The Duke Funding Alert newsletter, published every Monday, provides information on all new and updated grants and fellowships added to the database during the prior week. This listserv is restricted to members of the Duke community.
Application of Artificial Intelligence and Machine Learning for Advancing Environmental Health Sciences (R41, R43 Clinical Trial Not Allowed)
This Funding Opportunity Announcement (FOA) solicits Phase I (R41) STTR grant applications from small business concerns (SBCs) to develop promising methodologies using Artificial Intelligence (AI) and Machine Learning (ML) approaches to advance environmental health research and decisions. When further developed and validated, these methodologies or approaches should improve the accuracy of toxicity prediction, help in prioritizing chemicals for more relevant or targeted testing, identify and/or fill data or knowledge gaps in toxicity assessment, and promote more comprehensive understanding of human exposure effects, susceptibility and adverse health outcomes.
Companion FOA: RFA-ES-21-002 - Application of Artificial Intelligence and Machine Learning for Advancing Environmental Health Sciences (R43 Clinical Trial Not Allowed)
- Letter of Intent Due Date(s): February 28, 2021
- Application Due Date(s): March 29, 2021
RFA-ES-21-003 Expiration Date March 30, 2021
Only United States small business concerns (SBCs) are eligible to submit applications for this opportunity.
Total funding support (direct costs, indirect costs, fee) normally may not exceed $256,580 for Phase I awards. In all cases, applicants should propose a budget that is reasonable and appropriate for completion of the research project. Durations up to 1 year for Phase I may be requested.