COVID virus artist rendering

April 2021 COVID Information Commons Webinar: Research Lightning Talks and Q&A

Meet the scientists seeking new insights on COVID-19. Every month, we bring together a group of researchers studying wide-ranging aspects of the current pandemic, to share their research and answer questions from our community. Learn more about their ongoing efforts in the fight against COVID-19, including opportunities for collaboration.

Join us on Wednesday, April 14th, at 2:30-3:30 pm Eastern Time, to hear from the following speakers. Register here for your unique Zoom link and calendar information.

Brian Chang, Clark University: Predicting Coronavirus Disease (COVID-19) Impact with Multiscale Contact and Transmission Mitigation. Funded by NSF Mathematical and Physical Sciences / Division of Materials Research.

Lalitha Sankar, Arizona State University: Federated Analytics based Contact Tracing for COVID-19. Funded by NSF Computer and Information Science and Engineering / Computer and Network Systems.

Song Gao, University of Wisconsin-Madison: Geospatial Modeling of COVID-19 Spread and Risk Communication by Integrating Human Mobility and Social Media Big Data. Funded by NSF Social, Behavioral and Economic Sciences / Division of Behavioral and Cognitive Sciences.

Dan O’Brien, Northeastern University: Infection Transmission of COVID19 in Urban Neighborhoods. Funded by NSF Social, Behavioral and Economic Sciences / Division of Behavioral and Cognitive Sciences.

Kollbe Ahn, ACatechol, Inc.: Virucidal surface coatings for prevention of COVID-19 transmission. Funded by NSF Engineering / Industrial Innovation and Partnerships.

Jaideep Vaidya, Rutgers University-Newark: Privacy-Preserving Crowdsensing of COVID-19 and its Sociological and Epidemiological Implications. Funded by NSF Computer and Information Science and Engineering / Division of Computer and Network Systems.

Olga Wilhelmi, University Corporation For Atmospheric Research: Responding to extreme heat in the time of COVID-19. Funded by NSF Social, Behavioral and Economic Sciences / Division of Behavioral and Cognitive Sciences.

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