Mobile App Development: Suspect Tracking Databases for Police Departments; Analysis of Bias in Crime Prediction Algorithms

Sharma, Nikhil, School of Engineering and Applied Science, University of Virginia
Morrison, Briana, EN-Comp Science Dept, University of Virginia
Francisco, Pedro Augusto, EN-Engineering and Society, University of Virginia

My capstone research paper dives into my internship experience during the summer of 2021 and the mobile application I helped design. This mobile app was designed to help Florida county police departments keep track of ex-convicts and suspects in their jurisdictions. The human and social dimensions of this technology need to be carefully considered as any bias in the making of this technology could lead to the marginalization of certain communities and advantages to others. In my STS Research paper, I will analyze a similar technology, predictive policing, using the theory of technological politics. Using the theory of technological politics to analyze case studies of predictive policing will help understand the implications of bias in any technology used to help the police. Through my STS research I believe I will discover reasons to be wary of bias when designing technology to be used by the police. The implication of both my capstone project and STS research together shows the importance of unbiased design when working with technology that affects entire communities and the law.

BS (Bachelor of Science)
Bias in Predictive Policing, Technological Politics

School of Engineering and Applied Science
Bachelor of Science in Computer Science
Technical Advisor: Briana Morrison
STS Advisor: Pedro Francisco

Issued Date: