33 citations · 50 across the 9 of their papers we have counts for
10 papers
Clinical trial of an AI-augmented intervention for HIV prevention in youth experiencing homelessness
Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi +5
Youth experiencing homelessness (YEH) are subject to substantially greater risk of HIV infection, compounded both by their lack of access to stable housing and the disproportionate…
Preliminary Results from a Peer-Led, Social Network Intervention, Augmented by Artificial Intelligence to Prevent HIV among Youth Experiencing Homelessness
Eric Rice, Laura Onasch-Vera, Graham T. DiGuiseppi +5
Each year, there are nearly 4 million youth experiencing homelessness (YEH) in the United States with HIV prevalence ranging from 3 to 11.5%. Peer change agent (PCA) models for HIV…
Exploring Algorithmic Fairness in Robust Graph Covering Problems
Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti +4
Fueled by algorithmic advances, AI algorithms are increasingly being deployed in settings subject to unanticipated challenges with complex social effects. Motivated by real-world d…
Fair Influence Maximization: A Welfare Optimization Approach
Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju +5
Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information…
Robust Active Preference Elicitation
Phebe Vayanos, Yingxiao Ye, Duncan McElfresh +2
We study the problem of eliciting the preferences of a decision-maker through a moderate number of pairwise comparison queries to make them a high quality recommendation for a spec…
Group-Fairness in Influence Maximization
Alan Tsang, Bryan Wilder, Eric Rice +2
Influence maximization is a widely used model for information dissemination in social networks. Recent work has employed such interventions across a wide range of social problems,…