[演講分享] 史丹佛大學「以人為本AI研究院」舉辦 COVID-19 and AI 線上會議

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2020/04/06

新冠狀病毒COVID-19造成不分國界的嚴重疫情，於此同時，世界各國相關領域學者專家如火如荼投入研究之中，試圖盡快掌握病毒有關資訊。

其中，史丹佛大學(Standford University)的「以人為本AI研究院」(Stanford Human-Centered AI Institute, HAI)在4月1日舉辦一場以「COVID-19與AI」為主題的線上虛擬會議，召集了來自史丹佛大學及其他地區的專家，旨在增進對該病毒及其對社會的影響的理解。演講者主題涵蓋專業學術研究、政府、國際組織以及民間社會，全球社會共同致力於使全人類受益的解決方案。

值得一提的是，來自台灣的史丹佛大學副教授王智弘(Jason Wang)過去曾在台灣全民健保體檢小組擔任計畫經理，也以"Taiwan's Use of Data Analytics to Control COVID-19"為題，分享台灣經驗。整段直播影片目前可於Youtube平台觀看：

(來源：https://youtu.be/z4105Exe23Q)

以下為本次會議議程：

影片時間	內容主題
09:57	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
21:05	Session I: Landscape and Framing 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
1:49:50	Session II: Social Impacts & Bio-Security 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
3:01:45	Session III: Tracking the Epidemic 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
4:55:00	Session IV: Treatments & Vaccines 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
5:43:02	Wrap Up Russ Altman Rob Reich

以上訊息轉載自：https://hai.stanford.edu/events/covid-19-and-ai-virtual-conference/agenda

最新消息

Welcome and Preview

Session I: Landscape and Framing

Session II: Social Impacts & Bio-Security

Session III: Tracking the Epidemic

Session IV: Treatments & Vaccines

Rapid Analysis of SARS-CoV-2 Genomic Content Using the Functional Genomics Platform Kristen Beck, Lead Bioinformatician, AI and Cognitive Software, IBM

Wrap Up

Rapid Analysis of SARS-CoV-2 Genomic Content Using the Functional Genomics Platform
Kristen Beck, Lead Bioinformatician, AI and Cognitive Software, IBM