{"title":"政策制定中的大数据","authors":"Biagio Aragona, R. De Rosa","doi":"10.1080/08898480.2017.1418113","DOIUrl":null,"url":null,"abstract":"ABSTRACT A review of studies based on big data shows that big data advantageously complete surveys and censuses, nurture policy making, and highlight effects of a given policy in real time.","PeriodicalId":49859,"journal":{"name":"Mathematical Population Studies","volume":"26 1","pages":"107 - 113"},"PeriodicalIF":1.4000,"publicationDate":"2019-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/08898480.2017.1418113","citationCount":"12","resultStr":"{\"title\":\"Big data in policy making\",\"authors\":\"Biagio Aragona, R. De Rosa\",\"doi\":\"10.1080/08898480.2017.1418113\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT A review of studies based on big data shows that big data advantageously complete surveys and censuses, nurture policy making, and highlight effects of a given policy in real time.\",\"PeriodicalId\":49859,\"journal\":{\"name\":\"Mathematical Population Studies\",\"volume\":\"26 1\",\"pages\":\"107 - 113\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2019-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/08898480.2017.1418113\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematical Population Studies\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1080/08898480.2017.1418113\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"DEMOGRAPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Population Studies","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/08898480.2017.1418113","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
ABSTRACT A review of studies based on big data shows that big data advantageously complete surveys and censuses, nurture policy making, and highlight effects of a given policy in real time.
期刊介绍：
Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions.
The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
