NSF Funding Opportunities
Forms
NSF Biosketch
This 3-page document outlines an individual's education and training, their appointments and positions, and other information that helps NSF assess how well qualified the individual is to conduct the proposed activities.
How to format your biographical sketch
NSF has partnered with the National Institutes of Health to use SciENcv: Science Experts Network Curriculum Vitae as the NSF-approved format for use in preparation of the biographical sketch section of an NSF proposal. Adoption of a single, common researcher profile system for federal grants reduces administrative burden for researchers.
Proposers must use SciENcv to prepare their biographical sketches for proposals to NSF.
SciENcv will produce an NSF-compliant PDF version of the biographical sketch. Proposers must save this document and submit it as part of their proposal via Research.gov or Grants.gov.
What to include in your biogprahical sketch
NSF Current and Pending Support
NSF requires information on all current and pending support for ongoing projects and proposals. This document contains a list of an individual's proposed and active projects and sources of support. It is used by NSF to assess:
- The capacity of the individual to carry out the proposed research
- Any potential scientific and budgetary overlap or duplication across projects.
- The potential the individual is overcommitting themselves with the proposed project.
What to include in Current and Pending support document
NSF has partnered with the National Institutes of Health to use SciENcv: Science Experts Network Curriculum Vitae as the NSF-approved format for use in preparation of the current and pending support section of an NSF proposal. Adoption of a single, common researcher profile system for federal grants reduces administrative burden for researchers.
Proposers must use SciENcv to prepare their Current and Pending (Other) Support information for proposals to NSF.
Frequently asked questions on using SciENcv
NSF Collaborators and Other Affiliations
This document contains a table of an individual's collaborators, such as their advisors, co-authors and students. NSF requires the use of the Collaborators and Other Affiliations Excel Template (XLSX) for identifying this information. NSF uses Collaborators and Other Affiliations information during the merit review process to help manage reviewer selection. To expedite identification of potential reviewers, having a standard, searchable format for this information is essential.
- Frequently asked question on NSF Collaborators and Other Affiliations (COA) Template (PDF)
- Additional information on NSF Senior Personnel documents
Grants and Fellowships
SBE Postdoctoral Research Fellowship (SPRF)
The Directorate for Social, Behavioral and Economic Sciences (SBE) offers Postdoctoral Research Fellowships to encourage independence early in the Fellow's career through supporting his or her research and training goals. The research and training plan of each Fellowship must address important scientific questions within the scope of the SBE Directorate and the specific guidelines in this solicitation. The SPRF program offers two tracks: (I) Fundamental Research in the SBE Sciences (SPRF-FR) and (II) Broadening Participation in the SBE Sciences (SPRF-BP). See the full text of the solicitation for a detailed description of these tracks.
- Application Deadline: November 4, 2024 (First Wednesday in November, Annually Thereafter)
Cyber-physical systems (CPS)
Cyber-physical systems (CPS) are engineered systems that are built from, and depend upon, the seamless integration of computation and physical components. Advances in CPS will enable capability, adaptability, scalability, resiliency, safety, security, and usability that will expand the horizons of these critical systems. CPS technologies are transforming the way people interact with engineered systems, just as the Internet has transformed the way people interact with information. New, smart CPS drive innovation and competition in a range of application domains including agriculture, aeronautics, building design, civil infrastructure, energy, environmental quality, healthcare and personalized medicine, manufacturing, and transportation. CPS are becoming data-rich enabling new and higher degrees of automation and autonomy. Traditional ideas in CPS research are being challenged by new concepts emerging from artificial intelligence and machine learning. The integration of artificial intelligence with CPS especially for real-time operation creates new research opportunities with major societal implications.
While tremendous progress has been made in advancing CPS technologies, the demand for innovation across application domains is driving the need to accelerate fundamental research to keep pace. At the same time, the CPS program seeks to open new vistas for the research community to think beyond the usual cyber-physical paradigms and structures and propose creative ideas to address the myriad challenges of today's systems as well as those of the future that have not yet been designed or fielded.
The CPS program aims to develop the core research needed to engineer these complex CPS, some of which may also require dependable, high-confidence, or provable behaviors. Core research areas of the program include control, data analytics, and machine learning including real-time learning for control, autonomy, design, Internet of Things (IoT), mixed initiatives including human-in- or human-on-the-loop, networking, privacy, real-time systems, safety, security, and verification. By abstracting from the particulars of specific systems and application domains, the CPS program seeks to reveal cross-cutting, fundamental scientific and engineering principles that underpin the integration of cyber and physical elements across all application domains. The program additionally supports the development of methods, tools, and hardware and software components based upon these cross-cutting principles, along with validation of the principles via prototypes and testbeds. This program also fosters a research community that is committed to advancing education and outreach in CPS and accelerating the transition of CPS research into the real world.
Proposals for three classes of research and education projects—differing in scope and goals—are supported through the CPS program:
- Small projects may request a total budget of up to $500,000 for a period of up to 3 years. They are well suited to emerging new and innovative ideas that may have high impact on the field of CPS.
- Medium projects may request a total budget ranging from $500,001 to $1,200,000 for a period of up to 3 years. They are well suited to multi-disciplinary projects that accomplish clear goals requiring integrated perspectives spanning the disciplines.
- Frontier projects must address clearly identified critical CPS challenges that cannot be achieved by a set of smaller projects. Furthermore, Frontier projects should also look to push the boundaries of CPS well beyond today's systems and capabilities. Funding may be requested for a total of $1,200,001 to $7,000,000 for a period of 4 to 5 years. Note that the Frontier projects have a specific deadline.
Application Deadline
- January 2 2023 - May 30, 2024 - Window for SMALL and MEDIUM Proposals
Accountable Institutions and Behavior (AIB)
The Accountable Institutions and Behavior (AIB) program supports basic scientific research that advances knowledge and understanding of issues broadly related to attitudes, behavior, and institutions connected to public policy and the provision of public services. Research proposals are expected to be theoretically motivated, conceptually precise, methodologically rigorous, and empirically oriented. Substantive areas include (but are not limited to) the study of individual and group decision-making, political institutions (appointed or elected), attitude and preference formation and expression, electoral processes and voting, public administration, and public policy. This work can focus on a single case or can be done in a comparative context, either over time or cross-sectionally. The Program does not fund applied research. The Program also supports research experiences for undergraduate students and infrastructural activities, including methodological innovations. In addition, we encourage you to examine the websites for the National Science Foundation’s Law and Science (LS) and Security and Preparedness (SAP) programs.
Application Deadline
- January 15 and August 15 annually
Law and Science (LC)
The Law & Science Program considers proposals that address social scientific studies of law and law-like systems of rules, as well as studies of how science and technology are applied in legal contexts. The Program is inherently interdisciplinary and multi-methodological. Successful proposals describe research that advances scientific theory and understanding of the connections between human behavior and law, legal institutions, or legal processes; or the interactions of law and basic sciences, including biology, computer and information sciences, STEM education, engineering, geosciences, and math and physical sciences. Scientific studies of law often approach law as dynamic, interacting with multiple arenas, and with the participation of multiple actors. Fields of study include many disciplines, and often address problems including, though not limited, to:
- Crime, Violence, and Policing
- Cyberspace
- Economic Issues
- Environmental Science
- Evidentiary Issues
- Forensic Science
- Governance and Courts
- Human Rights and Comparative Law
- Information Technology
- Legal and Ethical Issues related to Science
- Legal Decision Making
- Legal Mobilization and Conceptions of Justice
- Litigation and the Legal Profession Punishment and Corrections
- Regulation and Facilitation of Biotechnology (e.g., Gene Editing, Gene Testing, Synthetic Biology) and Other Emerging Sciences and Technologies
- Use of Science in the Legal Processes
Application Deadline
- January 15 and August 15 annually
The Methodology, Measurement, and Statistics (MMS)
The Methodology, Measurement, and Statistics (MMS) Program is an interdisciplinary program in the Directorate for Social, Behavioral, and Economic Sciences that supports the development of innovative analytical and statistical methods and models for those sciences. MMS seeks proposals that are methodologically innovative, grounded in theory, and have potential utility for multiple fields within the social, behavioral, and economic sciences. As part of its larger portfolio, the MMS Program partners with a consortium of federal statistical agencies to support research proposals that further the production and use of official statistics.
The MMS Program provides support through a number of different funding mechanisms. The following mechanisms are addressed in this solicitation:
- Regular Research Awards
- Awards for conferences and community-development activities
- Doctoral Dissertation Research Improvement (DDRI) Grants
Research Experience for Undergraduates (REU) Supplements
MMS also supports Faculty Early Career Development (CAREER) awards. Please see the CAREER Program Web Site for more information about this activity.
Application Deadline
- Last Thursday in January annually; last Thursday in August annually