Special Issue 1

The Harvard Data Science Review will continue to publish special articles and perspectives on COVID-19 on a rolling basis, reflecting the most up-to-date developments. Scroll down to see our latest articles and forthcoming content.

From the Editor-In-Chief

COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)

by Xiao-Li Meng

Published: May 14, 2020

A Conversation with Larry Bacow on the Impact of COVID-19

by Lawrence Bacow, Xiao-Li Meng, and Liberty Vittert

Published: May 14, 2020

A Conversation about COVID-19 with Economists, Sociologists, Statisticians, and Operations Researchers

by David Banks, Laura Albert, Jonathan Caulkins, Sylvia Frühwirth-Schnatter, Fiona Greig, Adrian Raftery, and Duncan Thomas

Published: May 22, 2020

A Conversation about COVID-19 with Biostatisticians and Epidemiologists

by David Banks, Susan Ellenberg, Thomas Fleming, M. Elizabeth Halloran, Andrew Lawson, and Lance Waller

Published: May 14, 2020

Bayesian Adaptive Clinical Trials for Anti-Infective Therapeutics During Epidemic Outbreaks

by Shomesh Chaudhuri, Andrew W. Lo, Danying Xiao, and Qingyang Xu

Published: May 14, 2020

Estimating Probabilities of Success of Vaccine and Other Anti-Infective Therapeutic Development Programs

by Andrew W. Lo, Kien Wei Siah, and Chi Heem Wong

Published: May 14, 2020

The Coronavirus Exponential: A Preliminary Investigation into the Public's Understanding

by Alexander Podkul, Liberty Vittert, Scott Tranter, and Alex Alduncin

Published: May 14, 2020

Forthcoming

Anastasios Nikolas Angelopoulos, Reese Pathak, Rohit Varma, and Michael I. Jordan

On Identifying and Mitigating Bias in the Estimation of the COVID-19 Case Fatality Rate

Now Available: Abstract

David Leslie

Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction

Now Available: Just Accepted version of the article

Debashree Ray, Maxwell Salvatore, Rupam Bhattacharyya, Lili Wang, Jiacong Du, Shariq Mohammed, Soumik Purkayastha, Aritra Halder, Alexander Rix, Daniel Barker, Michael Kleinsasser, Yiwang Zhou, Debraj Bose, Peter Song, Mousumi Banerjee, Veerabhadran Baladandayuthapani, Parikshit Ghosh, and Bhramar Mukherjee

Predictions, Role of Interventions and Effects of a Historic National Lockdown in India's Response to the the COVID-19 Pandemic: Data Science Call to Arms

Now Available: Just Accepted version of the article

COVID-19: Unprecedented Challenges and Chances

From the Editor-In-Chief

COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science)

Contents

A Conversation with Larry Bacow on the Impact of COVID-19

A Conversation about COVID-19 with Economists, Sociologists, Statisticians, and Operations Researchers

A Conversation about COVID-19 with Biostatisticians and Epidemiologists

Bayesian Adaptive Clinical Trials for Anti-Infective Therapeutics During Epidemic Outbreaks

Estimating Probabilities of Success of Vaccine and Other Anti-Infective Therapeutic Development Programs

The Coronavirus Exponential: A Preliminary Investigation into the Public's Understanding

Forthcoming

On Identifying and Mitigating Bias in the Estimation of the COVID-19 Case Fatality Rate

Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction

Predictions, Role of Interventions and Effects of a Historic National Lockdown in India's Response to the the COVID-19 Pandemic: Data Science Call to Arms