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	Precision in Practice: Master Your Research Data

Explore Summer School Quantiative Courses

Advance your research with our intensive quantitative workshops. From mastering causal inference and social networks to automating text analysis with NLP, these courses provide the advanced analytical tools and hands-on skills needed to navigate today’s complex data landscapes.

Prof. Michael Grätz, University of Lausanne, Switzerland

Causal Analysis with Observational Data

Master modern causal inference to move beyond simple correlations. Using R or Stata, you will learn to apply instrumental variables, difference-in-differences, and RDD to identify causal effects and control for unobserved variables in observational research.

Prof. Thomas Hills, University of Warwick, UK

Using Social Network Analysis to Understand Data

Learn to uncover hidden structures, hierarchies, and communities within your data. Using R, you will explore concepts like centrality, homophily, and small-world analysis to identify key actors and patterns of information flow across social, economic, or linguistic networks.

Prof. Eugène Horber, professor emeritus, UNIL, CH

Multivariate Methods for Social Researchers

Deepen your statistical expertise by exploring tools for complex data reduction and model building. From multiple regression to factor analysis and tree models, this course focuses on applying multivariate techniques to real-world RQs while navigating the pitfalls of statistical assumptions.

Prof. Lukasz Walasek, University of Warwick, UK

Working with Large Online Datasets for Social Science R

Master web scraping, data mining, and big data techniques in R to unlock the digital insights of the internet. Completely refreshed for 2026, this course teaches you to build web crawlers and navigate the ethics of harvesting massive online datasets to transform your research.

Prof. Thomas Hills, University of Warwick, UK

Content Analysis and Natural Language Processing

Unlock the power of text by scaling qualitative insights with digital tools. You will learn to automate large-scale analysis—from sentiment to topic modelling—to detect cultural shifts or track language patterns using R, saving months of manual research time.

Prof. Bernhard Kittel, University of Vienna, Austria

Designing Experiments in the Social Sciences

Learn to design and implement social science experiments. From hypothesis to data analysis, cover lab, field, and survey experiments. Explore causality, validity, and ethics. Practical sessions include designing and running your own experiment.

Partnering with MethodsNET for 2026

Global Excellence in Methods

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We are proud to partner with MethodsNET to champion excellence in research. Join our mission and explore the complementary 2026 programmes in Lugano and Vienna. Check the Vienna course list and register by 20 April