GESIS Training

Letzte Chance zur Anmeldung!

👉 https://t1p.de/item-response-theorie-26

Planst du, latente Variablen mit kategorialen Daten zu analysieren? 📐💻

Dann nimm am zur Item-Response-Theorie ( ) teil und lerne, wie du IRT-Modelle zur Beantwortung substantieller und methodischer Forschungsfragen einsetzen kannst.

In praxisnahen Übungen mit R behandelst du unter anderem:

• Grundlagen latenter Messmodelle
• Datenaufbereitung für IRT-Analysen
• zentrale IRT-Modelle (Rasch, 2PL, 3PL, Partial Credit)
• verschiedene Schätzverfahren (JML, CML, MML)
• Fragen der Messqualität, z. B. Reliabilität, Validität und DIF
• Anwendungen von IRT-Modellen auf Quer- und Längsschnittdaten

Info & Registrierung ➡️ https://t1p.de/item-response-theorie-26

GESIS - Leibniz-Institut für Sozialwissenschaften

💻 Your commute? Just a few clicks.

Online course on – join from wherever you are.

Curious about complex interactions between individuals? 🧐

Join Daniel Mayerhoffer to learn how to simulate these interactions and their outcomes using and other languages.

🎯 Learning objectives
By the end of the course, you will:

✅ Be able to conceptualize common types of ABMs and implement them in NetLogo.
✅ Understand and apply all major NetLogo commands.
✅ Know the fundamentals of implementing ABMs independent of programming language.
✅ Use large language models as “collaborators” for defining and refining ABM concepts and implement these concepts in the programming language of your choice.
✅ Critically evaluate your own and others' ABMs in terms of internal and external validity.
✅ Identify potential use cases of ABMs in your research settings.
✅ Have a first version of your own ABM ready to be analyzed for a future research paper.

phases begin on Day 2, giving participants the opportunity to apply their learning in a collaborative, hands-on project throughout the remainder of the course.

Secure your spot now at https://t1p.de/AgentBasedModeling.



GESIS - Leibniz-Institut für Sozialwissenschaften

🔗 Ready to connect the dots? Integrate survey data with nonprobability samples, admin records & digital traces – and put it into practice with .

👉 https://t1p.de/SurveyDataIntegration

GESIS - Leibniz-Institut für Sozialwissenschaften

🚀 Your survey data alone may not be enough.

Learn with Camilla how to integrate survey data with nonprobability samples, administrative records, and digital traces in our – with plenty of hands-on .

Apply the methods to your own data!

Over three days, you'll cover:

• Day 1 – Inference for Nonprobability Samples: Weighting, calibration, propensity score methods, mass imputation & doubly robust approaches

• Day 2 – Record Linkage & Statistical Matching: Deterministic & probabilistic linkage, parametric & nonparametric matching

• Day 3 – Surveys & Digital Trace Data: Integration strategies & quality issues

Info & registration ➡️ https://t1p.de/SurveyDataIntegration

GESIS - Leibniz-Institut für Sozialwissenschaften

3.5 weeks, countless discussions, new perspectives – and a lot of learning.

After three and a half intensive weeks, the GESIS Summer School in Survey Methodology 2026 came to an end on 14 August. Looking back, it has once again been a great opportunity to bring together researchers from across Europe and beyond to learn from leading experts, exchange ideas and explore new approaches to survey research.

Across four weeks, our participants worked on a broad range of topics – from advanced questionnaire design, factorial surveys and pretesting to causal inference, latent variable modelling, and data science. We also explored emerging topics such as AI in survey research, bots in web studies, LLM personas and unexpected event designs, alongside practical training in R.

And learning did not stop during the breaks. Our Lunch Talks brought additional perspectives to the Summer School, with insights into AI-assisted questionnaire evaluation, conjoint and mediation analysis, panel conditioning, LLM personas and unexpected event designs. They offered plenty of food for thought – and sparked many conversations beyond the sessions.

There was also plenty of time to connect outside the classroom. On three Thursdays, we headed to a traditional Cologne Brauhaus for a relaxed evening together – a chance to continue conversations over a Kölsch and give our international participants a taste of local Cologne culture.

That combination of methodological depth, hands-on learning and exchange among researchers is what makes the GESIS Summer School a leading summer school for survey methodology in Europe. But what really brings it to life are the people: our participants, lecturers, speakers and everyone working behind the scenes to make these three and a half weeks possible.

A huge thank you to all our participants and lecturers for the discussions, questions, ideas and energy you brought to us. And thank you to our guest speakers for sharing your research and perspectives with us.

We are also very grateful to our academic and funding partners for their continued support. The Graduate School of Economic and Social Sciences (GESS) at the Universität Mannheim - University of Mannheim awarding 4 ECTS credits, acknowledging the substantial workload involved. Our thanks also go to the European Survey Research Association (ESRA) for funding four scholarships and helping make participation possible for students who might otherwise not have been able to join us.

And a big thank-you to our sponsors Bilendi Germany, infas Institut für angewandte Sozialwissenschaft GmbH and Verian for their continued support of the GESIS Summer School. Your commitment helps us keep building this tradition of excellence in survey research.

Three and a half weeks may be over, but hopefully the conversations, connections and new approaches will continue well beyond the Summer School.

See you next summer! 🌞

📑 Swipe through our official Look Back 👀.

GESIS - Leibniz-Institut für Sozialwissenschaften

💡𝐀𝐤𝐭𝐢𝐯𝐧𝐨𝐬𝐭𝐢 𝐦𝐥𝐚𝐝𝐢𝐡 𝐢𝐬𝐭𝐫𝐚ž𝐢𝐯𝐚č𝐚

📊 Naš asistent 𝗧𝗶𝗯𝗼𝗿 𝗞𝗼𝘃𝗮č sudjelovao je na ljetnoj školi 𝗖𝗮𝘂𝘀𝗮𝗹 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗨𝘀𝗶𝗻𝗴 𝗦𝘂𝗿𝘃𝗲𝘆 𝗗𝗮𝘁𝗮 u organizaciji Instituta za društvene znanosti GESIS – Leibniz (GESIS - Leibniz-Institut für Sozialwissenschaften), održanoj 10. – 14. 8. u Kölnu.
Petodnevni program bio je posvećen metodama uzročnog zaključivanja na temelju anketnih podataka — od okvira potencijalnih ishoda (potential outcomes), kontrafaktuala i uzročnih grafova (DAG-ova), preko modela fiksnih efekata za panel podatke i matching tehnika, do prirodnih eksperimenata, metode razlike u razlikama (difference-in-differences), regresijskog diskontinuiteta (RDD) i instrumentalnih varijabli. Sudionici su znanje odmah primjenjivali kroz praktične vježbe u statističkom programu Stata na stvarnim društveno-znanstvenim primjerima.
Ovakva stručna usavršavanja doprinose jačanju metodoloških kompetencija naših istraživača te kvaliteti empirijskih analiza koje provodimo u sklopu istraživačkih projekata Instituta.

𝘍𝘰𝘵𝘰𝘨𝘳𝘢𝘧𝘪𝘫𝘢 𝘱𝘳𝘦𝘶𝘻𝘦𝘵𝘢 𝘰𝘥 GESIS Training.
𝘖𝘷𝘢 𝘢𝘬𝘵𝘪𝘷𝘯𝘰𝘴𝘵 𝘥𝘪𝘰 𝘫𝘦 𝘱𝘳𝘰𝘫𝘦𝘬𝘵𝘢 „𝘛𝘳ž𝘪š𝘵𝘦 𝘳𝘢𝘥𝘢 𝘪 𝘥𝘳𝘶š𝘵𝘷𝘦𝘯𝘰 𝘣𝘭𝘢𝘨𝘰𝘴𝘵𝘢𝘯𝘫𝘦 𝘶 𝘶𝘷𝘫𝘦𝘵𝘪𝘮𝘢 𝘴𝘵𝘢𝘳𝘦𝘯𝘫𝘢 𝘴𝘵𝘢𝘯𝘰𝘷𝘯𝘪š𝘵𝘷𝘢 (𝘛𝘙𝘈𝘋𝘚𝘛𝘈𝘙)“ 𝘧𝘪𝘯𝘢𝘯𝘤𝘪𝘳𝘢𝘯𝘰𝘨 𝘴𝘳𝘦𝘥𝘴𝘵𝘷𝘪𝘮𝘢 𝘪𝘻 𝘕𝘢𝘤𝘪𝘰𝘯𝘢𝘭𝘯𝘰𝘨 𝘱𝘭𝘢𝘯𝘢 𝘰𝘱𝘰𝘳𝘢𝘷𝘬𝘢 𝘪 𝘰𝘵𝘱𝘰𝘳𝘯𝘰𝘴𝘵𝘪 2021.-2026. – 𝘕𝘦𝘹𝘵𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘌𝘜."

Does your method really work? 🤔

Find out with simulation studies!
👉 https://t1p.de/simulation_studies_26

GESIS - Leibniz-Institut für Sozialwissenschaften

🧩 Demystify statistical methods with simulation studies!

Join our with Matteo Quartagno and Tra My Pham to learn how to create, analyze, and report simulations in R and Stata. Discover when statistical methods perform well – or fail – identify potential biases, and compare alternative approaches.

🎯 By the end of the workshop, you'll be able to:
✅ Plan simulation studies by understanding the principles, rationale, and limitations of simulation-based research.
✅ Code simulation studies by designing, implementing, and debugging simulations in R and Stata.
✅ Analyze simulation outputs and interpret the results effectively.
✅ Report simulation studies by communicating findings clearly and preparing results for publication.

Find out more and register here ➡️ https://t1p.de/simulation_studies_26

GESIS - Leibniz-Institut für Sozialwissenschaften

👥 Gute Gruppendiskussionen beginnen lange vor der ersten Frage!

⏰ Anmeldeschluss: 24. August!

Sichere Dir jetzt noch Deinen Platz!
👉 https://t1p.de/gruppendiskussionen-26

GESIS - Leibniz-Institut für Sozialwissenschaften

👥🗣️ Gute Gruppendiskussionen entstehen nicht zufällig – sie werden gezielt gestaltet!

Ob in der Forschung, Marktforschung oder Organisationsentwicklung – sind eine wertvolle Methode zur Analyse kollektiver Meinungsbildungsprozesse. Doch wie plant, moderiert und analysiert man sie wirkungsvoll?

Unser mit Thomas Kühn bietet einen praxisnahen Leitfaden von der Rekrutierung bis zur Datenanalyse.

Lerne, wie du:
✅ Gruppendiskussionen gezielt entlang deiner Forschungsfragen planst und strukturierst
✅ Teilnehmende rekrutierst und wirkungsvolle Gruppen zusammenstellst
✅ Diskussionen moderierst und Gruppendynamiken professionell steuerst
✅ Diskussionsdaten analysierst und Erkenntnisse sinnvoll in deine Forschung integrierst

Jetzt anmelden ➡️ https://t1p.de/gruppendiskussionen-26

GESIS - Leibniz-Institut für Sozialwissenschaften

⏳ Die Anmeldung für den Kurs „Qualitative Netzwerkanalyse“ ist noch bis 17. August möglich.

Alle Infos und Anmeldung 👉 https://t1p.de/qual-netzwerkforschung

Tauche ein in die qualitative Netzwerkforschung mit Laura Behrmann Bergische Universität Wuppertal & Markus Gamper Universität zu Köln!

In unserem dreitägigen erhältst du das methodische Rüstzeug, um eigene qualitative Netzwerkstudien zu konzipieren und umzusetzen – mit viel Raum für praktische Übungen und Austausch.

Im Verlauf des Workshops lernst du zentrale Ansätze und wegweisende Studien der qualitativen Netzwerkforschung kennen und erhältst Einblicke in bewährte methodische Vorgehensweisen aus der Forschungspraxis.

📚 Was erwartet dich?

• Einführung in zentrale Begriffe und Konzepte der Netzwerkforschung
• Herausforderungen qualitativer Netzwerkstudien
• Methoden zur Datenerhebung und -auswertung
• Anwendung auf eigene Forschungsideen – Entwicklung eines eigenen qualitativen Netzwerkforschungsprojekts von der Idee bis zum Forschungsdesign

➡️ Jetzt informieren & anmelden: https://t1p.de/qual-netzwerkforschung

GESIS - Leibniz-Institut für Sozialwissenschaften

The in Computational Social Science starts soon – we can't wait!

🗓️ 31 Aug – 29 Sep 2026
📍 GESIS Mannheim or online

More info at gesis.org/fallseminar. Full program & registration at t1p.de/FallSeminar2026-Program. A few spots are still available.

GESIS - Leibniz-Institut für Sozialwissenschaften

Day 3 at is going strong! 🚀

Today, our online short course welcomed Beyers Louw, while participants in Applied Introduction to Bots in Web-based Studies continued their hybrid learning journey. At the same time, Causal Inference Using Survey Data brought participants together onsite.

Plenty of brainpower was heating up today – and tomorrow, Cologne’s temperatures are set to match. ☀️🧠🥵



GESIS - Leibniz-Institut für Sozialwissenschaften