COVID-19 and AI: A Virtual Conference
Agenda
Time |
Session Information |
---|---|
9:00-9:20 |
Welcome and PreviewJohn Etchemendy, Denning Family Co-Director, Stanford Institute for Human-Centered Artificial Intelligence; Provost Emeritus, and Patrick Suppes Family Professor in the School of Humanities and Sciences, Stanford University Fei-Fei Li, Denning Family Co-Director, Stanford Institute for Human-Centered Artificial Intelligence; Sequoia Professor of Computer Science, Stanford University
Russ Altman, Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science, and, by courtesy, of Computer Science, Stanford University; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence
Michele Elam, William Robertson Coe Professor of Humanities Department of English Center for Comparative Studies in Race & Ethnicity, Stanford University; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence
Rob Reich, Professor of Political Science, Stanford University; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence |
9:20-10:30 |
Session I: Landscape and FramingTalk Titles & SpeakersChallenges Responding to COVID-19: Perspectives from a Physician and Policy Maker An Academic Medical Center’s Data Science Response to a Pandemic Issues in Responsible Reporting of COVID-19 Global Best Practices in Controlling the COVID-19 Pandemic Panel Discussion and Audience Q&A |
10:40-11:40 |
Session II: Social Impacts & Bio-SecurityTalk Titles & SpeakersCOVID-19 Infodemic and Crisis Informatics COVID-19: Misinformation & Disinformation COVID-19 & Biosecurity “Foreign Bodies”: COVID-19 and Xenophobia Panel Discussion and Audience Q&A |
11:50-1:30 |
Session III: Tracking the EpidemicTalk Titles & SpeakersTaiwan’s Use of Data Analytics to Control COVID-19 Tools for Estimating Unreported Infections of COVID-19 Methods for Real Time Mapping of COVID-19 Cases Worldwide Epidemiological Forecasting Tools for COVID-19 A Mobile App Intervention to Slow COVID-19 Using Crowdsourced Data AI for COVID-19: An Online Virtual Care Approach Knowledge Technology to Accelerate Open Science in Addressing the COVID-19 Pandemic What We Can Learn From Twitter Analysis About COVID-19 Panel Discussion and Audience Q&A |
1:45- 3:00 |
Session IV: Treatments & VaccinesTalk Titles & SpeakersRapid Analysis of SARS-CoV-2 Genomic Content Using the Functional Genomics Platform COVID-19 Machine Learning Challenges Machine Learning Enabled Systems for Delivering Care to Critically Ill Patients AI-Assisted Elderly Care for Acute Infection and Chronic Disease Identifying COVID-19 Vaccine Candidates with ML Repurposing Existing Drugs to Fight COVID-19 Panel Discussion and Audience Q&A Moderator: Russ Altman |
3:00- 3:15 |
Wrap UpRuss Altman
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