Scientist Works with Petri Dishes with Various Bacteria, Tissue and Blood Samples. Concept of Pharmaceutical Research for Antibiotics, Curing Disease with DNA Enhancing Drugs. Moving Close-up Macro

August 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, August 18th, at 12:00-1:30p.m. Eastern Time, to hear from the following speakers. Register here for your unique Zoom link and calendar information.

Watch a video recap of this webinar on our YouTube channel.

This webinar will feature the following speakers:

Zhenlong Li, University of South CarolinaMonitoring the Spatial Spread of COVID-19 through the Lens of Human Movement using Big Social Media Data. Funded by NSF Engineering / Division of Civil, Mechanical and Manufacturing Innovation.

Samson Qian, University of California, San DiegoGenerating Explanations for Chest Medical Scan Pneumonia Predictions. COVID Information Commons Undergraduate Student Paper Challenge 2nd Place Winner.

Deborah Salon, Arizona State UniversityInvestigating Attitudinal and Behavioral Changes in US Households Before, During, and After the COVID-19 Pandemic. Funded by NSF Engineering / Division of Civil, Mechanical and Manufacturing Innovation.

Sarah T. Stahl, University of Pittsburgh: Efficacy of a Healthy Lifestyle Intervention to Prevent Depression in Older Spousally-bereaved Adults-Supplement. Funded by NIH / Office of the Director and NIA – National Institute on Aging.

Massood Tabib-Azar, The University of Utah: Colorimetric COVID-19 Detection Using Aptamers. Funded by NSF Engineering / Division of Chemical, Bioengineering, Environmental and Transport Systems.

Ali Vahdati, East Carolina University: A Computational Model for Multiscale Investigation of Regional Lung Dynamics. Funded by NSF Engineering / Division of Civil, Mechanical and Manufacturing Innovation.

By attending, all event participants agree to abide by the NEBD Hub Events Code of Conduct and Video / Photography Disclaimer. Visit our events page to learn more.

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