The Summer Institute in Computational Social Science (SICSS) is an annual, global institute bringing together PhD students, postdoctoral researchers, and early-career faculty interested in computational social science. This is for both social scientists (broadly conceived) and data scientists (broadly conceived), with a particular emphasis on equipping social scientists who identify as “data science curious”. Topics covered include web automation and extraction, predictive algorithms, causal inference with observational data, digital methods for data collection, machine learning, survey experiments, and text analysis. This Institute is hosted at the UCLA California Center for Population Research (CCPR) and sponsored by CCPR and the UCLA Division of Social Sciences.