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Workshop

Columbia University Data Science Institute: COVID Research Webinar

Date:
Time:
1:00 pm – 2:30 pm
Target Audiences:
Contact:
Columbia University Data Science Institute, datascience@columbia.edu
Meet the scientists seeking new insights on COVID-19. CIC lightning talk webinars bring together 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.
https://covidinfocommons.datascience.columbia.edu/events/summer-2023-covid-information-commons-webinar-research-lightning-talks-and-qa

Join us on Wednesday, July 26th at 2:00 – 3:30 p.m. (ET), to hear from the following speakers:

Carlos Badenes-Olmedo, Universidad Politécnica de Madrid. Drugs4Covid: Knowledge Graph about Drugs used in the Clinical Control of the Coronavirus.

Niu Gao, Public Policy Institute of California. Impact of COVID-19 on Science Education: Early Evidence from California. Funded by NSF Division Of Research On Learning.

Hong Qin, University of Tennessee, Chattanooga. Develop and Evaluate Computational Frameworks to Predict and Prevent Future Coronavirus Pandemics. Funded by NSF Division of Computing and Communication Foundations.

Evelyn Yemurai Zhou, University of South Africa. Advances in Machine Learning Explainability to Contextualize Equity Market Sustainability in South Africa During the COVID-19 Era. 2022 COVID Information Commons Undergraduate Student Paper Challenge 1st Place Winner.

Xin Zan, University of Florida. Data-driven Adaptive Testing Resource Allocation Strategies for Real-time Monitoring of Infectious Diseases. 2022 COVID Information Commons Graduate Student Paper Challenge 3rd Place Winner.

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Additional Public Info:
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https://unl.joinhandshake.com/stu/events/1319447?ref=events-search

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This event originated in CAS Career Development.