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Time
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Session Information
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9:00-9:20
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Welcome and Preview
John 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
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9:20-10:30
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Session I: Landscape and Framing
Talk Titles & Speakers
Challenges Responding to COVID-19: Perspectives from a Physician and Policy Maker
Congressman Ami Bera, California’s 7th Congressional District in the U.S. House of Representatives
An Academic Medical Center’s Data Science Response to a Pandemic
Nigam Shah, Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science, Stanford University
Issues in Responsible Reporting of COVID-19
Seema Yasmin, Director, Stanford Health Communication Initiative; Clinical Assistant Professor, Medicine, Primary Care and Population Health, Stanford University
Global Best Practices in Controlling the COVID-19 Pandemic
Michele Barry, Professor, Senior Associate Dean, Global Health, Director, Center for Innovation in Global Health; Medicine & Senior Fellow, Woods Institute and at the Freeman Spogli Institute, Stanford University
Panel Discussion and Audience Q&A
Moderator: Rob Reich
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10:40-11:40
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Session II: Social Impacts & Bio-Security
Talk Titles & Speakers
COVID-19 Infodemic and Crisis Informatics
Kate Starbird, Associate Professor, Human Centered Design & Engineering, University of Washington
COVID-19: Misinformation & Disinformation
Renée DiResta, Technical Research Manager, Stanford Internet Observatory
COVID-19 & Biosecurity
Megan Palmer, Senior Research Scholar, Stanford Center for International Security and Cooperation, Stanford University
“Foreign Bodies”: COVID-19 and Xenophobia
Eram Alam, Assistant Professor, History of Medicine, Harvard University
Panel Discussion and Audience Q&A
Moderator: Rob Reich
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11:50-1:30
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Session III: Tracking the Epidemic
Talk Titles & Speakers
Taiwan’s Use of Data Analytics to Control COVID-19
Jason Wang, Director, Center for Policy, Outcomes and Prevention, Stanford University; Associate Professor of Pediatrics, The Lucile Salter Packard Children's Hospital and of Medicine
Tools for Estimating Unreported Infections of COVID-19
Lucy Li, Infectious Data Scientist, Chan Zuckerberg Biohub
Methods for Real Time Mapping of COVID-19 Cases Worldwide
John Brownstein, Professor, Department of Pediatrics, Harvard Medical School
Epidemiological Forecasting Tools for COVID-19
Ryan Tibshirani, Associate Professor, Department of Statistics and Machine Learning Department, Carnegie Mellon University
A Mobile App Intervention to Slow COVID-19 Using Crowdsourced Data
Tina White, Ph.D. Candidate, Department of Mechanical Engineering, Stanford University
AI for COVID-19: An Online Virtual Care Approach
Xavier Amatriain, CoFounder and CTO, Curai
Knowledge Technology to Accelerate Open Science in Addressing the COVID-19 Pandemic
Mark Musen, Professor, Department of Medicine (Biomedical Informatics) and of Biomedical Data Science, Stanford University
What We Can Learn From Twitter Analysis About COVID-19
Johannes Eichstaedt, Assistant Professor (Research), Department of Psychology, Stanford University; HAI Junior Fellow
Panel Discussion and Audience Q&A
Moderator: Russ Altman
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1:45- 3:00
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Session IV: Treatments & Vaccines
Talk Titles & Speakers
Rapid Analysis of SARS-CoV-2 Genomic Content Using the Functional Genomics Platform
Kristen Beck, Lead Bioinformatician, AI and Cognitive Software, IBM
COVID-19 Machine Learning Challenges
Anthony Goldbloom, Founder and CEO, Kaggle
Machine Learning Enabled Systems for Delivering Care to Critically Ill Patients
Ron Li, Clinical Assistant Professor of Medicine, Hospital Medicine and Biomedical Informatics, Stanford University
AI-Assisted Elderly Care for Acute Infection and Chronic Disease
Fei-Fei Li, Denning Family Co-Director, Stanford Institute for Human-Centered Artificial Intelligence; Sequoia Professor of Computer Science, Stanford University
Identifying COVID-19 Vaccine Candidates with ML
Binbin Chen, MD and Ph.D. Student, Department of Genetics, Stanford University
Repurposing Existing Drugs to Fight COVID-19
Stefano Rensi, Research Engineer, Bioengineering Department, Stanford University
Panel Discussion and Audience Q&A
Moderator: Russ Altman
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3:00- 3:15
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Wrap Up
Russ Altman
Rob Reich
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