Notice: Registration for the RECSM Summer School in Survey Methodology 2020 continues as planned.

Due to the Covid-19 pandemic, the 7th edition of the RECSM Summer School in Survey Methodology 2020 has been moved online.

Workshops will be based on an online platform, in which participants will have full access to the course software and live interaction with instructors.



The Research and Expertise Centre for Survey Methodology (RECSM) of the Pompeu Fabra University (UPF) is happy to announce the 7th edition of the Barcelona Summer School in Survey Methodology (June 29th to July 10th, 2020).

The Barcelona Summer School in Survey Methodology is a two-week intensive program covering diverse topics on survey methodology and advanced statistical analysis of survey data. Participants can create their own program choosing from 13 courses covering different topics. The Barcelona Summer School in Survey Methodology is organized by the Research and Expertise Centre for Survey Methodology (RECSM), located at the Pompeu Fabra University, in Barcelona. All courses are taught in English, by leading experts. 

We will also offer two introductory courses on the software Stata and R before each week.  

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


27 June

Course in R Toni Rodon and Stata Jordi Gumà/Diederik Boertien


1st week (29 June – 3 July)


Monday - Wednesday

29 & 30 June - 1 July 

Thursday and Friday

2 - 3 July


Multilevel 1 (12h)
(Practical multilevel modeling)

Carla Rampichini & Leonardo Grilli

Multilevel 2 (8h)
(Analysing comparative longitudinal survey data using multilevel models)

Malcolm Fairbrother


 Questionnaire design, measurement quality and comparability  (12h)

Wiebke Weber & André Pirralha

Probability sampling methods (8h)

Tarek Al Baghal



Causal inference 1 (12h)
(Nonexperimental data)

Bruno Arpino

 Causal inference 2 (8h)
(Survey experiments)

D. J. Flynn


Big Data 1 (Social Media Research) (12h)

Carlos Arcila

Big Data 2 (Predictive analytics) (8h)

Carlos Arcila



2nd week (6 – 10 July)


Monday - Wednesday

6 - 7- 8 July

Thursday and Friday

9 - 10 July


Machine Learning for Social Sciences (12h)

Jorge Cimentada

Social Networks (8h)

Luca De Benedictis


Advanced Regression Model & Analysis (12h)

Robert Luskin




5% early bird discount to those who pay before May 15th, 2020

10% to those who register to at least 3 courses

20% to those who register to at least 5 courses 

Stata and R courses are not included in the discount.


For more information contact: [email protected]

Registration is closed.