How to Encourage Data-Driven Discovery

Ed Lazowska, Rich Bonneau, Juliana Freire, Mik Laver, Henry Brady, Cathryn Carson, David Culler, Jonathan Dugan, Marsha Fenner, Saul Perlmutter, Magda Balazinska, Micaela Parker and Sarah Stone

Chronicle of Higher Education
March 4, 2018

Together with our colleagues at New York University and the University of Washington, BIDS has published a paper intended for academic leaders who seek to accelerate data-intensive discovery and data science education on their campuses. It is based on our experiences as the three founding institutions of the Moore-Sloan Data Science Environments, a collaborative experiment intended to transform the process of data-driven discovery nationwide as well as the institutional environments in which this discovery takes place. In the article, we describe key elements we believe have contributed to our successes as well as some challenges we have encountered along the way.

Creating Institutional Change in Data Science: The Moore-Sloan Data Science Environments at New York University, UC Berkeley, and the University of Washington 
referenced in How to Encourage Data-Driven Discovery 
March 4, 2018 | Ed Lazowska, et al | Chronicle of Higher Education



Featured Fellows

Henry Brady

Goldman School of Public Policy
Co-I for Moore/Sloan Data Science Environments

Cathryn Carson

Division of Social Sciences & History
Co-I for Moore/Sloan Data Science Environments

David Culler

Electrical Engineering & Computer Sciences
Co-I for Moore/Sloan Data Science Environments

Jonathan Dugan

Chief Research Officer

Marsha Fenner

Communications/Program Manager