The following excerpt is from “GitHub Releases New Tools to Report Vulnerabilities,” an article by Rina Diane Caballar published on June 21, 2019 in IEEE Spectrum, the magazine and website of the Institute of Electrical and Electronics Engineers.
The article reports recent research conducted by Mei Nagappan, an assistant professor in the Cheriton School of Computer Science, and his colleagues on the lack of security vulnerability reporting processes in open-source software projects.
The following excerpt is from “The quest for high-quality data: Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge,” a blog post written by Cheriton School of Computer Science Professor Ihab Ilyas and Ben Lorica, Chief Data Scientist at O’Reilly Media.
Researchers at the Cheriton School of Computer Science have found that individuals may be more motivated to do work for their favourite charity than for money.
In a study reviewing the efficacy of a new online work-sharing platform designed to put money into the hands of charities, the researchers discovered that people providing their skills and labour toward a specific task tended to do a better job if they knew their favourite charity rather than themselves would be paid for it.
The key to people trusting and co-operating with artificially intelligent agents lies in their ability to display human-like emotions, according to a new study by Postdoctoral Fellow Moojan Ghafurian, Master’s candidate Neil Budnarain and Professor Jesse Hoey at the Cheriton School of Computer Science.
Cheriton School of Computer Science Professor Jesse Hoey has teamed up with Professor Robert Freeland, a sociologist at Wake Forest University, to conduct novel research at the intersection of computer science and social psychology.