Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Data Justice and COVID-19 PDF full book. Access full book title Data Justice and COVID-19 by Linnet Taylor. Download full books in PDF and EPUB format.
Author: Linnet Taylor Publisher: ISBN: 9781913824006 Category : Languages : en Pages :
Book Description
COVID-19 has reshaped how social, economic, and political power is created and exerted through technology.Through international case studies, this book analyses how technologies of monitoring infections, information, and behaviour have been applied and justified during the emergency, what their side-effects have been, and what kinds of resistance they have met.
Author: Linnet Taylor Publisher: ISBN: 9781913824006 Category : Languages : en Pages :
Book Description
COVID-19 has reshaped how social, economic, and political power is created and exerted through technology.Through international case studies, this book analyses how technologies of monitoring infections, information, and behaviour have been applied and justified during the emergency, what their side-effects have been, and what kinds of resistance they have met.
Author: Linnet Taylor Publisher: ISBN: 9781913824006 Category : Languages : en Pages :
Book Description
COVID-19 has reshaped how social, economic, and political power is created and exerted through technology.Through international case studies, this book analyses how technologies of monitoring infections, information, and behaviour have been applied and justified during the emergency, what their side-effects have been, and what kinds of resistance they have met.
Author: Sasha Costanza-Chock Publisher: MIT Press ISBN: 0262043459 Category : Design Languages : en Pages : 358
Book Description
An exploration of how design might be led by marginalized communities, dismantle structural inequality, and advance collective liberation and ecological survival. What is the relationship between design, power, and social justice? “Design justice” is an approach to design that is led by marginalized communities and that aims expilcitly to challenge, rather than reproduce, structural inequalities. It has emerged from a growing community of designers in various fields who work closely with social movements and community-based organizations around the world. This book explores the theory and practice of design justice, demonstrates how universalist design principles and practices erase certain groups of people—specifically, those who are intersectionally disadvantaged or multiply burdened under the matrix of domination (white supremacist heteropatriarchy, ableism, capitalism, and settler colonialism)—and invites readers to “build a better world, a world where many worlds fit; linked worlds of collective liberation and ecological sustainability.” Along the way, the book documents a multitude of real-world community-led design practices, each grounded in a particular social movement. Design Justice goes beyond recent calls for design for good, user-centered design, and employment diversity in the technology and design professions; it connects design to larger struggles for collective liberation and ecological survival.
Author: Adi Kuntsman Publisher: Policy Press ISBN: 1529234654 Category : Science Languages : en Pages : 196
Book Description
Leading experts in the field ask what digital justice looks like in a time of pandemic across various interdisciplinary contexts and spheres in science, technology and society from public health to education, politics and everyday life.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309683572 Category : Law Languages : en Pages : 161
Book Description
The conditions and characteristics of correctional facilities - overcrowded with rapid population turnover, often in old and poorly ventilated structures, a spatially concentrated pattern of releases and admissions in low-income communities of color, and a health care system that is siloed from community public health - accelerates transmission of the novel coronavirus (SARS-CoV-2) responsible for COVID-19. Such conditions increase the risk of coming into contact with the virus for incarcerated people, correctional staff, and their families and communities. Relative to the general public, moreover, incarcerated individuals have a higher prevalence of chronic health conditions such as asthma, hypertension, and cardiovascular disease, making them susceptible to complications should they become infected. Indeed, cumulative COVID-19 case rates among incarcerated people and correctional staff have grown steadily higher than case rates in the general population. Decarcerating Correctional Facilities during COVID-19 offers guidance on efforts to decarcerate, or reduce the incarcerated population, as a response to COIVD-19 pandemic. This report examines best practices for implementing decarceration as a response to the pandemic and the conditions that support safe and successful reentry of those decarcerated.
Author: Andreas Hepp Publisher: Springer Nature ISBN: 303096180X Category : Digital media Languages : en Pages : 480
Book Description
This Open Access book examines the ambivalences of data power. Firstly, the ambivalences between global infrastructures and local invisibilities challenge the grand narrative of the ephemeral nature of a global data infrastructure. They make visible local working and living conditions, and the resources and arrangements required to operate and run them. Secondly, the book examines ambivalences between the state and data justice. It considers data justice in relation to state surveillance and data capitalism, and reflects on the ambivalences between an "entrepreneurial state" and a "welfare state." Thirdly, the authors discuss ambivalences of everyday practices and collective action, in which civil society groups, communities, and movements try to position the interests of people against the "big players" in the tech industry. The book includes eighteen chapters that provide new and varied perspectives on the role of data and data infrastructures in our increasingly datafied societies. Andreas Hepp is Professor of Media and Communications and Head of ZeMKI, Centre for Media, Communication and Information Research, University of Bremen, Germany. He is the author of 12 monographs including The Mediated Construction of Reality (with Nick Couldry, 2017), Transcultural Communication (2015) and Cultures of Mediatization (2013). Juliane Jarke is a senior researcher at the Institute for Information Management Bremen (ifi b) and Centre for Media, Communication and Information Research (ZeMKI) at the University of Bremen, Germany. Jarke co-edited The Datafication of Education (with Andreas Breiter, 2019) and Probes as Participatory Design Practice (with Susanne Maa, 2018). Leif Kramp is a post-doctoral media, communication and history scholar and Research Coordinator of the Centre for Media, Communication and Information Research at the University of Bremen (ZeMKI), Germany. Kramp has authored and edited various books about the transformation of media and journalism and is a founding member of the German Association of Media and Journalism Criticism (VfMJ).
Author: David Lyon Publisher: John Wiley & Sons ISBN: 1509550321 Category : Social Science Languages : en Pages : 94
Book Description
The COVID-19 pandemic has disrupted life as we knew it. Lockdowns, self-isolation and quarantine have become a normal part of everyday life. Pandemic surveillance allows governments and corporations to monitor and surveil the spread of the virus and to make sure citizens follow the measures they put in place. This is evident in the massive, unprecedented mobilization of public health data to contain and combat the virus, and the ballooning of surveillance technologies such as contact-tracing apps, facial recognition, and population tracking. This can also be seen as a pandemic of surveillance. In this timely book, David Lyon tracks the development of these methods, examining different forms of pandemic surveillance, in health-related and other areas, from countries around the world. He explores their benefits and disadvantages, their legal status, and how they relate to privacy protection, an ethics of care, and data justice. Questioning whether this new culture of surveillance will become a permanent feature of post-pandemic societies and the long-term negative effects this might have on social inequalities and human freedoms, Pandemic Surveillance highlights the magnitude of COVID-19-related surveillance expansion. The book also underscores the urgent need for new policies relating to surveillance and data justice in the twenty-first century.
Author: Lina Dencik Publisher: SAGE ISBN: 1529764939 Category : Law Languages : en Pages : 177
Book Description
"The definitive book on the social, political, and economic dimensions of data." - Vincent Mosco, author of The Smart City in a Digital World "An essential handbook for those invested in reclaiming our digital space." - Payal Arora, author of The Next Billion Users and FemLab Co-Founder In an age of datafication, the systematic collection, analysis and exploitation of data impacts all aspects of our social lives. Crucially, there are winners and losers in this. From access to services, to the risk of being wrongfully targeted, to our very understanding of the social world and what we think matters in it. Data Justice is a cutting-edge exploration of the power relations that lay at the heart of our datafied lives. It outlines the intricate relationship between datafication and social justice, exploring how societies are, will, and should be affected by data-driven technology and automation. From data capitalism and data colonialism, to data harms and data activism – this book is an expert guide to the debates central to understanding the injustices of life in a datafied society. It is also an urgent and impassioned call to challenge and reimagine these injustices. To work collectively to achieve a fairer and more just future. Data Justice is an essential resource for anyone working and studying across critical data studies, and anyone interested in the social consequences of big data, smart technology and AI. Dr Lina Dencik, Dr Arne Hintz, Dr Joanna Redden and Dr Emiliano Treré are co-Directors of the Data Justice Lab at Cardiff University.
Book Description
Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations. Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.
Author: Catherine D'Ignazio Publisher: MIT Press ISBN: 026254718X Category : Social Science Languages : en Pages : 328
Book Description
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
Author: Linnet Taylor
Author: Linnet Taylor
Author: Sasha Costanza-Chock
Author: Adi Kuntsman
Author: National Academies of Sciences, Engineering, and Medicine
Author: Andreas Hepp
Author: David Lyon
Author: Lina Dencik
Author: Joao Alexandre Lobo Marques
Author: Catherine D'Ignazio