Crime type
Pattern Recognition in Large Police Crime Data Sets
It's Phishing Season
TECHBeat, June 2018
Identifying Law Enforcement Needs for Conducting Criminal Investigations Involving Evidence on the Dark Web
Case Deconstruction of Criminal Investigative Failures
Violence Against American Indian and Alaska Native Women and Men - 2010 Findings from the National Intimate Partner and Sexual Violence Survey
This seminar provides the first set of estimates from a national large-scale survey of violence against women and men who identified themselves as American Indian or Alaska Native using detailed behaviorally specific questions on psychological aggression, coercive control and entrapment, physical violence, stalking, and sexual violence. These results are expected to raise awareness and understanding of violence experienced by American Indian and Alaska Native people.
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Real-Time Crime Forecasting Challenge Webinar
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.
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White Collar Crime
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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Wrongful Convictions: The Latest Scientific Research & Implications for Law Enforcement
What does science tell us about case factors that can lead to a wrongful conviction? Dr. Jon Gould of American University will discuss the findings of the first large-scale empirical study that has identified ten statistically significant factors that distinguish a wrongful conviction from a "near miss." (A "near miss" is a case in which an innocent defendant was acquitted or had charges dismissed before trial). Following Dr. Gould's presentation, Mr. John R.
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