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resources such as MEDLINE, Embase and the Cochrane Library, alongside clinical trials registers, grey literature and unpublished evidence.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

Are you working with mixed methods research and looking to move beyond simply presenting quantitative and qualitative findings side by side? Join our 2-day online seminar with Professor Sergi Fàbregues, designed for PhD students and professional researchers who want to understand and practically apply integration in mixed methods studies. This hands-on seminar explores how to plan, conduct, interpret, assess, and report meaningful integration, including the use of joint displays, integration strategies, meta-inferences, quality criteria, and data transformation. Participants will have opportunities to apply the concepts to their own studies and discuss their work with the instructor and peers. The seminar is ideal for researchers who are designing a mixed methods study, as well as those who have completed quantitative and qualitative phases and are ready to integrate their findings. Delivered online via Zoom, the seminar includes access to recordings and materials for 30 days, a monitored discussion forum, take-home skill challenges, and an official Instats certificate of completion, with ECTS Equivalent points available for European students. #InformationScience #Sociology #Psychology #Statistics #Education #DataScience #Research #ResearchTraining #Instats

Strengthen the design, interpretation, and credibility of your empirical research in this online seminar for PhD students, postdoctoral researchers, and professional academics led by Roderick Little, Department of Biostatistics, University of Michigan. Focusing on foundational design concepts in surveys and comparative studies, the seminar explores probability and nonprobability sampling, randomization, treatment allocation, nonresponse, selection bias, weighting, poststratification, causal estimands, randomized trials, observational designs, propensity-score methods, confounding, external validity, and the “Big Data Paradox” of very large but potentially misleading nonrandom datasets. Through short readings, applied case-study critiques, formative quizzes, and examples from medical and epidemiological research, participants will learn to assess representativeness, diagnose and reduce bias, evaluate causal claims, and produce clearer methods sections, stronger sensitivity analyses, and more persuasive manuscripts, literature reviews, peer reviews, and grant proposals. The seminar is offered live via Zoom, with recordings, slides, materials, and a monitored Q&A forum available for 30 days after the seminar, and participants receive an official Instats certificate of completion. disciplines #DataScience #PublicHealth #Epidemiology #Statistics #Biostatistics #Powerpoint #Research #ResearchTraining #Instats

High-quality search strategies are essential to credible research, particularly for systematic reviews, scoping reviews, guidelines, and other evidence syntheses. This online workshop offers PhD students, researchers, librarians, and information specialists a practical introduction to peer reviewing search strategies, helping participants identify common pitfalls, assess search terms and syntax, use the PRESS checklist, evaluate limits and filters, and check translations across databases and interfaces. Led by Julie Glanville and Carol Lefebvre, both internationally recognised experts with 30 years of experience in evidence searching and training, the seminar provides hands-on guidance for improving the accuracy, transparency, and reliability of research searches. Participants can join live via Zoom or access recordings, slides, exercises, and a monitored discussion forum for 30 days after the seminar, with an official Instats certificate of completion provided. #Psychology #Economics #SocialWork #Criminology #PoliticalScience #PublicPolicy #Education #Epidemiology #PublicHealth #PharmaceuticalScience #InformationScience #Ophthalmology #Neuroscience #Pharmacology #Research #ResearchTraining #Instats

Join our online seminar designed for PhD students, post-PhD researchers, and professional scholars who want to build a rigorous, reproducible workflow from foundational programming to contemporary AI. Led by Evagoras Xydas of IREROBOT LTD, the seminar combines conceptual explanation, guided coding, and research-focused examples to help participants move confidently from data preparation and visualisation to statistical modelling, machine learning, neural networks, experiment tracking, and applied AI deployment. Working with Python, NumPy, Pandas, Matplotlib, scikit-learn, Keras, TensorBoard, and Google Cloud AI, participants will learn how to clean and transform data, fit and interpret regression models, apply supervised and unsupervised learning methods, monitor model performance, and connect modelling choices to publication-quality reporting and reproducible research practice. The seminar is offered live via Zoom, with recordings, slides, code, data, and other materials available online for 30 days after the seminar, alongside a monitored Q&A forum and an official Instats certificate of completion. #ArtificialIntelligence #Bioacoustics #Biostatistics #Haptics #Robotics #Statistics #Mathematics #DataScience #ComputerScience #SoftwareEngineering #Python #TensorFlow #scikit-learn #Research #ResearchTraining #Instats

Political and social scientists are working with more text than ever, from parliamentary speeches and treaty preambles to government reports, news coverage, social media posts, and policy documents. This 3-day intensive online seminar shows PhD students and professional researchers how to use large language models to turn complex text into defensible, analysis-ready data without requiring prior machine learning or Python experience. Through live Google Colab demonstrations, participants will learn when to use encoder models such as BERT and DeBERTa, when generative models such as GPT or Claude are more appropriate, how to apply zero-shot classification, build and validate gold-standard datasets, evaluate performance with metrics such as accuracy, F1 scores, Cohen’s kappa, and confusion matrices, and create end-to-end pipelines for extracting and cleaning data from PDFs, websites, and other messy sources. The seminar is designed to help researchers strengthen methodological credibility, accelerate data collection and coding, and expand the range of research questions that can be tackled with text. All sessions are livestreamed via Zoom, with recordings, slides, code, data, and a monitored Q&A forum available for 30 days after the seminar, plus an official Instats certificate of completion. #ArtificialIntelligence #ComputationalSocialScience #PoliticalScience #ComputerScience #Statistics #DataScience #InformationScience #SocialTheory #Sociology #Claude #GoogleColab #HuggingFace #Jupyter #Python #Research #ResearchTraining #Instats

Join Prof. Frank E. Harrell Jr. (Vanderbilt University), a leading authority in applied biostatistics and regression methodology, and Drew G. Levy, PhD, for an online seminar designed for PhD students and professional researchers seeking to strengthen their quantitative research practice. Drawing on Regression Modeling Strategies (Harrell, 2015) and the continuously updated online materials, this workshop covers contemporary approaches to specifying, fitting, validating, and interpreting multivariable regression models for prediction and inference. Participants will explore key challenges in empirical research, including nonlinearity and interactions, overfitting, missing data, model validation, causal inference-based model specification, comparisons between regression and machine-learning approaches, and modeling continuous, binary, ordinal, longitudinal, and survival outcomes. With a strong emphasis on principled model formulation, graphical interpretation, reproducible workflows, and applied R examples using the rms package, the seminar equips participants to produce more robust, transparent, and publishable analyses. The seminar is available via live Zoom sessions or asynchronously with recordings and materials, includes access to an expert-moderated Q&A forum, and provides an official Instats certificate of completion. #BayesianStatistics #Biostatistics #CausalInference #ComputationalStatistics #DataScience #Epidemiology #HealthSciences #LongitudinalDataAnalysis #MachineLearning #MissingData #RegressionModelingStrategies #Statisticalmodellingandregression #Statistics #PublicHealth #R #Research #ResearchTraining #Instats

Social networks are essential for studying diffusion, influence, segregation, cooperation, inequality, and many other relational processes — but analyzing network data well requires methods that account for dependence, structure, measurement, and privacy. Join our one-day online workshop, Modern Statistical Methods for Networks, led by Professor Tianxi Li from the School of Statistics at the University of Minnesota, Twin Cities, for a focused, hands-on introduction to research-grade network analysis in R. Designed for PhD students, faculty, and professional researchers, the workshop will cover network representations and descriptive summaries, statistical inference, stochastic block and latent-space models, community detection, link prediction, attributed network analysis, privacy-preserving data release, and reproducible R workflows for simulation, estimation, diagnostics, and visualization. Participants will gain practical skills for selecting and fitting appropriate models, evaluating assumptions, building defensible link-prediction pipelines, incorporating covariates, and translating empirical questions into reproducible analytic plans suitable for publications and grant work. The seminar is livestreamed via Zoom, with recordings, materials, datasets, code, and a monitored Q&A forum available for 30 days after the session, and participants receive an official Instats certificate of completion. #ComputationalSocialScience #DataScience #SocialTheory #Statistics #MachineLearning #PublicPolicy #Sociology #ComputerScience #R #Research #ResearchTraining #Instats

Research projects are rarely linear, and managing them effectively requires more than task lists and occasional meetings. Join our interactive two-day online workshop, Agile Research Project Management, led by Dr Estefania Mancini from the Josep Carreras Leukaemia Research Institute, designed for PhD students, postdoctoral and staff scientists, and professional researchers who want to bring more structure, transparency, and momentum to their work. Through short lectures, group exercises, and real research case studies, you’ll learn how to adapt Agile, Scrum, Kanban, OKRs, KPIs, mentoring routines, and feedback practices to academic research environments. Participants will leave with practical tools they can use immediately, including research backlog templates, Kanban-style boards, simple Scrum routines, dashboards for tracking goals and metrics, and a personal action plan for improving collaboration and communication. The seminar is delivered live via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the workshop, making it easy to attend live or revisit the content asynchronously. An official Instats certificate of completion is provided. #Management #OrganizationStudies #OperationsResearch #Education #InformationScience #Communication #Notion #Research #ResearchTraining #Instats

Turn strong research ideas into fundable projects with our upcoming online workshop on grant writing for PhD students, postdoctoral researchers, and professional scholars. Led by Dr. DaJaneil McCree and anchored in an actual funded proposal, this seminar treats grant writing as a core research competency rather than a purely administrative task, showing how successful applications connect a compelling research gap, SMART Specific Aims, methodological rigor, feasible design choices, realistic budgets, and reviewer-oriented writing. Participants will learn how to identify suitable funding opportunities, frame significance and innovation, justify methods, plan timelines and deliverables, interpret reviewer critiques, and revise proposals for greater competitiveness. Especially relevant for researchers in behavioral sciences, data science, health sciences, public health, and the social sciences, the workshop offers practical strategies that can strengthen dissertation proposals, pilot studies, foundation applications, federal-style submissions, and collaborative research projects. The seminar is delivered online via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days, and participants receive an official Instats certificate of completion. #BehavioralSciences #DataScience #HealthSciences #PublicHealth #SocialSciences #Sociology #Psychology #Medicine #Education #ChatGPT #Claude #MicrosoftWord #Research #ResearchTraining #Instats

How can researchers move from verbal theory to executable explanation? Join our online seminar on developing computational process theories with R, Positron, and GenAI, led by Professor Goran Kuljanin from DePaul University. Designed for PhD students, postdocs, academics, and professional researchers, this workshop introduces a rigorous approach to translating theoretical ideas into explicit computational models that can be simulated, tested, and refined. Participants will learn how to think computationally about complex phenomena, express assumptions as code, build simulations, set up virtual experiments, analyze simulated data, and interpret emergent patterns. The seminar is especially relevant for researchers in management, psychology, and allied social sciences who want to strengthen the originality, rigor, and explanatory power of their research by moving beyond static narrative construct theories toward dynamic, generative models of scientific processes. The seminar is delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days, and participants receive an official Instats certificate of completion. #SocialSciences #Psychology #ComputerScience #Statistics #DataScience #Management #SoftwareEngineering #Positron #R #Research #ResearchTraining #Instats

Turn image data into publication-ready insights with 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 real-world implementation, covering CNNs, transfer learning, UNet, Mask R-CNN, object detection, Bayesian uncertainty quantification, GRAD-CAM interpretability, OpenCV, OTSU thresholding, reproducible Jupyter workflows on Linux, and effective ChatGPT-assisted coding in Python. Participants will learn how to build, train, evaluate, and interpret image classification, segmentation, and detection pipelines for biological, microscopy, high-throughput, and clinical imaging data, with a strong focus on reproducibility, statistical reporting, experiment design, and publication-quality outputs. All livestream seminars are delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, plus an official Instats certificate of completion. #ComputationalBiology #DataAnalytics #DataScience #MachineLearning #BiomedicalEngineering #Bioinformatics #ComputerScience #ArtificialIntelligence #Statistics #SoftwareEngineering #Biology #ChatGPT #Jupyter #Linux #Python #R #Research #ResearchTraining #Instats

Ready to bring deep learning into your research workflow? Join our one-day intensive online workshop with Professor Nikolay Oskolkov from Molecular Biosciences at Lund University and gain practical, hands-on experience applying deep learning to life sciences research. Designed for PhD students, academics, and professional researchers, this seminar explores neural networks, TensorFlow, Keras, Python, and R for analyzing complex biological datasets, with applications in bioinformatics, computational biology, genomics, single-cell biology, and personalized medicine. Participants will learn how to build, train, evaluate, and refine deep learning models, while also considering best practices, emerging technologies, and ethical challenges in AI-driven science. The seminar is taught via Zoom and includes take-home skill challenges, access to recordings and materials for 30 days, an instructor-monitored discussion forum, and an official Instats certificate of completion, with ECTS Equivalent points available for European students. #Biostatistics #ComputerScience #DataScience #Biology #Bioinformatics #ComputationalBiology #ArtificialIntelligence #SoftwareEngineering #Statistics #Genomics #BiomedicalEngineering #R #Python #TensorFlow #Research #ResearchTraining #Instats

Join Daniel I. Rees (Carlos III University of Madrid) and D. Mark Anderson (Montana State University) for an online workshop designed to help PhD students, postdoctoral researchers, and professional researchers turn applied research projects into stronger, more publishable papers. Focusing on economics and the broader social sciences, the seminar covers the full lifecycle of an empirical paper: identifying promising research questions, assessing project viability, interpreting null results, structuring a convincing narrative, presenting results clearly, using generative AI responsibly, avoiding common pitfalls in event studies and Difference-in-Differences, choosing journals, responding to editors and referees, and building a coherent research agenda for long-term academic success. Participants will gain practical guidance grounded in real publishing, refereeing, and academic career experience, with access to Zoom livestream sessions, recordings and materials for 30 days, a monitored Q&A forum, and an official Instats certificate of completion. #Economics #SocialSciences #DataScience #Statistics #Research #ResearchTraining #Instats

Curious about how AI can support your research, but not looking for a coding or mathematics course? This online seminar offers PhD students and professional researchers a clear conceptual introduction to artificial intelligence, from perceptrons and neural networks to large language models and agentic AI. Designed for scholars across disciplines, it explains how modern AI systems process information, generate outputs, and why they sometimes fail through hallucination, inconsistency, and prompt sensitivity. Participants will develop the foundational understanding needed to evaluate AI tools critically, use them responsibly in literature reviews, coding assistance, text analysis, qualitative and quantitative workflows, and communicate AI-related methodological choices with confidence. The seminar is delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar, making it easy to participate live or asynchronously. An official Instats certificate of completion is provided, with ECTS Equivalent points available where shown. disciplines #Education #InformationScience #DataScience #ComputerScience #OpenRouter #Research #ResearchTraining #Instats

How confident are you in interpreting regression coefficients after a logarithmic transformation? Join Professor Ken Gerow from the Institute for Statistical and Data Science for an online workshop designed for PhD students and professional researchers who want to move beyond fitting transformed models to explaining them clearly, accurately, and publication-ready. This seminar examines how interpretation changes in log-linear, linear-log, and log-log regression models, with practical guidance on percentage changes, proportional effects, doubling and halving, elasticity, confidence intervals, and common interpretation errors. Using worked examples and a reusable Excel-based workflow, participants will learn how to translate technical model output into clear substantive statements for manuscripts, dissertations, grant applications, and collaboration. The workshop is especially relevant for researchers working with skewed variables, multiplicative processes, or settings where relative change is more meaningful than a one-unit increase. Attend live via Zoom or access the recording and materials for 30 days afterward, with an expert-moderated Q&A forum and an official Instats certificate of completion included. #Biology #Econometrics #DataScience #Statistics #Biostatistics #Excel #Research #ResearchTraining #Instats

Strengthen your causal inference toolkit with our advanced online seminar on Difference-in-Differences, designed for PhD students, postdoctoral researchers, and professional researchers working in economics and related social sciences. Taught by Tianchen Li of Middlesex University, this practice-oriented seminar moves beyond mechanical regression use to show how DID can support credible, publishable identification strategies in policy evaluation, labour markets, public economics, organisational change, and other applied research settings. Participants will develop a clear understanding of counterfactual logic, parallel trends, fixed effects, interaction terms, diagnostic checks, robustness analysis, dynamic effects, multi-period DID models, and triple differences, with practical implementation in Stata and examples from published research. The seminar is ideal for researchers who want to align econometric specification with strong causal claims, avoid common inferential mistakes, and present results transparently to supervisors, referees, and research audiences. Offered via Zoom with recordings, slides, code, data, and materials available for 30 days, plus access to an online Q&A forum and an official Instats certificate of completion. #Economics #Statistics #Stata #Research #ResearchTraining #Instats

Join our online seminar on AI-assisted systematic reviewing and meta-analytic workflow design with Moses Boudourides, designed for PhD students, postdoctoral researchers, academic staff, and professional researchers working with large and complex bodies of literature. This practical, methodologically rigorous seminar shows how to use bibliographic APIs, machine learning, large language models, and structured human verification to build transparent, reproducible, and defensible review workflows without requiring programming experience. Participants will learn how to formulate review questions, construct and clean bibliographic corpora, apply AI-assisted screening, extract structured information from full-text PDFs, produce preliminary syntheses and visualizations, and document decisions in ways that support PRISMA-aligned reporting, publication, dissertations, grant applications, and peer review. The seminar is relevant across health and life sciences, social sciences, humanities, engineering, and related fields, with attention to ethical use, algorithmic bias, hallucination risks, audit trails, and the continuing importance of expert human judgment. Livestream sessions take place via Zoom, recordings and materials remain available for 30 days, an online Q&A forum is monitored after the seminar, and participants receive an official Instats certificate of completion. disciplines #Education #Statistics #DataScience #InformationScience #ComputerScience #Nosoftwarerequired #Research #ResearchTraining #Instats

How can researchers use large language models without compromising causal rigor? Join our online seminar on Causal Inference and Large Language Models, designed for PhD students, postdoctoral researchers, and academic staff working with textual, social media, administrative, or mixed-format data. Taught by Moses Boudourides (Northwestern University), this seminar explores how LLMs can be integrated into causal inference workflows to measure latent constructs, generate candidate instruments, support causal discovery, estimate treatment effects with high-dimensional text data, and audit bias in LLM-derived variables. Participants will engage with conceptual foundations and applied workflows using reproducible, fully annotated Python and R scripts, diagnostic tools, and publication-oriented strategies. No prior knowledge of causal inference, LLMs, programming, or coding is required; general familiarity with quantitative research is sufficient. The seminar is delivered online via Zoom, with recordings, slides, scripts, data, readings, and a monitored Q&A forum available for 30 days after the seminar. Participants receive an official Instats certificate of completion, with ECTS Equivalent points where applicable. #AppliedResearch #BayesianStatistics #CausalInference #ComputationalSocialScience #ComputationalStatistics #ComputerScience #DataScience #Economics #EnvironmentalSciences #Finance #Healthcare #MachineLearning #Management #MixedMethods #OrganizationStudies #RegressionModelingStrategies #ResearchMethods #SocialSciences #Sociology #Statisticalmodellingandregression #Statistics #SocialTheory #Python #R #Research #ResearchTraining #Instats

Researchers increasingly rely on online information as empirical evidence, but turning heterogeneous web sources into reliable, analysis-ready data requires the right methodological and technical foundations. This online Instats seminar, led by Moses Boudourides of the Data Science Graduate Program at Northwestern University, offers PhD students, postdoctoral researchers, and professional researchers a rigorous, hands-on introduction to web scraping and structured data collection for academic research. Participants will learn how to identify suitable web data sources, use no-code and programmatic approaches in Python and R, parse HTML and JSON, work with APIs and dynamic content, clean and validate messy outputs, document provenance, and integrate collection workflows into reproducible research pipelines. The seminar also addresses responsible and ethical data collection, including rate limiting, terms of service, and best practices for working with human-generated content. Designed to support publishable empirical work across fields such as computational social science, finance, health sciences, and the life sciences, the seminar provides reusable scripts, templates, cleaned sample files, and documentation tools that participants can adapt directly to their own research projects. Livestream sessions are delivered via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days afterward; participants also receive an official Instats certificate of completion. #AppliedResearch #ComputationalSocialScience #DataScience #DataScraping #Finance #HealthSciences #LifeSciences #Statistics #ComputerScience #InformationScience #SoftwareEngineering #Python #R #Research #ResearchTraining #Instats

How can researchers and instructors use Large Language Models responsibly without compromising scholarly rigor? This online seminar for PhD students and professional researchers introduces a practical, researcher-controlled framework for integrating LLMs into academic workflows while addressing key epistemic and ethical challenges around factual accuracy, structural coherence, bibliographic grounding, and fair attribution. Participants will learn how to identify risks such as structural hallucination, citation distortion, and thematic incoherence, and how to apply lightweight validation methods using familiar tools such as Python, NetworkX, citation parsing, and network analysis. Covering high-stakes applications including manuscript and grant writing, thesis supervision, syllabus design, assessment, and grading, the seminar offers a concrete toolkit for placing LLM-assisted work under transparent human scholarly control. Livestream access is available via Zoom, with recordings, materials, and a monitored Q&A forum available for 30 days after the seminar; participants also receive an official Instats certificate of completion, with ECTS Equivalent points available where shown. disciplines #ArtificialIntelligence #BibliometricResearch #ComputerScience #HigherEducation #Management #OrganizationStudies #ResearchMethods #SocialNetworkAnalysis #Education #DataScience #InformationScience #Ethics #Epistemology #PhilosophyofScience #OpenAI #Python #Research #ResearchTraining #Instats