NSF Convergence Accelerator

NSF Convergence Accelerator. A flagship initiative of the National Science Foundation designed to accelerate use-inspired, convergence research into tangible solutions for national-scale societal challenges. Launched in 2019, it builds upon the foundational research supported by the NSF's 10 Big Ideas and operates through a structured, multi-phase program that fosters deep collaboration across disciplines and sectors. The program aims to transition high-potential research concepts into practical prototypes, partnerships, and sustainable ventures within a 2-3 year timeframe.

Overview

The program was established as a direct response to the NSF's 10 Big Ideas for Future Investment, particularly the Convergence Research and NSF INCLUDES big ideas, aiming to address complex societal and economic challenges. It is modeled on principles of use-inspired research and draws inspiration from other federal innovation models like the Defense Advanced Research Projects Agency (DARPA). The initiative is managed within the NSF's Directorate for Technology, Innovation and Partnerships (TIP), which was created to strengthen the U.S. innovation ecosystem. Key leadership has included program director Douglas Maughan and division director Lara A. Campbell.

Program structure and tracks

The program operates on a fixed timeline, typically involving a nine-month Phase 1 for conceptual development, followed by a two-year Phase 2 for solution development and prototyping. Participants are organized into multidisciplinary teams that include academics, industry partners, non-profits, and other stakeholders. Each cohort focuses on specific, pre-identified "tracks" aligned with national priorities. Past and present tracks have included themes such as Open Knowledge Networks, AI and Future Jobs, Networked Blue Economy, Trust & Authenticity in Communication Systems, and Sustainable Materials for Global Challenges. These tracks are often informed by workshops and input from agencies like the National Institute of Standards and Technology and the U.S. Department of Energy.

Funding and selection process

Funding is awarded through a highly competitive, multi-stage merit review process. Phase 1 awards are typically planning grants, such as the NSF Convergence Accelerator Track A awards, which provide resources for team building and initial design. Successful Phase 1 teams can then apply for significantly larger Phase 2 awards to execute their projects. The review panels emphasize criteria like convergence approach, team composition, and potential for societal impact. The program encourages partnerships with entities like Industry-University Cooperative Research Centers and requires teams to develop sustainability plans beyond NSF support, often involving venture capital or partnerships with organizations like the National Institutes of Health.

Key projects and outcomes

Notable projects have emerged across various tracks, producing early-stage prototypes and partnerships. In the Open Knowledge Networks track, projects have developed data infrastructure for domains like supply chain resilience and public health. The AI and Future Jobs track has spurred tools for workforce retraining and ethical AI deployment. Other outcomes include new standards for data sharing, spin-off companies, and policy white papers contributed to bodies like the National Artificial Intelligence Initiative Office. The program also emphasizes broadening participation, with projects often involving Minority-Serving Institutions and organizations like the American Association for the Advancement of Science.

Relationship to other NSF programs

The program is distinct from but complementary to other NSF funding mechanisms. It is more focused and accelerated than traditional NSF Directorate for Engineering or NSF Directorate for Computer and Information Science and Engineering grants. It builds upon basic research funded through core programs and the NSF Growing Convergence Research initiative. It also aligns with the mission of the NSF Innovation Corps (I-Corps) for entrepreneurial training and shares strategic goals with the NSF Regional Innovation Engines program. The program often coordinates with other federal efforts, such as those led by the White House Office of Science and Technology Policy.

Category:National Science Foundation Category:Research and development in the United States Category:Science and technology policy in the United States