{"title":"Victor Papanek:现实世界的设计师","authors":"Fatima Cassim","doi":"10.1080/17547075.2021.2016324","DOIUrl":null,"url":null,"abstract":"sider context and push back against power structures that need not only to be re-examined, but re-designed. Data has a way of reifying power because data collections, charts, and maps often claim neutrality and objectivity. Yet the authors make a persuasive case that data is never neutral. Data always carries the biases and perspectives of their creators. The lively tone, vivid stories, and illustrations made this book a quick, accessible read. Yet the principles left me with practical guidelines to use long-term in my academic work. In particular, I will seek to Consider Context, remembering the individual amongst the data – even as it gets aggregated. I will Embrace Pluralism to involve the people from whom data was gathered in the use of their data. And of course, while working this way, I will always Examine Power. I highly recommend reading and enacting Data Feminism as a way to open your mind – whether you are new to working with data or come with years of experience in the field. This is not a book to read and set aside; it’s a guide for moving forward and pushing back. And Data Feminism is not just a book for women. It’s a book for everyone.","PeriodicalId":44307,"journal":{"name":"Design and Culture","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Victor Papanek: Designer for the Real World\",\"authors\":\"Fatima Cassim\",\"doi\":\"10.1080/17547075.2021.2016324\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"sider context and push back against power structures that need not only to be re-examined, but re-designed. Data has a way of reifying power because data collections, charts, and maps often claim neutrality and objectivity. Yet the authors make a persuasive case that data is never neutral. Data always carries the biases and perspectives of their creators. The lively tone, vivid stories, and illustrations made this book a quick, accessible read. Yet the principles left me with practical guidelines to use long-term in my academic work. In particular, I will seek to Consider Context, remembering the individual amongst the data – even as it gets aggregated. I will Embrace Pluralism to involve the people from whom data was gathered in the use of their data. And of course, while working this way, I will always Examine Power. I highly recommend reading and enacting Data Feminism as a way to open your mind – whether you are new to working with data or come with years of experience in the field. This is not a book to read and set aside; it’s a guide for moving forward and pushing back. And Data Feminism is not just a book for women. It’s a book for everyone.\",\"PeriodicalId\":44307,\"journal\":{\"name\":\"Design and Culture\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Design and Culture\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/17547075.2021.2016324\",\"RegionNum\":3,\"RegionCategory\":\"艺术学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"ART\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Design and Culture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17547075.2021.2016324","RegionNum":3,"RegionCategory":"艺术学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"ART","Score":null,"Total":0}
sider context and push back against power structures that need not only to be re-examined, but re-designed. Data has a way of reifying power because data collections, charts, and maps often claim neutrality and objectivity. Yet the authors make a persuasive case that data is never neutral. Data always carries the biases and perspectives of their creators. The lively tone, vivid stories, and illustrations made this book a quick, accessible read. Yet the principles left me with practical guidelines to use long-term in my academic work. In particular, I will seek to Consider Context, remembering the individual amongst the data – even as it gets aggregated. I will Embrace Pluralism to involve the people from whom data was gathered in the use of their data. And of course, while working this way, I will always Examine Power. I highly recommend reading and enacting Data Feminism as a way to open your mind – whether you are new to working with data or come with years of experience in the field. This is not a book to read and set aside; it’s a guide for moving forward and pushing back. And Data Feminism is not just a book for women. It’s a book for everyone.