RECSM Summer Methods School 2026

RECSM Summer Methods School 2026

In-person and online

 

The Research and Expertise Centre for Survey Methodology (RECSM) announces the 13th edition of the RECSM Summer Methods School!

June 29 to July 17, 2026

The RECSM Summer Methods School is a three-week-long intensive program covering diverse topics on survey methodology and advanced statistical analysis of survey data. Participants can choose from 11 courses covering different topics taught by leading experts from around the world.  

Target group: Professionals, researchers and students who wish to develop high-quality surveys and employ up-to-date statistical methods for survey and quantitative data analyses. Potential attendees include survey practitioners, marketing professionals, social science students, and researchers.

Objective: To provide participants with the knowledge and skills needed to design surveys, implement statistical analyses and carry out quantitative research.

Format: Online & On-site

Location: Universitat Pompeu Fabra - Campus de la Ciutadella
 


 

Department of Political and Social Sciences

Edifici Mercè Rodoreda (campus de la Ciutadella)
Ramon Trias Fargas, 25-27
08005 Barcelona

 +34 93 542 15 58

[email protected]

  


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Week 1

Quantitative Methods in Social Research

Course syllabus

  • Format: hybrid
  • Dates: June 29 - July 1, 2026 
  • Instructor: Burak Sonmez

Introduction to R

Course syllabus

  • Format: hybrid
  • Dates: June 29 & 30, 2026 
  • Instructor: Toni Rodon

Unsupervised Learning: Factor and Cluster Analysis in Practice

Course syllabus

Multilevel - Analyzing Comparative Longitudinal Survey Data Using Multilevel Models

Course syllabus

Week 2

Designing Questionnaires in the Age of Al

Course syllabus

  • Format: hybrid
  • Dates: July 6 - July 8, 2026 
  • Instructor: Wiebke Weber

Survey Experiments

Course syllabus

  • Format: hybrid
  • Dates: July 6 - July 8, 2026 
  • Instructor: Jordi Muñoz

Comparative Survey Research and Survey Data Harmonization

 

Course syllabus

From Prompt to Pipeline: Using AI in Quantitative Research

Course syllabus

Week 3

Structural Equation Modelling

 

Course syllabus

  • Format: hybrid
  • Dates: July 13 - July 15 2026 
  • Instructor: Beth Grandfield

Causal Inference

Course syllabus

  • Format: hybrid
  • Dates: July 13 - July 15 2026 
  • Instructor: Bruno Arpino

The ABCs of Regression Discontinuity Designs and Instrumental
Variables

Course syllabus

Please see this year's Course Calendar


UPF students and individuals who have taken a course at UPF before can use this registration link to Secretaria Virtual.

All other (non-UPF) participants, please use the following links to create an account with instructions in your language of preference: CatalanEnglish, or Spanish

All courses will be taught in English. 

​​​Registration deadline: 22nd of June (until 23.59 CET)

Registration guide