Big Data A Tool For Inclusion Or Exclusion Understanding The Issues
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Big Data A Tool For Inclusion Or Exclusion Understanding The Issues
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Author : Federal Trade Federal Trade Commission
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2016-07-18
Big Data A Tool For Inclusion Or Exclusion Understanding The Issues written by Federal Trade Federal Trade Commission and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-18 with categories.
We are in the era of big data. With a smartphone now in nearly every pocket, a computer in nearly every household, and an ever-increasing number of Internet-connected devices in the marketplace, the amount of consumer data flowing throughout the economy continues to increase rapidly. The analysis of this data is often valuable to companies and to consumers, as it can guide the development of new products and services, predict the preferences of individuals, help tailor services and opportunities, and guide individualized marketing. At the same time, advocates, academics, and others have raised concerns about whether certain uses of big data analytics may harm consumers, particularly lowincome and underserved populations. To explore these issues, the Federal Trade Commission ("FTC" or "the Commission") held a public workshop, Big Data: A Tool for Inclusion or Exclusion?, on September 15, 2014. The workshop brought together stakeholders to discuss both the potential of big data to create opportunities for consumers and to exclude them from such opportunities. The Commission has synthesized the information from the workshop, a prior FTC seminar on alternative scoring products, and recent research to create this report. Though "big data" encompasses a wide range of analytics, this report addresses only the commercial use of big data consisting of consumer information and focuses on the impact of big data on low-income and underserved populations. Of course, big data also raises a host of other important policy issues, such as notice, choice, and security, among others. Those, however, are not the primary focus of this report. As "little" data becomes "big" data, it goes through several phases. The life cycle of big data can be divided into four phases: (1) collection; (2) compilation and consolidation; (3) analysis; and (4) use. This report focuses on the fourth phase and discusses the benefits and risks created by the use of big data analytics; the consumer protection and equal opportunity laws that currently apply to big data; research in the field of big data; and lessons that companies should take from the research. Ultimately, this report is intended to educate businesses on important laws and research that are relevant to big data analytics and provide suggestions aimed at maximizing the benefits and minimizing its risks.
The Politics And Policies Of Big Data
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Author : Ann Rudinow Sætnan
language : en
Publisher: Routledge
Release Date : 2018-05-08
The Politics And Policies Of Big Data written by Ann Rudinow Sætnan and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-08 with Social Science categories.
Big Data, gathered together and re-analysed, can be used to form endless variations of our persons - so-called ‘data doubles’. Whilst never a precise portrayal of who we are, they unarguably contain glimpses of details about us that, when deployed into various routines (such as management, policing and advertising) can affect us in many ways. How are we to deal with Big Data? When is it beneficial to us? When is it harmful? How might we regulate it? Offering careful and critical analyses, this timely volume aims to broaden well-informed, unprejudiced discourse, focusing on: the tenets of Big Data, the politics of governance and regulation; and Big Data practices, performance and resistance. An interdisciplinary volume, The Politics of Big Data will appeal to undergraduate and postgraduate students, as well as postdoctoral and senior researchers interested in fields such as Technology, Politics and Surveillance.
Guide To Big Data Applications
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Author : S. Srinivasan
language : en
Publisher: Springer
Release Date : 2017-05-25
Guide To Big Data Applications written by S. Srinivasan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Technology & Engineering categories.
This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and experience. This book is intended to help spur further innovation in big data. The research is presented in a way that allows readers, regardless of their field of study, to learn from how applications have proven successful and how similar applications could be used in their own field. Contributions stem from researchers in fields such as physics, biology, energy, healthcare, and business. The contributors also discuss important topics such as fraud detection, privacy implications, legal perspectives, and ethical handling of big data.
Big Data And Armed Conflict
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Author : Laura A. Dickinson
language : en
Publisher: Oxford University Press
Release Date : 2023
Big Data And Armed Conflict written by Laura A. Dickinson and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Law categories.
"Data is emerging as a key component of military operations, both on and off the battlefield. Large troves of data generated by new information technologies-often termed "big data"-are growing ever more important to a range of military functions. Military forces and other actors will increasingly need to acquire, evaluate, and utilize such data in many combat contexts. At the same time, those forces can gain advantages by targeting adversaries' data and data systems. And a multitude of actors within armed conflict, including humanitarian and human rights organizations, can also use big data to deliver aid or identify atrocities. Such myriad uses of big data raise challenging interpretive questions under international humanitarian law (IHL), the jus ad bellum, and international human rights law. This book is the first of its kind to examine how these bodies of international law might apply to the uses of big data specifically. Focusing on IHL, the book also assesses how jus ad bellum categories might translate to operations involving big data below the armed conflict threshold. And because big data is profoundly transforming modern life off the battlefield as well, the book explores questions beyond the role of big data within weapons systems and other military capabilities to questions about the nature of civilian harm and scope of individual rights. This book offers a range of approaches and ideas to this timely issue, and offers an initial roadmap for scholars, policymakers, and advocates to follow as they address the challenges still to come"--
Youth Exclusion And Empowerment In The Contemporary Global Order
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Author : Oláyínká Àkànle
language : en
Publisher: Emerald Group Publishing
Release Date : 2022-08-16
Youth Exclusion And Empowerment In The Contemporary Global Order written by Oláyínká Àkànle and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-16 with Social Science categories.
The second of two volumes filling a gap in the literature in understanding and responding to this grand challenge, this edited collection focuses particularly on the impact and complex consequences of migration, youth experiences and the functioning of digital spaces, and the shaping of youth identity through exposure to both.
Data Profiling And Insurance Law
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Author : Brendan McGurk
language : en
Publisher: Bloomsbury Publishing
Release Date : 2019-03-21
Data Profiling And Insurance Law written by Brendan McGurk and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-21 with Law categories.
The winner of the 2020 British Insurance Law Association Book Prize, this timely, expertly written book looks at the legal impact that the use of 'Big Data' will have on the provision – and substantive law – of insurance. Insurance companies are set to become some of the biggest consumers of big data which will enable them to profile prospective individual insureds at an increasingly granular level. More particularly, the book explores how: (i) insurers gain access to information relevant to assessing risk and/or the pricing of premiums; (ii) the impact which that increased information will have on substantive insurance law (and in particular duties of good faith disclosure and fair presentation of risk); and (iii) the impact that insurers' new knowledge may have on individual and group access to insurance. This raises several consequential legal questions: (i) To what extent is the use of big data analytics to profile risk compatible (at least in the EU) with the General Data Protection Regulation? (ii) Does insurers' ability to parse vast quantities of individual data about insureds invert the information asymmetry that has historically existed between insured and insurer such as to breathe life into insurers' duty of good faith disclosure? And (iii) by what means might legal challenges be brought against insurers both in relation to the use of big data and the consequences it may have on access to cover? Written by a leading expert in the field, this book will both stimulate further debate and operate as a reference text for academics and practitioners who are faced with emerging legal problems arising from the increasing opportunities that big data offers to the insurance industry.
The Sage Handbook Of Digital Marketing
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Author : Annmarie Hanlon
language : en
Publisher: SAGE
Release Date : 2022-06-10
The Sage Handbook Of Digital Marketing written by Annmarie Hanlon and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10 with Business & Economics categories.
This Handbook strives to advance the study and understanding of this domain and provides a digital marketing journey that flows from methods and methodologies. It moves from the fundamentals to the different aspects of digital marketing strategy, tactics, metrics and management, and ethics.
Refining The Concept Of Scientific Inference When Working With Big Data
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Author : National Academies of Sciences, Engineering, and Medicine
language : en
Publisher: National Academies Press
Release Date : 2017-03-24
Refining The Concept Of Scientific Inference When Working With Big Data written by National Academies of Sciences, Engineering, and Medicine and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-24 with Mathematics categories.
The concept of utilizing big data to enable scientific discovery has generated tremendous excitement and investment from both private and public sectors over the past decade, and expectations continue to grow. Using big data analytics to identify complex patterns hidden inside volumes of data that have never been combined could accelerate the rate of scientific discovery and lead to the development of beneficial technologies and products. However, producing actionable scientific knowledge from such large, complex data sets requires statistical models that produce reliable inferences (NRC, 2013). Without careful consideration of the suitability of both available data and the statistical models applied, analysis of big data may result in misleading correlations and false discoveries, which can potentially undermine confidence in scientific research if the results are not reproducible. In June 2016 the National Academies of Sciences, Engineering, and Medicine convened a workshop to examine critical challenges and opportunities in performing scientific inference reliably when working with big data. Participants explored new methodologic developments that hold significant promise and potential research program areas for the future. This publication summarizes the presentations and discussions from the workshop.
Digital Media And Democratic Futures
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Author : Michael X. Delli Carpini
language : en
Publisher: University of Pennsylvania Press
Release Date : 2019-03-22
Digital Media And Democratic Futures written by Michael X. Delli Carpini and has been published by University of Pennsylvania Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-22 with Political Science categories.
The revolution in digital communications has altered the relationship between citizens and political elites, with important implications for democracy. As new information ecosystems have evolved, as unforeseen examples of their positive and negative consequences have emerged, and as theorizing, data, and research methods have expanded and improved, the central question has shifted from if the digital information environment is good or bad for democratic politics to how and in what contexts particular attributes of this environment are having an influence. It is only through the careful analysis of specific cases that we can begin to build a more comprehensive and nuanced understanding of the role of digital media in democratic theory and practice. The essays in Digital Media and Democratic Futures focus on a variety of information and communication technologies, politically relevant actors, substantive issues, and digital political practices, doing so from distinct theoretical perspectives and methodological approaches. Individually, each of these case studies provides deep insights into the complex and context-dependent relationship between media and democracy. Collectively, they show that there is no single outcome for democracy in the digital age, only a range of possible futures. Contributors: Rena Bivens, Michael X. Delli Carpini, Jennifer Earl, Thomas Elliott, Deen Freelon, Kelly Gates, Philip N. Howard, Daniel Kreiss, Ting Luo, Helen Nissenbaum, Beth Simone Noveck, Jennifer Pan, Lisa Poggiali, Daniela Stockmann.
Regulating Data Monopolies
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Author : Jingyuan Ma
language : en
Publisher: Springer Nature
Release Date : 2022-01-24
Regulating Data Monopolies written by Jingyuan Ma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-24 with Law categories.
This book analyzes the business model of enterprises in the digital economy by taking an economic and comparative perspective. The aim of this book is to conduct an in-depth analysis of the anti-competitive behavior of companies who monopolize data, and put forward the necessity of regulating data monopoly by exploring the causes and characteristics of their anti-competitive behavior. It studies four aspects of the differences between data monopoly and traditional monopolistic behavior, namely defining the relevant market for data monopolies, the entry barrier, the problem of determining the dominant position of data monopoly, and the influence on consumer welfare. It points out the limitations of traditional regulatory tools and discusses how new regulatory methods could be developed within the competition legal framework to restrict data monopolies. It proposes how economic analytical tools used in traditional anti-monopoly law are facing challenges and how competition enforcement agencies could adjust regulatory methods to deal with new anti-competitive behavior by data monopolies.