Street crimes

This webinar will offer a brief overview of the National Institute of Justice and the data science needs of the criminal justice field. In addition, it will provide details about the Crime Forecasting Challenge, including who can submit, how to retrieve datasets, and the submission categories. The overall goal of the Crime Forecasting Challenge is to harness recent advances in data science to drive innovation in algorithms that advance place-based crime forecasting.

The subprime mortgage industry collapse has led to a record number of foreclosures. In this environment, the interest mortgage fraud has risen, along with questions of how fraud contributed to the crisis. Henry Pontell and Sally Simpson discuss what they have learned about investigating and prosecuting white-collar criminals, the role of corporate ethics in America, and what policymakers and lawyers can learn from evidence of fraud.

How do we decide how to allocate criminal justice resources in a way that minimizes the social harms from both crime and policy efforts to control crime? How, for that matter, do we decide how much to spend on the criminal justice system and crime control generally, versus other pressing needs? These questions are at the heart of benefit-cost analysis.

Based on the research findings, law enforcement officers appear to commit crimes at a much lower rate than the general public. However, in some cases, at times due to the stressors of the job and frequent exposure to trauma and violence, officers engage in misconduct or criminal behavior.