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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. |
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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. |
Panelists will present findings from two NIJ studies that examined the DNA backlog in law enforcement agencies and crime labs. Panelists will discuss research findings related to new and potential time- and cost-saving approaches.
This NIJ Conference Panel highlights findings from NIJ projects that evaluated strategies to enhance the supervision of offenders in the community. Researchers discuss the effectiveness of fair, swift and certain sanctions for high-risk probationers in the Hawaii HOPE program. Panelists also provide empirical evidence on the effectiveness of electronic monitoring — including the use of GPS tracking — for medium- and high-risk offenders on supervision and upon completion of their supervision sentence.
In a property crime, a victim's property is stolen or destroyed, without the use or threat of force against the victim. Property crimes include burglary and theft as well as vandalism and arson.
NIJ supports projects that strive to understand and reduce the occurrence and impact of property crimes.
Thank you for your interest in the NIJ 2014 Data Visualization Challenge: Using Data to Improve Justice. No winners were selected for this Challenge.
On this page find:
The Real-Time Crime Forecasting Challenge seeks to harness the advances in data science to address the challenges of crime and justice. It encourages data scientists across all scientific disciplines to foster innovation in forecasting methods.
Describes two types of crime (violent crime and property crime) and provides data on the rates and levels of various crimes, such as violent victimization by strangers and hate crimes.
Produces reports from 2004 to 2010 covering identity theft trends and consequences.
Expert Chat Webinar
February 2009
Moderator: Katharine Browning, Ph.D., Senior Social Science Analyst, National Institute of Justice
Panelists:
NIJ is seeking applications for funding research and evaluation projects that will improve our knowledge on how to identify, prevent, and reduce white collar crime in the United States. There are many types of offenses that may be classified as white collar crime. This solicitation focuses on three types of white collar crime: health care fraud, cyber-crime against individuals, and elder fraud.