What We Do:
The NIDA data science workgroup facilitates the general coordination of data science activities across NIDA and provides a forum for all NIDA staff to exchange ideas, receive updates, and develop data science research initiatives. Our mission is to inform NIDA’s Strategic Plan in data science and to develop NIDA’s portfolio of data science research relevant to substance use disorders and addiction.
Major Goals:
- Coordinate data science activities across NIDA
- Provide a forum for all NIDA staff to exchange ideas, receive updates, and develop data science research initiatives
- Support avenues of data science research via innovative program announcements, requests for applications, changes in policy, and knowledge dissemination
- Facilitate communication of NIH policies related to data science across NIDA
- Sponsor meetings, seminars, and speakers relevant to data science
Relevant Funding Opportunities:
- See the ODSS Funding Opportunities list for NIDA data science opportunities.
Contacts:
Membership:
- Center for Clinical Trials Network (CCTN):
- Sabeeh Baig
- Landhing Moran
- Division of Epidemiology, Services and Prevention Research (DESPR):
- Tamara Haegerich
- Amy Goldstein
- Courte Van Voorhees
- Division of Extramural Research (DER):
- Elizabeth A. Hoffman
- Jeanette Marketon
- Division of Neuroscience and Behavior (DNB):
- Amy Lossie
- Christie Espinoza
- Christina Hatch
- Jessica Mollick
- Roger Little
- Sam Ananthan
- Shang-Yi Tsai
- Sunila Nair
- Janani Prabhakar
- Kiran Vemuri
- Division of Therapeutics and Medical Consequences (DTMC):
- Evan Herrmann
- Jana Drgonova
- Rik Kline
- Information Resource Management Branch (IRMB):
- Gregg Friedman
- Chris Squiers
- Berhane Yitbarek
- Intramural Research Program (IRP):
- Brenda Curtis
- Jia-Ling Lin
- Yihong Yang
- David Epstein
- Amy Janes
- Office of the NIDA Director (OD):
- Wilson Compton
- Office of Translational Initiatives and Program Innovations (OTIPI):
- Tam Nguyen