The Convergence Accelerator selected 11 topics to be further developed through community workshops. Topic submissions were collected from the Dear Colleague Letter (DCL) NSF-22-021, which focused on gathering convergence research topics for 2023 and future years. Below are the final workshop reports. The workshop findings assisted NSF in developing the final convergence research track topics K, L, and M to be funded for 2023.
Chosen Track Topics Aligned to the 2023 Cohort
Multiple workshops were chosen for the 2023 cohort track topics, creating Track K: Equitable Water Solutions, Track L: Real-World Chemical Sensing Applications, and Track M: Bio-Informed Design Innovations.
Track K: Equitable Water Solutions
- Managing Water for a Changing Planet, led by Oregon State University (Award ID: 2231723)
- Climate Resilience and Water Resources, led by Indiana University (Award ID: 2231916)
Track L: Real-World Chemical Sensing Applications
- Chemical Sensing with an Olfaction Analogue: High-dimensional, Bio-inspired Sensing and Computation, led by Texas A&M University (Award ID: 2231512)
- Frontiers in Chemical Sensing Synthetic, Neuromorphic, and Cyborg Systems, led by Washington University (Award ID: 2231526)
Track M: Bio-Informed Design Innovations
- Bio-inspired Design, led by Syracuse University (Award ID: 2232327)
Past Funded Workshop Topic Reports
- Building Resilience to Climate Driven Extreme Events with Computing Innovations, led by Computing Research Association Inc (Award ID: 2232193)
- Data-Directed Education: The Future of AI in Education, led by University of Massachusetts, (Award ID: 2230697)
- Ethical Design of AIs (EDAIs), led by University of Maryland, College Park (Award ID: 2232404)
- Provably Safe and Beneficial AI (PSBAI), led by University of California, Berkeley (Award ID: 2230996)
- Scientists as Allies: Community-centered Approaches to Climate Resilience, led by American Geophysical Union (Award ID: 2231692)
- Transforming Educational Technology Through Convergence, led by University of Pennsylvania (Award ID: 2231524)