Homelessness is a humanitarian challenge affecting an estimated 1.6 billion people
worldwide. In the face of rising homeless populations in developed nations and a strain on …

The covert nature of sex trafficking provides a significant barrier to generating large-scale,
data-driven insights to inform law enforcement, policy and social work. We leverage massive …

Operations in areas of importance to society are frequently modeled as mixed-integer linear
programming (MILP) problems. While MILP problems suffer from combinatorial complexity …

The New York City (NYC) youth shelter system provides housing, counseling, and other
support services to runaway and homeless youth and young adults (RHY). These resources …

Decision making in the public sector centers on delivering resources and services for the
common good, emphasizing an expansive set of objectives such as equity and efficiency …

Runaway and homeless youth (RHY) are a group of youth and young adults who are at high
risk of being exploited through human trafficking. Although access to housing and support …

Abstract Data Science for Social Good continues to gain attention in research and the
media. Data Science and Analytics can be used in many ways to aid vulnerable sectors of …

In typical applications of facility location problems, the location of demand is assumed to be
an input to the problem. The demand may be fixed or dynamic, but ultimately outside the …

Decision making in the public sector centers on delivering resources and services for the
common good, emphasizing an expansive set of objectives such as equity and efficiency …

The goal of this work is to develop algorithmic approaches that tackle complex social
problems. All three projects included in the dissertation start with large-scale messy datasets …