NIJ Accepting Applications for Graduate Research Fellowships

NIJ is seeking proposals for innovative dissertation research in STEM fields. The Graduate Research Fellowship in Science, Technology, Engineering, and Mathematics (GRF-STEM) supports doctoral research relevant to ensuring public safety, preventing and controlling crime, and ensuring the fair and impartial administration of criminal justice in the United States.

New Organization for Forensic Nursing

In early 2018, a group of forensic nursing scholars and practitioners convened to establish the Academy of Forensic Nursing. The mission of the organization is to "link research to practice through the dissemination of scholarship, education, and service to those affected by and responding to trauma."

Improving Forensic DNA Efficiency

A report shows that a 2009 NIJ program, aimed to improve forensic DNA unit efficiency, delivered positive results. Utilizing a funding opportunity from the NIJ, three law enforcement agencies within Palm Beach County (Florida) established an interagency, centralized biological pre-screening laboratory for DNA evidence prior to submission to the county's forensic laboratory for DNA testing.

Center for Media Forensics Celebrates 10 Year Anniversary

In November, the National Center for Media Forensics celebrated its 10-year anniversary of becoming a formally-recognized entity of the University of Colorado Denver. In this time, the center has worked on Department of Justice and Department of Defense awards and contracts, hosted dozens of graduate students, hundreds of continuing education students, and published scores of research studies.

A New Standard Bullet

In September 2018, NIST announced the update of its standard bullet for forensic science use.

Analyzing Video Analytics

A recent grant report, titled "Studying the Impact of Video Analytics for Pre, Live and Post Event Analysis of Outcomes of Criminal Justice," looks at how the growing ubiquity of surveillance cameras—and the resulting glut of video evidence—might be addressed using computer vision analytics.

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