Data scientists face challenges spanning academic and non-academic institutions.
Christine L. Borgman, Michael J. Scroggins, Irene V. Pasquetto, R. Stuart Geiger, Bernadette M. Boscoe, Peter T. Darch, Charlotte Cabasse-Mazel, Cheryl Thompson, Milena S. Golshan From Communications of the ACM | August 1, 2020
Toward a more equitable distribution of the benefits of technological change.
Kathleen H. Pine, Margaret M. Hinrichs, Jieshu Wang, Dana Lewis, Erik Johnston From Communications of the ACM | July 1, 2020
Big data and artificial intelligence expert Jim Kyung-Soo Liew is spearheading a mapping effort conducted by software engineers and student volunteers from the...Johns Hopkins University From ACM Opinion | April 30, 2020
The notion of scalable operating systems led Mendel Rosenblum to virtual machines, which have revolutionized datacenters and enabled modern cloud computing.
Leah Hoffmann From Communications of the ACM | April 1, 2020
Joe Steinmeyer, a principal lecturer in the Department of Electrical Engineering and Computer Science at MIT, has taught more than 400 students in various Office...MIT Office of Engineering Outreach Programs From ACM Opinion | March 5, 2020
Claire Le Goues, an associate professor at Carnegie Mellon University, describes the similarities of high school debate and computer science, why it's fun to take...Women@SCS From ACM Opinion | March 4, 2020
The United States needs to wrest the high-tech initiative from China and re-establish American dominance in telecommunications, computation, artificial intelligence...PJ Media From ACM Opinion | February 18, 2020