Data, Politics and Public Health: COVID-19 Data-Driven Decision Making in Public Discourse

被引：0

作者：

Harrison, Teresa M. ^{[1
]}

Pardo, Theresa A. ^{[2
]}

机构：

[1] University at Albany, Department of Communication, SUNY, Albany,NY,12222, United States

[2] Center for Technology in Government (CTG UAlbany), Special Assistant to the President, University at Albany, SUNY, 187 Wolf Road, Suite 301, Albany,NY,12205, United States

来源：

Digital Government: Research and Practice | 2021年 / 2卷 / 01期

关键词：

Daily press - Data driven decision - Health care datum - New York city - Policy decisions - Policy makers - Policy making;

D O I：

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学科分类号：

摘要：

In spring 2020, New York City became the acknowledged epicenter of the COVID-19 pandemic in the United States. To keep residents informed, Governor Cuomo conducted a streak of 111 daily press briefings reporting critical information about the status of the pandemic in the State at large, and New York City in particular. We show that through these briefings Governor Cuomo introduced an audience of New Yorkers and others to concepts basic to data-driven decision making such as data, science, models, and projections, and in so doing claimed that his decisions were unrelated to politics or whim. But we further suggest that data-driven decision making is not always immune from politics and human frailty in government. We conclude that basing policy decisions on data requires that policymakers insure the creation of a resilient and trustworthy health care data infrastructure to function as the scaffolding upon which policy making takes place. © 2020 ACM.

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