{"title":"The Impact of Inequalities on Data Policies: Favelas Unified Dashboard Case Study","authors":"Elisa Maria Campos","doi":"10.1177/08944393231225526","DOIUrl":null,"url":null,"abstract":"Data is the new asset of the current digital revolution. It is heralded as the “new oil” that will transform the world and function as a magic tool for development policies, with great potential to solve global health dilemmas. However, deep societal inequalities give datafication the risk of escalating disparities through data policies instead of solving them. The pandemic unmasked the price to pay for ignoring deep inequalities, helping this research to answer the question: “How did inequalities impact data policies for the Covid-19 pandemic in Brazil?” To investigate this link, the author develops a theoretical model linking the World-historical model of relational inequalities to the capability approach and data colonization theory. This model sustains the analysis of the data collected in 5 months of participant observation in the Covid-19 Favelas Unified Dashboard plus governmental data analysis and semi-structured interviews with data policymakers for Covid-19 in Brazil. As a result, the author demonstrates how inequalities worked as a trap for data policies and argues that data inequalities go beyond the digital divide. Data inequalities skyrocket vulnerability of the poor, increasing contamination rates, and inhibiting development.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Science Computer Review","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/08944393231225526","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Data is the new asset of the current digital revolution. It is heralded as the “new oil” that will transform the world and function as a magic tool for development policies, with great potential to solve global health dilemmas. However, deep societal inequalities give datafication the risk of escalating disparities through data policies instead of solving them. The pandemic unmasked the price to pay for ignoring deep inequalities, helping this research to answer the question: “How did inequalities impact data policies for the Covid-19 pandemic in Brazil?” To investigate this link, the author develops a theoretical model linking the World-historical model of relational inequalities to the capability approach and data colonization theory. This model sustains the analysis of the data collected in 5 months of participant observation in the Covid-19 Favelas Unified Dashboard plus governmental data analysis and semi-structured interviews with data policymakers for Covid-19 in Brazil. As a result, the author demonstrates how inequalities worked as a trap for data policies and argues that data inequalities go beyond the digital divide. Data inequalities skyrocket vulnerability of the poor, increasing contamination rates, and inhibiting development.
期刊介绍:
Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.