UC COVID-19 Research: Impacts of NSF RAPID Grants

Researchers discuss the COVID-19 response as a result of funding opportunities through the NSF's Rapid Response Research (RAPID) grant mechanism.

Date: Wednesday, June 24, 2020

Participants

  • Theresa Maldonado, vice president of research and innovation, UC Office of the President, moderated the conversation.
  • Ellen Bruno, assistant cooperative extension specialist, Department of Agricultural & Resource Economics, UC Berkeley, a specialist in quantitative policy analysis who conducts research on issues related to improving the management of California's water supply through government agencies and non-profit organizations, discussed the implications of compounding human and natural disasters on the agriculture sector, such as COVID-19. 
  • Michael Pazzani, distinguished scientist at the Halicioglu Data Science Institute, UC San Diego, conducts research in machine learning, explainable artificial intelligence, personalization, internet search and recommendation systems. He discussed research using explainable machine learning, related to the analysis of COVID-19 related chest computerized tomography (CT) scans.
  • Qingfang Wang, professor, public policy, UC Riverside, whose recent work includes research on immigrant, ethnic, and female entrepreneurship, and transnational migration of the highly skilled, especially in the higher education sector, discussed adaption practices of small businesses within communities, in response to the COVID-19 epidemic.
  • Alison Holman, associate professor, Sue and Bill Gross School of Nursing, UC Irvine, whose research focuses on understanding the early post-event predictors of co-morbid trauma related mental and physical health problems, discussed the effects of risk perceptions, health protective behaviors and acute stress related to the COVID-19 outbreak.