Supporting early-stage researchers in addiction-related data science by providing funds for innovative projects applying advanced analytic methods to answer critical research questions.
National Institutes of Health has archived this opportunity.
Funder: National Institutes of Health
Due Dates: January 16, 2025 (Earliest Submission) | February 16, 2025 | June 16, 2025 | October 16, 2025 | February 16, 2026 | June 16, 2026 | July 29, 2026 (Expiration) | October 16, 2026 | February 16, 2027 | June 16, 2027
Funding Amounts: Up to $100,000/year in direct costs for up to 2 years; typical total award $200,000.
Summary: Supports small-scale research projects applying innovative data science to substance use and addiction questions, aiming to launch or expand research programs in this area.
This NIH opportunity supports investigators interested in applying advanced data science methods to address critical research questions related to substance use and/or substance use disorder (SUD). The program is designed both for newly independent data scientists and for established researchers incorporating novel data science techniques into addiction research for the first time. Projects should be small in scale, use existing datasets where possible, and serve as pilots or preliminary studies to inform larger future research. Applications must focus on substance use/SUD (not solely alcohol) and leverage methods such as machine learning, big data analytics, or other computational approaches. Cross-disciplinary collaborations and adherence to FAIR data principles are encouraged.