Research grants for Individuals

Expected Outcome: Project results are expected to contribute to all of the following expected outcomes: Increased understanding of European policy makers, research community, biotech companies, and relevant security practitioners of the threat of bioterrorism and of synthetic biology, including a thorough lawful analysis of what needs to be monitored in this context, what needs to be regulated and how; Awareness raised within the related scientific community how research in synthetic biology can be used for malicious purposes. Scope: The rising threat of bioterrorism is driven by recent scientific advancements, notably by growing accessibility of synthetic biology, genetic engineering, related commercial services and public databases, which in turn enhance their obtainability to non-state actors and individuals with malicious intentions. The proliferation of do-it-yourself biohacking and community laboratories, including gene editing and sequencing technology, dropping costs of equipment and increased simplicity of use may inadvertently facilitate knowledge and skills dissemination about biological threats and open new pathways for bioterrorism. Challenges in detection,…

This is a notice of funding opportunity (NOFO) for the NIJ FY 2026 Research on Gender Dysphoria and Violent Crime. This opportunity will support foundational research on gender dysphoria, its treatment, and the perpetration of violence and violent behavior. Available empirical evidence regarding this topic is limited, particularly in regard to underlying causal mechanisms. To address these gaps, NIJ is interested in retrospective, secondary data analyses that explore gender dysphoria, its treatment, and the perpetration of violence and violent behavior. Examples include, but are not limited to: • Prevalence rates of violent crime and behavior for this population, to include demographic information and crime type characteristics. • Post-conviction analyses, to include analyses based on individuals who have been incarcerated. • Analyses examining the relationship between violence and gender dysphoria diagnosis and/or treatment. • Research on the victim/offender overlap or other contextual factors to interpret trends. • Impact of comorbidities (e.g., substance use disorders and/or mental health disorders) on the relationship between violence and gender dysphoria diagnosis and/or treatment.

This is a special Notice of Funding Opportunity Announcement (NOFO) sponsored by the Air Force Office of Scientific Research (AFOSR), which will hereafter generally be referred to as “we”, “us”, “our”, or “AFOSR.” The Fiscal Year 2027 Air Force Young Investigator Research Program (YIP) intends to support individual early career scientists and engineers who have received their Ph.D. or equivalent degrees by 01 April 2019 or later showing exceptional ability and promise for conducting basic research. The program objective is to foster creative basic research in science and engineering; enhance early career development of outstanding young investigators; and increase opportunities for the young investigators to recognize the Air Force and Space Force mission and related challenges in science and engineering. Individual awards are made to U.S. institutions of higher education, industrial laboratories, for- profit, or non-profit research organizations where the principal investigator (PI) is employed on a full-time basis and holds a regular, non-contractor position. A YIP PI must be a U.S. citizen, national, or permanent resident. Researchers working at a Federally Funded Research and Development Center (FFRDC), or a Department of War (DoW) Laboratory are not eligible for this competition. YIP awards are funded up to $150,000 per year for three years, for a total of $450,000. No single year may exceed $150,000. Please review the remainder of this announcement for additional information. Under this competition, an anticipated thirty-seven (37) traditionally funded YIPs and three (3) YIPs funded in partnership with the Laboratory for Physical Sciences (LPS) in the Quantum Information Sciences research discipline may be awarded. There may be potential for an additional 37 YIPs funded from other AFOSR research funding. All actions are based on the availability of funds. Proposers are encouraged to confer with the designated AFOSR Program Officer(s) prior to submitting a full proposal. We will evaluate proposals using an internal review panel. AFOSR reserves the right to select and fund all, some, or none of the proposals from any of the topics below. AFOSR provides no funding for direct reimbursement of proposal development costs. Technical and budget proposals (or any other material) submitted in response to this NOFO will not be returned. It is the policy of AFOSR to treat all white papers and proposals submitted under this NOFO as sensitive competitive information and to disclose their contents only for the purposes of evaluation. White papers briefly summarizing the proposed institution’s ideas are required . Submit white papers to our whitepaper portal, which is linked below. The topic points of contact (POCs) will coordinate to provide feedback on the white papers. The proposals will need to include a data management plan, outlining how samples and data collected in the program will be stored and managed. This includes but is not restricted to issues such as standards for data and metadata collection, content and format, data archiving, database management, and data sharing within, outside the awardee and beyond the lifetime of the grant. This precondition is modeled on the National Science Foundation Data Management Plan requirement (e.g., https://www.nsf.gov/eng/data-management-plans). IMPORTANT NOTE: Applicants should be alert for any amendments that may modify the announcement. Amendments to the original Notice of Funding Opportunity (NOFO) will be posted to the Grants.gov Webpage: https://www.grants.gov/. IMPORTANT DATES: Pre-proposal inquiries and questions, regarding white papers and the submission of those white papers, must be received in writing by electronic mail to the address(es) of this NOFO not later than 17 September 2026 at 11:59 PM Eastern Time to be considered. The Government will respond to any pre-proposal inquiries or questions via public posting, or individual responses, no later than COB on 24 September 2026. Whitepapers must be received by 09 October 2026 at 11:59 PM Eastern Time via submission to https://afosr.gov1.qualtrics.com/jfe/form/SV_eKuTqm9qezoDYep to be considered. White paper evaluation is meant to initially assess the capability of a proposed effort. White papers must be no more than five (5) pages in length. References and CV/bios will not count against the page limit. Please review this announcement in its entirety prior to submitting a white paper. The government will respond to the white paper determination before COB on 06 November 2026 . Proposals must be received electronically through Grants.gov by 04 December 2026 at 11:59 PM Eastern Time to be considered. We anticipate that we will notify proposers of selection or non-selection for award no later than 26 April 2027 . We anticipate awards to be made by 01 May 2027 , barring delays. 

Expected Outcome: The action is expected to mature and demonstrate (TRL 6-8) innovative technologies in one of the key areas set out under the scope of the topic: developing and advancing the technology readiness of innovative individual components and/or integrated systems that perform the key functions of fusion power plants (FPPs), in line with the key area targeted; testing the innovative components and/or systems developed in close-to-real-life conditions, demonstrating the ability to deliver fusion-grade components and/or systems; providing a credible business case, clarifying the potential and perspectives for commercialisation of the components and/or systems developed, and showing the benefits for the competitiveness and growth of EU companies from the fusion field. Scope: to ensure a successful transition to commercially viable fusion power plants, the Commission is establishing a co-programmed public-private partnership, maximising the convergence of publicly funded action and privately led initiatives. This European Partnership on Fusion Energy is being established with the support of a coordination and support action funded under the Euratom programme. It will…

The Human Networks and Data Science program (HNDS) supports research that enhances understanding of human behavior by leveraging data and network science research across a broad range of topics. HNDS research will identify ways in which dynamic, distributed, or heterogeneous data can provide novel answers to fundamental questions about individual or group behavior. HNDS is especially interested in proposals that provide data-rich insights about human networks to support improved health, prosperity, and security. HNDS has two tracks: (1) Human Networks and Data Science – Infrastructure (HNDS-I). Infrastructure proposals will address the development of data resources and relevant analytic techniques that support fundamental Social, Behavioral and Economic (SBE) research. Successful infrastructure proposals will construct, within the financial resources provided by the award, databases or relevant analytic techniques and produce a finished product that will enable previously impossible data-intensive research in the social sciences. The databases or techniques should have significant impacts, either across multiple fields or within broad disciplinary areas, by making possible new types of data-intensive research in the SBE sciences. (2) Human Networks and Data Science – Core Research (HNDS-R). Core research proposals will advance theory in a core SBE discipline by the application of data and network science methods. This includes the leveraging of large data sets with diverse spatio-temporal scales of measurement and linked qualitative and quantitative approaches, as well as multi-scale, multi-level network data and techniques of network analysis. Supported projects are expected to yield results that will enhance, expand, and transform theory and methods, and that generate novel understandings of human behavior – particularly understandings that can lead to significant societal benefits or opportunities. HNDS-R encourages core research proposals that make innovative use of NSF-supported data networks, databases, centers and other forms of scientific infrastructure including those developed by HNDS-I (formerly RIDIR) projects .

Society’s most important advances have stemmed from those willing to think differently about what might be possible. ARIA is an R&D funding agency built to unlock scientific and technological breakthroughs that benefit everyone. Created by an Act of Parliament, and sponsored by the Department for Science, Innovation, and Technology, ARIA funds breakthrough R&D in under explored areas to catalyse new paths to prosperity for the UK and the world.

Amendment 0008 The purpose of this amendment is to extend the due date for acceptance of White Papers. All other terms and conditions remain unchanged. -------------------------------------------------------------- Amendment 0007 The purpose of this amendment is to add Summary Topic 61-24-06 - AFFF ALTERNATIVE PROGRAM COMPATIBILITY OF FLUORINE-FREE FOAM (F3) WITH NON-ASPIRATING SPRINKLER NOZZLES to Appendix 1 in it’s entirety. All other terms and conditions remain unchanged. -------------------------------------------------------------- Amendment 0006 The purpose of this amendment is to extend the due date for acceptance of White Papers. All other terms and conditions remain unchanged. -------------------------------------------------------------- Amendment 0005 The purpose of this amendment is to provide a searchable list of Summary Topics contained in Appendix 1. Expanded descriptions of each topic can be found in the full announcement pdf. APPENDIX 1 – RESEARCH DESCRIPTION - SUMMARY TOPICS   II. Detailed information about the funding opportunity   The Naval Research Laboratory (NRL) is the Navy's corporate laboratory. NRL conducts basic and applied research for the Navy in a variety of scientific and technical disciplines. The basic research program is driven by perceptions about future requirements of the Navy. The Navy's operational effectiveness depends on its ability to keep pace with rapidly developing technologies. NRL contributes to this requirement by conducting research in the following areas, organized into NRL'S three research directorates and Naval Center for Space Technology: Systems Directorate Code 5000 Materials Science and Component Technology Directorate Code 6000 Ocean and Atmospheric Science and Technology Directorate Code 7000 Naval Center for Space Technology Code 8000 A.   SYSTEMS DIRECTORATE - CODE 5000 53-24-01 - HIGH FREQUENCY RADAR 53-24-01C - HIGH FREQUENCY RADAR (CLASSIFIED) 53-24-02 - LOW-COST WIDEBAND ANTENNA ARRAY TECHNOLOGIES 53-24-03 - ADVANCED COMPUTATIONAL ELECTROMAGNETICS 55-24-01 - INFORMATION AND DECISION SCIENCES 55-24-02 - MATHEMATICAL FOUNDATIONS OF HIGH ASSURANCE COMPUTING 55-24-03 - HIGH ASSURANCE ENGINEERING AND COMPUTING 55-24-04 - ADVANCED NAVAL NETWORK SOLUTIONS 55-24-05 - FEDERATED, DISTRIBUTED COMPUTING/NETWORK INFRASTRUCTURE 56-24-01 - OPTICAL SCIENCES R&D 57-24-01  - ELECTROMAGNETIC TECHNIQUES AND TECHNOLOGY RESEARCH AND DEVELOPMENT 57-24-02  ​ - SHIPBOARD ELECTRONIC WARFARE   B. MATERIALS SCIENCE AND COMPONENT TECHNOLOGY DIRECTORATE CODE 6000 60-24-01 - HIGH PERFORMANCE COMPUTING ON MASSIVELY PARALLEL ARCHITECTURES 61-24-01 - ELECTROCHEMICAL ENERGY STORAGE, CONVERSION AND COMMAND/CONTROL 61-24-02 - CORROSION PROCESSES, CONTROL, MITIGATION, AND TECHNOLOGY 61-24-03 - APPLICATIONS OF MOLECULAR BIOLOGY, BIOCHEMISTRY, ANALYTICAL CHEMISTRY AND ADVANCED LASER TECHNIQUES 61-24-04 - MULTIECHELON DIAGNOSTICS (MEDx) TECHNOLOGY DEVELOPMENT AND TIERED EVALUATION 63-24-01 - MATERIALS PERFORMANCE, PROCESSING, AND MODELING 67-24-01 - BASIC AND APPLIED RESEARCH IN PLASMA SCIENCE 68-24-01 - RADIATION EFFECTS RESEARCH 68-24-02 - PHOTOVOLTAICS FOR PORTABLE POWER   C.   OCEAN AND ATMOSPHERIC SCIENCE AND TECHNOLOGY DIRECTORATE CODE 7000 71-24-01 - ACOUSTIC SIMULATION AND TACTICS 72-24-01 - LOW FREQUENCY RADIO INTERFEROMETRY 72-24-02 - OPTICAL REMOTE SENSING OF THE COASTAL REGIME 72-24-03 - REMOTE SENSORS AND IMAGING SYSTEMS 72-24-04 - AIRBORNE, SHIPBOARD, AND OVERHEAD DATA ACQUISITION AND ANALYSIS 73-24-01 - OCEAN DYNAMICS AND PREDICTION OCEANOGRAPHY 73-24-02 - SEAFLOOR SCIENCES 73-24-03 - GEOSPATIAL SCIENCES AND TECHNOLOGY 75-24-01 - ATMOSPHERIC EFFECTS, ANALYSIS, AND PREDICTION 76-24-01 - RESEARCH INTO SPACE, BACKGROUNDS, IMAGING AND MODELING   D.   NAVAL CENTER FOR SPACE TECHNOLOGY CODE 8000 82-24-01 - SPACECRAFT & SPACE SYSTEMS TECHNOLOGY -------------------------------------------------------------- Amendment 0004 The purpose of this amendment is to extend the due date for acceptance of White Papers and revise Appendix 1 Summary Topics and email addresses in it’s entirety. -------------------------------------------------------------- Amendment 0003 The purpose of this amendment is to extend the due date for acceptance of White Papers. All other terms and conditions remain unchanged. ------------------------------------------------------------- Amendment 0002 The purpose of this amendment is to extend the due date for acceptance of White Papers. All other terms and conditions remain unchanged. ------------------------------------------------------------- Amendment 0001 The purpose of this amendment is to extend the due date for acceptance of White Papers. All other terms and conditions remain unchanged. -------------------------------------------------------------- The Naval Research Laboratory is interested in receiving innovative proposals that offer potential for advancement and improvement in the technical topic areas listed. This notice constitutes a Broad Agency Announcement (BAA) as contemplated in FAR 6.302(d) that provides for the competitive selection of research proposals. The Government reserves the right to select for award all, some, or none of the proposals received. Awards under this BAA are expected to take the form of Contracts, Grants, Cooperative Agreements and Other Transactions may also be awarded if appropriate. NRL encourages Educational Institutions, Small Businesses (SBs), Small Disadvantaged Business Concerns (SDBs) and Historically Black Colleges and Universities (HBCUs) and Minority Institutions (MIs) to submit proposals under this BAA. In order to conserve valuable offeror and Government resources, prospective offerors shall first submit a White Paper (WP) to the email address identified in the individual Summary Topics contained in Appendix 1, to include a rough cost estimate. If there is interest in the proposed research the offeror will be invited to submit a Formal Proposal. The selection of proposals for award will be based on a scientific review of proposals submitted in response to each BAA Summary Topic. The major purpose of the evaluation will be to determine the relative merit of the technical approach of each proposal. Business and contractual aspects, including proposed cost and cost realism, will also be considered as part of the evaluation. Selection of proposals for award will be based on the potential benefits to the Government weighed against the cost of the proposals, in view of the availability of funds. The complete BAA including proposal preparation instructions, award considerations, and evaluation criteria is also available at https://www.nrl.navy.mil/Doing-Business/Contracts/Broad-Agency-Announcements/ .

The Astronomy and Astrophysics Research Grants (AAG) Program is an inclusive and flexible funding opportunity to support research in the astronomical sciences. The Program provides individual investigator and collaborative research grants for observational, theoretical, laboratory, and archival data studies in astronomy and astrophysics. The Program also considers proposals for projects and tools that enable or enhance astronomical research. Proposals may span multiple disciplines and/or areas of study and may utilize multiple techniques.

Proposals in the area of plasma physics submitted to the Division of Physics that are not governed by another solicitation (such as CAREER), should be submitted to the Division-wide solicitation: Division of Physics: Investigator-Initiated Research Projects . The Plasma Physics program participates in multiple NSF meta-programs such as the ECosytem for Leading Innovation in Plasma Science and Engineering (ECLIPSE) , Windows on the Universe: The Era of Multi-Messenger Astrophysics (WoU-MMA) , and Computational and Data-enabled Science and Engineering (CDS&E) . Topically appropriate proposals may also be submitted to the Plasma Physics program in response to NSF Dear Colleague Letters such as Critical Aspects of Sustainability (CAS): Innovative Solutions to Sustainable Chemistry (CAS-SC) . When permitted under an MOU between NSF and another funding agency or private foundation, NSF may share information from proposals submitted to this solicitation for consideration of joint funding, and may invite employees of such organizations to attend merit review panels as observers. MOUs of relevance to the Plasma Physics program presently exist with the Department of Energy/Office of Science, National Nuclear Security Administration, the Air Force Office of Scientific Research, the US-Israel Binational Science Foundation, the Czech Science Foundation, Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), and the Swiss National Science Foundation. Plasma Physics is a study of matter and physical systems whose intrinsic properties are governed by collective interactions of large ensembles of free charged particles. 99.9% of the visible Universe is thought to consist of plasmas. The underlying physics of the collective behavior in plasmas has applications to space physics and astrophysics, materials science, applied mathematics, fusion science, accelerator science, and many branches of engineering. The Plasma Physics program supports research that can be categorized by several broad, sometimes overlapping, sub-areas of the discipline, including: magnetized plasmas in the laboratory, space, and astrophysical environments; high energy density plasmas; low temperature plasmas; dusty, ultra-cold, and otherwise strongly coupled plasmas; non-neutral plasmas; and intense field-matter interaction in plasmas. The focus of the Plasma Physics program is to generate an understanding of the fundamental principles governing the physical behavior of a plasma via collective interactions of large ensembles of free charged particles, as well as to improve the basic understanding of the plasma state as needed for other areas of science and engineering. Principal Investigators (PIs) are encouraged to consider including specific efforts to increase diversity of the plasma physics community and broaden participation of under-represented groups in Science, Technology, Engineering, and Mathematics (STEM) as Broader Impacts of proposed work. Development of new undergraduate and graduate plasma physics curricula, or curricula enhancement to include plasma physics topics in other courses, at institutions lacking such coursework is similarly encouraged. NSF recognizes that some research projects within this Program may require more than three years to realize demonstrable research outcomes. For such projects, PIs are encouraged to consult the above Program Director to discuss the possibility of submitting a proposal of 4- or 5-year duration. Some Plasma Physics-related activities are supported primarily by other NSF Programs. Proposals focused on the physical properties of individual or a small number of atoms or molecules, or optical physics, should be directed to the Atomic, Molecular, and Optical Physics Program within the Division of Physics. Proposals focused on understanding astrophysical systems should be directed to the Division of Astronomical Sciences. Proposals focused on understanding the Geospace environment or the Sun-Earth interactions should be directed to an appropriate program within the Geospace Section of the Division of Atmospheric and Geospace Sciences. Proposals focused on development of new materials using plasmas should be directed to an appropriate program in the Division of Materials Research. Proposals focused on plasma-assisted manufacturing should be directed to the Division of Civil, Mechanical and Manufacturing Innovation. Finally, proposals focused on use of plasmas for environmental and reaction engineering, environmental sustainability, combustion systems, or engineering of biomedical systems should be directed to an appropriate program within the Division of Chemical, Bioengineering, Environmental and Transport systems.

Summary: The intent of the fiscal year 2026 (FY26) Toxic Exposures Research Program (TERP) Translational Research Award (TRA) is to support translational research that will accelerate the movement of promising ideas in military-related toxic exposure research into clinical applications, including health care products, interventions, technologies and/or clinical practice guidelines. Translational research may be defined as an integration of basic science and clinical observations. New Approach Methodologies may also be used. Applications should provide evidence for the reciprocal transfer of information between basic and clinical science, or vice versa, in developing and implementing the research plan.   Distinctive Features: To encourage applications that include meaningful and productive collaborations, the FY26 TERP TRA includes a Partnering Principal Investigator Option (PPIO). One Principal Investigator (PI) is identified as the initiating PI, and an additional PI may be identified as a Partnering PI. If recommended for funding, each PI will be named on separate awards. The intent is to support interdisciplinary partnerships, such as those between clinicians and research scientists, that will accelerate the movement of promising ideas into clinical applications. Partnering should significantly advance the research beyond what would be possible through individual efforts. https://cdmrp.health.mil/pubs/press/2026/terppreann

Summary: The Orthopaedic Research Program (ORP) Applied Research Award (ARA) seeks applied research applications focused on advancing optimal treatment and restoration of function for individuals with orthopaedic injuries sustained during combat or service-related activities. Distinctive Features:  • Applied research is defined as work that refines concepts and ideas into potential solutions with a view toward evaluating technical feasibility of promising new knowledge products, pharmacologic agents, behavioral and rehabilitation interventions, diagnostic and therapeutic techniques, clinical guidance and/or emerging approaches and technologies. • Preliminary data is required. • Military relevance : the ORP expects that research findings benefit Service Members, their families, Veterans and the general public. • Clinical research is not allowed.

Summary: The fiscal year 2026 (FY26) Rare Cancers Research Program (RCRP) Resource and Community Development Award (RCDA) supports the development of research resources and clinical or preclinical datasets that will advance the field of rare cancers research and ultimately improve outcomes for individuals with rare cancers. Research supporting this funding opportunity should fill one of the following major gaps: Lack of research and clinical resources, including patient tissues, cell and tumor models. Lack of communication and dissemination strategies within scientific and patient communities for sharing rare cancers research and clinical findings. Lack of infrastructure for sharing data and other resources. Lack of therapeutics and mechanistic research to inform treatment development. Distinctive Features: Documentation of plans for engagement and partnerships with Patient Advocates throughout the life cycle of the research study from development of the research question through execution of the study. Community building and enhancement are key components. A description of the dissemination and sustainability of the platform for scientific and/or clinical and patient community is required. Preliminary data are not required but may be included to address feasibility.

The Advanced Technologies and Instrumentation for the Astronomical Sciences (ATI) program provides individual investigator and collaborative research grants for the development of new technologies and instrumentation for use in ground-based astronomy and astrophysics.The program supports achieving the science objectives of the Division of Astronomical Sciences. The development of innovative, potentially transformative, technologies and instruments are sought, even at high technical risk.Supported categories include (but are not limited to):advanced technology development, concept feasibility studies, and specialized instrumentation to enable new observations that are difficult or impossible to obtain with existing means.Proposals may include hardware and/or software development and/or analysis to enable new types of astronomical observations. Access to the ATI supported technology and instrumentation development efforts by the US astronomical community is viewed as an important metric of success. An annual Principal Investigators meeting is planned to disseminate information between the funded research efforts.

Summary: The fiscal year 2026 (FY26) Autism Research Program (ARP) Career Development Award supports early-career, independent investigators and/or the transition of established investigators from other research fields to conduct innovative, high-impact ideas or early-phase, proof-of-principle clinical trials with the potential to have a major impact on autism. Distinctive Features: Applications are strongly encouraged to address one of the FY26 ARP Career Development Award Areas of Interest or provide justification that the proposed research addresses a critical problem, question, or need in autism. FY26 Career Development Award submissions with a pilot clinical trial component are required to include community collaborations to optimize research impact. Applications are expected to name at least one community partner (e.g., an Autistic individual or caregiver, representatives of community-based organizations) who will provide advice and consultation throughout the planning and implementation of the research project.

Summary: The fiscal year 2026 (FY26) Military Burn Research Program (MBRP) Technology/Therapeutic Development Award (TTDA) is a burn-focused, product-driven award mechanism intended to provide support for the translation of promising preclinical findings into burn products for clinical application in an austere, resource-limited, distributed operational environment. Distinctive Features: The technology or therapeutic product(s) to be developed must be product-oriented (e.g., medical device, drug, or clinical practice guidelines involving a therapeutic or technology). The product(s) to be developed may be tangible or knowledge supporting the development of a tangible product and must address one or more of the FY26 MBRP TTDA focus areas. Knowledge products are allowable, provided that the knowledge is applicable to a technology or therapeutic under development. (A “knowledge product” is a non-tangible, non-materiel product that results from research with the potential to improve individual or public health.) ·         New for FY26: The FY26 MBRP TTDA offers a Mentorship Option at a higher funding level to support a synergistic relationship between an experienced researcher (Mentor) and one to two junior researchers (Mentees). The dual purpose of this award is to fund a primary research study addressing a critical gap in combat burn care while simultaneously fostering the development of the next generation of military burn research leaders.

Summary: The fiscal year 2026 (FY26) Autism Research Program (ARP) Idea Development Award supports the development of innovative, high-risk/high-reward research that could lead to critical discoveries or major advancements that will accelerate progress in improving outcomes for Autistic individuals. This award mechanism is designed to support innovative ideas with the potential to yield impactful data and new avenues of investigation. Distinctive Features: Applications are strongly encouraged to address one of the FY26 ARP Idea Development Award Areas of Interest or provide justification that the proposed research addresses a critical problem, question, or need in autism. Partnering Principal Investigator (PI) Option: The Partnering PI Option is structured so that two investigators, each of whom will be designated as a PI, will work synergistically on a single project. The results of this partnering project should significantly advance the research beyond what would be possible through individual efforts.

Summary: The fiscal year 2026 (FY26) Autism Research Program (ARP) Clinical Trial Award supports the rapid implementation of clinical trials with the potential to have a significant impact on the treatment or management of autism. Clinical trials may be designed to evaluate promising new products, pharmacologic agents (drugs or biologics), devices, clinical guidance and/or emerging approaches and technologies. Proposed projects may range from small proof-of-concept trials (e.g., pilot, first-in-human, phase 0) to demonstrate the feasibility or inform the design of more advanced trials through large-scale trials to determine efficacy in relevant patient populations. Distinctive Features: Applications are strongly encouraged to address one of the FY26 ARP Clinical Trial Award Areas of Interest. Partnering Principal Investigator (PI) Option for Early-Career Investigator: The FY26 Clinical Trial Award mechanism is offering a higher level of funding for applications that propose to partner an experienced PI (i.e., Initiating PI) with an Early-Career Investigator (i.e., Partnering PI) wishing to pursue a career in autism clinical trial research. FY26 Clinical Trial Award submissions are required to include community collaborations to optimize research impact. Research teams are therefore required to establish and utilize effective and equitable collaborations and partnerships with community members to maximize the translational and impact potential of the proposed research. Applications to the FY26 ARP Clinical Trial Award are expected to name at least one community partner (e.g., Autistic individual or caregiver, representatives of community-based organizations) who will provide advice and consultation throughout the planning and implementation of the research project. Interactions with other team members should be well integrated and ongoing, not limited to attending seminars and semi-annual meetings (see Attachment 12, Community Collaboration Plan).

The Linguistics Program supports basic science in the domain of human language, encompassing investigations of the grammatical properties of individual human languages, and of natural language in general. Research areas include syntax, semantics, morphology, phonetics and phonology. The program encourages projects that are interdisciplinary in methodological or theoretical perspective, and that address questions that cross disciplinary boundaries, such as (but not limited to): What are the psychological processes involved in the production, perception, and comprehension of language? What are the computational properties of language and/or the language processor that make fluent production, incremental comprehension or rapid learning possible? How do the acoustic and physiological properties of speech inform our theories of natural language and/or language processing? What role does human neurobiology play in shaping the various grammatical properties of language? How does language develop in natural learning contexts across the life-span? What social and cultural factors underlie language variation and change? Because NSF's mandate is to support basic research, the Linguistics Program does not fund research that takes as its primary goal improved clinical practice or applied policy, nor does it support work to develop or assess pedagogical methods or tools for language instruction. The Linguistics Program accepts proposals for a variety of project types: research proposals from scholars with PhDs or equivalent degrees, proposals for Doctoral Dissertation Research Improvement (LING-DDRI) awards, and CAREER proposals. We will also consider proposals for conferences. Funding requests for conference support should be submitted in accordance with the Conference Proposals section of Chapter II of NSF's Proposal & Award Policies & Procedures Guide (PAPPG) . NSF's Division of Behavioral and Cognitive Sciences (BCS), in partnership with the National Endowment for the Humanities and in collaboration with programs in other NSF Directorates, supports efforts to develop and advance knowledge and infrastructure that will enable the analysis of languages that are both understudied and at risk of falling out of use. In recognition of the critical relevance of these languages to understanding the range and limits of human linguistic and cultural variation, BCS accepts research and dissertation proposals in response to solicitations NSF Dynamic Language Infrastructure - NEH Documenting Endangered Languages (DLI-DEL) and Dynamic Language Infrastructure - Doctoral Dissertation Research Improvement Grants (DLI-DDRI) . For more information about Multidisciplinary Research and Training Opportunities, please visit the SBE Office of Multidisciplinary Activities web site.

The Decision, Risk and Management Sciences Program (DRMS) supports scientific research directed at increasing understanding and effectiveness of decision making by individuals, groups, organizations and society. DRMS supports research with solid foundations in theories and methods of the social and behavioral sciences. This social and behavioral science research should advance knowledge, address fundamental scientific and societal issues and have strong broader impacts. DRMS funds disciplinary and interdisciplinary research, doctoral dissertation research improvement grants (DDRIGs) and conferences in the following areas: judgment and decision making; decision analysis and decision aids; risk analysis, perception and communication; societal and public-policy decision making; management science and organizational design. The program supports the use of the RAPID funding mechanism for research that involves ephemeral data, typically tied to disasters or other unanticipated events. Much less frequently, the program also supports highly unusual, proof-of-concept, high-risk projects that are potentially transformational (Early Concept Grants for Exploratory Research – EAGER). For detailed information concerning RAPID and EAGER grants, please review Chapter II.E of the  NSF PAPPG . All research must be grounded in theory and generalizable. Purely algorithmic management-science proposals should be submitted to the  Operations Engineering (OE)  Program rather than to DRMS. Decision, Risk and Management Sciences offers Doctoral Dissertation Research Improvement Grants (DDRIGs) to improve the quality of dissertation research. For detailed guidelines on preparing a DDRIG proposal, consult the separate   DRMS-DDRIG solicitation .

The primary aim of the Mathematical Sciences Infrastructure Program is to foster the continuing health of the mathematical sciences research community as a whole. In addition, the program complements the Workforce Program in the Mathematical Sciences in its goal to increase the number of well-prepared U.S. based individuals who successfully pursue careers in the mathematical sciences and in other professions in which expertise in the mathematical sciences plays an increasingly important role. The DMS Infrastructure program invites projects that support core research in the mathematical sciences, including: 1) novel projects supporting research infrastructure across the mathematical sciences community; 2) training projects complementing the Workforce Program, and 3) conference, workshop, and travel support requests that include cross-disciplinary activities or have an impact at the national scale.  Proposals under this solicitation submitted to DMS Infrastructure must show engagement in developing or enhancing the mathematical sciences research infrastructure in the U.S., including, but not limited to, broadening participation activities; professional development training; or involvement of students and early career researchers. Proposals must explain the regional or national scale impact of the activity that goes substantially beyond the submitting institution or the location of the event. Full proposals (with exception of conference proposals, which are subject to lead-time requirements) must be submitted close to one of the Full Proposal Target Dates. See below for more information about each category of Infrastructure projects. (1)  Novel projects that serve to strengthen the research infrastructure: The DMS Infrastructure Program will consider novel projects that support and strengthen the research infrastructure across the mathematical sciences community. These projects most often cut across multiple sub-disciplines supported by DMS or involve interdisciplinary collaborations. The main goal of these projects should be to create a new research infrastructure or substantially enhance or transform an existing infrastructure with regional or national impact that goes substantially beyond the submitting institution or the location of the project.   Full proposals must be submitted by the Full Proposal Target Date. (2)  Training projects: Training proposals submitted to DMS Infrastructure must not fit into one of the areas covered by solicitations in the Workforce Program in the Mathematical Sciences ; they must be submitted by the Full Proposal Target Date; and they must: A. Include a core research component for trainees in mathematical sciences; B. Demonstrate promise for an impact at the regional or national scale that goes substantially beyond the submitting institution or the location of the project; C. Satisfy at least one of the following criteria: i. Serve as models to be replicated, ii. Promote partnerships with non-academic entities, minority-serving institutions, or community colleges, or  iii. Include a substantial broadening participation initiative. In addition, all proposals of this type must clearly identify: Goals to be achieved; Specific new activities to be conducted, the way in which these address the goals, and the way in which the activities significantly differ from or enhance common practice; Measurable outcomes for the project; Plans and methods for assessment of progress toward the goals to be achieved, and for evaluation of the success of the activity; Recruitment, selection, and retention plans for participants, including members of underrepresented groups; Sustainability plans to continue the pursuit of the project's goals when funding terminates; and A budget commensurate with the proposed activity. 3) Conferences, Symposia, Working Research Sessions, Travel Support Requests : Principal Investigators should carefully read the program solicitation  Conferences and Workshops in the Mathematical Sciences  to obtain important information regarding the substance of proposals for conferences, workshops, summer/winter schools, international travel support, and similar activities. Conference/workshop proposals that concern topics within a particular subdiscipline of mathematics or statistics should be submitted to the appropriate DMS disciplinary program(s). These submissions are subject to the lead-time requirements specified by the disciplinary program(s); see the program web pages listed on the  DMS home page . Conference/workshop proposals may be submitted to the DMS Infrastructure program only if the intended topical areas span a wide range of the mathematical sciences and are consequently not within the scope of DMS disciplinary programs. The required lead time for submission of such proposals is: 6 months in advance of the meeting date for proposals requesting no more than $50,000 to support a domestic meeting; 9 months in advance of the meeting date for proposals requesting more than $50,000 to support a domestic meeting; 12 months in advance of the meeting date for proposals requesting support for participation in a meeting taking place outside the United States.       

Science of Learning and Augmented Intelligence (SL) supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes and mechanisms of learning, and about augmented intelligence — how human cognitive function can be augmented through interactions with others or with technology, or through variations in context.  The program supports research addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis, including molecular and cellular mechanisms; brain systems; cognitive, affective and behavioral processes; and social and cultural influences.  The program also supports research on augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes, such as in design, complex decision-making and problem-solving, can be improved through interactions with others or through the use of artificial intelligence in technology. These could include ways of using knowledge about human functioning to improve the design of collaborative technologies that have the capacity to learn to adapt to humans. For both aspects of the program, there is special interest in collaborative and collective models of learning and intelligence that are supported by the unprecedented speed and scale of technological connectivity. This includes emphasis on how people and technology working together in new ways and at scale can achieve more than either can attain alone. The program also seeks explanations for how the emergent intelligence of groups, organizations and networks intersects with processes of learning, behavior and cognition in individuals.    Projects that are convergent or interdisciplinary may be especially valuable in advancing basic understanding of these areas, but research within a single discipline or methodology is also appropriate. Connections between proposed research and specific technological, educational and workforce applications will be considered as valuable broader impacts but are not necessarily central to the intellectual merit of proposed research. The program supports a variety of approaches, including experiments, field studies, surveys, computational modeling, and artificial intelligence or machine learning methods. Examples of general research questions within scope of Science of Learning and Augmented Intelligence (SL) include: What are the underlying mechanisms that support transfer of learning from one context to another or from one domain to another? How is learning generalized from a small set of specific experiences? What is the basis for robust learning that is resilient against potential interference from new experiences? How is learning consolidated and reconsolidated from transient experience to stable memory? How do human interactions with technologies, imbued with artificial intelligence, provide improved human task performance? What models best describe the interplay of the individual and collaborative processes that lead to co-creation of knowledge and collective intelligence? In what ways do the capacities and constraints of human cognition inform improved methods of human-artificial intelligence collaboration?  How can we integrate research findings and insights across levels of analysis, relating understanding of cellular and molecular mechanisms of learning in the neurons, to circuit and systems-level computations of learning in the brain, to cognitive, affective, social and behavioral processes of learning? What is the relationship between assembly of new networks (development) and learning new knowledge in a maturing or mature brain? What concepts, tools (including Big Data, machine learning, and other computational models) or questions will provide the most productive linkages across levels of analysis? How can insights from biological learners contribute and derive new theoretical perspectives to artificial intelligence, neuromorphic engineering, materials science and nanotechnology? How can the ability of biological systems to learn from relatively few examples improve efficiency of artificial systems? How do learning systems (biological and artificial) address complex issues of causal reasoning? How can knowledge about the ways in which humans learn help in the design of human-machine interfaces?

Organizations -- private and public, established and entrepreneurial, designed and emergent, formal and informal, profit and nonprofit -- are critical to the well-being of nations and their citizens. They are of crucial importance for producing goods and services, creating value, providing jobs, and achieving social goals. The Science of Organizations (SoO) program funds basic research that yields a scientific evidence base for improving the design and emergence, development and deployment, and management and ultimate effectiveness of organizations of all kinds. SoO funds research that advances our fundamental understanding of how organizations develop, form and operate. Successful SoO research proposals use scientific methods to develop and refine theories, to empirically test theories and frameworks, and to develop new measures and methods. Funded research is aimed at yielding generalizable insights that are of value to the business practitioner, policy-maker and research communities. SoO welcomes any and all rigorous, scientific approaches that illuminate aspects of organizations as systems of coordination, management and governance.  In considering whether a particular project might be a candidate for consideration by SoO, please note: Intellectual perspectives may involve (but are not limited to) organizational theory, behavior, sociology or economics, business policy and strategy, communication sciences, entrepreneurship, human resource management, information sciences , managerial and organizational cognition, operations management, public administration, social or industrial psychology, and technology and innovation management. Phenomena studied may include (but are not limited to) structures, routines, effectiveness, competitiveness, innovation, dynamics, change and evolution. Levels of analysis may include (but are not limited to) organizational, cross-organizational collaborations or relationships, and institutional and can address individuals, groups or teams. Research methods may be qualitative and quantitative and may include (but are not limited to) archival analyses, surveys, simulation studies, experiments, comparative case studies, and network analyses.  Consistent with NSF merit review criteria, each SoO proposal should discuss both the intellectual merit and the potential broader impacts of the proposed research. SoO values basic research that has the potential to provide broader societal benefits. However, the majority of space in any proposal will need to be dedicated to the explication of theory, methods, and specific contribution to the evidence base about organizational effectiveness. Projects that aim to implement and subsequently evaluate particular organizational training, effectiveness or change programs, rather than to advance fundamental, generalizable knowledge, are not appropriate for SoO. Researchers who seek to conduct SoO-appropriate research in an industrial site and/or via an industry-university collaboration are invited to also look at the Grant Opportunities for Academic Liaisons with Industry (GOALI) program web site .

NSF GRANTED supports innovative models of research enterprise administrative development and workforce training infrastructure that promote sustainable research capacity and opportunities for economic impact in U.S. organizations. The research enterprise, broadly defined, includes research development and administration, research analytics, technology transfer and commercialization, corporate relations/public-private partnerships, research integrity, compliance and security, research policy, administration of student research training, and research leadership. Strengthening and transforming this administrative infrastructure is necessary to fully utilize the Nation's research talent and capabilities and empower America's organizations that engage in or support research and its outcomes, to participate in a globally competitive research enterprise. Program Description Maintaining U.S. global leadership demands a research enterprise that is competitive, effective, sustainable a nd contributes to the Nation's economic growth goals. A strong national research enterprise relies on more than funding for the research itself. It also requires robust administrative support-and-service infrastructure, which is often unseen, yet includes critical components to ensure a competitive research environment regardless of organization or location. Research enterprise infrastructure enables the development of proposals and management of awards and supports research translation through technology transfer and public-private partnerships. Research compliance enables the security and integrity of research approaches. Research analytics and communication, managing the training of the U.S. scientific workforce, and harnessing the creativity and drive of research leadership, and more, are also fundamental components of the infrastructure. The  GRANTED initiative  provides unique opportunities to realize a broad and collaborative vision for research enterprise infrastructure. Proposals in response to this GRANTED program description should engage the professional, administrative research support-and-service workforce in project leadership roles described within proposals. Proposed projects should look beyond individual and discipline-specific research needs and focus on activities that create organization-wide impact and potential for regional and national impact. Projects should propose scalable approaches and models to build and sustain research enterprise infrastructure. Competitive proposals will recognize structural and organizational challenges and include goals to implement interventions, solutions, and/or strategies that will mitigate the challenges. Proposals must be centered around one or more of the three main themes of GRANTED: Innovating and enhancing practices and processes within the research enterprise; Developing and strengthening human capital within the research enterprise; and Translating effective practices related to the research enterprise into a broad range of organizational contexts. The GRANTED program utilizes general proposal requirements, including eligibility, as outlined in the current NSF Proposal and Award Policies and Procedures Guide (PAPPG). Prospective PIs are strongly encouraged to contact GRANTED initiative personnel ( GRANTED@nsf.gov ) with inquiries prior to developing and submitting a proposal to this program description. The project budget and duration should be determined by the scope of the proposed activities and presented in accordance with the PAPPG. GRANTED is not intended to fund discipline-specific STEM research and training projects. Collectively, proposals funded through this Program Description will advance transformation of the national research enterprise, measured through 1) generating scalable models that improve research capacity and competitiveness, 2) creating collaborations, partnerships, and communities centered around strengthening the Nation's research enterprise, 3) increasing the range of project leadership, organizations, ideas, and approaches that NSF funds, especially related to developing areas aligned to agency priorities, and 4) strengthening engagement across the Nation’s research enterprise.

The Sociology Program supports basic research on all forms of human social organization  — societies, institutions, groups and demography  — and processes of individual and institutional change. The program encourages theoretically focused empirical investigations aimed at improving the explanation of fundamental social processes. This includes research on organizations and organizational behavior, population dynamics, social movements, social groups, labor force participation, stratification and mobility, family, social networks, socialization, and the sociology of science and technology. The program supports both original data collection and secondary data analysis that use the full range of quantitative and qualitative methodological tools. Theoretically grounded projects that offer methodological innovations and improvements for data collection and analysis are also welcomed.  Principal Investigators should select PD 98-1331 in the program announcement/solicitation block on the proposal cover sheet for submission of regular research projects to the sociology program. Projects are evaluated using the two foundation-wide criteria, intellectual merit and broader impacts . In assessing the intellectual merit of proposed research, four components are key to securing support from the Sociology Program: (1) the issues investigated must be theoretically grounded; (2) the research should be based on empirical observation or be subject to empirical validation or illustration; (3) the research design must be appropriate to the questions asked; and (4) the proposed research must advance our understanding of social processes, structures and methods. NSF also offers a number of specialized funding opportunities through its crosscutting and cross-directorate activities; some of the sociology-related opportunities are listed below. Crosscutting Research & Training Opportunities: ADVANCE: Increasing the Participation and Advancement of Women in Academic Science and Engineering Careers Faculty Early Career Development (CAREER) Program Graduate Research Fellowship Program (GRFP) Major Research Instrumentation (MRI) Program Mid-scale Research Infrastructure Programs SBE Postdoctoral Research Fellowships (SPRF) Research Experiences for Undergraduates (REU) Research at Undergraduate Institutions (RUI) Small Business Innovation Research (SBIR) Program To get information about these programs and others, please visit the  cross-cutting and NSF-wide active funding opportunities  search page. NSF's mission calls for the broadening of opportunities for and expanding participation of groups, institutions and geographic regions that are underrepresented in STEM disciplines, which is essential to the health and vitality of science and engineering. NSF is committed to this principle of diversity and deems it central to the programs, projects and activities it considers and supports.  NSF is also committed to public access to publications and data, unless there are countervailing interests that prohibit or limit public access to data, including matters of personally identifiable information of research participants, privacy or other issues of vulnerability such as economic, social or other security interests, etc.). See  Public Access to Results of NSF-Funded Research  and  Data Management for NSF SBE Directorate Proposals and Awards for more information.

The Economics program supports research designed to improve the understanding of the processes and institutions of the U.S. economy and of the world system of which it is a part. This program also strengthens both empirical and theoretical economic analysis as well as the methods for rigorous research on economic behavior. It supports research in almost every area of economics, including econometrics, economic history, environmental economics, finance, industrial organization, international economics, labor economics, macroeconomics, mathematical economics, and public finance. The Economics program welcomes proposals for individual or multi-investigator research projects, doctoral dissertation improvement awards, conferences, symposia, experimental research, data collection and dissemination, computer equipment and other instrumentation, and research experience for undergraduates. The program places a high priority on interdisciplinary research. Investigators are encouraged to submit proposals of joint interest to the Economics Program and other NSF programs and NSF initiative areas. The program places a high priority on broadening participation and encourages proposals from groups and regions that traditionally have not participated fully in science, mathematics, and engineering. The program also funds conferences and interdisciplinary research that strengthens links among economics and the other social and behavioral sciences as well as mathematics and statistics. The Doctoral Dissertation Research Improvement Grants (DDRIG) funding opportunity is designed to improve the quality of dissertation research. DDRIG proposals are submitted by a faculty member on behalf of the graduate student. DDRIG awards provide funds for items not normally available through the student's university such as enabling doctoral students to undertake significant data-gathering projects and to conduct field research in settings away from their campus. DDRIGs do not provide cost-of-living or other stipends or tuition. Outstanding DDRIG proposals specify how the knowledge to be created advances economics science.  Proposals for Doctoral Dissertation Research Improvement Grants (DDRIGS) in Economics should follow the directions for submissions in the PAPPG . Please contact an Economics program officer if you plan to submit a DDRIG proposal.   For additional funding opportunities, we invite you to also look at the  SBE Office of Multidisciplinary Activities web site .

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) ,   Security and Preparedness (SAP) and Research Infrastructure in the Social and Behavioral Sciences (RISBS) programs.

Many of the most pressing challenges in research and innovation require collaboration across national and disciplinary boundaries to achieve important advances. A growing number of topics are best addressed on a multilateral basis, building partnerships that leverage diverse expertise, data, infrastructure, and perspectives to advance understanding on critical topics of regional or global importance. At the same time, funders, research organizations, and researchers alike typically have limited experience with multilateral partnerships. The Office of International Science and Engineering’s MultiPLEx program seeks to support visionary, and ambitious international multilateral research partnerships that are required to hasten progress in addressing grand challenges by leveraging research excellence in the U.S. and around the globe. The program also seeks to advance understanding of effective multilateral collaboration. MultiPLEx welcomes proposals that Address urgent research and/or societal challenge of global importance (including but not limited to critical and emerging technology research) and require an inherently international multilateral approach to achieve impactful research results, partnering with at least two countries other than the U.S. Proposals that engage partners across distinct geographic regions are an area of interest. Make clear how the proposed international collaboration will enable research advances and broader impacts that go beyond what can be accomplished by a narrower team. Include a diverse group of U.S. institutions and/or individuals, leveraging the full range of talent that society has to offer MultiPLEx funds support the U.S. research team. Research partners should seek funding from their own national funding agencies or from other sources. A typical MultiPLEx award will be up to three years in duration. The MultiPLEX program is not intended to replace existing OISE or directorate programs. Proposals submitted to MultiPLEX must fall outside the scope of existing OISE or directorate programs. Any proposal submitted to MultiPLEx that is not responsive to this Program Description may be transferred to another OISE program or returned without review. OISE may periodically issue a Dear Colleague Letter inviting MultiPLEx proposals in specific priority areas. PIs interested in submitting proposals that do not respond to a DCL are strongly encouraged to consult a MultiPLEx program director prior to submission to confirm appropriateness. Unless specified in a DCL, MultiPLEx proposals may be submitted any time.

Organizations -- private and public, established and entrepreneurial, designed and emergent, formal and informal, profit and nonprofit -- are critical to the well-being of nations and their citizens. They are of crucial importance for producing goods and services, creating value, providing jobs, and achieving social goals. The Science of Organizations (SoO) program funds basic research that yields a scientific evidence base for improving the design and emergence, development and deployment, and management and ultimate effectiveness of organizations of all kinds. SoO funds research that advances our fundamental understanding of how organizations develop, form and operate. Successful SoO research proposals use scientific methods to develop and refine theories, to empirically test theories and frameworks, and to develop new measures and methods. Funded research is aimed at yielding generalizable insights that are of value to the business practitioner, policy-maker and research communities. SoO welcomes any and all rigorous, scientific approaches that illuminate aspects of organizations as systems of coordination, management and governance. In considering whether a particular project might be a candidate for consideration by SoO, please note: Intellectual perspectives may involve (but are not limited to) organizational theory, behavior, sociology or economics, business policy and strategy, communication sciences, entrepreneurship, human resource management, information sciences, managerial and organizational cognition, operations management, public administration, social or industrial psychology, and technology and innovation management. Phenomena studied may include (but are not limited to) structures, routines, effectiveness, competitiveness, innovation, dynamics, change and evolution. Levels of analysis may include (but are not limited to) organizational, cross-organizational collaborations or relationships, and institutional and can address individuals, groups or teams. Research methods may be qualitative and quantitative and may include (but are not limited to) archival analyses, surveys, simulation studies, experiments, comparative case studies, and network analyses. Consistent with NSF merit review criteria, each SoO proposal should discuss both the intellectual merit and the potential broader impacts of the proposed research. SoO values basic research that has the potential to provide broader societal benefits. However, the majority of space in any proposal will need to be dedicated to the explication of theory, methods, and specific contribution to the evidence base about organizational effectiveness. Projects that aim to implement and subsequently evaluate particular organizational training, effectiveness or change programs, rather than to advance fundamental, generalizable knowledge, are not appropriate for SoO. Researchers who seek to conduct SoO-appropriate research in an industrial site and/or via an industry-university collaboration are invited to also look at the Grant Opportunities for Academic Liaisons with Industry (GOALI) program web site .

The Science of Science:Discovery, Communication and Impact (SoS:DCI) program is designed to advance theory and knowledge about increasing the public value of scientific activity. Science of Science draws from multiple disciplinary and field perspectives to advance theory and research about scientific discovery, communication and impact. SoS:DCI welcomes proposals applying rigorous empirical research methods to advance theory and knowledge on: The social and structural mechanisms of scientific discovery. Theories, frameworks, models and data that improve our understanding of scientific communication and outcomes. The societal benefits of scientific activity and how science advances evidence-based policy making and the creation of public value. The SoS:DCI program, which expands upon the formerScience of Science and Innovation Policy (SciSIP)program, funds research that builds theoretical and empirical understanding of the social science of science. SoS:DCI welcomes proposals to conduct research at the individual, organizational and institutional levels or from micro, meso and macro scales and complex system levels. SoS:DCI encourages multiple disciplinary perspectives, interdisciplinary research and diverse methodological approaches in the pursuit of new knowledge to advance the science of science and evidence-based policy making. With these goals in mind, proposals should: Draw from and advance theory, knowledge and frameworks on the science of science. Develop models, data, indicators and associated analytical tools that constitute and enable transformative advances rather than incremental change. Provide credible rigorous assessments of the proposed project’s impact and social and policy implications. Include robust data management plans with the goal of advancing open science and increasing public access to usable, valid and reliable scientific materials. Of particular interest are proposals with the potential to strengthen America’s global leadership in science and increase national competitiveness across a broad range of domains. These include proposals that analyze strategies for strengthening and expanding the scientific workforce, as well as ways to cultivate high-impact discovery across sectors.The program strongly encourages convergent research and collaboration. In addition to intellectual merit, the program strongly encourages potential PIs to carefully consider the broader impacts of their work. The broader impacts criterion encompasses the potential to benefit society and contribute to the achievement of specific, desired policy outcomes.The Social, Behavioral and Economic Sciences Directorate has released additional guidance on broader impacts for SBE proposals . The SoS:DCI program places a high priority on broadening participation in the sciences. It encourages proposals from early-career researchers and from researchers who represent groups and regions that have historically participated at disproportionately low rates in science, mathematics, and engineering. SoS:DCI supports the following types of proposals: Standard Research Grants and Grants for Collaborative Research A Science of Science Approach to Analyzing and Innovating the Biomedical Research Enterprise (SoS:BIO) Conference Grants SoS:DCI also participates in certain specialized funding opportunities through NSF’s cross-cutting and cross-directorate activities .

The Accountable Institutions and Behavior (AIB) Program supports basicscientific 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), Security and Preparedness (SAP) and Research Infrastructure in the Social and Behavioral Sciences (RISBS) programs.

Infrastructure systems comprise complex connections between physical components, organizational structures and operational methods that support the needs of people and communities at the local, regional, national, and global scales. Such systems form the backbone of society, providing essential services as well as ensuring public health and welfare, economic prosperity and national security, and are expected to function under all operational conditions. Meanwhile, infrastructure systems are capital intensive and vulnerable to disruptions from extreme events, including natural disasters, social crises, and malicious attacks. Disruptions in one system can have cascading impacts on others in space and over time. Moreover, short- versus long-term trade-offs, unintended consequences, and maladaptation are not often accounted for. How systems function at the “extreme,” which can be due to disruptors from the introduction of innovation, the convergence of technologies, sudden changes to their utilization and access, dramatic changes in operating environments, and changes to demand during crises are of particular interest. To ensure the efficiency, sustainability, resilience, and fair use of infrastructure systems, it is important to continuously improve and optimize their design, operations, system monitoring and performance assessment in dynamic, uncertain and sometime unknown environments. While functioning at extremes is of interest, the program also supports infrastructure systems research under the full range of operating conditions, across a variety of hazards, and in urban, suburban, and rural communities. The program particularly encourages interdisciplinary and multidisciplinary exploration that will open new research frontiers and significantly expand and transform relevant research communities. The program welcomes research that addresses novel system integration, user-inspired system and service design, data analytics, and socio-technical studies focused on engineering and system innovation during normal and extreme conditions. The program also values innovative research efforts focused on collecting, standardizing, and sharing large-scale databases of real-world infrastructure systems and people-infrastructure interactions during normal and extreme operating conditions, which can be instrumental in providing benchmarks for model verification and validation and for advancing future research innovation in ISP. The ISP program supports research on lifeline systems and communities that contributes to the National Science Foundation’s role in the National Earthquake Hazards Reduction Program (NEHRP) and the National Windstorm Impact Reduction Program (NWIRP). Principal Investigators are encouraged to leverage NSF’s investments in the Natural Hazards Engineering Research Infrastructure (NHERI) experimental, computational modeling and simulation, and data resources (https://www.designsafe-ci.org/) in their research to accelerate advances needed for reducing the impacts of natural hazards on infrastructures and people. While physics-based subject-matter knowledge may be crucial in many research efforts, the program does not support research whose primary methodological contribution focuses on individual infrastructure components without a systems research perspective whose primary methodological focus is on geotechnical and structural engineering, material sciences, architectural engineering, wireless communication and sensor technology, human factors, and/or hydrologic or environmental engineering. Proposers are actively encouraged to email a one-page project summary to the ISP Program Officers before submitting a full proposal for guidance on whether the proposed research topic falls within the scope of the ISP program; this guidance should especially be requested for multi-disciplinary research proposals, and proposals for which research and/or development on the subject infrastructure(s) are also supported by other federal and/or state agencies.

NSF GRANTED supports innovative models of research enterprise administrative development and workforce training infrastructure that promote sustainable research capacity and opportunities for economic impactin U.S. organizations. The research enterprise, broadly defined, includes research development and administration, research analytics, technology transfer and commercialization, corporate relations/public-private partnerships, research integrity, compliance and security, research policy, administration of student research training, and research leadership. Strengthening and transforming this administrative infrastructure is necessary to fully utilize the Nation's research talent and capabilities and empower America's organizations that engage in or support research and its outcomes, to participate in a globally competitive research enterprise. Program Description Maintaining U.S. global leadership demands a research enterprise that is competitive, effective, sustainable a nd contributes to the Nation's economic growth goals. A strong national research enterprise relies on more than funding for the research itself. It also requires robust administrative support-and-service infrastructure, which is often unseen, yet includes critical components to ensure a competitive research environment regardless of organization or location. Research enterprise infrastructure enables the development of proposals and management of awards and supports research translation through technology transfer and public-private partnerships. Research compliance enables the security and integrity of research approaches. Research analytics and communication, managing the training of the U.S. scientific workforce, and harnessing the creativity and drive of research leadership, and more, are also fundamental components of the infrastructure. The GRANTED initiative provides unique opportunities to realize a broad and collaborative vision for research enterprise infrastructure. Proposals in response to this GRANTED program description should engage the professional, administrative research support-and-service workforce in project leadership roles described within proposals.Proposed projects should look beyond individual and discipline-specific research needs and focus on activities that create organization-wide impact and potential for regional and national impact. Projects should propose scalable approaches and models to build and sustain research enterprise infrastructure.Competitive proposals will recognize structural and organizational challenges and include goals to implement interventions, solutions, and/or strategies that will mitigate the challenges. Proposals must be centered around one or more of the three main themes of GRANTED: Innovating and enhancing practices and processes within the research enterprise; Developing and strengthening human capital within the research enterprise; and Translating effective practices related to the research enterprise into a broad range of organizational contexts. The GRANTED program utilizes general proposal requirements, including eligibility, as outlined in the current NSF Proposal and Award Policies and Procedures Guide (PAPPG). Prospective PIs are strongly encouraged to contact GRANTED initiative personnel ( GRANTED@nsf.gov ) with inquiries prior to developing and submitting a proposal to this program description. The project budget and duration should be determined by the scope of the proposed activities and presented in accordance with the PAPPG.GRANTED is not intended to fund discipline-specific STEM research and training projects. Collectively, proposals funded through this Program Description will advance transformation of the national research enterprise, measured through 1) generating scalable models that improve research capacity and competitiveness, 2) creating collaborations, partnerships, and communities centered around strengthening the Nation's research enterprise, 3) increasing the range of project leadership, organizations, ideas, and approaches that NSF funds, especially related to developing areas aligned to agency priorities, and 4) strengthening engagement across the Nation’s research enterprise.

Large-scale simulations and the ability to accumulate massive amounts of data have revolutionized science and engineering. The goal of the Computational and Data-enabled Science and Engineering (CDS&E) meta-program is to identify and capitalize on opportunities for major scientific and engineering breakthroughs through new computational and data-analysis approaches and best practices. The CDS&E meta-program supports projects that harness computation and data to advance knowledge and accelerate discovery above and beyond the goals of the participating individual programs. The intellectual drivers may be in an individual discipline or cut across more than one discipline in various Divisions and Directorates. A CDS&E proposal should enable and/or utilize the development and adaptation of advances in research and infrastructure in computational and data science. The CDS&E meta-program encourages research that pushes the envelope of science and engineering through computation and data, welcoming proposals in any research area supported by the participating divisions. A proposal may address topics that develop or enable interactions among theory, computing, experiment, and observation to achieve progress on hitherto intractable science and engineering problems. Areas of emphasis for CDS&E vary by program. PIs are advised to consult the "related programs" links below before submitting. The CDS&E meta-program is not intended to replace existing programs that support projects involving computation or the analysis of large or complex data sets using established methods. Rather, proposals submitted to the CDS&E meta-program must have a significant component of computational or data science that goes well beyond what would typically be included in these programs.Any proposal submitted to the CDS&E program that is not responsive to this Program Description may be transferred to or reviewed within the context of an individual program. A proposal requesting consideration within the context of CDS&E should begin the title with the identifying acronym "CDS&E:". Supplement requests to existing awards may also be considered. A CDS&E proposal should include substantive science, engineering, or computing research. Algorithm and pilot software development supporting science and engineering may also be appropriate, depending on the program. Proposers who seek to implement proven, existing methods into robust cyberinfrastructure are referred instead to the program on Cyberinfrastructure for Sustained Scientific Innovation (CSSI). A CDS&E proposal should be submitted to one of the "Related Programs" or Divisions by the associated submission window, deadline, or target date listed in the table below. In picking the most relevant program, PIs are advised to read program descriptions and solicitations carefully and consult with cognizant Program Officers before proposal preparation. Proposal submissions outside the receiving program's scientific scope may be transferred to a different program or returned without review. Due Dates Directorate Division and Program Submission Window or Target Date ENG Division of Chemical, Bioengineering, Environmental, and Transport Systems September 01, 2024 - September 16, 2024 September 01- September 15, Annually Thereafter ENG Division of Civil, Mechanical and Manufacturing Innovation September 01, 2024 - September 16, 2024 September 01- September 15, Annually Thereafter MPS Division of Chemistry - Chemical Catalysis (CAT), Chemical Mechanism, Function, and Properties (CMFP), Chemical Synthesis (SYN) September 01, 2024 - September 30, 2024 September 01 - September 30, Annually Thereafter MPS Division of Materials Research October 15, 2024 October 15, Annually Thereafter MPS Division of Astronomical Sciences - Advanced Technologies and Instrumentation October 01, 2024 - November 15, 2024 October 01 - November 15, Annually Thereafter MPS Division of Chemistry - Chemical Measurement and Imaging (CMI), Environmental Chemical Sciences (ECS), and Macromolecular, Supramolecular and Nanochemistry (MSN) October 01, 2024 - October 31, 2024 October 1 - October 31, Annually Thereafter MPS Division of Mathematical Sciences October 15, 2024 - October 31, 2024 October 15 - October 31, Annually Thereafter MPS Division of Astronomical Sciences - Astronomy and Astrophysics Research Grants October 01, 2024 - November 15, 2024 October 01 - November 15, Annually Thereafter MPS Division of Physics: Investigator-Initiated Research Projects – Plasma Physics program November 20, 2024, Third Monday in November, Annually Thereafter MPS Division of Chemistry - Chemistry of Life Processes (CLP), Chemical Structure and Dynamics (CSD), Chemical Theory, Models and Computational Methods (CTMC) Full proposals accepted anytime

The Biosensing program is part of the Engineering Biology and Health cluster, which also includes 1) the Biophotonics program; 2) the Cellular and Biochemical Engineering program; 3) the Disability and Rehabilitation Engineering program; and 4) the Engineering of Biomedical Systems program. The Biosensing program supports fundamental engineering research in the monitoring, identification and/or quantification of biological analytes and phenomena using innovations that exist at the intersection of engineering, life sciences, and information technology. Projects submitted to the program must advance both engineering and life sciences. The Biosensing program encourages proposals that, in addition to advancing biosensing technology, address critical sensor needs in biomedical research, public health, food safety, agriculture, forensics, environmental protection, and homeland security. Proposals are especially encouraged in areas of critical need: sensing technologies that can enable monitoring and surveillance of the environment and/or individuals for novel infectious agents; platform technologies that can readily be modified as soon as new agents are detected, sequenced, and/or otherwise characterized to enable rapid deployment of sensors in clinics and the environment; and adaptive and/or multiplex sensing technologies that can help the nation prevent the spread of the next global pandemic. Major areas of interest for the program include: Novel signal transduction principles and mechanisms that enable sensitive and specific biosensors, suitable for measurements in multiple areas; Design of novel biorecognition elements and appropriately designed transducing systems to enable adaptable and/or reconfigurable operating parameters in response to environmental changes or application needs at levels of device, system, or data analysis; Development of adaptive and/or evolvable biosensing systems for detection of novel target analytes or analytes under novel conditions; Novel synthetic biology approaches for the development of cell-free and cell-based biosensors; and Combining biosensors with artificial intelligence (AI) methods to improve sensor specificity and response time. Innovative ideas outside of the above specific interest areas may be considered. However, prior to submission, it is recommended that the PI contact the program director to avoid the possibility of the proposal being returned without review. The Biosensors program does not encourage proposals addressing circuit design for signal processing and amplification, computational modeling, and microfluidics for sample separation and filtration. Medical imaging-based measurements are outside of the scope of the program interests. Proposals that rely heavily on descriptive approaches are given lower priority. Proposals for optimizing and/or utilizing established methods for specific applications should be directed to programs focused on the application of sensor technology. NOTE: Projects related to water and/or soil quality may be jointly supported with the Environmental Engineering program (CBET 1440). Photonic devices with medical imaging and/or optogenetics should be submitted to the Biophotonics program (CBET 7236). Applications of devices for tissue engineering or organ-on-chip systems should be submitted to the Engineering of Biomedical Systems program (CBET 5345). Basic chemical/biochemical sensing mechanisms should be submitted to the Chemical Measurement and Imaging program (CMI 6880) in the Division of Chemistry. Proposals for dynamic biosensing systems, including circuit design for signal/data processing and amplification, and sensing systems through communication and machine learning should be submitted to the Communications, Circuits, and Sensing-Systems program (CCSS 7564) in the Division of Electrical, Communications, and Cyber Systems. INFORMATION COMMON TO MOST CBET PROGRAMS Proposals should address the novelty and/or potentially transformative nature of the proposed work compared to previous work in the field.Also, it is important to address why the proposed work is important in terms of engineering science, as well as to also project the potential impact on society and/or industry of success in the research.The novelty or potentially transformative nature of the research should be included, as a minimum, in the Project Summary of each proposal. The duration of unsolicited proposal awards in CBET is generally up to three years. Single-investigator award budgets typically include support for one graduate student (or equivalent) and up to one month of PI time per year(awards for multiple investigator projects are typically larger). Proposal budgets that are much larger than typical should be discussed with the program director prior to submission. Proposers can view budget amounts and other information from recent awards made by this program via the ?What Has Been Funded (Recent Awards Made Through This Program, with Abstracts)? link towards the bottom of this page. Faculty Early Career Development(CAREER)program proposals are strongly encouraged.Award duration is five years.The submission deadline for Engineering CAREER proposals is in July every year. Learn more in the CAREER program description . Proposals for Conferences, Workshops, and Supplements: PIs are strongly encouraged to discuss their requests with the program director before submission of the proposal. Grants forRapid Response Research(RAPID)andEArly-concept Grants for Exploratory Research(EAGER)are also considered when appropriate. Please note that proposals of these types must be discussed with the program director before submission. Grant Opportunities for Academic Liaison with Industry (GOALI)proposals that integrate fundamental research with translational results and are consistent with the application areas of interest to each program are also encouraged. Please note that RAPID, EAGER, and GOALI proposals can be submitted anytime during the year. Details about RAPID, EAGER, and GOALI are available in the Proposal & Award Policies & Procedures Guide(PAPPG), Part 1, Chapter II, Section E: Types of Proposals. Compliance: Proposals that are not compliant with the Proposal & Award Policies & Procedures Guide (PAPPG) will be returned without review.