407 – Linked Data Visualizations, Machine Learning and Evidence-Based Policy Making
Crime in America: An Application of Machine Learning in Criminology
Giang Nguyen
International Strategy and Reconciliation Foundation
Sophie Lee
ISR Foundation Center for Interdisciplinary Research
Allison Conners
University of Toronto
Asaph Young Chun
U.S. Census Bureau
The United States has a higher percentage of its population incarcerated than any other country in the world. While there are many different angles from which this issue can be studied, the aim of this paper is to explore the societal factors which contribute to one’s likelihood of committing a crime and the consequences that this criminal record will have on one’s life. We intend to establish the correlates of recidivism – the tendency of a criminal to commit another crime – using prediction, and regression models.