Attendees of the 2018 MSDSE Annual Summit pose for a group shot. Photo, Robin Brooks, eScience Institute

Although data-driven research is already accelerating scientific discovery, substantial systemic challenges in academia need to be overcome to maximize impact and create supportive environments for researchers using and developing data-intensive methodologies.

The Moore-Sloan Data Science Environments (MSDSE) seek to enhance data-driven discovery by supporting cross-disciplinary academic data scientists at research institutions. This work is organized around several challenges, which are used as themes to effectively focus our efforts to advance the future of academic data science:

The Moore and Sloan Foundations have funded three Data Science Environments to work toward this goal:

UW eScience Institute

UC Berkeley Institute for Data Science

NYU Center for Data Science

This collaborative work has produced the white paper “Creating institutional change in data science.”