A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV among Youth Experiencing Homelessness

Citation:

Eric Rice, Bryan Wilder, Laura Onasch-Vera, Graham Diguiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Sung-Jae Lee, and Milind Tambe. 6/21/2021. “A Peer-Led, Artificial Intelligence-Augmented Social Network Intervention to Prevent HIV among Youth Experiencing Homelessness.” to appear in the Journal of Acquired Immune Deficiency Syndrome (JAIDS).

Abstract:

Youth experiencing homelessness (YEH) are at elevated risk for HIV/AIDS and disproportionately identify as racial, ethnic, sexual, and gender minorities. We developed a new peer change agent (PCA) HIV prevention intervention with three arms: (1) an arm using an Artificial Intelligence (AI) planning algorithm to select PCAs; (2) a popularity arm, the standard PCA approach, operationalized as highest degree centrality (DC); and (3) an observation-only comparison group.
Last updated on 08/16/2021