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
Cerf shares his views on the future of the Internet, the importance of trust and empathy, and the impact of new technologies like IoT and AI on the future of communications...ZDNet From ACM Opinion | July 13, 2020
Immigrants who came to America for study or employment are more likely to file a patent, publish a scientific paper, start a company, and earn higher wages than...The Times of India From ACM Opinion | June 30, 2020
The better design of future systems will help overcome current injustices, says Professor Ruha Benjamin of Princeton University.
CNET From ACM Opinion | June 26, 2020
Any piece of software should be able to provide the desired features, and when errors do occur, the software should handle them gracefully.
The Brooking Institution From ACM Opinion | June 25, 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
Educating girls to be the cybersecurity leaders of tomorrow will help combat criminals who prey on women and children.
Wired From ACM Opinion | June 12, 2020
Some longstanding opponents of legal and illegal immigration are using the high unemployment rates stemming from the coronavirus pandemic as an excuse to keep necessary...Citizens Against Government Waste From ACM Opinion | May 29, 2020
The S-shaped curve of technology adoption is a welcome recurrence in an otherwise chaotic adoption world.
Peter J. Denning, Ted G. Lewis From Communications of the ACM | June 1, 2020
Programming research has entered the Neuroage.
Janet Siegmund, Norman Peitek, André Brechmann, Chris Parnin, Sven Apel From Communications of the ACM | June 1, 2020
A computer scientist argues that the quest for fully automated robots is misguided, perhaps even dangerous. His decades of warnings are gaining more attention.
...The New York Times From ACM Opinion | May 22, 2020
The potential dangers of artificial intelligence are great enough to required great care about how powerful we allow it to become.
Scientific American From ACM Opinion | May 4, 2020
Technical training today should not be solely in the business of making better coders but of making better people who will be able to cultivate the future.
Scientific American From ACM Opinion | April 2, 2020
Seeking to improve access to conferences and provide support for attendees with children.
Audrey Girouard, Jon E. Froehlich, Regan L. Mandryk, Mark Hancock From Communications of the ACM | April 1, 2020