2020.04.06
[Info Share] Stanford Human-Centered AI Institute (HAI)- "COVID-19 and AI: A Virtual Conference"

 

  Sponsored by the Stanford Institute for Human-Centered Artificial Intelligence (HAI), an online conference "COVID-19 and AI: A Virtual Conference" was held on April 1st, 2020. Scholars and experts in related fields have joined the conference to discuss the understanding of the virus and its impact on society.
  Dr. Jason Wang, the Director of Center for Policy, Outcomes and Prevention of Stanford, also joined the conference with the topic: "Taiwan’s Use of Data Analytics to Control COVID-19" to share Taiwan's experience in controlling the epidemic. The full video archive can now be viewed on Youtube:

(Source:https://youtu.be/z4105Exe23Q)

Meeting Agenda

Time

Session Information

9:00-9:20

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

9:20-10:30

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

10:40-11:40

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

11:50-1:30

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

1:45- 3:00

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

3:00- 3:15

Wrap Up
Russ Altman 
Rob Reich

(Source: https://hai.stanford.edu/events/covid-19-and-ai-virtual-conference/agenda)