The MIT Press and the Harvard Data Science Initiative (HDSI) have announced the launch of the Harvard Data Science Review (HDSR). The open-access journal, published by MIT Press and hosted online via the multimedia platform PubPub, an initiative of the MIT Knowledge Futures group, will feature leading global thinkers in the burgeoning field of data science, making research, educational resources, and commentary accessible to academics, professionals, and the interested public. With demand for data scientists booming, HDSR will provide a centralised, authoritative, and peer-reviewed publishing community to service the growing profession.
The first issue features articles on topics ranging from authorship attribution of John Lennon-Paul McCartney songs to machine learning models for predicting drug approvals to artificial intelligence (AI). Future content will have a similar range of general interest, academic, and professional content intended to foster dialogue among researchers, educators, and practitioners about data science research, practice, literacy, and workforce development. HDSR will prioritise quality over quantity, with a primary emphasis on substance and readability, attracting readers via inspiring, informative, and intriguing papers, essays, stories, interviews, debates, guest columns, and data science news. By doing so, HDSR intends to help define and shape the profession as a scientifically rigorous and globally impactful multidisciplinary field.
Combining features of a premier research journal, a leading educational publication, and a popular magazine, HDSR will leverage digital technologies and advances to facilitate author-reader interactions globally and learning across various media.
The Harvard Data Science Review will serve as a hub for high-quality work in the growing field of data science. It will feature articles that provide expert overviews of complex ideas and topics from leading thinkers with direct applications for teaching, research, business, government, and more. It will highlight content in the form of commentaries, overviews, and debates intended for a wide readership; fundamental philosophical, theoretical, and methodological research; innovations and advances in learning, teaching, and communicating data science; and short communications and letters to the editor.
The digital edition is freely available on the PubPub platform to readers around the globe.
The inaugural issue of HDSR will publish contributions from internationally renowned scholars and educators, as well as leading researchers in industry and government, such as Christine Borgman (University of California at Los Angeles), 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 at Berkeley), Andrew Lo (MIT), Maja Matarić (University of Southern California), Brendan McCord (U.S. Department of Defense), Nathan Sanders (WarnerMedia), Rebecca Willett (University of Chicago), and Jeannette Wing (Columbia University).
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