The widespread adoption of Artificial Intelligence (AI) models by various industries in recent
years have made Explainable Artificial Intelligence (XAI) an active field of research. This …

Objective The study tests a community-and data-driven approach to homelessness
prevention. Federal policies call for efficient and equitable local responses to homelessness …

Street-level bureaucrats interact directly with people on behalf of government agencies to
perform a wide range of functions, including, for example, administering social services and …

Background Inadequate housing contributes to the risk of family separation in nearly one-
quarter of child maltreatment investigations. Child welfare struggles to identify and address …

As automated decision making and decision assistance systems become common in
everyday life, research on the prevention or mitigation of potential harms that arise from …

Group fairness definitions such as Demographic Parity and Equal Opportunity make
assumptions about the underlying decision-problem that restrict them to classification …

Submodular function maximization is a fundamental combinatorial optimization problem with
plenty of applications--including data summarization, influence maximization, and …

We study critical systems that allocate scarce resources to satisfy basic needs, such as
homeless services that provide housing. These systems often support communities …

The potential harms of algorithmic decisions have ignited algorithmic fairness as a central
topic in computer science. One of the fundamental problems in computer science is Set …

Extreme weather events and fast-paced adoption of green energy technologies have led to
new challenges in demand-side management, maintaining grid reliability, and fulfilling …