TY - JOUR
T1 - Enabling AI innovation via data and model sharing
T2 - An overview of the NSF Convergence Accelerator Track D
AU - Baru, Chaitanya
AU - Pozmantier, Michael
AU - Altintas, Ilkay
AU - Baek, Stephen
AU - Cohen, Jonathan
AU - Condon, Laura
AU - Fanti, Giulia
AU - Fernandez, Raul Castro
AU - Jackson, Ethan
AU - Lall, Upmanu
AU - Landman, Bennett
AU - Li, Hai Helen
AU - Marin, Claudia
AU - Lopez, Beatriz Martinez
AU - Metaxas, Dimitris
AU - Olsen, Bradley
AU - Page, Grier
AU - Shang, Jingbo
AU - Turkan, Yelda
AU - Zhang, Peng
N1 - Publisher Copyright:
© 2022 The Authors. AI Magazine published by Wiley Periodicals LLC on behalf of the Association for the Advancement of Artificial Intelligence.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - This article provides a brief overview of 18 projects funded in Track D—Data and Model Sharing to Enable AI Innovation—of the 2020 Cohort of the National Science Foundation’s (NSF) Convergence Accelerator (CA) program. The NSF CA is focused on transitioning research to practice for societal impact. The projects described here were funded for one year in phase I of the program, beginning September 2020. Their focus is on delivering tools, technologies, and techniques to assist in sharing data as well as data-driven models to enable AI innovation. A broad range of domain areas is covered by the funded efforts, spanning across healthcare and medicine, to climate change and disaster, and civil/built infrastructure. The projects are addressing sharing of open as well as sensitive/private data. In September 2021, six of the eighteen projects described here were selected for phase II of the program, as noted in this article.
AB - This article provides a brief overview of 18 projects funded in Track D—Data and Model Sharing to Enable AI Innovation—of the 2020 Cohort of the National Science Foundation’s (NSF) Convergence Accelerator (CA) program. The NSF CA is focused on transitioning research to practice for societal impact. The projects described here were funded for one year in phase I of the program, beginning September 2020. Their focus is on delivering tools, technologies, and techniques to assist in sharing data as well as data-driven models to enable AI innovation. A broad range of domain areas is covered by the funded efforts, spanning across healthcare and medicine, to climate change and disaster, and civil/built infrastructure. The projects are addressing sharing of open as well as sensitive/private data. In September 2021, six of the eighteen projects described here were selected for phase II of the program, as noted in this article.
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U2 - 10.1002/aaai.12042
DO - 10.1002/aaai.12042
M3 - Article
AN - SCOPUS:85134178006
SN - 0738-4602
VL - 43
SP - 93
EP - 104
JO - AI Magazine
JF - AI Magazine
IS - 1
ER -