TRACC program aims to increase scientists from minority groups conducting addiction research

Published on September 12, 2013 at 2:46 AM · No Comments

Aiming to increase the number of scientists from underrepresented minority groups conducting addiction research, the National Institute on Drug Abuse (NIDA) has awarded $1.5 million to support a new training program at The City College of New York.

The program has been named TRACC (Translational Research Training in Addictions for Racial/Ethnic Minorities at City College of New York (CCNY) and Columbia University Medical Center (CUMC). TRACC will capitalize on CCNY's exceptional pool of diverse students, its renowned multidisciplinary faculty and a novel collaboration with substance use researchers at CUMC.

"We want to make City College known as a place for developing top-tier addictions researchers," said Dr. Denise Hien, CCNY professor of psychology and principal investigator on the R25 grant that will fund TRACC. "Students in the program will get the kind of training in translational addiction studies that will prepare them for future research careers in behavioral and biomedical sciences."

TRACC will train 20 researchers over the next five years. Trainees will be selected from a pool of faculty-nominated CCNY graduate psychology students plus students in the Sophie Davis School of Biomedical Education's BS/MD program. An initial cohort of four is slated to begin training in the spring of 2014.

In addition to mentoring, TRACC participants will receive intensive training in interdisciplinary research skills including grant writing, neuroscience and MRI-imaging. They will also organize an annual research conference, participate in bi-monthly seminars and attend a two-week summer intensive institute.

TRACC will underwrite trainees' travel costs to professional conferences and make available research funding through a grant application process. In addition, trainees will have access to a rich set of research tools such as databases of successful grant applications, statistical software and data and journal articles.

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