Pompeu Fabra University - 11th edition of the RECSM Summer Methods School (June 24 to July 12, 2024)

Deadline: May 31, 2024

Program Starts: June 24, 2024

Program Ends: July 12, 2024

Events

Summer & Winter Schools

Location(s)

Spain

Campus Poblenou - Universitat Pompeu Fabra, Barcelona

Overview

The RECSM Summer Methods School is a three-week intensive program covering diverse topics on survey methodology and advanced statistical analysis of survey data. Participants choose from 14 courses covering different topics to create their own program. All courses are taught by leading experts around the world. During the first week, we will offer introductory courses, including courses on software programming in R and STATA, while the second and third week focuses on more advanced learning.

Details

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

Courses

Week 1 - Introductory courses

June 24 to June 28
Format: online & on-site

Introduction to STATA (8-hour course, 2 days) - Josep Comellas
Introduction to R (8-hour course, 2 days) -Toni Rodon
Quantitative methods in social research (12-hour course, 3 days) - Burak Sonmez
Introduction to regression (12-hour course, 3 days) - Daniele Toninelli

Week 2 - Regular courses

July 1 to July 5
Format: online & on-site

Causal inference (12-hour course, 3 days) - Bruno Arpino
The ABCs of Regression Discontinuity Designs and Instrumental Variables (12-hour course, 3 days) - Mar C. Espadafor
Multilevel 1: Understanding the foundations of multilevel models (12-hour course, 3 days) - Carla Rampichini & Leonardo Grilli
Advances in comparative survey research and survey data harmonization (12-hour course, 3 days) - Marta Kołczyńska
Survey experiments (12-hour course, 3 days) - Jordi Muñoz

Week 3 - Regular courses

July 8 to July 12
Format: online & on-site

Understanding and modeling voting behavior (8-hour course, 2 days) - Marco Steenbergen
Computational analysis of social media (12-hour course, 3 days) - Carlos Arcila
Machine learning for social sciences (12-hour course, 3 days) - Christoph Kern
Questionnaire design (12-hour course, 3 days) - Diana Zavala-Rojas
Multilevel 2 (12-hour course, 3 days) - Alexander Schmidt-Catran

Opportunity is About

Computers & IT Economics & Business Engineering Physics & Math

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

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.