Methods School

Level: Introductory

• Introduction to Large Language Models for Social and Political Data Analysis

  Giovanni Pagano · 15–19 Feb 2027

• Introduction to Social Network Analysis New

  Giacomo Melli · 15–19 Feb 2027

Level: Intermediate

• Applied Machine Learning in Python New

  Igor Tkalec · 15–19 Feb 2027

• Quantitative Text Analysis, Machine Learning and Studying AI in Politics using R

  Zoë Greene · 22–26 Feb 2027

Level: Advanced

No advanced course

Level: Introductory

• Analysing your Qualitative Data with MAXQDA

  Andreas Müller · 15–19 Feb 2027

• Case Study Research: Method and Practice

  Ingo Rohlfing · 15–19 Feb 2027

  Builds on

  • Research Design for Political and Social Scientists: From Question to Feasible Project

  Leads on to

  • Process Tracing Methods
• Discourse Analysis New

  Lea Sgier · 22–26 Feb 2027

• Introduction to Comparative Historical Analysis

  Daniel Ritter · 22–26 Feb 2027

• Introduction to Qualitative Comparative Analysis

  Seweryn Krupnik · 22–26 Feb 2027

• Political Ethnography: Method, Sensibility, Writing

  Kristin Anabel Eggeling · 22–26 Feb 2027

• Qualitative Interviewing for Social Science Research New

  Juan Masullo · 15–19 Feb 2027

Level: Intermediate

• Process Tracing Methods

  Wouter Wolfs · 22–26 Feb 2027

  Builds on

  • Case Study Research: Method and Practice

Level: Advanced

No advanced course

Level: Introductory

• Data Visualisation for the Social Sciences New

  Felicia Loecherbach · 22–26 Feb 2027

  Builds on

  • Introduction to Spatial Data Analysis with R
• From Correlation to Causation: Introduction to Causal Inference Methods New

  Gloria Gennaro · 15–19 Feb 2027

• Introduction to Spatial Data Analysis with R

  Fernando De la Cuesta · 22–26 Feb 2027

  Builds on

  • Statistical Modelling with R

  Leads on to

  • Data Visualisation for the Social Sciences
  • Multilevel Models: Specification, Inference and Reporting
• Research Design for Political and Social Scientists: From Question to Feasible Project New

  Anne-Marie Jeannet · 22–26 Feb 2027

  Leads on to

  • Case Study Research: Method and Practice
• Statistical Modelling with R

  Alexandru Moise · 15–19 Feb 2027

  Leads on to

  • Introduction to Spatial Data Analysis with R
  • Bayesian Data Analysis for Social Scientists
  • Multilevel Models: Specification, Inference and Reporting
• Survey Design

  Julia Partheymüller · 22–26 Feb 2027

  Leads on to

  • Latent Variable Models for Survey Data: From Factor Analysis to Item Response Theory

Level: Intermediate

• Bayesian Data Analysis for Social Scientists

  Chendi Wang · 15–19 Feb 2027

  Builds on

  • Statistical Modelling with R
• Latent Variable Models for Survey Data: From Factor Analysis to Item Response Theory New

  Ingrid Mauerer · 22–26 Feb 2027

  Builds on

  • Survey Design
• Multilevel Models: Specification, Inference and Reporting New

  Francesco Marolla · 22–26 Feb 2027

  Builds on

  • Introduction to Spatial Data Analysis with R
  • Statistical Modelling with R

Level: Advanced

No advanced course