The Data Science of COVID-19 Spread: Some Troubling Current and Future Trends
Published in Peace Economics, Peace Science and Public Policy, 2020
Recommended citation: Douglass, R. W., Scherer, T. L., & Gartzke, E. (2020). The Data Science of COVID-19 Spread: Some Troubling Current and Future Trends, Peace Economics, Peace Science and Public Policy, 26(3), 20200053. doi: https://doi.org/10.1515/peps-2020-0053 https://www.degruyter.com/view/journals/peps/26/3/article-20200053.xml
The SARS-COV-2 global pandemic has exposed weaknesses throughout our institutions, and the sciences are no exception. Given the deluge of official statistics and 300+ new COVID-19 working papers posted each day, it is imperative for both consumers and producers of COVID-19 knowledge to be clear on what we do and do not know. In this brief review, we enumerate ways that data science has highlighted these weaknesses and is helping to address them.