Symposium
COVID-19 Symposium Day 2
Andrew Beam · Tristan Naumann · Katherine Heller · Elaine Nsoesie
Wed 9 Dec, noon PST
The COVID-19 global pandemic has disrupted nearly all aspects of modern life. This year NeurIPS will host a symposium on COVID-19 to frame challenges and opportunities for the machine learning community and to foster a frank discussion on the role of machine learning. A central focus of this symposium will be clearly outlining key areas where machine learning is and is not likely to make a substantive impact. The one-day event will feature talks from leading epidemiologists, biotech leaders, policy makers, and global health experts. Attendees of this symposium will gain a deeper understanding of the current state of the COVID-19 pandemic, challenges and limitations for current machine learning capabilities, how machine learning is accelerating COVID-19 vaccine development, and possible ways machine learning may aid in the present and future pandemics.
Schedule
Wed 12:00 p.m. - 12:15 p.m.
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Opening remarks for day 2 of COVID-19 Symposium
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Introduction to day 2
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🔗 |
Wed 12:15 p.m. - 12:50 p.m.
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AI Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19
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Invited Talk
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SlidesLive Video |
Aisha Walcott-Bryant 🔗 |
Wed 12:50 p.m. - 1:00 p.m.
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Walcott-Bryant Q&A
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Walcott-Bryant Q&A
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Aisha Walcott-Bryant 🔗 |
Wed 1:00 p.m. - 1:35 p.m.
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Bayesian nowcasting of COVID-19 regional test results in England
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Invited talk
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SlidesLive Video |
Chris C Holmes 🔗 |
Wed 1:35 p.m. - 1:45 p.m.
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Chris Holmes Q&A
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Q&A
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Chris C Holmes 🔗 |
Wed 1:45 p.m. - 2:20 p.m.
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Moderna, Vaccine Science, and a Health Information Revolution
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Invited talk
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Noubar Afeyan 🔗 |
Wed 2:20 p.m. - 2:30 p.m.
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Break
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Q&A
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Wed 2:30 p.m. - 2:34 p.m.
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Transfer Learning with Neural Motif Transformer for Predicting Protein-Protein Interactions Between SARS-CoV-2 and Humans
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Spotlight
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SlidesLive Video |
Jack Lanchantin 🔗 |
Wed 2:34 p.m. - 2:38 p.m.
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Addressing Public Health Literacy Disparities through Machine Learning: A Human in the Loop Augmented Intelligence based Tool for Public Health
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Spotlight
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SlidesLive Video |
Anjana Susarla 🔗 |
Wed 2:38 p.m. - 2:42 p.m.
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Quantifying Uncertainty in Deep Spatiotemporal Forecasting for COVID-19
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Spotlight
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SlidesLive Video |
Yian Ma · Rose Yu 🔗 |
Wed 2:42 p.m. - 2:46 p.m.
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Mobility network models of COVID-19 explain inequities and inform reopening
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Spotlight
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SlidesLive Video |
Serina Chang 🔗 |
Wed 2:46 p.m. - 2:50 p.m.
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Unsupervised learning for economic risk evaluation in the context of Covid-19 pandemic
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Spotlight
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SlidesLive Video |
SANTIAGO CORTES 🔗 |
Wed 2:50 p.m. - 2:54 p.m.
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Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds
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Spotlight
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SlidesLive Video |
Erik Drysdale 🔗 |
Wed 2:54 p.m. - 2:58 p.m.
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Using Wearables for Influenza-Like Illness Detection: The importance of design
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Spotlight
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SlidesLive Video |
Bret Nestor 🔗 |
Wed 2:58 p.m. - 3:02 p.m.
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A Bayesian Hierarchical Network for Combining Heterogeneous Data Sources in Medical Diagnoses
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Spotlight
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SlidesLive Video |
Claire Donnat 🔗 |
Wed 3:02 p.m. - 3:06 p.m.
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Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning
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Spotlight
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SlidesLive Video |
Marcin Skwark 🔗 |
Wed 3:06 p.m. - 3:10 p.m.
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Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Signature of Disease
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Spotlight
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SlidesLive Video |
Manik Kuchroo 🔗 |