We are excited to announce that the Summer Institute in Computational Social Science (SICSS) will be held in person at the WZB Berlin Social Science Center from July 8 to July 18, 2024. SICSS aims at training advanced MA-students, PhD students, postdoctoral researchers, and early-stage faculty in computational social science methods and fostering collaborations. The SICSS is open to both social scientists and data scientists.

The focus of the SICSS-Berlin is on text as data, including web scraping, data cleaning, and text analysis, at beginner level.

The instructional program will involve lectures, group problem sets, and participant-led research projects. There will also be outside speakers who conduct computational social science research in a variety of settings, including academia and government. There will be ample opportunities for participants to discuss their ideas and research with the organizers, other participants, and visiting speakers. Because we are committed to open and reproducible research, all materials created by faculty and students for the Summer Institute will be released open source.

We welcome applicants from all backgrounds and fields of study, especially applicants from groups currently under-represented in computational social science. About 15 participants will be accepted to the Berlin SICSS and participants are expected to fully attend and participate in the entire two-week program. Unfortunately, we are unable to cover travel and lodging expenses.

Find out more and apply here: https://sicss.io/2024/berlin/
Deadline for applications is April 14, 2024.

We look forward to hearing from you.

the SICSS-Berlin organizing Team