Collaborative Research in Computational Neuroscience (CRCNS) NSF 24-510

Collaborative Research in Computational Neuroscience (CRCNS) NSF 24-510 is sponsored by National Science Foundation (NSF) (across multiple directorates including OISE). The CRCNS program involves multiple NSF directorates and may involve additional agencies within the U.

NSF 24-510: Collaborative Research in Computational Neuroscience (CRCNS) | NSF - U.S. National Science Foundation Not currently accepting proposals This program is awaiting a new solicitation and is not currently accepting proposals.

Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements . All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects.

NSF 24-510: Collaborative Research in Computational Neuroscience (CRCNS) Innovative Approaches to Science and Engineering Research on Brain Function Posted: December 11, 2023 To save a PDF of this solicitation, select Print to PDF in your browser's print options.

National Science Foundation Directorate for Computer and Information Science and Engineering Directorate for Biological Sciences Directorate for Social, Behavioral and Economic Sciences Directorate for Mathematical and Physical Sciences Directorate for Engineering Office of International Science and Engineering National Institutes of Health National Institute of Neurological Disorders and Stroke National Institute of Mental Health National Institute on Drug Abuse National Institute on Deafness and Other Communication Disorders National Institute of Biomedical Imaging and Bioengineering National Institute on Alcohol Abuse and Alcoholism National Center for Complementary and Integrative Health National Institute on Aging Eunice Kennedy Shriver National Institute of Child Health and Human Development Office of Science, Office of Advanced Scientific Computing Research Federal Ministry of Education and Research, Germany French National Research Agency United States-Israel Binational Science Foundation National Institute of Information and Communications Technology, Japan State Research Agency, Spain Full Proposal Deadline(s) (due by 5 p.

m.

submitter's local time): Deadline for FY 2024 competition Deadline for FY 2025 competition Deadline for FY 2026 competition Important Information And Revision Notes This solicitation extends the Collaborative Research in Computational Neuroscience program for three years, with the following modifications: The introduction and program description, including the description of scientific topics and approaches, have been updated in Sections I and II of this solicitation; Cloud computing and high-throughput computing resources may be requested for new proposals and for active awards; Agency contacts, agency-specific instructions, and allowable multilateral proposals have been updated in Section VIII of this solicitation; Information on Results from Prior Support is required for each PI or co-PI who has received funding from any of the CRCNS participating funding organizations within the past five years; note that sharing of data, software, and/or other resources under prior support must be addressed; Letters of collaboration must conform to the format described in Section V.

A. of this solicitation; Proposers are advised to review agency-specific budget limitations described in Sections III and VIII of this solicitation. Proposals with budget requests exceeding applicable limits may be returned without review; and A proposal preparation checklist, supplementing the checklist provided in the PAPPG, is provided at the end of Section V.

A. of this solicitation. Any proposal submitted in response to this solicitation should be submitted in accordance with the NSF Proposal & Award Policies & Procedures Guide (PAPPG) that is in effect for the relevant due date to which the proposal is being submitted.

The NSF PAPPG is regularly revised and it is the responsibility of the proposer to ensure that the proposal meets the requirements specified in this solicitation and the applicable version of the PAPPG. Submitting a proposal prior to a specified deadline does not negate this requirement.

Summary Of Program Requirements Collaborative Research in Computational Neuroscience (CRCNS) Innovative Approaches to Science and Engineering Research on Brain Function Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding the nervous system at all levels, building on the theory, methods, and findings of computer science, neuroscience, and numerous other disciplines to accelerate the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.

Through the CRCNS program, the participating funding organizations support collaborative activities that span a broad spectrum of computational neuroscience research, as appropriate to the missions and strategic objectives of each agency.

Two classes of proposals will be considered in response to this solicitation: Research Proposals describing collaborative research projects, and Data Sharing Proposals to support sharing of data and other resources. Domestic and international projects will be considered, including proposals seeking parallel international funding.

As detailed in the solicitation, opportunities for parallel funding are available for bilateral US-German, US-French, US-Israeli, US-Japanese, and US-Spanish projects, and multilateral projects involving the United States and two or more CRCNS partner countries (see Section VIII of the solicitation for country-specific limitations).

Collaborating PIs from outside of the United States are referred to Section VIII of this solicitation for further instructions from the appropriate partner funding agency. Questions concerning a particular project's focus, direction, and relevance to a participating funding organization should be addressed to the appropriate person in the list of agency contacts in Section VIII of the solicitation.

NSF will coordinate and manage the review of proposals jointly with participating domestic and foreign funding organizations, through a joint panel review process used by all participating funders. Additional information is provided in Section VI of the solicitation. Cognizant Program Officer(s): Please note that the following information is current at the time of publishing.

See program website for any updates to the points of contact. Dwight Kravitz, CRCNS Program Coordinator, telephone: (703) 292-4502, email: dkravitz@nsf. gov Julia Hagen, CRCNS Administrative Coordinator, telephone: (703)292-8700, email: jhagen@nsf.

gov Applicable Catalog of Federal Domestic Assistance (CFDA) Number(s): 47. 049 --- Mathematical and Physical Sciences 47. 070 --- Computer and Information Science and Engineering 47.

074 --- Biological Sciences 47. 075 --- Social Behavioral and Economic Sciences 47. 079 --- Office of International Science and Engineering 81.

049 --- Office of Science Financial Assistance Program 81. 049 --- Office of Science Financial Assistance Program 93. 173 --- National Institute on Deafness and Other Communication Disorders 93.

213 --- National Center for Complementary and Integrative Health 93. 242 --- National Institute of Mental Health 93. 273 --- National Institute on Alcohol Abuse and Alcoholism 93.

279 --- National Institute on Drug Abuse 93. 286 --- National Institute of Biomedical Imaging and Bioengineering 93. 853 --- National Institute of Neurological Disorders and Stroke 93.

865 --- Eunice Kennedy Shriver National Institute of Child Health and Human Development 93. 866 --- National Institute on Aging 93.

867 --- National Eye Institute Anticipated Type of Award: Standard Grant or Continuing Grant Estimated Number of Awards: 20 to 30 Anticipated Funding Amount: $5,000,000 to $30,000,000 per year, subject to availability of funds Who May Submit Proposals: Proposals may only be submitted by the following: Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.

Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.

Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation.

U.S. Department of Energy National Laboratories are eligible to submit proposals in response to this solicitation. There are no restrictions or limits. Limit on Number of Proposals per Organization: There are no restrictions or limits.

Limit on Number of Proposals per PI or co-PI: 2 In response to this solicitation, an investigator may participate as PI or co-PI in no more than two proposals per review cycle. In the event that a PI or co-PI does appear in either of these roles on more than two proposals, all proposals that include that person as a PI or co-PI will be returned without review.

This limit applies to all PIs and co-PIs, based inside or outside of the United States. Proposal Preparation and Submission Instructions A. Proposal Preparation Instructions Letters of Intent: Not required Preliminary Proposal Submission: Not required Full Proposals submitted via Research.

gov: NSF Proposal and Award Policies and Procedures Guide (PAPPG) guidelines apply. The complete text of the PAPPG is available electronically on the NSF website at: https://www. nsf.

gov/publications/pub_summ. jsp? ods_key=pappg .

Full Proposals submitted via Grants. gov: NSF Grants. gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants.

gov guidelines apply (Note: The NSF Grants. gov Application Guide is available on the Grants. gov website and on the NSF website at: https://www.

nsf. gov/publications/pub_summ. jsp?

ods_key=grantsgovguide ). Cost Sharing Requirements: Inclusion of voluntary committed cost sharing is prohibited. Indirect Cost (F&A) Limitations: Other Budgetary Limitations: Other budgetary limitations apply.

Please see the full text of this solicitation for further information. Full Proposal Deadline(s) (due by 5 p. m.

submitter's local time): Deadline for FY 2024 competition Deadline for FY 2025 competition Deadline for FY 2026 competition Proposal Review Information Criteria National Science Board approved criteria. Additional merit review criteria apply. Please see the full text of this solicitation for further information.

Award Administration Information Additional award conditions apply. Please see the full text of this solicitation for further information. Standard NSF reporting requirements apply.

Computational neuroscience provides a theoretical foundation and a rich set of technical approaches for understanding the principles and dynamics of the nervous system at all levels.

Building on the theory, methods, and findings of computer science, neuroscience, biology, the mathematical and physical sciences, the social and behavioral sciences, engineering, and other fields, computational neuroscience embraces a wide range of innovative approaches to accelerate the understanding of nervous system structure and function, mechanisms underlying nervous system disorders, and computational strategies used by the nervous system.

Furthering these advances, collaboration plays a pivotal role. Collaborative research enables investigators with complementary experience and training, and deep understanding of multiple scholarly fields, to tackle otherwise intractable scientific and technical challenges.

Close collaborations enable dynamic development and refinement of models, theories, and analytical or experimental methods, and in-depth interdisciplinary exchange and training.

Sharing of data, models, software, and other resources facilitates collaboration at a larger scale, enabling integration and re-use of data and code, development and training of models, rigorous evaluation of models and methods, and alignment of efforts across research communities.

International collaborations offer unique opportunities to further expand research perspectives and partnerships, and to develop a community of globally engaged scientists and engineers.

Through the Collaborative Research in Computational Neuroscience (CRCNS) program, the U.S. National Science Foundation (NSF), National Institutes of Health (NIH), and Department of Energy (DOE); the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF); the French National Research Agency (Agence Nationale de la Recherche, ANR); the United States-Israel Binational Science Foundation (BSF); Japan’s National Institute of Information and Communications Technology (NICT); and the Spanish State Research Agency (Agencia Estatal de Investigación, AEI) support collaborative activities spanning a broad spectrum of computational neuroscience research, as appropriate to the missions and strategic objectives of each agency.

The participating funding organizations have released parallel documents with further agency-specific information, referenced in Section VIII of this solicitation. Following from the above motivations, two classes of proposals will be considered in response to this solicitation: Research Proposals describing collaborative research projects, and Data Sharing Proposals to support sharing of data and other resources.

Domestic and international projects will be considered, including proposals seeking parallel international funding as detailed in Sections V. A. and VIII of this solicitation.

Research Proposals should describe innovative, collaborative projects focused on challenging interdisciplinary problems in computational neuroscience.

The scope of computational neuroscience is defined inclusively, encompassing structure, function, organization, and computation across all levels of the nervous system, and including theory, modeling, and analysis, disease and normal function, and implications for biological as well as engineered systems. Collaborative efforts are required. No particular combination of disciplinary backgrounds or scientific approaches is prescribed.

Proposers should determine and convincingly demonstrate the complementary expertise and close collaborations needed to make significant interdisciplinary advances. Examples of potential approaches and topics are given at the end of this section. Proposals selected for funding by this program must be responsive to the mission of a participating funding organization.

Questions concerning a particular project's focus, direction, and relevance to a participating funding organization should be addressed to the appropriate person in the list of agency contacts in Section VIII of this solicitation.

Data Sharing Proposals should focus on the preparation and deployment of data, software, code bases, stimuli, models, or other resources in a manner that will enable wide-ranging research advances in computational neuroscience.

Data sharing projects are expected to respond to the needs of an identified broad community of researchers, representing any of the scientific areas that would be appropriate for Research Proposals under this solicitation. The major innovation of a data sharing project could relate to the breadth, depth, or importance of the resources being shared.

Technical innovations and novel approaches to community development and continuous improvement are encouraged as needed to maximize the effectiveness and impact of shared resources. Support for data sharing under this solicitation focuses primarily on data and other resources, not more general infrastructure development, or research to acquire the data.

Proposers of data sharing projects are strongly encouraged to build on existing facilities and services where possible. A significant data sharing effort may also be proposed as a major component of a Research Proposal. All CRCNS investigators are encouraged to coordinate with other data sharing projects and related activities, including national and international efforts to develop sustainable, extensible neuroscience resources.

Innovative educational and training opportunities are strongly encouraged in all CRCNS proposals to develop research capacity in computational neuroscience, broaden participation in research and education, and increase the impact of computational neuroscience research. Activities at all levels of educational and career development are welcome under this solicitation.

International research experiences for students and early-career researchers, described in terms of explicit plans and goals, are strongly encouraged in all projects involving international collaborations. A broad range of approaches and topics is welcome under this solicitation. The list of examples below illustrates some areas of research that are appropriate under this solicitation.

The following list is not intended to be exhaustive or exclusive : Explanatory, predictive, and informative models and simulations of normal and abnormal structures and functions of the nervous system and related disorders; Mathematical, statistical, and other quantitative analyses of research related to genetic, epigenetic, molecular, sub-cellular, cellular, network, systems, behavioral, and/or cognitive neuroscience; Theoretical and computational approaches to delineate and understand the structures and functions of neural circuits and networks; High-Performance Computing (HPC) enabled modeling and simulation approaches for extreme-scale research and understanding; Theoretical and computational approaches that relate nervous system processes to learning algorithms and architectures, probabilistic representations, estimation, prediction, information theory, and inference; Data-driven and informatics-based approaches that exploit large-scale, high-throughput, heterogeneous, and/or complex data; Theory and algorithms for designing experiments and integrating and analyzing data related to imaging, electrophysiological, optogenetic, multi-omic, and other methods; Artificial intelligence and machine learning (AI/ML) approaches that provide new insights into neural data, neural systems, and behavior, and neuroscience that can inform AI/ML; Methods combining AI/ML, statistics, dynamical systems, and/or control theory; Modeling approaches that efficiently assimilate new information, apply existing knowledge to new data, or optimize new data acquisition or closed-loop system performance; Computational strategies for human neuroscience that reduce model bias towards underrepresented groups and improve data coverage, access, equity, and fairness; Computational models examining the mechanisms whereby social determinants of health interact with biological factors, including genetics, to influence risk or resilience for diseases in the nervous system; Methods for measuring and analyzing connectivity, dynamics, information, and causation in neural systems; Integration and modeling of data across levels of analysis, from molecular to circuit level mechanisms implicated with behavior; Explanatory models of spatiotemporal brain dynamics across multiple scales; Approaches that integrate neural and cognitive models; Data-intensive approaches to modeling and analysis, and integrated theory- and data-driven models at different levels of abstraction; Theoretical and computational methods that can be applied to: common pathways, circuits, and mechanisms underlying multiple diseases in the nervous system; integrating brain measures across levels of analysis; and translational research; and Computational approaches in translational research aimed at addressing one or more phases (e.g., target identification) of drug discovery for nervous system disorders, including mechanistic neurobiological models of drug target engagement.

Examples of topics amenable to these approaches include but are not limited to the following: Neurodevelopment, neurodegeneration, neuroinflammation and repair; Pattern recognition and perception, learning, representation, and encoding; Motor control mechanisms and sensorimotor integration; Cognitive and decision-making functions and dysfunction (including, e.g., impulse control and disinhibition, and addiction, broadly construed); Neural origins of risk and time preference; Judgment, choice formation, and social-behavioral phenomena such as trust, competitiveness, and cooperation, including the role of emotion; Language and communication; Intellectual and developmental disabilities; Neural interface decoding and analysis, control, and modeling of processes affecting neural interfaces and neuroprostheses; Application of knowledge of brain computation to devices; Normal and abnormal sensory processing (vision, audition, olfaction, taste, balance, proprioception, and somatic sensation); Neural mechanisms of adaptation to environmental constraints or disease; Neurological, neuromuscular, and neurovascular disorders; Mental health, mental illness, and related disorders; Alcohol and substance use disorders, including their interaction with eating disorders and other psychiatric and neurological disorders, and the effects of these conditions on cognitive processes; Emergent and state-space properties of dynamic neural networks and ensembles; and Modulation of central and/or peripheral neural processes by complementary and integrative health approaches.

Cloud Computing and High-Throughput Computing Resources (for new proposals and for active funded awards): Many CRCNS projects face data- and computationally-intensive challenges that may benefit from accessing cloud computing or high-throughput computing resources, which provide robust, agile, reliable, and scalable infrastructure.

The Cloud Access Program (NSF) and the STRIDES Initiative (NIH) have established partnerships with commercial cloud service providers to provide awardees with cost-effective, flexible access to cloud-based resources. The Partnership to Advance Throughput Computing ( PATh ) facilitates access to distributed high throughput computing technologies and services.

The US PIs of new proposals or active funded awards may request these resources according to the instructions at the end of Section V. A. of this solicitation.

Community Input: The participating funders encourage interdisciplinary, community-driven efforts to map out new frontiers at the interface of neuroscience and other disciplines that could reshape brain research and its applications. Inquiries regarding potential workshops, synthesis papers, or similar activities may be sent to brain-frontiers@nsf. gov and/or the agency contacts listed in Section VIII of this solicitation.

It is anticipated that a minimum of $5 million will be available each year for this competition, with potentially $20 to $30 million annually, depending on the quality of proposals and availability of funds.

Award sizes for CRCNS projects (including all CRCNS-funded project components, inside and outside of the United States) have typically ranged from approximately $100,000 to $250,000 (USD) per year in direct costs, with durations of three to five years. Proposers contemplating projects with higher budget requirements (e.g., multilateral projects) are advised to consult in advance with the CRCNS Program Coordinator-NSF.

Additional agency-specific limitations, including maximum award budgets and durations , are described in Section VIII of this solicitation. All proposers are advised to review the additional limitations that apply to projects funded by the U.S. Department of Energy and National Institutes of Health and, if applicable, funding limitations specified by other national funding organizations from which parallel funding is requested.

Proposals with budget requests exceeding applicable limits may be returned without review. Estimated program budget, number of awards, and average award size and duration are subject to the availability of funds. Upon conclusion of the review process, meritorious research proposals may be recommended for funding by one or more of the participating funding organizations, at the option of the funders, not the proposer.

Subsequent grant administration procedures will be in accordance with the individual policies of the awarding agency. Further information about agency processes and agency-specific award information is provided in Section VI. B.

and Section VIII of this solicitation. IV. Eligibility Information Who May Submit Proposals: Proposals may only be submitted by the following: Institutions of Higher Education (IHEs) - Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.

Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.

Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities. For-profit organizations: U.S.-based commercial organizations, including small businesses, with strong capabilities in scientific or engineering research or education and a passion for innovation.

U.S. Department of Energy National Laboratories are eligible to submit proposals in response to this solicitation. There are no restrictions or limits. Limit on Number of Proposals per Organization: There are no restrictions or limits.

Limit on Number of Proposals per PI or co-PI: 2 In response to this solicitation, an investigator may participate as PI or co-PI in no more than two proposals per review cycle. In the event that a PI or co-PI does appear in either of these roles on more than two proposals, all proposals that include that person as a PI or co-PI will be returned without review.

This limit applies to all PIs and co-PIs, based inside or outside of the United States. Additional Eligibility Info: Proposal Limit: Proposals submitted in response to this solicitation may not duplicate or be substantially similar to other proposals concurrently under consideration by other programs or study sections of the participating agencies. Duplicate or substantially similar proposals will be returned without review.

V. Proposal Preparation And Submission Instructions A. Proposal Preparation Instructions Full Proposal Preparation Instructions : Proposers may opt to submit proposals in response to this Program Solicitation via Research.

gov or Grants. gov. Full Proposals submitted via Research. gov: Proposals submitted in response to this program solicitation should be prepared and submitted in accordance with the general guidelines contained in the NSF Proposal and Award Policies and Procedures Guide (PAPPG).

The complete text of the PAPPG is available electronically on the NSF website at: https://www. nsf. gov/publications/pub_summ.

jsp? ods_key=pappg . Paper copies of the PAPPG may be obtained from the NSF Publications Clearinghouse, telephone (703) 292-8134 or by e-mail from nsfpubs@nsf.

gov . The Prepare New Proposal setup will prompt you for the program solicitation number. Full proposals submitted via Grants.

gov: Proposals submitted in response to this program solicitation via Grants. gov should be prepared and submitted in accordance with the NSF Grants. gov Application Guide: A Guide for the Preparation and Submission of NSF Applications via Grants.

gov . The complete text of the NSF Grants. gov Application Guide is available on the Grants.

gov website and on the NSF website at: ( https://www. nsf. gov/publications/pub_summ.

jsp? ods_key=grantsgovguide ). To obtain copies of the Application Guide and Application Forms Package, click on the Apply tab on the Grants.

gov site, then click on the Apply Step 1: Download a Grant Application Package and Application Instructions link and enter the funding opportunity number, (the program solicitation number without the NSF prefix) and press the Download Package button. Paper copies of the Grants. gov Application Guide also may be obtained from the NSF Publications Clearinghouse, telephone (703) 292-8134 or by e-mail from nsfpubs@nsf.

gov . In determining which method to utilize in the electronic preparation and submission of the proposal, please note the following: Collaborative Proposals. All collaborative proposals submitted as separate submissions from multiple organizations must be submitted via Research.

gov. PAPPG Chapter II. E. 3 provides additional information on collaborative proposals.

See PAPPG Chapter II. D. 2 for guidance on the required sections of a full research proposal submitted to NSF.

Please note that the proposal preparation instructions provided in this program solicitation may deviate from the PAPPG instructions. The following information supplements the PAPPG and the NSF Grants. gov Application Guide.

Proposals submitted in response to this solicitation should be prepared according to the general guidelines contained in the PAPPG, as modified by the following additional specific instructions for Research Proposals or Data Sharing Proposals .

Additional instructions for International Proposals Seeking Parallel Funding apply only to proposals for projects involving collaborations among organizations in the United States and organizations in other countries, to be funded in parallel by participating agencies of the corresponding countries.

Proposals involving other types of international collaboration may also be submitted, for consideration under standard U.S. funding mechanisms. Proposers are advised to discuss such projects with the appropriate agency contact(s) before submitting.

The instructions for specific classes of proposals are cumulative, as indicated in the table below: If you are applying for the following class of proposal: Refer to the following instructions: NSF Proposal & Award Policies & Procedures Guide (PAPPG) CRCNS Proposal Preparation Instructions (Section V. A.) for...

CRCNS Agency-Specific Information including budget limitations (Section VIII) for...

International Proposals Seeking Parallel Funding AEI, ANR, BMBF, BSF, NICT US-Germany, US-France, US-Israel, US-Japan, US-Spain, or Multilateral Research Proposal US-Germany, US-France, US-Israel, US-Japan, US-Spain, or Multilateral Data Sharing Proposal The following additional instructions apply to all Research Proposals submitted in response to this solicitation.

If the proposal seeks parallel funding for an international collaboration, please also refer to the instructions below for International Proposals Seeking Parallel Funding. Title: Titles for research proposals should begin with the phrase, “CRCNS Research Proposal:” Additional title prefixes (e.g., “Collaborative Research:” or “RUI:”) may be included as applicable.

Although all CRCNS Research Proposals must describe scientific collaborations involving two or more investigators, they do not need to be collaborative proposals in the administrative sense, i.e., separately submitted proposals from multiple organizations seeking US funding on a unified project. (See PAPPG Chapter II. E.

3. for more information.) Project Summary: The project summary should convey both the interdisciplinary problem(s) of interest and the methods to be employed.

For projects with medical relevance, the statement on broader impacts should include a summary of the project's potential contributions to understanding, preventing, and managing disease, and enhancing public health.

Proposers requesting cloud computing and/or high-throughput computing resources as part of the proposal should include the keyword “CloudAccess” and/or “HTCAccess” (one word without space) at the end of the Overview section (before the section on Intellectual Merit).

Project Description: In addition to the guidance specified in the PAPPG, including the requirement for a separate section labeled “Broader Impacts,” Project Descriptions for research projects must include a Coordination Plan. Up to two additional pages are permitted in the Project Description for this purpose only, allowing a maximum of 17 pages total.

The Coordination Plan must include: 1) the specific roles of the collaborating PIs, co-PIs, other Senior Personnel and paid consultants at all organizations involved; 2) how the project will be managed across organizations and disciplines; 3) identification of the specific coordination mechanisms that will enable cross-organization and/or cross-discipline scientific integration (e.g., workshops, graduate student exchange, project meetings at conferences, communication tools, software repositories, etc.), and 4) specific references to the budget line items that support these coordination mechanisms.

Information on Results from Prior Support is required for each PI or co-PI identified on the project who has received funding from any of the CRCNS participating funding organizations with an end date in the past five years, or any current funding, including no-cost extensions. Sharing of data, software, and/or other resources under prior support must be addressed.

In cases where the PI or any co-PI has received more than one award (excluding amendments to existing awards), they need only report on the one award that is most closely related to the proposal. For recipients of BSF funding, the prior reporting requirement applies only to funding through NSF-BSF joint programs, not the BSF regular research programs.

If the Project Description, excluding the Coordination Plan, exceeds 15 pages, or is missing required information on Results from Prior Support, the proposal will be returned without review.

Supplementary Documents: Supplementary documents are limited to the specific types of documentation listed in the PAPPG or other applicable solicitation guidance (e.g., Facilitating Research at Primarily Undergraduate Institutions ), with the following exceptions: Human Subjects Protection.

Proposals involving human subjects should include a supplementary document, no more than two pages in length, summarizing potential risks to human subjects; plans for recruitment and informed consent; inclusion of women, minorities, and children; and planned procedures to protect against or minimize potential risks.

Only one Human Subjects Protection document, covering all collaborative components of the project within the two-page limit, may be submitted per project. Vertebrate Animals.

Proposals involving vertebrate animals should include a supplementary document, no more than two pages in length, that addresses the following points: Detailed description of the proposed use of the animals, including species, strains, ages, sex, and number to be used; Justification for the use of animals, choice of species, and numbers to be used; Description of procedures for minimizing discomfort, distress, pain, and injury; and Method of euthanasia and the reasons for its selection.

Only one Vertebrate Animals document, covering all collaborative components of the project within the two-page limit, may be submitted per project. Data Management Plan. All proposals must include a supplementary document on data management as specified in the PAPPG and CISE Guidance for Data Management Plans ( https://www.

nsf. gov/cise/cise_dmp. jsp ).

As needed, the Data Management Plan should also address possible differences between U.S. and applicable non-U.S. data protection requirements. Only one Data Management Plan, covering all collaborative components of the project within the two-page limit, may be submitted per project. Costs associated with Data Management Plans (e.g., for making data accessible and reusable for other researchers) may be included in the proposal budget.

Letters of Collaboration. Letters to