Instats je ponudnik izobraževanj s področja znanstveno raziskovalnega dela, predvsem uporabe različnih programov in metod pri statistični obdelavi podatkov.
UM PEF je partnerska institucija z Instats, zato imajo zaposleni 30 % popust na izobraževanja.
Spodaj so prihajajoči spletni seminarji v živo na Instats, ki bi vas morda zanimali. Če se prijavite na kateri koli spletni seminar v živo ali na zahtevo na Instats s svojim univerzitetnim/organizacijskim e-poštnim naslovom, boste avtomatično prejeli 30 % popusta. Uživajte!
Finding Unpublished Clinical Trial Data with Julie Glanville & Carol Lefebvre – Livestreaming Dec 12 – Dec 12
This workshop provides an overview of identifying clinical trials and trial results for systematic reviews and other evidence syntheses.
AI-Powered Qualitative Analysis in R with Kenneth Benoit & Seraphine Maerz – Livestreaming Dec 12 – Dec 12
This hands-on workshop introduces AI-assisted qualitative analysis in R, guiding participants through flexible, accessible workflows to annotate and code text, images, audio, PDFs, and tabular data with minimal programming.
Tuning LLMs for Text Analysis with Seraphine Maerz – Livestreaming Dec 16 – Dec 16
This one-day workshop provides hands-on, research-oriented training in fine-tuning large language models (LLMs) for extracting reliable, domain-specific insights from text data.
Ethical AI for Qualitative Research with Philip Adu – Livestreaming Jan 8 – Jan 9
This five-hour, two-day seminar equips qualitative researchers to use AI responsibly with the STRESS Framework™ (Sensitivity, Transparency, Responsibility, Ethics, Skepticism, Security).
From Peer Reviewing to Editing Journals with Carlton Fong – Livestreaming Jan 9 – Jan 9
“From Peer Reviewing to Editing Journals” trains researchers to move from reactive gatekeeping to proactive editorial leadership by teaching rigorous, efficient review practices and concrete pathways into editorial roles.
Introduction to Spatial Econometrics with Edward Goldring – Livestreaming Jan 12 – Jan 16
This seminar provides the knowledge and tools to apply spatial econometric models, addressing how crucial spatial dynamics in politics are often omitted from standard statistical analysis.
Macroecology Using R with Renan Maestri – Livestreaming Jan 12 – Jan 17
This hands-on workshop trains researchers to turn large geographic, trait, and phylogenetic datasets into rigorous, reproducible analyses and publication-quality maps and metrics of biodiversity across space and time using R.
Questionnaire Design Principles and Practices with Surette van Staden – Livestreaming Jan 13 – Jan 13
This intensive seminar covers principles and practical steps for designing high-quality questionnaires — from translating conceptual frameworks into measurable constructs and writing unbiased, cross-culturally equivalent items to translation, cognitive pretesting, piloting, and linking instruments to scaling and analytic strategies — illustrated with examples from PIRLS and other international large-scale assessments (ILSAs).
Deep Learning for Scientific Research 2.0 with Nikolay Oskolkov – Livestreaming Jan 13 – Jan 13
This intensive workshop provides a comprehensive exploration of deep learning applications for scientific research, with examples and practical techniques applied to complex biological datasets.
Machine Learning for Computational Biology 2.0 with Nikolay Oskolkov – Livestreaming Jan 14 – Jan 14
This one-day workshop, led by Nikolay Oskolkov from Lund University, provides a comprehensive introduction to machine learning techniques in computational biology, focusing on both theoretical knowledge and practical coding skills in R and Python.
Organizational Humor (Free Seminar) with Cecily Cooper – Livestreaming Jan 14 – Feb 16
This one-hour presentation brings together historical theory and contemporary measurement practice to help organizational researchers conceptualize humour clearly—distinguishing behaviour, intent, appraisal, and response—and to employ (or design) valid, reliable instruments for use in survey and experimental research.
Success as an Applied Statistician (Free Seminar) with Frank Rockhold & Joan Buenconsejo & Richard Zink & Harold Gomes & Mat Soukup – Livestreaming Jan 15 – Jan 15
The webinar will be an open exchange among applied statisticians working across various fields.
Statistical Analysis of Social Network Data with Tianxi Li – Livestreaming Jan 16 – Jan 16
This hands-on seminar introduces modern statistical methods for social network data, from network fundamentals to advanced statistical network models and privacy considerations.
Demand Prediction with Python with Isik Bicer – Livestreaming Jan 20 – Jan 24
This workshop brings together statistics, machine learning, and operations research to address modern demand‑forecasting challenges through rigorous theory and hands‑on Python practice covering tailored regression and regularization, time‑series methods, probabilistic forecasting, classification for product selection, and simulation‑based uncertainty modeling.
Causal AI for Real-World Data with Andy Wilson & Meghann Gregg & Kathryn Morrison – Livestreaming Jan 20 – Jan 20
Causal AI for Real-World Data provides a compact, rigorous, hands‑on treatment of contemporary causal inference, guiding researchers from question specification and DAG‑based identification to defensible estimation and sensitivity analysis of observational health data.
Foundations of Valid Measurement with Dev Dalal – Livestreaming Jan 21 – Jan 21
This seminar focuses on developing and evaluating measurement instruments through the lens of construct theory.
Interpreting Relative Effects with Ken Gerow – Livestreaming Jan 22 – Jan 23
This seminar demonstrates the role of logarithmic transformations to capture relativity in statistical relationships.
Egocentric Social Network Analysis with Bryce Hughes – Livestreaming Jan 24 – Jan 25
This two-day hands-on workshop introduces researchers to egocentric social network analysis (SNA) using Stata, combining conceptual foundations with practical applications.
Foundations of Statistical Models and Linear Regression with Centre for Applied Statistics Courses (CASC) – Livestreaming Jan 26 – Jan 29
This three-day workshop provides a comprehensive introduction to regression analysis, focusing on practical application using software such as Stata, R, and SPSS.
Researching Crowdfunding with Douglas Cumming – Livestreaming Jan 28 – Feb 25
This comprehensive seminar delves into the intricacies of crowdfunding, focusing on rewards, equity, and debt-based models, providing a deep understanding of their operations, challenges, and opportunities within the financial ecosystem.
Data Management and Statistical Analysis with SPSS with Centre for Applied Statistics Courses (CASC) – Livestreaming Jan 30 – Jan 31
The “Introduction to SPSS” workshop by the Centre for Applied Statistics Courses (CASC) at University College London is a comprehensive course designed to equip researchers from various fields with the skills to perform data analysis using SPSS.
Causal Inference with AI and Machine Learning with Jason Anastasopoulos – Livestreaming Jan 31 – Feb 3
This seminar is designed for researchers, practitioners, and policymakers who want to move beyond prediction to understand cause-and-effect relationships.
Multilevel Models in R with ChatGPT with Andy Lin – Livestreaming Feb 3 – Feb 6
Learn to fit, interpret, and report linear and generalized linear multilevel models for clustered and hierarchical data in R.
Power and Sample Size in Excel with Centre for Applied Statistics Courses (CASC) – Livestreaming Feb 3 – Feb 4
This seminar is designed to equip researchers with the necessary skills to conduct robust research by calculating power and sample size.
Longitudinal Data Analysis and Growth Curve Models with Paola Zaninotto & Giorgio Di Gessa – Livestreaming Feb 9 – Feb 11
This two-day workshop provides a comprehensive exploration of mixed models and growth curves, focusing on the practical application of these methods in Stata and R for analyzing longitudinal data.
Introduction to Logistic Regression with Centre for Applied Statistics Courses (CASC) – Livestreaming Feb 9 – Feb 10
This one-day seminar provides a comprehensive introduction to logistic regression, a critical technique for analyzing binary outcome variables in various research fields.
Introduction to Mixed Methods Research: From Theory to Practice 2.0 with Sergi Fabregues – Livestreaming Feb 10 – Mar 12
This seminar provides a comprehensive introduction to mixed methods research, integrating both qualitative and quantitative approaches to offer a deeper understanding of complex research questions.
Dealing with Missing Data with Centre for Applied Statistics Courses (CASC) – Livestreaming Feb 16 – Feb 19
This seminar provides a comprehensive introduction to dealing with missing data in research, covering essential concepts such as the types and reasons behind missing data, and effective/popular methods for addressing these issues, including multiple imputation and listwise deletion.
Chi-Square and Beyond for 2×2 Tables with Centre for Applied Statistics Courses (CASC) – Livestreaming Feb 20 – Feb 21
This workshop offers a comprehensive understanding of the chi-square test and its advanced applications.
Ethnography in Risky Settings with Tobias Marschall – Livestreaming Feb 26 – Feb 28
This workshop examines the ethical and political demands of ethnography in risky settings, where danger and uncertainty often push work beyond procedural ethics.
Survival Analysis and Cox Regression with Centre for Applied Statistics Courses (CASC) – Livestreaming Mar 3 – Mar 4
This seminar offers a complete introduction to survival analysis, also known as time-to-event data modeling.
Researching Emotion and Colour Links with Domicele Jonauskaite – Livestreaming Mar 5 – Mar 5
Why do we see red, feel blue, or turn green with envy? Are colour–emotion links universal or shaped by language and culture? Dr Domicele Jonauskaite presents findings from a systematic review and data from 73 countries, revealing shared patterns and cultural differences explained by geography and language.
Introduction to Generalizability Theory with Duncan Jackson & George Michaelides – Livestreaming Mar 6 – Mar 10
Generalizability theory (G theory) is a statistical framework used to inform on measurement reliability.
ANOVA and GLMs with SPSS with Centre for Applied Statistics Courses (CASC) – Livestreaming Mar 16 – Mar 17
This workshop offers a comprehensive exploration of ANOVA and General Linear Models, designed for PhD students, professors, and professional researchers from many fields.
Using Experiments in Applied Economics with Sebastian Galiani – Livestreaming Mar 20 – Mar 28
This four-day workshop provides an in-depth exploration of experimental methods in applied economics, focusing on the identification and interpretation of causal effects to enhance empirical research outcomes.
Assessing Reliability and Validity with Centre for Applied Statistics Courses (CASC) – Livestreaming Mar 23 – Mar 24
This workshop provides a comprehensive understanding of reliability and validity in academic research.
ChatGPT for Machine Learning and AI with Giovanni Cerulli – Livestreaming Mar 26 – Mar 28
This seminar is an introduction to Machine Learning and Artificial Intelligence methods for the social, economic, and health sciences using Python and ChatGPT as a coding assistant.
Applied Research Methods for Social Scientists with James F. Downes – Livestreaming May 11 – May 15
This interactive, practical course bridges theory with contemporary social-science research and policy.
AI-Powered Business Analytics for Researchers with Martin Qiu – Livestreaming May 15 – May 16
This four-session workshop bridges the gap between established research methods and modern business-analytics techniques.
Nonlinear Structural Equation Modeling with Holmes Finch – Livestreaming Jun 12 – Jun 12
This seminar provides researchers with the theoretical framework and hands-on implementation needed to specify, estimate, and interpret complex nonlinear relationships among latent variables in R and Mplus.
