The National Science Foundation invites interested parties to participate in a new endeavor, the NSF Convergence Accelerator (NSF C-Accel) Pilot.; April 15, 2019

With this DCL, NSF's goals are to: (i) pilot a new NSF capability (the NSF Convergence Accelerator) to accelerate use-inspired convergence research in areas of national importance, and (ii) initiate convergence team-building capacity around exploratory, potentially high-risk proposals in three convergence topics (tracks).

NSF C-Accel brings teams together to focus on grand challenges of national importance that require a convergence approach. The teams are multidisciplinary and leverage partnerships; the tracks relate to a grand challenge problem and have a high probability of resulting in deliverables that will benefit society within a fixed term. NSF C-Accel is modeled on acceleration and innovation activities from the most forward-looking companies and universities. The NSF C-Accel Pilot intends to support fundamental research while encouraging rapid advances through partnerships that include, or will include, multiple stakeholders (e.g., industry, academic, not-for-profits, government entities, and others). The NSF C-Accel Pilot will bring teams together in a cohort that are all focused on a common research goal of national importance but which may be pursuing many different approaches. NSF is planning to fund approximately 50 Phase 1 awards (up to 9 months and up to $1 million each). Additional funds will be available for a smaller number of Phase 2 awards. The first-step to become part of the NSF C-Accel Pilot is to submit a 2-page Research Concept Outline (RCO), aligned with one of the tracks described below, with a target submission date of April 15, 2019.

The NSF C-Accel Pilot consists of three tracks, with each track aligned with one of NSF’s 10 Big Ideas, namely Harnessing the Data Revolution (HDR) (track A1) and the Future of Work at the Human-Technology Frontier (FW-HTF) (tracks B1 and B2).

Track A1: Open Knowledge Network- The overall goal of Track A1 is to enable the creation of a nonproprietary shared knowledge infrastructure. A knowledge network allows stored data (both structured and unstructured data) to be located and its attributes and relationship to other data and to real-world objects and concepts to be understood at a semantic level. Phase 1 of the Open Knowledge Network NSF C-Accel Pilot track will support building the multidisciplinary and multi-institutional teams needed to identify the development paths for an OKN, with a particular focus on exploiting publicly available U.S. Government and similar public datasets (see, e.g., https://www.data.gov). These teams may address "horizontal" challenges that apply to all domains, addressing challenges such as developing the underlying representation of facts, querying services that perform reasoning tasks with the data, or developing secured access capabilities. Teams may also choose to address "vertical" challenges specific to different topical domains such as geosciences, education, smart health, finance, and manufacturing. A participatory design approach that considers the needs and perspectives of the many user communities will be essential.

Track B1: AI and Future Jobs- Building upon these fundamentals, the ultimate goal of Track B1 is to support research and development leading to technological tools that will connect individual workers with jobs, keeping in mind that periodic retraining and reskilling outside of traditional educational settings will increasingly become integral to successful lifetime careers. Phase 1 of the AI and Future Jobs NSF C-Accel Pilot track will support team building and creating research and development plans addressing multiple components of connecting workers with jobs of the future, such as predictive artificial intelligence tools, economic and labor market analyses of needed skills for future workplaces, and educational technologies needed for adult learning. Successful projects will consider the range of factors that impact employment and training, such as disabilities and family responsibilities. Individual projects funded in this track may be focused on particular industries or regions, specific populations such as veterans, or particular workplace types such as small businesses, decentralized manufacturing, medical facilities, or K-12 schools.

Track B2: National Talent Ecosystem- The ultimate goal of Track B2 is to support research and development leading to innovative approaches for employers to support workers seeking the skills required for 21st century work related to AI, data science, predictive analytics, and other technologies of the future. Phase 1 of the NSF C-Accel National Talent Ecosystem Pilot track will support team building and creating research and development plans addressing multiple approaches toward re-envisioning the concepts, structures, and technologies needed for employers to support continuous learning for dynamic, digitally-intensive work, and provide access to skilled talent pathways, mentors and authentic workplace experiences. Successful projects will be informed by research on STEM (science, technology, engineering, and mathematics) learning, engagement, and its social context, as well as research on organizations and collaboration. Successful projects will focus on prototyping innovative approaches such as learning environments, platforms, interfaces, or simulations, tools for analysis, assessment, or prediction, and vehicles for recruitment and engagement, with the potential for wider implementation by industry, educational institutions, and other stakeholders engaging in the co-creation of a national talent ecosystem.

Proposal Submission Process:

Phase 1 of the Pilot will use the Research Advanced by Interdisciplinary Science and Engineering (RAISE) mechanism, a mechanism used to submit multidisciplinary project ideas to NSF.

Phase 1: Research Concept Outline Submission

Proposers are invited to respond to this DCL through the submission of a two-page Research Concept Outline (RCO) as a PDF file. The PDF file should be submitted, with a target date of April 15, 2019.

 

Phase 1: Full Proposals

If invited, full proposals are due on June 3, 2019. Proposers must follow the guidance for the RAISE proposal mechanism specified in the NSF Proposal and Award Policies and Procedures Guide (PAPPG; see Chapter II.E.3). Phase 1 efforts will focus on research plan development and team formation leading to a proof-of-concept and will include NSF-organized convenings for training and cross-cohort collaboration.

 

Link to full Dear Colleague Letter

https://www.nsf.gov/pubs/2019/nsf19050/nsf19050.jsp?WT.mc_id=USNSF_25&WT.mc_ev=click