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
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
A pervasive belief in software engineering is that some programmers are much better than others, and that their skills, abilities, and talents exert an outsized...Carnegie Mellon University From ACM Opinion | February 4, 2020