@article {1502506,
	title = {PSINET: Aiding HIV Prevention Amongst Homeless Youth by Planning Ahead },
	journal = {AI Magazine},
	year = {2015},
	abstract = {Homeless youth are prone to Human Immunodeficiency
Virus (HIV) due to their engagement in high risk behavior such as unprotected sex, sex under influence of
drugs, etc. Many non-profit agencies conduct interventions to educate and train a select group of homeless
youth about HIV prevention and treatment practices and
rely on word-of-mouth spread of information through
their social network. Previous work in strategic selection of intervention participants does not handle uncertainties in the social network{\textquoteright}s structure and evolving network state, potentially causing significant shortcomings in spread of information. Thus, we developed
PSINET, a decision support system to aid the agencies
in this task. PSINET includes the following key novelties: (i) it handles uncertainties in network structure
and evolving network state; (ii) it addresses these uncertainties by using POMDPs in influence maximization;
and (iii) it provides algorithmic advances to allow high
quality approximate solutions for such POMDPs. Simulations show that PSINET achieves \~{}60\% more information spread over the current state-of-the-art. PSINET
was developed in collaboration with My Friend{\textquoteright}s Place
(a drop-in agency serving homeless youth in Los Angeles) and is currently being reviewed by their officials.},
	author = {Amulya Yadav and Marcolino, Leandro Soriano and Eric Rice and Petering, Robin and Winetrobe, Hailey and Rhoades, Harmony and Tambe, Milind and Carmichael, Heather}
}
