A New Data Science Journal from Harvard and MIT

The Harvard Data Science Initiative (HDSI) and the MIT Press just launched Harvard Data Science Review (HDSR),  a “premier research journal, a leading educational publication, and a popular magazine.”

The inaugural issue of HDSR includes contributions from internationally renowned scholars and educators, as well as leading researchers in industry and government, such as Christine Borgman (UCLA), Rodney Brooks (MIT), Emmanuel Candes (Stanford University), David Donoho (Stanford University), Luciano Floridi (Oxford/The Alan Turing Institute), Alan M. Garber (Harvard), Barbara J. Grosz (Harvard), Alfred Hero (University of Michigan), Sabina Leonelli (University of Exeter), Michael I. Jordan (University of California, Berkeley), Andrew Lo (MIT), Maja Matari? (University of Southern California), Brendan McCord (US Department of Defense), Nathan Sanders (Warner Media), Rebecca Willett (University of Chicago), and Jeannette Wing (Columbia University).

Sample articles in the first issue:

• A trio of articles on “Data Life Cycle” by Christine Borgman, UCLA, Sabina Leonelli University of Exeter, and Jeannette Wing, Columbia University
• “A Data in the Life: Authorship Attribution in Lennon-McCartney Songs” by Mark Glickman, Harvard University; Jason Brown, Dalhousie University; Ryan Song, Harvard University
• “Machine-learning with Statistical Imputation for Predicting Drug Approvals” by Andrew W. Lo, MIT; Kien Wei Siah, MIT; and Chi Heem Wong, MIT

Featured articles on AI:

• “Artificial Intelligence—The Revolution Hasn’t Happened Yet” by Michael I. Jordan, University of California, Berkeley, with 11 discussants from pioneering roboticists to leading AI researchers and Jordan’s rejoinder
• “A Unified Framework of Five Principles for AI in Society”­ by Luciano Floridi and Josh Cowls, University of Oxford and The Alan Turing Institute
• “Mining the Past: Artificial Intelligence” by Stephanie Dick, University of Pennsylvania