NSF Convergence Approach to Transition Basic Research into Practice
This addresses societal problems for the U.S. innovation ecosystem, but it is incremental as it builds on existing basic research.
The NSF Convergence Accelerator tackles national-scale societal challenges by transitioning basic research into practice through use-inspired convergence research, focusing on priority areas including COVID-19, data revolution, future of work, and quantum technology.
The National Science Foundation Convergence Accelerator addresses national-scale societal challenges through use-inspired convergence research. Leveraging a convergence approach the Convergence Accelerator builds upon basic research and discovery to make timely investments to strengthen the Nations innovation ecosystem associated with several key R&D priority areas and practices to include the coronavirus disease 2019, harnessing the data revolution, the future of work, and quantum technology. Artificial Intelligence is a key underlying theme across all of these areas.