NSF/NLM Joint Solicitation
Joint DMS/NLM Initiative on Generalizable Data Science Methods for Biomedical Research (NSF 19-500)
The National Library of Medicine (NLM) and the Division of Mathematical Sciences in the Directorate for Mathematical and Physical Sciences (DMS) at the National Science Foundation (NSF) recognize the need to support research to develop innovative and transformative mathematical and statistical approaches to address important data-driven biomedical and health challenges. The goal of this interagency program is the development of generalizable frameworks combining first principles, science-driven models of structural, spatial and temporal behaviors with innovative analytic, mathematical, computational, and statistical approaches that can portray a fuller, more nuanced picture of a person's health or the underlying processes.
Collaborative efforts that bring together researchers from the biomedical/health and the mathematical/statistical sciences communities are a requirement for this program and must be convincingly demonstrated in the proposal. Of particular interest are new collaborative efforts involving mathematicians, statisticians, biomedical scientists, and clinicians aimed at blending first principles, science-based models with innovative data-driven and machine learning approaches to solve important biomedical problems. While the research may be motivated by a specific application or dataset, the development of methods that are generalizable and broadly applicable is preferred and encouraged.
Application submission is through the National Science Foundation via solicitation NSF 19-500 (https://www.nsf.gov/pubs/2019/nsf19500/nsf19500.htm?org=NSF). Specific information concerning the application and review process is available at NSF 19-500. For those applications that are being considered for potential funding by NLM, the PDs/PIs will be required to submit their applications in an NIH-approved format. PDs/PIs invited to submit to NIH will receive further information on submission procedures. An applicant will not be allowed to increase the proposed total budget or change the scientific content of the application in the submission to the NIH. The results of the first level scientific review will be presented to NLM Board of Regents for the second level of review. NLM will make final funding determinations and issue Notices of Awards to successful applicants.
NLM and DMS anticipate making 8 to 10 awards totaling up to $4 million, in fiscal year 2019. It is expected that each award will be between $200,000 to $300,000 (total costs) per year with durations of up to 3 years.
Jane Ye, Ph.D.
National Library of Medicine
January 16, 2019