June 18 to July 1, 2022 | Howard University | Virtual event
From June 18 to July 1, 2022, Howard University and Mathematica will sponsor the Summer Institute in Computational Social Science, to be held at Howard University. The purpose of the Summer Institute is to bring together graduate students, postdoctoral researchers, and beginning faculty interested in computational social science. The Summer Institute is for both social scientists (broadly conceived) and data scientists (broadly conceived). There is no cost to participate in SICSS-Howard/Mathematica.
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, such as academia, industry, and government. Topics covered include text as data, website scraping, digital field experiments, machine learning, and ethics. There will be ample opportunities for students 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.
Participation is restricted to Ph.D. students, postdoctoral researchers, and untenured faculty within 7 years of their Ph.D. We welcomed applicants from all backgrounds and fields of study, especially applicants from groups currently under-represented in computational social science. About thirty participants were invited, and participants were expected to fully attend and participate in the entire program.
SICSS-Howard/Mathematica is groundbreaking for a number of reasons: 1) we were the first (2021) and continue to be the only Summer Institute held at a Historically Black College or University (HBCU), 2) we have the benefit of a deeply invested partner, Mathematica, and finally 3) we have a topical focus on antiblack racism and inequity.
Application materials are due 11:59pm EST on
March 31st April 17th May 1st.
Because of the COVID-19 pandemic, all events took place online.