The NSF Convergence Accelerator Program

Authors

  • Chaitanya Baru National Science Foundation
  • Lara Campbell National Science Foundation
  • Aurali Dade National Science Foundation
  • Pradeep Fulay National Science Foundation
  • Alex Loewi National Science Foundation
  • Douglas Maughan National Science Foundation
  • Ibrahim Mohedas National Science Foundation
  • Linda Molnar National Science Foundation
  • Michael Pozmantier National Science Foundation
  • Michael Reksulak National Science Foundation
  • Shelby Smith National Science Foundation
  • Nicole Tehrani National Science Foundation

DOI:

https://doi.org/10.1609/aimag.v43i1.19118

Abstract

The National Science Foundation's Convergence Accelerator is a unique program offering researchers and innovators the opportunity to translate research results into tangible solutions that make a difference for society. Through an intense innovation curriculum and a mentorship program, researchers gain skills and experiences that are of use not only during this program but throughout their careers. This article describes the NSF Convergence Accelerator program and its initial funded convergence research topics—or “tracks”—funded in 2019 and 2020. In almost every track and NSF-funded project, artificial intelligence and machine learning (AI/ML) approaches and methods are playing an essential role.

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Published

2022-03-31

How to Cite

Baru, C. ., Campbell, L. ., Dade, A. ., Fulay, P. ., Loewi, A. ., Maughan, D. ., Mohedas, I. ., Molnar, L. ., Pozmantier, M. ., Reksulak, M. ., Smith, S. ., & Tehrani , N. . (2022). The NSF Convergence Accelerator Program. AI Magazine, 43(1), 6-16. https://doi.org/10.1609/aimag.v43i1.19118

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Section

Special Topic Articles