even unveil his personal setup and recommend what’s worth paying for. Designed for professors, researchers, PhD students and university staff who don’t have time to test dozens of tools, this session delivers a curated starting point, installation details and links to further resources so you can immediately integrate AI into your workflow. Free and exclusive at Instats — join Peter to discover the tools and workflows that let you finish that paper, update your courses, and focus on what matters; register now to save your spot. #Psychology #Sociology #Economics #PoliticalScience #Education #Management #Finance #Engineering #Statistics #DataScience #Physics,Astronomy #Philosophy #Strategy #Interdisciplinary #Writing #OpenScience #ResearchMethods #Journalism #HigherEducation #InformationScience #SoftwareEngineering #ComputerScience #ArtificialIntelligence #PhilosophyofScience #CognitiveScience #ChatGPT #GithubCopilot #Gemini #Claude #GoogleColab #LaTeX #Research #ResearchTraining #Instats

Join a one-day, intensive workshop from the Centre for Applied Statistics Courses (CASC) at UCL designed for PhD students, postdocs, academics and practitioners in computational statistics and data science who want to read and appraise published research from first principles. Through short targeted lectures, hands-on group critiques of exemplar papers, practical demonstrations and guided templates you will learn to align research questions with estimands, assess internal and external validity, detect bias and analytic pitfalls (p-hacking, overfitting, misused tests), judge causal claims, apply reporting checklists (CONSORT, STROBE, PRISMA) and strengthen reproducibility and transparency in your own work. By the end of the day you’ll be able to deconstruct a manuscript section-by-section, design analyses and diagnostics that answer your question, give actionable feedback to improve manuscripts or theses, and use pre-registration and reproducible workflows to increase credibility. The seminar is livestreamed via Zoom (recordings and all materials available for 30 days afterwards), includes a monitored Q&A forum, an Instats certificate of completion (ECTS-equivalent points shown for European students where indicated), and requires only basic familiarity with statistical inference—no specific software proficiency. Spaces are limited; visit the CASC/UCL pages to learn more and register. #ComputationalStatistics #DataAnalytics #DataScience #Statistics #InformationScience #Education #Mathematics #Biostatistics #Research #ResearchTraining #Instats

Join Dr Hadi Fariborzi for a one-day, hands-on workshop that teaches PhD students, academics, and professional researchers how to use AI as a practical coding and interpretation partner in both Python (Google Colab) and R (Posit Cloud). You’ll move from minimal coding experience to completing an AI-assisted mini research project—importing and cleaning data, running classical and advanced analyses (ANOVA, regression, multilevel models, SEM), conducting thematic qualitative coding and large-scale text mining, and producing reproducible, shareable notebooks and reports—while learning prompt strategies, debugging workflows, and ethical documentation practices. Every example is demonstrated side-by-side in Python and R and comes with downloadable Colab/Posit notebooks, practice datasets, an AI prompt library, cheat-sheets, and an exportable certificate of completion (ECTS-equivalent where indicated); seminars are livestreamed via Zoom and include recordings and an expert-moderated Q&A forum available for 30 days. Ideal for thesis work, grant projects, teaching, and collaboration, this workshop gives you the technical skills and judgment to accelerate research productivity without sacrificing transparency—spaces are limited, so register soon. disciplines #SocialTheory #Psychology #Education #ComputerScience #SoftwareEngineering #Statistics #DataScience #Python #R #GoogleColab #PositCloud #Research #ResearchTraining #Instats

Are you a PhD student or researcher working with real-world data? Join our software-agnostic online workshop on the non-statistical side of applied analytics—project management, delivery, and quality—where you’ll learn practical frameworks and tactics to handle scoping uncertainty, data quality issues, stakeholder expectations, and reproducible yet flexible workflows. Bring your own project as a case study while following along (you don’t need to share any details), and gain skills to assess analytics quality, plan under uncertainty, improve transparency and delivery outcomes, and apply tailored project-management principles for data work. Live sessions are on Zoom with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar; participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students). Learn more and enroll to improve the robustness and impact of your research projects. #DataAnalytics #DataScience #Statistics #Management #Research #ResearchTraining #Instats

Calling PhD students and research professionals: join our seminar on governing Large Language Model (LLM) use in academic research and teaching, where we introduce a researcher- and instructor-controlled framework to address epistemic and ethical risks—especially structural hallucination, citation distortion, and fair attribution—and teach a computationally lightweight validation pipeline that uses familiar Python tools (e.g., NetworkX and common NLP libraries) to translate text into structured representations for network- and citation-based diagnostics. You will learn to distinguish factual accuracy from deeper scholarly validity, detect hallucination and bibliographic distortion, benchmark LLM-generated references, and apply these workflows to manuscripts, grants, theses, course design, and assessment—without retraining models or accessing model internals. Live seminars are offered via Zoom, recordings and all materials are available for 30 days with a monitored Q&A forum, and participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students where applicable). disciplines #ArtificialIntelligence #BibliometricResearch #ComputerScience #HigherEducation #Management #OrganizationStudies #ResearchMethods #SocialNetworkAnalysis #Education #DataScience #InformationScience #Ethics #Epistemology #PhilosophyofScience #OpenAI #Python #Research #ResearchTraining #Instats

Advance your research with practical deep learning skills at a one-day intensive workshop led by Prof. Nikolay Oskolkov (Molecular Biosciences, Lund University) — designed for PhD students, academics and professional researchers working in data science, bioinformatics and computational biology. You’ll learn core deep learning principles and neural network architectures (CNNs, RNNs, autoencoders, Bayesian approaches), code gradient descent and a vanilla network from scratch, and get hands-on experience with R, Python, TensorFlow/Keras while using ChatGPT as a coding and consulting agent to build, train and evaluate models on real biological data (including multi-omics and single-cell examples). The seminar is delivered via Zoom with recorded sessions, materials and a monitored Q&A forum available for 30 days after the event; on-demand access is also provided, and attendees receive an Instats certificate of completion (ECTS-equivalent noted for European students). Join us to deepen your practical skills in applying deep learning to complex scientific problems and accelerate your research — spaces are limited, register now. #Biostatistics #Genetics #ComputerScience #DataScience #Bioinformatics #ComputationalBiology #ArtificialIntelligence #MachineLearning #BiomedicalEngineering #Statistics #SoftwareEngineering #Neuroscience #MolecularBiology #R #Python #ChatGPT #TensorFlow #Research #ResearchTraining #Instats

Join Estefania Mancini (Josep Carreras Leukaemia Research Institute) for an online seminar on key bioinformatics methods for analyzing sequencing and genomics data — a timely session that also celebrates the 25th anniversary of the Human Genome Project’s first publication. Designed for PhD students and professional researchers, the seminar covers sequence-based assays, transcriptomics, variant discovery and integrative analyses that drive modern genomics and translational research. All sessions are livestreamed via Zoom, with recordings, slides, program input/output and data available for 30 days after the seminar; a moderated Q&A forum will be open for 30 days to follow up with the experts. On-demand access is available (materials accessible for 30 days after enrollment), and participants receive an Instats certificate of completion (ECTS equivalent points shown for European students). Register now to secure your place and deepen your computational genomics skills. #Bioinformatics #ComputerScience #Genomics #SoftwareEngineering #DataScience #MolecularBiology #Research #ResearchTraining #Instats

Join Professor Rafael Moral for an intensive workshop on generalized linear models (GLMs) in R—ideal for PhD students, professors and professional researchers seeking both theoretical foundations and hands-on skills. You’ll learn to apply and interpret GLMs for binary, binomial and categorical outcomes, Poisson and negative binomial models for counts, and advanced approaches for overdispersion (including beta-binomial) and zero-inflated data, with practical implementation using R’s glm and related tools. The seminar is delivered live via Zoom with take-home challenges, and all recordings, code, data and slides plus an instructor‑monitored forum are available for 30 days after the course (on-demand access also offered). Participants receive an Instats certificate of completion (ECTS equivalent indicated for European students). Learn more and register at https://www.prstats.org/. #DataScience #Biostatistics #Mathematics #Statistics #R #Research #ResearchTraining #Instats

Advance your research with "Introduction to Machine Learning," an on-demand, self-paced workshop by Professor Rafael Moral (PR Statistics) tailored for PhD students, professors and professional researchers who want to master machine learning using R. The course combines theory and hands-on exercises across supervised and unsupervised learning (k-means, hierarchical clustering), dimension reduction (PCA), regression and classification (linear/logistic, smoothing, splines, GAMs), regularization (ridge, LASSO, elastic net), cross-validation, tree-based methods (CART, random forests) and BART, plus take-home skill challenges to reinforce learning. All videos, code, data, slides and recordings are available for 30 days after enrollment and a monitored forum provides instructor support; participants receive an Instats certificate of completion (ECTS Equivalent for European students). If you want practical R skills to analyze complex data and boost the quality and impact of your research, this workshop gives you the tools and guidance to get there—learn more and enroll today. #Bioinformatics #ComputerScience #Statistics #DataScience #R #Research #ResearchTraining #Instats

Join a one-day, hands-on workshop on AI-powered image analysis led by Nikolay Oskolkov (Group Leader/PI at LIOS) designed for PhD students, professors and research professionals who need to convert microscopy and clinical images into publication-quality measurements. Through live coding in Jupyter on Linux and ChatGPT-assisted scripting, you’ll learn end-to-end pipelines for CNN-based classification, UNet and Mask R-CNN segmentation, transfer learning for small biological datasets, hybrid OpenCV + deep-learning preprocessing, uncertainty quantification, and interpretability with GRAD-CAM, plus best practices for reproducible workflows, experiment tracking, benchmarking and statistical reporting. The seminar is delivered via Zoom with all recordings, notebooks and materials available for 30 days (plus a monitored Q&A forum), on-demand access after purchase, and a certificate of completion (ECTS-equivalent points shown for European students). Register to gain practical skills to build, evaluate and document robust image-analysis pipelines ready for theses, papers and grants. #ComputationalBiology #DataAnalytics #DataScience #MachineLearning #BiomedicalEngineering #Bioinformatics #ComputerScience #ArtificialIntelligence #ChatGPT #Jupyter #Linux #Python #R #Research #ResearchTraining #Instats

Join our advanced seminar for PhD students and academic researchers at the intersection of laboratory results, EHRs, LLMs, and causal inference to advance AI-driven clinical reasoning—learn how to integrate lab trajectories with language models to support diagnostic hypotheses and patient-facing explanations while meeting the epistemic demands of reproducibility, temporality, and domain shift. You’ll gain practical skills in extracting and normalizing lab data, constructing time-indexed causal DAGs, designing counterfactual evaluation protocols, applying prompt engineering and constrained generation to reduce hallucination, and using clinically informed evaluation metrics (calibration, discrimination, subgroup robustness, temporal alignment, and sensitivity analyses) to build reproducible pipelines that combine structured labs and free-text. The seminar emphasizes publishable, methodologically rigorous research with translational impact, leaving participants with explanation-fidelity metrics, human-AI and ethical assessment frameworks, and a clear research agenda plus templates for experimental designs, manuscripts, and grants. All livestreams are via Zoom; recordings, slides, inputs/outputs, and data are available for 30 days after the seminar (and on-demand access is available any time after enrollment), a Q&A forum will be monitored for 30 days, and participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students). #ArtificialIntelligence #Biomedicine #CausalInference #ComputerScience #DataAnalytics #DataScience #HealthSciences #ClinicalorLaboratoryScience #Medicine #Ethics #InformationScience #BiomedicalEngineering #Research #ResearchTraining #Instats

Join a hands-on two-day seminar for PhD students and professional researchers led by HubMeta co‑founders Professors Hadi Fariborzi and Piers Steel that teaches a rigorous AI-integrated, end-to-end evidence-synthesis workflow using HubMeta (free platform used by 6,000+ researchers) with parallel demonstrations in R—ensuring participants can complete a full systematic review and meta-analysis. You will implement the Pull/Pick/Prep/Push pipeline: protocol-aligned question design, concept-block searches and provenance tracking, AI-assisted screening and full-text capture, integrated fuzzy deduplication, codebook-driven extraction to an analysis-ready dataset, a rapid baseline meta-analysis and advanced quantitative methods (moderators, multilevel/RVE, bias diagnostics), plus transparent qualitative synthesis and manuscript-ready outputs supported by responsible AI tools like NotebookLM. Registrants receive a free 6-month HubMeta subscription if paid features are introduced; all sessions stream via Zoom with recordings, materials and a monitored Q&A forum available for 30 days afterward, and an Instats certificate (ECTS-equivalent points for European students where shown). Perfect for researchers who want scalable, reproducible SR/MA methods—register today to secure your spot. #QualitativeResearch #QuantitativeMethods #ResearchMethods #Education #InformationScience #ComputerScience #Statistics #DataScience #HubMeta #R #Research #ResearchTraining #Instats

Join Nikolay Oskolkov (Molecular Biosciences, Lund University) for a one-day advanced workshop, "Exploratory Analysis of Complex Datasets with ChatGPT," designed for PhD students, professors and research professionals in statistics, data science, bioinformatics, AI and machine learning — a hands-on deep dive into overcoming the curse of dimensionality using linear and non-linear dimensionality reduction (PCA, MDS, t-SNE, UMAP), clustering (k-means, hierarchical, GMM, DBSCAN, spectral, Louvain/Leiden), autoencoders and neural-network approaches, time-series clustering with DTW, and practical implementations in R, Python, TensorFlow and Bash, plus how to integrate modern AI tools like ChatGPT into your analysis workflow; sessions combine theory and applied exercises to help you uncover patterns, detect anomalies and present interpretable results. The seminar is livestreamed via Zoom, with all recordings, code, data and slides available for 30 days after the event and an expert-moderated Q&A forum open for 30 days, and participants receive an Instats certificate of completion (ECTS-equivalent points shown where applicable). Ideal for researchers seeking practical skills to analyze complex, high-dimensional datasets and to accelerate their projects with state-of-the-art tools — register or learn more to secure your place. #Statistics #DataScience #Bioinformatics #ArtificialIntelligence #MachineLearning #ComputerScience #Biostatistics #MolecularBiology #CognitiveScience #R #Python #ChatGPT #TensorFlow #Bash #Research #ResearchTraining #Instats

Join our hands-on workshop on Dynamic Structural Equation Modeling (DSEM) using Mplus—designed for PhD students, academics, and professional researchers who want to move beyond static measures and model intra-individual dynamics in intensive longitudinal data. You will learn core DSEM concepts and how to specify and estimate dynamic models in Mplus (including Bayes estimation), incorporate time-lagged predictors, handle autocorrelation and moving-average processes, address missing data, and evaluate and interpret complex model outputs with real-world examples. The workshop is delivered via Zoom with take-home skill challenges; all recordings, program input/output, data, and slides are available for 30 days after the seminar (live attendees get a monitored chat forum for 30 days), on-demand access can be activated any time with the same 30-day access window, and participants receive an Instats certificate of completion (with ECTS-equivalent points for European students). This material is based on Mplus Web Talk 6 from statmodel.com, with supplemental Web Talk 6 outputs available online—perfect for researchers wanting practical, immediately applicable DSEM skills. #Education #Statistics #Psychology #Research #ResearchTraining #Instats

Join Professor Muthén for a practical, advanced seminar on Dynamic Structural Equation Modeling (DSEM) with cycles—an essential technique for analyzing longitudinal panel data with repeating patterns—designed for PhD students, faculty, and researchers in psychology, education, and the social and health sciences. The workshop covers foundational and advanced topics including an introduction to DSEM, Mplus implementation, identifying and modeling cycles, interpreting complex time-series, addressing convergence and data-quality issues, customizing models to research questions, robustness and sensitivity checks, multilevel DSEM for hierarchical data, and real-world case studies, with take-home skill challenges to consolidate learning. Delivered via Zoom (with recordings, program input/output, data and slides available for 30 days and an instructor-monitored chat forum for questions), the seminar is also available on-demand with the same 30-day access; a certificate of completion (with ECTS-equivalent points for European students) is provided. Supplemental papers and a technical report are available from statmodel.com; this talk was originally presented there as Mplus Web Talk 7. #DataScience #Education #Psychology #Statistics #Research #ResearchTraining #Instats

Join Professor Bengt Muthen for an in-depth online seminar on Cross‑Lagged Panel Modeling (CLPM)—a must for PhD students, academics, and researchers who need to understand the strengths, limitations, and practical pitfalls of using CLPM to infer temporal relations in longitudinal data. Drawing on decades of expertise (originally presented as Mplus Web Talk 5 at https://statmodel.com/), this workshop combines theory, hands-on examples, take-home skill challenges, and downloadable materials (Web Talk 5 outputs: http://www.statmodel.com/download/WT5.zip), with live Zoom sessions, a monitored post-seminar forum, and all recordings/materials available for 30 days; on-demand access is also provided. Participants receive an Instats certificate of completion (ECTS-equivalent information included for European students), practical guidance to strengthen the robustness of their analyses, and ongoing instructor support to apply CLPM insights to current and future research projects. #Education #Psychology #Statistics #Research #ResearchTraining #Instats

Delve into advanced cross-lagged modeling for categorical variables in panel data with Professor Bengt Muthén—based on Mplus Web Talk 4 (Part II) at statmodel.com. This seminar is ideal for PhD students and researchers seeking rigorous tools to interpret temporal precedence and reciprocal effects in longitudinal categorical data: learn how to use Mplus to handle categorical measurement, missing data, assess model fit, and address practical issues in drawing causal inferences. Live Zoom sessions include take-home skill challenges and an instructor‑monitored chat, and all recordings and materials (program input/output, data, slides) are available for 30 days after the seminar or on-demand after enrollment. Participants receive an Instats certificate of completion (ECTS-equivalent noted for European students), and supplemental outputs and papers are provided to support hands‑on learning—visit statmodel.com for details and enrollment information. #DataScience #Statistics #Education #Research #ResearchTraining #Instats

Join Professor Bengt Muthén for a practical deep-dive into cross-lagged panel modeling with Mplus—ideal for PhD students, academics, and researchers who want to strengthen their longitudinal analysis skills and understand directionality among continuous variables. This workshop covers CLPM concepts, estimating cross-lagged and autoregressive paths, and interpreting model fit, and pairs theory with hands-on application using Mplus; it was originally delivered as Mplus Web Talk 4 (Part I) on statmodel.com. Delivered via Zoom with take-home skill challenges, all recordings, program input/output, data and slides are available for 30 days after the seminar (livestream and on-demand options), and an instructor-monitored chat forum is open for questions; participants receive an Instats certificate of completion (ECTS equivalent noted for European students). Supplemental code and materials are available at statmodel.com for those who want to follow along or revisit the content. #Psychology #Education #DataScience #Statistics #Research #ResearchTraining #Instats

Join renowned UCLA scholar Bengt Muthen for an in-depth online seminar on longitudinal Structural Equation Modeling (SEM) that traces the method’s evolution and introduces modern approaches—including a reanalysis of the landmark Wheaton et al. study—to achieve superior model fit and interpretability. Designed for PhD students, academics, and professional researchers in psychology, education, social sciences and related fields, this masterclass pairs historical perspective with hands-on skills, take-home challenges, and practical examples to deepen your latent-variable modeling expertise. Delivered via Zoom, the seminar includes recordings, program input/output, data, slides and a monitored discussion forum available for 30 days after the event (on-demand access is also available), and participants receive an Instats certificate of completion with ECTS equivalent points noted for European students. Originally presented as Mplus Web Talk 3 at statmodel.com; supplemental outputs and data are available at http://www.statmodel.com/download/WebTalk3.zip. #SocialTheory #DataScience #Psychology #Statistics #Education #Research #ResearchTraining #Instats

Learn to uncover dynamic patterns in longitudinal data with Bengt Muthén’s in‑depth seminar on Latent Transition Analysis (LTA) and Random Intercept LTA (RI‑LTA) using Mplus—ideal for PhD students, academics, and professional researchers who want to model how individuals change latent states over time, interpret results, and tackle common longitudinal challenges; the workshop (originally delivered as Mplus Web Talk 2) includes practical demonstrations, take‑home skill challenges, and access to outputs, data, scripts, and technical documentation on statmodel.com. Offered live via Zoom with recordings and all materials available for 30 days (or on demand with 30‑day access), plus a monitored post‑seminar chat forum for Q&A, and an Instats certificate of completion (ECTS equivalent noted for European students). #DataScience #Statistics #Psychology #Mplus #Research #ResearchTraining #Instats

Join Dr Philip Adu for a focused two-day workshop that equips PhD students, doctoral candidates, faculty, and research professionals with practical tools to use AI responsibly in qualitative research—introducing the STRESS Framework (Sensitivity, Transparency, Responsibility, Ethics, Skepticism, Security) and hands-on guidance for translating ethical principles into repeatable, defensible practice across ChatGPT, Claude, and Gemini. Through live demonstrations and guided exercises you will learn the interpretive limits of AI, how to design robust system instructions, build a STRESS Chatbot and a STRESS Framework Assistant, and produce system-instruction templates, scoring rubrics, and sample disclosure language that strengthen dissertation methodology chapters, IRB and grant applications, and journal submissions. The seminar is delivered via Zoom with recordings, materials, and a monitored chat forum available for 30 days after the event (on-demand access is also available after purchase), and participants leave with two fully functional compliance tools tailored to their research, plus an Instats certificate of completion (ECTS equivalent indicated for European students). #Education #ProgrammeEvaluation #QualitativeResearch #SocialSciences #ComputerScience #InformationScience #SocialTheory #Ethics #ChatGPT #Claude #Gemini #Research #ResearchTraining #Instats

Join Dr. Carlton J. Fong (Texas State University) for a one-day workshop, "From Peer Reviewing to Editing Journals: Strategies and Tips for Engaging in Field‑Shaping Service," designed for PhD students and researchers who want to move from reactive gatekeeping to proactive field‑building. This interactive, discipline‑neutral seminar pairs evidence‑based foundations with hands‑on practice—mock reviews, review and editor templates, checklists for rapid methodological appraisal, and tactics for joining editorial boards—so you leave with concrete templates, time‑management strategies, and a career-ready plan for turning peer review into high‑impact scholarly service. Delivered live on Zoom with all recordings, slides, and materials available for 30 days (plus a monitored Q&A forum), the workshop also includes a certificate of completion and ECTS equivalency where indicated for European students. Whether you’re accepting your first review assignment or aiming to streamline editorial work and build your service portfolio, this course will help you produce rigorous, constructive reviews and translate that experience into visible, career‑relevant contributions—learn more and register with the organizer today. disciplines #Management #Communication #Ethics #Education #SocialTheory #Research #ResearchTraining #Instats

Join Surette van Staden (Institute for Teacher Education, University of Innsbruck) for a one‑day intensive workshop, "Questionnaire Design Principles and Practices: Examples from International Large‑Scale Assessments (ILSAs)," that shows how well‑designed questionnaires operationalize theory, ensure cross‑context comparability, and protect the validity of your inferences—drawing on best practices from PIRLS and other ILSAs. Tailored for PhD students, postdocs, faculty and professional researchers in education and mixed‑methods inquiry, the seminar combines short expert inputs, worked examples, and hands‑on small‑group critique so you leave with draft items, a piloting plan, templates for cognitive interviews and documentation, and clearer links between questionnaire choices and analytic strategies. Delivered live via Zoom with recordings and materials available for 30 days, the workshop includes a 30‑day expert Q&A forum and an Instats certificate of completion (ECTS‑equivalent noted for European students where indicated). Bring a concrete project idea to apply principles in real time—secure your spot or contact Instats for details. #Education #MixedMethods #SocialTheory #Statistics #Research #ResearchTraining #Instats

Join an open webinar exchange for applied statisticians and researchers to hear senior leaders share practical, on‑the‑job perspectives and concrete tips for improving statistical practice across sectors—featuring Joan Buenconsejo, PhD, MPH (Vice President, Head of Cardiovascular & Neuroscience Biostatistics, Bristol‑Myers Squibb), Harold Gomes, MStat (Research Statistician, NIOSH/CDC), Frank Rockhold, PhD (Professor of Biostatistics and Bioinformatics, Duke University), and Richard Zink, PhD (Principal Research Fellow, JMP Statistical Discovery), moderated by Mat Soukup, PhD (Division Director, Office of Biostatistics, FDA/CDER); topics will include applied methods, study and survey design, novel tools and technologies, ethics, and career development—ideal for PhD students and researchers looking to bridge theory and practice and leave with actionable strategies to become more effective applied statisticians. #Statistics #DataScience #Biostatistics #PharmaceuticalScience #Epidemiology #PublicHealth #Research #ResearchTraining #Instats

Organizational humour is a rich but under‑developed area of research—join a one‑hour workshop with Cecily Cooper (Miami Herbert Business School) to learn how careful conceptualisation and measurement can sharpen theory, improve empirical inferences, and increase the publishability and impact of humour research. Tailored to PhD students, post‑docs, faculty and professional researchers, the session covers construct clarity, construct validity, and methodological choices across quantitative, experimental and qualitative approaches, with concrete advice to avoid common reviewer pitfalls and build programmatic, falsifiable hypotheses. The seminar is live on Zoom, and all recordings, slides and materials (plus a monitored Q&A forum) will be available for 30 days after the event; an Instats certificate of completion (with ECTS equivalent where indicated) is provided. Register now to gain practical measurement skills that will strengthen your manuscripts and research agenda on humour in organizations. #OrganizationStudies #Psychology #SocialTheory #Research #ResearchTraining #Instats