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A core principle of the welfare state is that everyone pays taxes or contributions in exchange for universal insurance against social risks such as sickness, old age, unemployment, and plain bad luck. This solidarity principle assumes that everyone is a member of a single national insurance pool, and it is commonly explained by poor and asymmetric information, which undermines markets and creates the perception that we are all in the same boat. Living in the midst of an information revolution, this is no longer a satisfactory approach. This book explores, theoretically and empirically, the consequences of 'big data' for the politics of social protection. Torben Iversen and Philipp Rehm argue that more and better data polarize preferences over public insurance and often segment social insurance into smaller, more homogenous, and less redistributive pools, using cases studies of health and unemployment insurance and statistical analyses of life insurance, credit markets, and public opinion.
In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.
Promise, Application and Pitfalls
This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.
You will never look at social media the same way again. Social media are an integral part of contemporary society. From news, warfare, politics, advertising, consumption, entertainment, friendships, labour, and economy to friendships, leisure, language, and everyday life, they have changed the way we communicate, use information and understand the world. Social media shape and are shaped by contemporary society. In order to understand contemporary society we have to ask critical questions about social media. This book is the ultimate guide for digging deeper into issues of ownership, power, class, and (in)justice. This book equips you with a critical understanding of the complexities and contradictions at the heart of social media’s relationship with society. The Fourth Edition contains new chapters and has updated and revised versions of other chapters: · The book includes a new chapter on TikTok in the context of global capitalism and the geopolitical conflict between China and the USA. · It explores new topics such as information and social media warfare in the context of Russia’s invasion of Ukraine, the implications of Elon Musk’s acquisition of Twitter for democracy and the public sphere, the prospects of Twitter-alternative Mastodon, digital fascism, influencers and the attention economy on TikTok, digital capitalism, the role of big data in digital capitalism, The Public Service Media and Public Service Internet Manifesto, social media’s digital alienation, and Putinism and information warfare. · It explores populism, racism, nationalism, militant patriarchy in a chapter on right-wing authoritarianism on social media that includes two case studies of Donald Trump and Putinism. · It analyses the phenomenon of social media influencers in the age of TikTok, Instagram, YouTube, and Snapchat. · It explains in an updated chapter what digital capitalism is and what role big data plays in it. · It explores the growing prominence of platforms and platform capitalism. · It analyses fake news, misinformation, and surveillance capitalism in the context of Facebook, WhatsApp, Cambridge Analytica, and the Internet Research Agency. · It shows why Google is simultaneously the Internet’s God and Satan. · It discusses digital democracy and the digital public sphere in the context of Twitter. · It challenges you to envision and achieve a truly social media that serves the purposes of a just and fair world. · It introduces platform co-operatives and the Public Service Internet. There are winners and losers in the age of digital capitalism. This book is an essential guide for anyone who wants to critically understand how we got to digital capitalism and capitalist social media, what we can do about it, and what a democratic public sphere looks like.
This volume explores how digitalization--in different forms--affects the welfare state. Digitalization is likely to have a lasting impact on work, welfare, and the distribution of income. It will radically transform not only social risks in health, education and the labour market, but also the means by which these risks are addressed. The volume studies how digitalization affects policies as well as the underlying power relationship between actors, i.e. the politics of the welfare state. The volume brings together internationally renowned welfare-state scholars to identify - the socio-economic challenges that result from rapid technological change; - the ensuing political conflicts and struggles in the domain of welfare state reform broadly defined; - how these changes challenge and shape existing labour market and welfare state arrangements. Overall, the volume explains the potential and real political and policy responses to these challenges, grasps the contours of future developments, and reflects on whether the current wave of technological change might promote the emergence of a new paradigm of welfare state policy-making. The rapid and accelerating pace of technological change has potentially radical ramifications for the welfare state that demand an engagement with possible future scenarios. The authors therefore adopt a forward-looking perspective. Based on this approach, the volume uniquely offers a theoretically informed empirical basis for social science and public debates about the long-term implications of the digital revolution for the welfare state, covering a broad range of policy areas such as education, pensions, labour market policies, tax policy, and health care.
Kees van Kersbergen and Barbara Vis explain the political opportunities and constraints of welfare state reform in advanced democracies.
Every day, corporations are connecting the dots about our personal behavior—silently scrutinizing clues left behind by our work habits and Internet use. The data compiled and portraits created are incredibly detailed, to the point of being invasive. But who connects the dots about what firms are doing with this information? The Black Box Society argues that we all need to be able to do so—and to set limits on how big data affects our lives. Hidden algorithms can make (or ruin) reputations, decide the destiny of entrepreneurs, or even devastate an entire economy. Shrouded in secrecy and complexity, decisions at major Silicon Valley and Wall Street firms were long assumed to be neutral and technical. But leaks, whistleblowers, and legal disputes have shed new light on automated judgment. Self-serving and reckless behavior is surprisingly common, and easy to hide in code protected by legal and real secrecy. Even after billions of dollars of fines have been levied, underfunded regulators may have only scratched the surface of this troubling behavior. Frank Pasquale exposes how powerful interests abuse secrecy for profit and explains ways to rein them in. Demanding transparency is only the first step. An intelligible society would assure that key decisions of its most important firms are fair, nondiscriminatory, and open to criticism. Silicon Valley and Wall Street need to accept as much accountability as they impose on others.
This book presents a study of the COVID-19 pandemic using computational social scientific analysis that draws from, and employs, statistics and simulations. Combining approaches in crisis management, risk assessment and mathematical modelling, the work also draws from the philosophy of sacrifice and futurology. It makes an original contribution to the important issue of the stability of society by highlighting two significant factors: the COVID-19 crisis as a catalyst for change and the rise of AI and Big Data in managing society. It also emphasizes the nature and importance of sacrifices and the role of politics in the distribution of sacrifices. The book considers the treatment of AI and Big Data and their use to both “good” and “bad” ends, exposing the inevitability of these tools being used. Relevant to both policymakers and social scientists interested in the influence of AI and Big Data on the structure of society, the book re-evaluates the ways we think of lifestyles, economic systems and the balance of power in tandem with digital transformation.
From predictive policing to self-surveillance to private security, the potential uses to of big data in crime control pose serious legal and ethical challenges relating to privacy, discrimination, and the presumption of innocence. The book is about the impacts of the use of big data analytics on social and crime control and on fundamental liberties. Drawing on research from Europe and the US, this book identifies the various ways in which law and ethics intersect with the application of big data in social and crime control, considers potential challenges to human rights and democracy and recommends regulatory solutions and best practice. This book focuses on changes in knowledge production and the manifold sites of contemporary surveillance, ranging from self-surveillance to corporate and state surveillance. It tackles the implications of big data and predictive algorithmic analytics for social justice, social equality, and social power: concepts at the very core of crime and social control. This book will be of interest to scholars and students of criminology, sociology, politics and socio-legal studies.