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

Geo-mapping of COVID-19 Risk Correlates Across Districts and Parliamentary Constituencies in India

by S. V. Subramanian, Omar Karlsson, Weixing Zhang, and Rockli Kim

Published: Sep 21, 2020

Connections

Supplements (1):

S V Subramanian & 3 others

Time Series Models Based on Growth Curves with Applications to Forecasting Coronavirus

by Andrew Harvey and Paul Kattuman

Published: Aug 25, 2020

A Conversation on COVID-19 with Head of Statistics for BBC News Robert Cuffe

by Robert Cuffe, Liberty Vittert, and Xiao-Li Meng

Published: Aug 21, 2020

A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States

by Yiwang Zhou, Lili Wang, Leyao Zhang, Lan Shi, Kangping Yang, Jie He, Bangyao Zhao, William Overton, and 2 more

Published: Aug 06, 2020

A Conversation on COVID-19 with Brief19 Editor-in-Chief and ER Physician Jeremy Faust

by Jeremy Faust, Xiao-Li Meng, and Liberty Vittert

Published: Jul 24, 2020

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

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

Published: Jul 16, 2020

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

by Debashree Ray, Maxwell Salvatore, Rupam Bhattacharyya, Lili Wang, Jiacong Du, Shariq Mohammed, Soumik Purkayastha, Aritra Halder, and 10 more

Published: Jun 09, 2020

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

by David Leslie

Published: Jun 05, 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

by Mayank Kejriwal

Knowledge Graphs and COVID-19: Opportunities, Challenges, and Implementation

Now Available: Just Accepted version of the article

by John Sides, Chris Tausanovitch, and Lynn Vavreck

The Politics of COVID-19: Partisan Polarization about the Pandemic Has Increased, but Support for Health Care Reform Hasn’t Moved at All

Now Available: Just Accepted version of the article

by James Johndrow, Patrick Ball, Maria Gargiulo, and Kristian Lum

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States

Now Available: Just Accepted version of the article

by Frederic Gerdon, Helen Nissenbaum, Ruben L. Bach, and Frauke Kreuter

Individual Acceptance of Using Health Data for Private and Public Benefit: Changes During the COVID-19 Pandemic

Now Available: Abstract

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

Geo-mapping of COVID-19 Risk Correlates Across Districts and Parliamentary Constituencies in India

Time Series Models Based on Growth Curves with Applications to Forecasting Coronavirus

A Conversation on COVID-19 with Head of Statistics for BBC News Robert Cuffe

A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States

A Conversation on COVID-19 with Brief19 Editor-in-Chief and ER Physician Jeremy Faust

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

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

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

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

Knowledge Graphs and COVID-19: Opportunities, Challenges, and Implementation

The Politics of COVID-19: Partisan Polarization about the Pandemic Has Increased, but Support for Health Care Reform Hasn’t Moved at All

Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States

Individual Acceptance of Using Health Data for Private and Public Benefit: Changes During the COVID-19 Pandemic