Presented By: University Career Center
January 2023 COVID Information Commons Webinar: Research LightningTalks 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 Tuesday, January 31st at 3:0 – 4:30 p.m. (ET), to hear from the followingspeakers.
This webinar will feature the following speakers:
Mark Lurie, Brown University. Mobility Analysis for Pandemic Prevention Strategies (MAPPS). Funded by NSF Predictive Intelligence for Pandemic PreventionPhase 1.
Peter Pirolli, Florida Institute for Human & Machine Cognition, Inc. Computational Theory of the Co-evolution of Pandemics, (Mis)information, and Human Mindsets and Behavior. Funded by NSF Behavioral and Cognitive Sciences (BCS).
Rebecca Powell, Icahn School of Medicine atMount Sinai. Comprehensive assessment of SARS-CoV-2-reactive antibodies in human milk to determine their potential as a COVID-19 therapeutic and asa means to prevent infection of breastfed babies. Funded by NIH, National Institute of Allergy and Infectious Diseases.
Jennifer Surtees, University at Buffalo. Center for Ecosystems Data Integration and Pandemic Early Warning Systems. Funded by NSF Predictive Intelligence for Pandemic Prevention Phase 1.
This webinar will feature the following speakers:
Mark Lurie, Brown University. Mobility Analysis for Pandemic Prevention Strategies (MAPPS). Funded by NSF Predictive Intelligence for Pandemic PreventionPhase 1.
Peter Pirolli, Florida Institute for Human & Machine Cognition, Inc. Computational Theory of the Co-evolution of Pandemics, (Mis)information, and Human Mindsets and Behavior. Funded by NSF Behavioral and Cognitive Sciences (BCS).
Rebecca Powell, Icahn School of Medicine atMount Sinai. Comprehensive assessment of SARS-CoV-2-reactive antibodies in human milk to determine their potential as a COVID-19 therapeutic and asa means to prevent infection of breastfed babies. Funded by NIH, National Institute of Allergy and Infectious Diseases.
Jennifer Surtees, University at Buffalo. Center for Ecosystems Data Integration and Pandemic Early Warning Systems. Funded by NSF Predictive Intelligence for Pandemic Prevention Phase 1.
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