Application review

The NIJ Research Assistantship Program (RAP) is designed to provide highly qualified doctoral students with practical and applied research experience in criminal justice issues. NIJ provides funds to participating universities to pay salaries and other costs associated with research assistants who work on NIJ research activities.

This webinar reviews the opportunities that are currently available for the 2017-2018 academic year and will cover the application process, eligibility requirements and application deadlines.

Presenters include:

The criminal justice system encounters and supervises a large number of drug abusing persons. Punishment alone is a futile and ineffective response to the problem of drug abuse. Addiction is a chronic brain disease with a strong genetic component that in most instances requires treatment. Involvement in the criminal justice system provides a unique opportunity to treat drug abuse disorders and related health conditions, thereby improving public health and safety.

This webinar will inform the audience of the changes to three programs available for publicly funded forensic laboratories and introduce a new program for FY 2017. Changes to existing programs will be highlighted and presenters will discuss the background and goals of the solicitations, recommendations for successful applications, application expectations and requirements, the review process, and the application checklist. There will also be time for questions and answers at the end of the webinar.

Solicitations discussed include:

This webinar will provide details and guidance for potential applicants to help build knowledge and evidence related to strategies for effective prevention and intervention of domestic radicalization and violent extremism in the United States. The overall purpose of this program will be to reduce the likelihood that acts of violent extremism occur. This funding will support replication and evaluation of existing programs as well as development and evaluation of programs where none currently exist.