{"title":"流行病政策制定","authors":"Philip D. Waggoner","doi":"10.23919/JSC.2021.0005","DOIUrl":null,"url":null,"abstract":"This study leverages a high dimensional manifold learning design to explore the latent structure of the pandemic policymaking space only based on bill-level characteristics of pandemic-focused bills from 1973 to 2020. Results indicate the COVID-19 era of policymaking maps extremely closely onto prior periods of related policymaking. This suggests that there is striking uniformity in Congressional policymaking related to these types of large-scale crises over time, despite currently operating in a unique era of hyperpolarization, division, and ineffective governance.","PeriodicalId":67535,"journal":{"name":"社会计算(英文)","volume":"2 1","pages":"14-26"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.23919/JSC.2021.0005","citationCount":"3","resultStr":"{\"title\":\"Pandemic Policymaking\",\"authors\":\"Philip D. Waggoner\",\"doi\":\"10.23919/JSC.2021.0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study leverages a high dimensional manifold learning design to explore the latent structure of the pandemic policymaking space only based on bill-level characteristics of pandemic-focused bills from 1973 to 2020. Results indicate the COVID-19 era of policymaking maps extremely closely onto prior periods of related policymaking. This suggests that there is striking uniformity in Congressional policymaking related to these types of large-scale crises over time, despite currently operating in a unique era of hyperpolarization, division, and ineffective governance.\",\"PeriodicalId\":67535,\"journal\":{\"name\":\"社会计算(英文)\",\"volume\":\"2 1\",\"pages\":\"14-26\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.23919/JSC.2021.0005\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"社会计算(英文)\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/9355031/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"社会计算(英文)","FirstCategoryId":"96","ListUrlMain":"https://ieeexplore.ieee.org/document/9355031/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This study leverages a high dimensional manifold learning design to explore the latent structure of the pandemic policymaking space only based on bill-level characteristics of pandemic-focused bills from 1973 to 2020. Results indicate the COVID-19 era of policymaking maps extremely closely onto prior periods of related policymaking. This suggests that there is striking uniformity in Congressional policymaking related to these types of large-scale crises over time, despite currently operating in a unique era of hyperpolarization, division, and ineffective governance.