33 citations · 36 across the 5 of their papers we have counts for
6 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…
Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities
Amulya Yadav
This thesis proposal makes the following technical contributions: (i) we provide a definition of the Dynamic Influence Maximization Under Uncertainty (or DIME) problem, which model…
Artificial Intelligence for Low-Resource Communities: Influence Maximization in an Uncertain World
Amulya Yadav
The potential of Artificial Intelligence (AI) to tackle challenging problems that afflict society is enormous, particularly in the areas of healthcare, conservation and public safe…
Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks
Lily Hu, Bryan Wilder, Amulya Yadav +2
While reigning models of diffusion have privileged the structure of a given social network as the key to informational exchange, real human interactions do not appear to take place…