To design effective vaccine policies, policymakers need detailed data about who has been
vaccinated, who is holding out, and why. However, existing data in the US are insufficient …

Decision-makers often observe the occurrence of events through a reporting process. City
governments, for example, rely on resident reports to find and then resolve urban …

Machine learning models are often trained to predict the outcome resulting from a human
decision. For example, if a doctor decides to test a patient for disease, will the patient test …

Radios are essential for the operations of modern police departments, and they function as
both a collaborative communication technology and a sociotechnical system. However, little …

This paper presents a critical, qualitative study of the social role of algorithmic bias in the
context of the Chicago crime prediction algorithm, a predictive policing tool that forecasts …

The use of Computer Vision, through a Perceptive Visual Urban Analytics (VUA) paradigm,
has been proposed as a way for municipalities to more easily monitor their cities. However …

The rapid advances in Generative AI tools have produced both excitement and worry about
how AI will impact academic writing. However, little is known about what norms are …

Instant buyers (iBuyers)—companies that buy and sell homes based on automated valuation
models (AVMs)—now hold more than 5% market share in some USA cities. In this work, we …

To design effective vaccine policies, policymakers need detailed data about who has been
vaccinated, who is holding out, and why. However, existing data in the US are insufficient …

Amidst the replication crisis, it is increasingly clear that we need to understand contextual
factors that drive participant behavior, because those factors influence the applicability of …