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The Conference on Neural Information Processing Systems, held in 2019 in Vancouver, Canada, is the largest in the discipline of artificial intelligence. Khari Johnson/VentureBeat
AI conferences use AI to assign papers to reviewers
Apr. 1, 2021 , 3:30 PM
Artificial intelligence (AI) researchers are hoping to use the tools of their discipline to solve a growing problem: how to identify and choose reviewers who can knowledgeably vet the rising flood of papers submitted to large computer science conferences.
In most scientific fields, journals act as the main venues of peer review and publication, and editors have time to assign papers to appropriate reviewers using professional judgment. But in computer science, finding reviewers is often by necessity a more rushed affair: Most manuscripts are submitted all at once for annual conferences, leaving some organizers only a week or so to assign thousands of papers to a pool of thousands of reviewers.
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Computational sustainability trailblazer honored
Carla P. Gomes, the Ronald and Antonia Nielsen Professor of Computing and Information Science, is the recipient of the 2021 Feigenbaum Prize, given by the Association for the Advancement of Artificial Intelligence (AAAI).
The prize is awarded biennially to recognize and encourage outstanding AI research advances made by using experimental methods of computer science. The “laboratories” for the experimental work are real-world domains, where the power of the research results are demonstrated.
“I was thrilled when I learned that I was the recipient of this prize,” said Gomes, who has a joint appointment with the Ann S. Bowers College of Computing and Information Science and the Dyson School of Applied Economics and Management. “This award directly captures my research philosophy: advancing foundational AI and computer science through experimental work and meaningful and impactful applications.”
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AI can help reduce risk of HIV in high-risk communities
How to get good information to the people who need it is a question that has long plagued public health officials.
One approach, known as peer change agents, is to recruit peer leaders to promote healthy behaviors and information about disease prevention within their social networks. This strategy has been used, with mixed results, in communities at high risk for HIV infection and transmission, specifically among young people experiencing homelessness.
Youth experiencing homelessness are 10 times more likely to test positive for HIV than young people who have access to stable housing. Social workers and public health officials have used the peer change agents strategy to promote behaviors such as condom usage and regular HIV testing within these communities, but success seems tied to choosing the right peer leaders who will have the largest impact within their communities.