Applications are now being accepted for the 2022 Summer Institute in Computational Social Science (SICSS)-Howard/Mathematica program, which will be held from June 18 to July 1, 2022, at Howard University.
Howard University and Mathematica partnered in 2021 to launch the first SICSS program at a historically Black college or university and bring together graduate students, postdoctoral researchers, and early career faculty members who are interested in applying innovative social science research to real-world data to address antiblack racism and inequity.
“As a result of issues such as systemic racism and the disproportionate effects of the COVID-19 pandemic, communities of color face inequities in health, education, and economic stability. We are delighted to share our expertise in data analytics and public policy to support students, postdoctoral researchers, and faculty in developing innovative solutions to address these complex challenges,” said Akira Bell, senior vice president and chief information officer at Mathematica.
The two-week intensive, interactive, and instructional program includes lectures, group problem sets, and participant-led research projects. Outside speakers who conduct and use computational social science research in academia, industry, government, and other settings add real-world insights to the program. Together, participants explore topics such as text as data, website scraping, digital field experiments, machine learning, and ethics.
Applications are due by 11:59 pm EST on March 31, 2022. To apply and learn more about the program, please visit https://sicss.io/2022/howard-mathematica/. Follow SICSS-Howard/Mathematica on Facebook, Twitter and join their email list for additional updates.
Prospective participants are also encouraged to read the Sage Publishing blog series, “The Future of Computational Social Science is Black,” which documents the experiences and achievements of the first SICSS-Howard/Mathematica cohort.
Due to the COVID-19 pandemic, the event format (in-person, hybrid, or online) will be determined closer to the event date.
Naniette H. Coleman