Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences | Apply Online

Opportunity Summary:

The Joint DMS/NIGMS Initiative to Support Research at the Interface of the Biological and Mathematical Sciences is a collaborative funding opportunity led by the National Science Foundation (NSF), specifically its Division of Mathematical Sciences (DMS) within the Directorate for Mathematical and Physical Sciences, together with the National Institutes of Health (NIH), through the National Institute of General Medical Sciences (NIGMS). The central purpose of the program is to fund research in mathematics and statistics that directly tackles important questions arising in the biological and biomedical sciences. In practical terms, the opportunity is aimed at projects where modern mathematical or statistical ideas are not just supportive tools, but are central to making progress on life science problems, and where biological insight helps shape new mathematical directions as well.

A key theme of the announcement is urgency and priority: both NSF and NIH state a clear need to accelerate work at the boundary between the mathematical sciences and the life sciences. The competition is structured to strengthen the research ecosystem at this interface by encouraging the formation of new interdisciplinary collaborations while also providing support for established teams that already work across these fields. This makes it relevant both for investigators who are building an interface program for the first time and for groups with a track record who want to push their collaboration to the next level through new theory, improved statistical methodology, and biologically grounded modeling approaches.

From a funding and logistics standpoint, this is a discretionary grant opportunity in the category of science and technology and other research and development. The expected number of awards is approximately 20, with an estimated total program funding level of about $5,000,000. Individual awards can range from a minimum of $1 up to a ceiling of $2,000,000, which signals that the program can accommodate a wide range of project sizes, from small exploratory efforts to larger, more comprehensive research programs. There is no cost sharing or matching requirement, which reduces institutional barriers and allows applicants to focus on developing strong scientific and collaborative plans rather than assembling non-federal matching funds.

Eligibility is described as unrestricted, meaning it is broadly open to any type of entity, subject to any clarifications contained in the official announcement. The program is associated with two CFDA numbers that reflect the joint nature of the effort: 47.049 (Mathematical and Physical Sciences) and 93.859 (Biomedical Research and Research Training). This dual alignment underscores that proposals should genuinely operate in the space where mathematical and statistical innovation and biological or biomedical significance reinforce each other, rather than being purely math-oriented with minimal biological grounding or purely biological projects with routine quantitative analysis.

In terms of timing, the opportunity was posted on June 29, 2010, and it lists full proposal deadline dates of October 1, 2010 and October 3, 2011, with a current closing date of October 3, 2011. Applicants were directed to consult NSF Publication 10-579 for the complete program guidance and submission requirements. For access and technical issues, the announcement provides contact directions through NSF Grants.gov support (grantsgovsupport@nsf.gov), indicating that proposals were intended to be handled through standard federal electronic submission channels.

Overall, this initiative is best understood as a targeted investment by NSF and NIH to grow and sustain research that meaningfully integrates mathematical sciences with biological and biomedical discovery, emphasizing collaboration, cross-disciplinary innovation, and the development of quantitative approaches that can address complex life science questions.

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