{"title":"数据科学的褪色光泽:面对发展和人道主义行动大数据挑战的议程。","authors":"Miren Gutierrez, John Bryant","doi":"10.1057/s41301-022-00327-2","DOIUrl":null,"url":null,"abstract":"<p><p>Different UN and international agencies are busy trying to leverage big data to unlock its value for evidence-based decision-making in development and humanitarian action. But many vulnerable people are invisible to the data infrastructure, while just integrating their data without understanding the consequences can make them even more vulnerable. This article unpacks the challenges presented by data science for development and humanitarianism.</p>","PeriodicalId":72792,"journal":{"name":"Development (Society for International Development)","volume":"65 1","pages":"80-93"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814791/pdf/","citationCount":"1","resultStr":"{\"title\":\"The Fading Gloss of Data Science: Towards an Agenda that Faces the Challenges of Big Data for Development and Humanitarian Action.\",\"authors\":\"Miren Gutierrez, John Bryant\",\"doi\":\"10.1057/s41301-022-00327-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Different UN and international agencies are busy trying to leverage big data to unlock its value for evidence-based decision-making in development and humanitarian action. But many vulnerable people are invisible to the data infrastructure, while just integrating their data without understanding the consequences can make them even more vulnerable. This article unpacks the challenges presented by data science for development and humanitarianism.</p>\",\"PeriodicalId\":72792,\"journal\":{\"name\":\"Development (Society for International Development)\",\"volume\":\"65 1\",\"pages\":\"80-93\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814791/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Development (Society for International Development)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1057/s41301-022-00327-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2022/2/4 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Development (Society for International Development)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1057/s41301-022-00327-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/2/4 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
The Fading Gloss of Data Science: Towards an Agenda that Faces the Challenges of Big Data for Development and Humanitarian Action.
Different UN and international agencies are busy trying to leverage big data to unlock its value for evidence-based decision-making in development and humanitarian action. But many vulnerable people are invisible to the data infrastructure, while just integrating their data without understanding the consequences can make them even more vulnerable. This article unpacks the challenges presented by data science for development and humanitarianism.
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