The Summer Institute in Computational Social Science (SICSS) is co-organized by Christopher Bail and Matthew Salganik with the purpose of introducing graduate students, postdoctoral researchers, and beginning faculty to computational social science.
Program Overview
The purpose of the Summer Institutes is to bring together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. The Summer Institutes are for both social scientists and data scientists. Since 2017, SICSS Institutes have provided more than 1,200 young scholars with cutting-edge training in the field and the opportunity to develop more than 120 research collaborations that break down disciplinary barriers. There is no tuition required to attend the Summer Institutes, and some locations cover the cost of travel, accommodation, and meals.
LEARNING
The instructional program includes lectures, group problem sets, and participant-led research projects, and outside speakers who conduct computational social science research in a variety of settings, such as academia, industry, and government.
TOPICS
SICSS programs cover automated text analysis, website scraping, digital field experiments, non-probability sampling, mass collaboration, ethics, and many other issues. These subjects are taught by a group of core faculty as well as visiting speakers.
OPEN SOURCE
In order to increase educational opportunties, all materials created by faculty for the Summer Institutes are open source and archived on this site for others to learn from or use in their own courses.
Daily Schedule
Though the Institute starts on the 14, events begin in earnest on the 15th.
The institute will follow the following schedule each day.
Daily Overview8:30 AM
Speaker Session9:00 AM
Break10:15 PM
Workshop10:30 AM
Lunch12:00 PM
Speaker Session1:00 PM
Break2:15 PM
Workshop2:30 PM
Guided Synthesis Discussion4:00 PM
Register for
SICSS-UDC
If you would like more information about the Summer Institute in Computational Social Science, you can sign up here.
All participants must register at the SICSS website.