Our research interests include topics such as the ethics of data-intensive computational methods; pedagogical models for data science education; disciplinary adaptations to the demands of data-intensive science; new epistemologies and social implications of data-intensive science; the cultural and institutional contexts for open science, open software and open data; tool building and scientific workflow; sociotechnical data science ecosystems; human-centered data science.