Download or read book Statistics New Empiricism and Society in the Era of Big Data written by Giuseppe Arbia and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives. The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.
Download or read book Statistics New Empiricism and Society in the Era of Big Data written by Giuseppe Arbia and published by Springer Nature. This book was released on 2021-04-20 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives. The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.
Download or read book Statistics New Empiricism and Society in the Era of Big Data written by Giuseppe Arbia and published by Springer. This book was released on 2021-04-21 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives. The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.
Download or read book Data Science written by Francesco Palumbo and published by Springer. This book was released on 2017-07-04 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume on the latest advances in data science covers a wide range of topics in the context of data analysis and classification. In particular, it includes contributions on classification methods for high-dimensional data, clustering methods, multivariate statistical methods, and various applications. The book gathers a selection of peer-reviewed contributions presented at the Fifteenth Conference of the International Federation of Classification Societies (IFCS2015), which was hosted by the Alma Mater Studiorum, University of Bologna, from July 5 to 8, 2015.
Download or read book Life and the Law in the Era of Data Driven Agency written by Mireille Hildebrandt and published by Edward Elgar Publishing. This book was released on 2020-01-31 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This ground-breaking and timely book explores how big data, artificial intelligence and algorithms are creating new types of agency, and the impact that this is having on our lives and the rule of law. Addressing the issues in a thoughtful, cross-disciplinary manner, leading scholars in law, philosophy, computer science and politics examine the ways in which data-driven agency is transforming democratic practices and the meaning of individual choice.
Download or read book Big Data for the Greater Good written by Ali Emrouznejad and published by Springer. This book was released on 2018-07-13 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.
Download or read book Big Data Analysis New Algorithms for a New Society written by Nathalie Japkowicz and published by Springer. This book was released on 2015-12-16 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited range. In addition to providing methodological discussions on the principles of mining Big Data and the difference between traditional statistical data analysis and newer computing frameworks, this book presents recently developed algorithms affecting such areas as business, financial forecasting, human mobility, the Internet of Things, information networks, bioinformatics, medical systems and life science. It explores, through a number of specific examples, how the study of Big Data Analysis has evolved and how it has started and will most likely continue to affect society. While the benefits brought upon by Big Data Analysis are underlined, the book also discusses some of the warnings that have been issued concerning the potential dangers of Big Data Analysis along with its pitfalls and challenges.
Download or read book The Rise of Algorithmic Society and the Strategic Role of Arts and Culture written by Luciana Lazzeretti and published by Edward Elgar Publishing. This book was released on 2023-06-01 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: Illustrating the development of Artificial Intelligence (AI) and changes it has generated in the economy, society and culture, this expansive book continues the debate concerning the digital revolution and the rise of the algorithmic society.
Download or read book Spatial Microeconometrics written by Giuseppe Arbia and published by Routledge. This book was released on 2021-03-25 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Microeconometrics introduces the reader to the basic concepts of spatial statistics, spatial econometrics and the spatial behavior of economic agents at the microeconomic level. Incorporating useful examples and presenting real data and datasets on real firms, the book takes the reader through the key topics in a systematic way. The book outlines the specificities of data that represent a set of interacting individuals with respect to traditional econometrics that treat their locational choices as exogenous and their economic behavior as independent. In particular, the authors address the consequences of neglecting such important sources of information on statistical inference and how to improve the model predictive performances. The book presents the theory, clarifies the concepts and instructs the readers on how to perform their own analyses, describing in detail the codes which are necessary when using the statistical language R. The book is written by leading figures in the field and is completely up to date with the very latest research. It will be invaluable for graduate students and researchers in economic geography, regional science, spatial econometrics, spatial statistics and urban economics.
Download or read book Big Data written by Viktor Mayer-Schonberger and published by Hachette UK. This book was released on 2013-03-14 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: New and expanded edition. An International Bestseller - Over One Million Copies Sold! Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award. Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why. We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
Download or read book Ethics and the Scholarship of Teaching and Learning written by Lisa M. Fedoruk and published by Springer Nature. This book was released on 2022-09-07 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses issues related to ethics and the scholarship of teaching and learning, and pays special attention to ethical concerns and experiences that have arisen from engaging in Scholarship of Teaching and Learning (SoTL) work. The book draws on a range of research projects, theoretical frameworks and narrative experiences to provide multiple perspectives of how meaning is made of research ethics in SoTL, academic community and REB partnerships, experiences of Students as Partners in SoTL, and ethically-minded approaches to teaching, learning and inquiry. Specifically, this edited book includes ethical practices that have become increasingly expansive in an ever-evolving academic environment such as navigating pandemic pedagogy and data ownership due to increased online content. In addition, contributions pertaining to academic community partnerships between REBs and faculty detail realistic narratives and lessons learned about how higher education can become more equitable, diverse and inclusive. Subsequently, decolonial ethics for teaching and learning in higher education, as well as participatory parity, exemplify the need for SoTL practitioners to be responsive to the social and cultural realities of a global context in ways that address social inequities and social responsibility. Relational ethics by way of student perspectives on vulnerability and classroom-based SoTL research underscore the need for students to be taught about their own agency as a means of providing student voice within SoTL work. Lastly, this book celebrates how ethically-minded approaches to teaching, learning and inquiry uncover strategies and pedagogy that encourage concepts such as ethical imagination and systems and design thinking practices.
Download or read book Big Data in Complex and Social Networks written by My T. Thai and published by Chapman and Hall/CRC. This book was released on 2016-01-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ultimate objective of this book is to provide the academic and industrial communities with an in-depth introduction to the recent advances in development, theory, and impacts of Big Data, tailored to applications in complex and social networks. Specifically, the book focuses on how to retrieve, store, manipulate and analyze data and how to develop new tools and techniques to study and visualize massive datasets in the domain of complex and social networks.
Download or read book Data Science From Research to Application written by Mahdi Bohlouli and published by Springer. This book was released on 2020-01-29 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, “Data Science” was listed as LinkedIn’s fastest-growing job in 2017. This book presents selected papers from the International Conference on Contemporary Issues in Data Science (CiDaS 2019), a professional data science event that provided a real workshop (not “listen-shop”) where scientists and scholars had the chance to share ideas, form new collaborations, and brainstorm on major challenges; and where industry experts could catch up on emerging solutions to help solve their concrete data science problems. Given its scope, the book will benefit not only data scientists and scientists from other domains, but also industry experts, policymakers and politicians.
Download or read book Research Design in Clinical Psychology written by Alan E. Kazdin and published by Cambridge University Press. This book was released on 2023-09-07 with total page 821 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fully revised and updated, this text offers a comprehensive guide to research methods and research design in clinical psychology.
Download or read book Reframing Algorithms written by Francesco Miele and published by Springer Nature. This book was released on with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Politics and Policies of Big Data written by Ann Rudinow Sætnan and published by Routledge. This book was released on 2018-05-08 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Infoglut written by Mark Andrejevic and published by Routledge. This book was released on 2013-06-26 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, more mediated information is available to more people than at any other time in human history. New and revitalized sense-making strategies multiply in response to the challenges of "cutting through the clutter" of competing narratives and taming the avalanche of information. Data miners, "sentiment analysts," and decision markets offer to help bodies of data "speak for themselves"—making sense of their own patterns so we don’t have to. Neuromarketers and body language experts promise to peer behind people’s words to see what their brains are really thinking and feeling. New forms of information processing promise to displace the need for expertise and even comprehension—at least for those with access to the data. Infoglut explores the connections between these wide-ranging sense-making strategies for an era of information overload and "big data," and the new forms of control they enable. Andrejevic critiques the popular embrace of deconstructive debunkery, calling into question the post-truth, post-narrative, and post-comprehension politics it underwrites, and tracing a way beyond them.
