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original article |
Date |
Title |
Authors All Authors |
| 1 |
[GO] |
2024―Aug―01 |
From COVID-19 to GPT-4o: The Groundbreaking Quinquennium for Harvard Data Science Review (and Humanity) |
Xiao-Li Meng |
| 2 |
[GO] |
2024―Mar―25 |
Data Journeys in Popular Science: Producing Climate Change and COVID-19 Data Visualizations at Scientific American |
Kathleen Gregory, Laura Koesten, Regina Schuster, Torsten Möller, Sarah Davies |
| 3 |
[GO] |
2023―Dec―20 |
Assessing the Prognostic Utility of Clinical and Radiomic Features for COVID-19 Patients Admitted to ICU: Challenges and Lessons Learned |
Yuming Sun, Stephen Salerno, Ziyang Pan, Eileen Yang, Chinakorn Sujimongkol, Jiyeon Song, et al. (+6) Xinan Wang, Peisong Han, Donglin Zeng, Jian Kang, David C. Christiani, Yi Li |
| 4 |
[GO] |
2023―Apr―27 |
Frontline Data Science: Lessons Learned From a Pandemic |
Emily A. Beck, Hannah Tavalire, Jake Searcy |
| 5 |
[GO] |
2023―Jan―26 |
Better Metrics to Guide Public Health Policy: Lessons Learned From COVID-19 for Data Systems Improvement |
Michael A. Stoto, John D. Kraemer, Rachael Piltch-Loeb |
| 6 |
[GO] |
2022―Jan―27 |
Misinformation about COVID-19 and Venezuelan Migration: Trends in Twitter Conversation during a Pandemic |
Katharine M. Donato, Lisa Singh, Ali Arab, Elizabeth Jacobs, Douglas Post |
| 7 |
[GO] |
2022―Jan―06 |
Increasing Uptake of Social Distancing During COVID-19: How Machine Learning Strategies Can Lead to Targeted Interventions |
Grace Charles, Mokshada Jain, Yael Caplan, Hannah Kemp, Aysha Keisler, Vincent Huang, Sema K. Sgaier |
| 8 |
[GO] |
2021―Jun―17 |
The Evolving Ecosystem of COVID-19 Contact Tracing Applications |
Benjamin Levy, Matthew Stewart |
| 9 |
[GO] |
2021―Apr―07 |
Individual Acceptance of Using Health Data for Private and Public Benefit: Changes During the COVID-19 Pandemic |
Frederic Gerdon, Helen Nissenbaum, Ruben L. Bach, Frauke Kreuter, Stefan Zins |
| 10 |
[GO] |
2021―Mar―05 |
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction |
David Leslie |
| 11 |
[GO] |
2021―Mar―05 |
Modeling and Analysis of the Spread of COVID-19 Under a Multiple-Strain Model with Mutations |
Osman Yagan, Anirudh Sridhar, Rashad Eletreby, Simon A. Levin, Joshua B. Plotkin, H. Vincent Poor |
| 12 |
[GO] |
2021―Mar―05 |
A Conversation on COVID-19 with Head of Statistics for BBC News Robert Cuffe |
Robert Cuffe, Liberty Vittert, Xiao-Li Meng |
| 13 |
[GO] |
2021―Mar―05 |
Time Series Models Based on Growth Curves with Applications to Forecasting Coronavirus |
Andrew Harvey, Paul Kattuman |
| 14 |
[GO] |
2021―Feb―11 |
Curating a COVID-19 Data Repository and Forecasting County-Level Death Counts in the United States |
Nick Altieri, Rebecca L Barter, James Duncan, Raaz Dwivedi, Karl Kumbier, Xiao Li, et al. (+8) Robert Netzorg, Briton Park, Chandan Singh, Yan Shuo Tan, Tiffany Tang, Yu Wang, Chao Zhang, Bin Yu |
| 15 |
[GO] |
2021―Feb―11 |
Bringing Every Tool to the COVID-19 Fight - What We Need Now |
Nicolette Louissaint |
| 16 |
[GO] |
2021―Feb―11 |
Knowledge Graphs and COVID-19: Opportunities, Challenges, and Implementation |
Mayank Kejriwal |
| 17 |
[GO] |
2021―Feb―11 |
The Politics of COVID-19: Partisan Polarization about the Pandemic Has Increased, but Support for Health Care Reform Hasn’t Moved at All |
John Sides, Chris Tausanovitch, Lynn Vavreck |
| 18 |
[GO] |
2021―Jan―25 |
Estimating the Number of SARS-CoV-2 Infections and the Impact of Mitigation Policies in the United States |
James Johndrow, Patrick Ball, Maria Gargiulo, Kristian Lum |
| 19 |
[GO] |
2020―Nov―09 |
Geo-mapping of COVID-19 Risk Correlates Across Districts and Parliamentary Constituencies in India |
S. V. Subramanian, Omar Karlsson, Weixing Zhang, Rockli Kim |
| 20 |
[GO] |
2020―Jul―30 |
A Conversation with L. Rafael Reif on College of Computing, COVID-19, and the Future Workforce |
L. Rafael Reif, Xiao-Li Meng, Liberty Vittert |
| 21 |
[GO] |
2020―Jul―24 |
A Conversation on COVID-19 with Brief19 Editor-in-Chief and ER Physician Jeremy Faust |
Jeremy Faust, Xiao-Li Meng, Liberty Vittert |
| 22 |
[GO] |
2020―Jul―21 |
A Spatiotemporal Epidemiological Prediction Model to Inform County-Level COVID-19 Risk in the United States |
Yiwang Zhou, Lili Wang, Leyao Zhang, Lan Shi, Kangping Yang, Jie He, et al. (+4) Bangyao Zhao, William Overton, Soumik Purkayastha, Peter Song |
| 23 |
[GO] |
2020―Jul―07 |
A Conversation about COVID-19 with Economists, Sociologists, Statisticians, and Operations Researchers |
David Banks, Laura Albert, Jonathan Caulkins, Sylvia Frühwirth-Schnatter, Fiona Greig, Adrian Raftery, Duncan Thomas |
| 24 |
[GO] |
2020―Jun―29 |
On Identifying and Mitigating Bias in the Estimation of the COVID-19 Case Fatality Rate |
Michael I. Jordan |
| 25 |
[GO] |
2020―Jun―08 |
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 |
|
| 26 |
[GO] |
2020―May―19 |
A Conversation with Larry Bacow on the Impact of COVID-19 |
Xiao-Li Meng, Liberty Vittert |
| 27 |
[GO] |
2020―May―19 |
A Conversation about COVID-19 with Biostatisticians and Epidemiologists |
David Banks |
| 28 |
[GO] |
2020―May―19 |
COVID-19: A Massive Stress Test with Many Unexpected Opportunities (for Data Science) |
Xiao-Li Meng |
| 29 |
[GO] |
2020―May―19 |
The Coronavirus Exponential: A Preliminary Investigation into the Public's Understanding |
Liberty Vittert, Alexander Podkul |
| 30 |
[GO] |
2020―Apr―30 |
Can the Coronavirus Prompt a Global Outbreak of “Distributional Thinking” in Organizations? |
Nathan Sanders |
