Cyber-Human Systems (CHS) Program

Cyber-Human Systems (CHS) Program is sponsored by National Science Foundation (NSF). Focuses on the integration of human and computational systems to enhance human capabilities and performance in complex environments.

NSF 18-570: Information and Intelligent Systems : Core Programs | NSF - U.S. National Science Foundation Archived funding opportunity This solicitation is archived. 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 18-570: Information and Intelligent Systems (IIS): Core Programs Download the solicitation (PDF, 0.

7mb) National Science Foundation Directorate for Computer and Information Science and Engineering Division of Information and Intelligent Systems Submission Window Date(s) (due by 5 p. m.

submitter's local time): September 24, 2018 - October 02, 2018 September 24, 2018 - October 02, 2018 November 01, 2018 - November 15, 2018 September 09, 2019 - September 16, 2019 September 18, 2019 - September 25, 2019 October 31, 2019 - November 14, 2019 Important Information And Revision Notes This is a revision of NSF 17-572 , the solicitation for the CISE/IIS Core Programs.

The revisions include: The program description for Robust Intelligence has been revised. The Office of Advanced Cyberinfrastructure (OAC) is now part of the coordinated solicitations, along with IIS (this solicitation), Computer and Network Systems (CNS), and Computing and Communication Foundations (CCF).

Broadening Participation in Computing plans are strongly encouraged for Medium and Large proposals, and approved plans are required before award. Proposers are requested not to request start dates between July 2 and September 30 of a given year. Eligibility requirements for PIs, co-PIs, and senior personnel are clarified.

Placement of keywords in the Project Summary is clarified. Evaluation plans are encouraged. The section on Embedded REU Supplements has been removed.

Requests for REU supplements may still be submitted in accordance with applicable NSF Proposal & Award Policies & Procedures Guide (PAPPG) and CISE guidance. Any proposal submitted in response to this solicitation should be submitted in accordance with the revised NSF Proposal & Award Policies & Procedures Guide (PAPPG) ( NSF 19-1 ), which is effective for proposals submitted, or due, on or after February 25, 2019.

Summary Of Program Requirements Information and Intelligent Systems (IIS): Core Programs CISE’s Division of Information and Intelligent Systems (IIS) supports research and education projects that develop new knowledge in three core programs: The Cyber-Human Systems (CHS) program; The Information Integration and Informatics (III) program; and The Robust Intelligence (RI) program.

Proposals in the area of computer graphics and visualization may be submitted to any of the three core programs described above.

Proposers are invited to submit proposals in three project classes, which are defined as follows: Small Projects - up to $500,000 total budget with durations up to three years; Medium Projects - $500,001 to $1,200,000 total budget with durations up to four years; and Large Projects - $1,200,001 to $3,000,000 total budget with durations up to five years. A more complete description of the three project classes can be found in Section II.

Program Description of this document. 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.

William S. Bainbridge, Point of Contact, Cyber-Human Systems (CHS), James Donlon, Point of Contact, Robust Intelligence (RI), Ephraim P.

Glinert, Point of Contact, Cyber-Human Systems (CHS), Tatiana Korelsky, Point of Contact, Robust Intelligence (RI), Sylvia Spengler, Point of Contact, Information Integration and Informatics (III), Kenneth Whang, Point of Contact, Robust Intelligence (RI), Jie Yang, Point of Contact, Robust Intelligence (RI), Maria Zemankova, Point of Contact, Information Integration and Informatics (III), Applicable Catalog of Federal Domestic Assistance (CFDA) Number(s): --- Computer and Information Science and Engineering Anticipated Type of Award: Standard Grant or Continuing Grant Estimated Number of Awards: awards will be made each year.

Anticipated Funding Amount: per year, dependent on the 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 labs, professional societies and similar organizations in the U.S. associated with educational or research activities.

As of the submission deadline, PIs, co-PIs, or other senior project personnel must hold primary, full-time, paid appointments in research or teaching positions at US-based campuses/offices of organizations eligible to submit to this solicitation (see above), with exceptions granted for family or medical leave, as determined by the submitting institution.

Individuals with primary appointments at for-profit, non-academic organizations, or overseas branch campuses of US IHEs are not eligible, even if they also have an appointment at a US campus. Limit on Number of Proposals per Organization: There are no restrictions or limits.

Limit on Number of Proposals per PI or Co-PI: In any contiguous September through November period, an individual may participate as PI, co-PI or Senior Personnel in no more than two proposals across all size classes submitted in response to the coordinated solicitations (where coordinated solicitations are defined to include the Information and Intelligent Systems (IIS): Core Programs , Computer and Network Systems (CNS): Core Programs, Computing and Communication Foundations (CCF): Core Programs, and Office of Advanced Cyberinfrastructure (OAC): Core Programs solicitations).

For example, between September 2018 and November 2018, an individual may participate as PI, co-PI or Senior Personnel in one proposal submitted to a core program in CCF and in a second proposal submitted to a core program in CNS, or an individual may participate as PI, co-PI or Senior Personnel in two proposals submitted to an IIS core program.

These eligibility constraints will be strictly enforced in order to treat everyone fairly and consistently . In the event that an individual exceeds this limit, proposals received within the limit will be accepted based on earliest date and time of proposal submission (i.e., the first two proposals received will be accepted and the remainder will be returned without review). No exceptions will be made.

The limit on the number of proposals per PI, co-PI or Senior Personnel applies only to the coordinated solicitations. Proposal Preparation and Submission Instructions A. Proposal Preparation Instructions Letters of Intent: Not required Preliminary Proposal Submission: Not required Full Proposals submitted via FastLane: 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 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. Submission Window Date(s) (due by 5 p. m.

submitter's local time): September 24, 2018 - October 02, 2018 September 24, 2018 - October 02, 2018 November 01, 2018 - November 15, 2018 September 09, 2019 - September 16, 2019 September 18, 2019 - September 25, 2019 October 31, 2019 - November 14, 2019 Proposal Review Information Criteria National Science Board approved criteria. Additional merit review considerations apply.

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

The Division of Information and Intelligent Systems (IIS) studies the inter-related roles of people, computers, and information.

IIS supports research and education activities that 1) develop new knowledge about the role of people in the design and use of information technology; 2) increase our capability to create, manage, and understand data and information in circumstances ranging from personal remote devices to globally-distributed systems; and 3) advance our understanding of how computational systems can exhibit the hallmarks of intelligence.

IIS supports three core programs as described below. Cyber-Human Systems (CHS) In a world in which computers and networks are increasingly ubiquitous, computing, information, and computation play a central role in how humans work, learn, live, discover, and communicate. Technology is increasingly embedded throughout society, and is becoming commonplace in almost everything we do.

The boundaries between humans and technology are shrinking to the point where socio-technical systems are becoming natural extensions to our human experience – second nature, helping us, caring for us, and enhancing us. As a result, computing technologies and human lives, organizations, and societies are co-evolving, transforming each other in the process.

Cyber-Human Systems (CHS) research explores potentially transformative and disruptive ideas, novel theories, and technological innovations in computer and information science that accelerate both the creation and understanding of the complex and increasingly coupled relationships between humans and technology with the broad goal of advancing human capabilities: perceptual and cognitive, physical and virtual, social and societal.

Advancement can take many forms, and involve diverse computing platforms. These platforms can include “traditional” devices and systems, such as common computers and handheld and mobile devices.

Increasingly, however, the frontier is moving towards cyber-human technologies in the “post-mobile and web” world, including robots, wearables, person-embedded sensors and computers, digital fabrication and programmable matter, virtual and augmented reality, computationally-enabled objects and environments, distributed and networked socio-technical systems, socially intelligent computing, and cloud computing.

These technologies increasingly involve smart objects and systems with increased “agency,” along with other less traditional interfaces, such as systems that interact with users through varied and possibly multiple modalities, including innovative computer or visual displays; haptic, audio, and brain-machine interfaces; and other transformative interaction techniques.

Proposed projects may work at scales ranging from an individual device with a single user; to networked and cloud-based information systems supporting collaborating groups; to large, evolving, heterogeneous socio-technical systems supported by pervasive networking; and to systems that merge the physical and virtual for both places and people.

CHS research advances scientific understanding of computing and communications systems together with theoretical and practical understanding of behavioral, social, and design sciences to better design and develop diverse kinds of systems, such as those that: amplify individual human capabilities through a device or environment that empowers them to improve their performance, achieve their goals, improve well-being, and enhance creative expression while assuring that the computer is no longer a distraction or an obstacle; enrich the abilities, lives, and self-sufficiency of people with disabilities, including people with temporary or situational disabilities; improve the intelligence of increasingly autonomous systems that require varying levels of supervisory control by the human; this includes a more symbiotic relationship between human and machine through the development of systems that can sense and learn the human’s cognitive and physical states while possessing the ability to sense, learn, and adapt in their environments; enhance computing environments, including virtual and/or augmented reality, to enable and improve scientific, engineering, and education production and innovation; augment individuals’ and computers' abilities to work together, to distribute and assimilate information and knowledge as required, to solve previously intractable problems, and to do things collectively that neither could do separately; advance computer facilitated human networks and communications that help teams, groups, organizations, and communities accomplish collective goals; and use computing to advance society's cohesiveness, innovativeness, security, and sustainability.

In addition, CHS research seeks to improve our fundamental understanding of how, and the processes by which, interactive systems should be designed to achieve human-computer symbiosis and computer-mediated human communication, collaboration, and competition.

It explores the designs of socio-technical systems that lead to new ways of perceiving the self, groups, organizations, communities, and society, along with the broader impacts of these designs on both individuals and society. It extends the reach of computing to new communities and furthers understanding of the newly-created communities made possible by computing.

Through partnerships and engagements across diverse and emerging disciplines, CHS research brings novel technology, new perspectives, and new models of inquiry, practice, and scholarship to research and education in computer and information science.

While diverse in approach, CHS research is grounded in theory and rooted in empirical methods to produce broadly applicable and transferable results that advance the knowledge and practice around cyber-human systems. More information on topics of interest to the CHS program is available at: https://www. nsf.

gov/cise/iis/chs_pgm13. jsp Information Integration and Informatics (III) Technological advances have resulted in accelerating increases in size, diversity, and complexity of data in virtually all aspects of human endeavor.

Our ability to gather data of all types greatly outstrips our cognitive capacity to use it, while scientific, technical, and societal advances are increasingly dependent on new insights, theories, and tools to exploit data effectively for timely delivery of relevant and accurate information and for knowledge discovery.

The Information Integration and Informatics (III) program supports research to realize the full transformative potential of data, information, and knowledge in this increasingly digital and interconnected world. III-funded projects may address data of unprecedented scale, complexity, and rate of acquisition, as well as issues of heterogeneity and complexity with innovative approaches and deep insights.

Projects may support the diverse functionalities and processing needs for data, information, and knowledge from disparate and uncoordinated sources, or cope with the changing landscape of computing platforms at scales ranging from small mobile devices to potentially global-scale cloud and networked computing resources.

Successful proposals should demonstrate effectiveness in dimensions such as scalability, interactivity, or scientific, technological, or societal impact. III-funded projects should address contemporary applications of societal importance through advances in information integration and informatics.

Projects may deal with one or more facets of the full knowledge lifecycle, including creation, acquisition, selection, storage, display, and preservation, use, and re-use of data, information, and knowledge for decision-making and action. Ultimately, the deep scientific insights and advanced technologies resulting from III-funded projects will transform the functions and uses of data, information, and knowledge in society.

More information on topics of interest to the III program is available at: https://www. nsf. gov/cise/iis/iii_pgm12.

jsp The Robust Intelligence program (RI) encompasses the broad spectrum of foundational computational research needed to understand and enable intelligent systems in complex, realistic contexts.

Robust intelligence may be characterized by flexibility, resourcefulness, creativity, real-time responsiveness and long-term reflection; use of a variety of representation or reasoning approaches; ability to learn and adapt performance at human levels and beyond; and awareness of and competence in complex environments and social contexts.

Progress in this challenging endeavor requires advances across several computational disciplines that underpin the pursuit of intelligent systems. The RI program accepts research proposals aimed at contributing deeper understanding and new insights in artificial intelligence, computational neuroscience, computer vision, human language technologies, machine learning, and robotics.

Researchers proposing foundational advances in RI research areas are encouraged to list the applicable discipline(s) first among keywords in the Project Summary, followed by descriptive keywords dealing with the specific methods or topics that are the focus of the proposal. Proposals transcending RI disciplinary boundaries and fueling their intellectual co-evolution are highly encouraged.

Such approaches might integrate methods from multiple computational disciplines to contribute foundational advances or other significant new knowledge and insights in robust intelligence.

Advances may address progressively richer environments, larger-scale data and more diverse computing platforms, and more sophisticated computational and statistical approaches, looking to nature, in some cases, to model cognitive and computational processes. Researchers proposing advances through integrative approaches are encouraged to make this clear in the Project Summary and keywords.

Proposals focused on the application and fielding of established methods are not reviewed in this program. More information on topics of interest to the RI program is available at: https://www. nsf.

gov/cise/iis/ri_pgm12. jsp Proposals in the area of computer graphics and visualization should be submitted to the most relevant of the three core programs described above during their submission windows. Proposals submitted to this solicitation must be consistent with one of three project classes defined below.

Proposals will be considered for funding within their project classes. Small Projects , with total budgets up to $500,000 for durations of up to three years , are well suited to one or two investigators (PI and one co-PI or other Senior Personnel) and at least one student and/or postdoc. A collaboration plan (up to 2 pages) may be provided under Supplementary Documents.

Please see Proposal Preparation Instructions Section V. A for additional submission guidelines. Medium Projects , with total budgets ranging from $500,001 to $1,200,000 for durations up to four years, are well suited to one or more investigators (PI, co-PI and/or other Senior Personnel) and several students and/or postdocs.

Medium project descriptions must be comprehensive and well-integrated, and should make a convincing case that the collaborative contributions of the project team will be greater than the sum of each of their individual contributions. Rationale must be provided to explain why a budget of this size is required to carry out the proposed work.

Since the success of collaborative research efforts are known to depend on thoughtful coordination mechanisms that regularly bring together the various participants of the project, a Collaboration Plan is required for any Medium project with more than one investigator , even when the investigators are affiliated with the same institution.

Up to 2 pages are allowed for Collaboration Plans and they must be submitted as a document under Supplementary Documents. The length and level of detail provided in the Collaboration Plan should be commensurate with the complexity of the proposed project.

Collaboration plans and proposed budgets should demonstrate that key personnel, and especially lead PIs, have allocated adequate time for both their individual technical contributions and the leadership of collaborative activities necessary to realize the synergistic effects of larger-scale research. If a Medium project with more than one investigator does not include a Collaboration Plan, that proposal will be returned without review.

Please see Proposal Preparation Instructions Section V. A for additional submission guidelines. Large Projects , with total budgets ranging from $1,200,001 to $3,000,000 for durations of up to five years , are well suited to two or more investigators (PI, co-PI(s), or other Senior Personnel), and a team of students and/or postdocs.

Large project descriptions must be comprehensive and well-integrated, and should make a convincing case that the collaborative contributions of the project team will be greater than the sum of each of their individual contributions. Large projects will typically integrate research from various areas, either within a cluster or across clusters, or tackle ambitious goals not feasible with smaller projects.

Rationale must be provided to explain why a budget of this size is required to carry out the proposed work. Since the success of collaborative research efforts are known to depend on thoughtful coordination mechanisms that regularly bring together the various participants of the project, a Collaboration Plan is required for all Large projects, regardless of the number of investigators.

Up to 2 pages are allowed for Collaboration Plans and they must be submitted as a document under Supplementary Documents. The length and degree of detail provided in the Collaboration Plan should be commensurate with the complexity of the proposed project.

Collaboration plans and proposed budgets should demonstrate that key personnel, and especially lead PIs, have allocated adequate time for both their individual technical contributions and the leadership of collaborative activities necessary to realize the synergistic effects of larger-scale research. If a Large project does not include a Collaboration Plan, that proposal will be returned without review.

Please see Proposal Preparation Instructions Section V. A for additional submission guidelines. PIs should include a plan to evaluate the approaches developed as part of the Project Description.

Evaluation methods will depend on the research area; examples include results from development of theories, applications of techniques to specific domains, efficacy studies, scalability on local or global scales, generalization, quantifiable usability, robustness, reliability in benign or hostile environments, compatibility with existing environments, performance measures on benchmark datasets, and other such activities.

The plan should be appropriate for the size and scope of the project. CISE has long been committed to Broadening Participation in Computing (BPC).

The underrepresentation of many groups -- including women, African Americans, Hispanics, American Indians, Alaska Natives, Native Hawaiians, Native Pacific Islanders, and persons with disabilities -- in computing deprives large segments of the population of the opportunity to be creators of technology and not only customers.

Ending underrepresentation will require a range of measures, including institutional programs and activities as well as culture change across colleges, departments, classes, and research groups. Each Medium and Large project must, by the time of award, have in place an approved BPC plan.

In this ongoing pilot phase, CISE will work with each PI team following merit review and prior to making an award to ensure that plans are meaningful and include concrete metrics for success. CISE will also provide opportunities for PIs to share BPC experiences and innovations through program PI meetings.

PIs of Medium and Large proposals are therefore strongly encouraged to consider this eventual requirement as they develop their proposals, and to include one- to three-page descriptions of their planned BPC activities under Supplementary Documents in their submissions. Feedback will be provided on such plans.

PIs submitting to the Small size class should note that CISE intends to conduct an evaluation of the effectiveness of the above approach and determine appropriate next steps, including potential further expansion of this effort in future years. PIs of Small proposals are therefore strongly encouraged to include plans, or begin preparing to include plans, for broadening participation activities in their proposals.

More information, including examples of BPC activities and metrics, can be found at: https://www. nsf. gov/cise/bpc/ .

Proposals that intersect more than one CISE research program are welcome. In such cases, PIs must identify the most relevant programs in the proposal submission process (for information about submission and how to identify such proposals, see Proposal Preparation Instructions later in this document). CISE Program Officers will ensure that these proposals are co-reviewed as appropriate.

The submission of far-reaching, creative research and education projects is encouraged. Funds will be used to support potentially transformative research with high-impact potential. In this way, CISE will catalyze exciting new research activities with the potential to make significant advances in the state-of-the-art.

Interdisciplinary, international and/or academic-industry collaborations that promise to result in major science or engineering advances are welcome. The directorate hopes to attract proposals from faculty at a broad range of academic institutions, including faculty at minority-serving and predominantly undergraduate institutions.

Proposals submitted should demonstrate that rich learning experiences will be provided for a diverse population of students, and may propose the development of innovative curricula or educational materials that advance literacy about and expertise in areas supported by CISE. Scientific progress often results by considering a special case of a general problem.

If the proposed research falls into this category, PIs can help the reviewers and NSF staff better understand the intellectual merit and/or broader impacts of the proposal by discussing to what extent the findings are likely to generalize.

In the interest of completeness and transparency, PIs are strongly encouraged to describe, as part of their Data Management Plans, how they will provide access to well-documented datasets, modeling and/or simulation tools, and codebases to support reproducibility of their methods.

For more information, see the Dear Colleague Letter “Encouraging Reproducibility in Computing and Communications Research” available at https://www. nsf. gov/publications/pub_summ.

jsp? ods_key=nsf17022 . In order to avoid overdue reports blocking award actions during the end of a fiscal year, institutions are discouraged from seeking project start dates between July 2 and September 30 of a given year.

Awardee institutions may incur allowable pre-award costs within the 90-day period immediately preceding the start date of the grant subject to the conditions specified in the PAPPG; this will allow support for students or other relevant activities to begin over this period. Up to $100 million each year will support up to 200 awards, pending the availability of funds. 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 labs, professional societies and similar organizations in the U.S. associated with educational or research activities.

As of the submission deadline, PIs, co-PIs, or other senior project personnel must hold primary, full-time, paid appointments in research or teaching positions at US-based campuses/offices of organizations eligible to submit to this solicitation (see above), with exceptions granted for family or medical leave, as determined by the submitting institution.

Individuals with primary appointments at for-profit, non-academic organizations, or overseas branch campuses of US IHEs are not eligible, even if they also have an appointment at a US campus. Limit on Number of Proposals per Organization: There are no restrictions or limits.

Limit on Number of Proposals per PI or Co-PI: In any contiguous September through November period, an individual may participate as PI, co-PI or Senior Personnel in no more than two proposals across all size classes submitted in response to the coordinated solicitations (where coordinated solicitations are defined to include the Information and Intelligent Systems (IIS): Core Programs , Computer and Network Systems (CNS): Core Programs, Computing and Communication Foundations (CCF): Core Programs, and Office of Advanced Cyberinfrastructure (OAC): Core Programs solicitations).

For example, between September 2018 and November 2018, an individual may participate as PI, co-PI or Senior Personnel in one proposal submitted to a core program in CCF and in a second proposal submitted to a core program in CNS, or an individual may participate as PI, co-PI or Senior Personnel in two proposals submitted to an IIS core program.

These eligibility constraints will be strictly enforced in order to treat everyone fairly and consistently . In the event that an individual exceeds this limit, proposals received within the limit will be accepted based on earliest date and time of proposal submission (i.e., the first two proposals received will be accepted and the remainder will be returned without review). No exceptions will be made.

The limit on the number of proposals per PI, co-PI or Senior Personnel applies only to the coordinated solicitations. Additional Eligibility Info: Subawards are not permitted to overseas branch campuses/offices of US-based proposing organizations eligible to submit to this solicitation. 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 FastLane, Research. gov, or Grants.

gov. Full proposals submitted via FastLane: Proposals submitted in response to this program solicitation should be prepared and submitted in accordance with the general guidelines contained in the NSF Proposal & Award Policies & 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) 292-7827 or by e-mail from nsfpubs@nsf. gov . Proposers are reminded to identify this program solicitation number in the program solicitation block on the NSF Cover Sheet For Proposal to the National Science Foundation.

Compliance with this requirement is critical to determining the relevant proposal processing guidelines. Failure to submit this information may delay processing. 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) 292-7827 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) 292-7827 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 the NSF FastLane system. PAPPG Chapter II. D.

3 provides additional information on collaborative proposals. See PAPPG Chapter II. C.

2 for guidance on the required sections of a full research proposal submitted to NSF. Please note that the proposal preparation instructions provided