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Below are a series of reports/white papers with information on Moore-Sloan Data Science Environments, the university partners, and the various thematic areas:
- Creating Institutional Change in Data Science
- Evaluation of the MSDSE
- White Papers and Reports from our Community
How do we create and sustain long-term institutional structures which support the new generation of scientists whose research depends crucially on the analysis of massive, noisy, and/or complex data and whose work may require substantial curation and/or development efforts? What about those scientists who focus entirely on building next-generation tools that others ultimately use to derive new science? Read about what the Moore-Sloan Data Science Environments are exploring for their campuses:
In 2015, the Sloan and Moore Foundations contracted with Abt Associates to conduct a 3-year evaluation of the MSDSE program, which concluded in Fall 2018. The study drew on several sources: review of MSDSE reports, websites, and policy papers; three site visits to each university; 132 interviews and two on-line surveys of participants and non-participants; and observations at three all hands summits. In addition, Abt Associates examined the broader data science landscape by interviewing the leaders of 17 entities similar to MSDSEs about their efforts.
See also:
- The University of Washington's eScience Institute "Reflections on five years of the Moore-Sloan Data Science Environment"
- New York University's Center for Data Science, MSDSE News
- Updates from University of California, Berkeley Institute for Data Science -- link coming soon
Our growing community has learned a lot over the last 6 years. Below is a collections of papers and reports on some of the best practices and lessons learned from the MSDSEs and beyond.
- New Collaboration for New Education: Libraries in the Moore-Sloan Data Science Environments
- Career Paths and Prospects in Academic Data Science: Report of the Moore-Sloan Data Science Environments Survey
- Building an Urban Data Science Summer Program at the University of Washington eScience Institute
- Hack weeks as a model for data science education and collaboration
- The BIDS Best Practices in Data Science Series
- BIDS 2018-2019 Annual Report