This area concerns itself with the intersection of data science and social issues, with two broad overlapping subgroups. One focuses on the impacts of data on society and approaches to mitigate negative impacts, and the other focuses on the use of data to study society. The first subgroup includes studies of issues like fairness, transparency, and accountability in data science, data ethics, data policy, social studies of data, the sustainability of data infrastructures, and applications of privacy-preserving approaches. The second group includes computational social science, digital humanities, policy evaluation, social networks and media, and socio-environmental science.