Funding Opportunity Purpose

The Division of Mathematical Sciences (DMS) in the Directorate for Mathematical and Physical Sciences (MPS) at the National Science Foundation (NSF) and the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health (NIH) plan to support research in mathematics and statistics on questions in the biological and biomedical sciences. Both agencies recognize the need for promoting research at the interface between the mathematical sciences and the life sciences. This program is designed to encourage new collaborations, as well as to support existing ones

Synthetic Biology for Engineering Applications (R01)

The purpose of the announcement is to invite applications from applicants who have an interest in performing high impact, cutting-edge scientific and computing activities necessary to establish an NIH Data Commons. The goal of the NIH Data Commons is to accelerate new biomedical discoveries by providing a cloud-based platform where investigators can store, share, access, and compute on digital objects (data, software, etc.) generated from biomedical research and perform novel scientific research including hypothesis generation, discovery, and validation.

The purpose of this funding opportunity announcement (FOA) is to support innovative research that will develop and apply computational tools and methods for modeling interactions between infectious agents and their hosts, disease spread, prediction systems and response strategies. The models should be useful to researchers, policymakers, or public health workers who want to better understand and respond to infectious diseases.

BD2K FOA: RFA-LM-17-001 “Big Data to Knowledge (BD2K) Enhancing the Efficiency and Effectiveness of Digital Curation for Biomedical Big Data (U01)”. NIH wishes to accelerate the availability and re-use of biomedical research data by transforming the processes used to curate digital data assets that are the product of biomedical research.  Applications due December 15, 2016. Please share this opportunity with your interested scientific communities.

• RFI: Metrics to Assess Value of Biomedical Digital Repositories, Notice Number: NOT-OD-16-133.
• NIH Request for Information (RFI): NOT-OD-16-133 “Metrics to Assess Value of Biomedical Digital Repositories”.

Synopsis of Program:

This FOA solicits new theories, computational models, and statistical methods to derive understanding of brain function from complex neuroscience data.  Approaches could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting features in complex brain data.  It is expected that the approac