Important information about NSF’s implementation of the revised 2 CFR

NSF Financial Assistance awards (grants and cooperative agreements) made on or after October 1, 2024, will be subject to the applicable set of award conditions, dated October 1, 2024, available on the NSF website. These terms and conditions are consistent with the revised guidance specified in the OMB Guidance for Federal Financial Assistance published in the Federal Register on April 22, 2024.

Important information for proposers

All proposals must be submitted in accordance with the requirements specified in this funding opportunity and in the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted. It is the responsibility of the proposer to ensure that the proposal meets these requirements. Submitting a proposal prior to a specified deadline does not negate this requirement.

Dear Colleague Letter

Announcing a New Track in the Postdoctoral Research Fellowships in Biology (PRFB) Program: Biological Research, Understanding and Solutions for a Resilient Planet

Announces upcoming track in the PRFB program that supports postdoctoral fellows using large data, such as those from the National Ecological Observation Network, and innovative approaches, including AI, machine learning and modeling.

Announces upcoming track in the PRFB program that supports postdoctoral fellows using large data, such as those from the National Ecological Observation Network, and innovative approaches, including AI, machine learning and modeling.

Dear Colleagues:

With this Dear Colleague Letter (DCL) the Directorate for Biological Sciences (BIO) announces plans for modifying one of the competitive areas in the Postdoctoral Research Fellowships in Biology (PRFB) Program solicitation. This would be a replacement for Competitive Area 2: Integrative Research Investigating the Rules of Life Governing Interactions Between Genomes, Environment and Phenotypes that will have a final deadline on November 7, 2024. The new competitive area will support Fellows that leverage large data, such as those from the National Ecological Observatory Network (NEON), and innovative approaches, including Artificial Intelligence (AI), Machine Learning (ML), and modeling to advance biological research and solutions for a Resilient Planet. The first deadline for proposals to be submitted to this new competitive area will be sometime in the Fall or Winter of 2025. This DCL is being released early to allow future proposers sufficient time to explore project ideas with prospective mentors.

The United States and the world are facing intertwined challenges of climatic change and increased energy requirements that represent grave threats to human health and wellness, national security, and economic well-being. The U.S. National Science Foundation's (NSF) investments in building a resilient planet will create knowledge that leads to innovative methods and tools to enable the country to predict, respond to, and mitigate the effects of these challenges through engineered or nature-based solutions and advance knowledge of humans as a component of Earth systems.

NEON is the world's first continental-scale observatory designed for standardized long-term observation of ecosystem response to global change. Supported by the NSF, NEON is a major facility producing long-term standardized ecological and environmental data at 81 sites across the United States and territories. NEON data are expected to be collected for 30 years, thus enhancing the "Big Data" era in ecological research. NEON data include biosphere-atmosphere interactions, ecosystem structure and function, as well as organismal data and samples, all of which span aquatic and terrestrial ecosystems at a continental scale. NEON data can be integrated with other major datasets and community science efforts to research biological phenomena including ecosystem and biodiversity change.

There are numerous NEON resources available to aid proposers in developing project ideas, including data, a learning-hub, a code-hub, and a publication database. The NSF-funded Environmental Data Science Innovation & Inclusion Lab (ESIIL) is developing educational and other resources to support collaboration using NEON data. The NSF AI institutes comprise a nationwide infrastructure to promote AI approaches that may represent a valuable resource to applicants seeking to collaborate with experts in AI. The National Artificial Intelligence Research Resource (NAIRR) pilot represents another important resource as it brings together computational, data, software, models, training, and user support for innovation in AI.

Questions should be directed to Program Officers in the Human Resources Cluster of the Division of Biological Infrastructure: bio-dbi-prfb@nsf.gov.

Sincerely,

Susan Marqusee
Assistant Director, Biological Sciences