Hellow guys, Welcome to my website, and you are watching Spring 2024 COVID Information Commons Webinar: Research Lightning Talks and Q&A. and this vIdeo is uploaded by Northeast Big Data Innovation Hub at 2024-06-12T07:21:39-07:00. We are pramote this video only for entertainment and educational perpose only. So, I hop you like our website.
| Name | Spring 2024 COVID Information Commons Webinar: Research Lightning Talks and Q&A |
| Video Uploader | Video From Northeast Big Data Innovation Hub |
| Upload Date | This Video Uploaded At 12-06-2024 14:21:39 |
| Video Discription | 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. This webinar features the following speakers: Florence Hudson, Columbia University. CIC-E: COVID Information Commons Extension for Pandemic Recovery. Funded by NSF Directorate for Technology, Innovation and Partnerships. Helena Solo-Gabriele, University of Miami. Wastewater Based Epidemiology Beyond the COVID-19 Pandemic: Opportunities and Next Steps. Funded by NIH National Institute on Drug Abuse. Xiaohong Tan, Bowling Green State University. SARS-CoV-3. Funded by NSF Division of Chemistry. ___________________________________________________________________________________ 💻 Learn more about the COVID Information Commons: https://covidinfocommons.datascience.columbia.edu/ 🐤 Twitter: https://twitter.com/CIC_COVID 🔗 LinkedIn: https://www.linkedin.com/company/northeast-big-data-innovation-hub/ 📷 Instagram: https://www.instagram.com/nebigdatahub/ 💬 Slack: https://bit.ly/slack-cic 💌 Newsletter Signup: https://bit.ly/newslettercic |
| Category | Education |
| Tags | data | data science | covid | covid19 | coronavirus | health | healthcare | research | STEM | STEAM | supply chain | pandemic | preventative medicine | medicine | misinformation | disinformation | long covid | machine learning |
