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| Author | : Dwight Steward |
| Publisher | : Springer Nature |
| Total Pages | : 86 |
| Release | : 2019-11-14 |
| Genre | : Law |
| ISBN | : 3030317803 |
Download Big Data Analytics in U.S. Courts Book in PDF, ePub and Kindle
This Palgrave Pivot identifies the key legal, economic, and policy issues surrounding the allowance to use and interpret electronic data consistently and in a scientifically valid manner in U.S. courts. Evidence based on the analysis of large amounts of electronic data ("Big Data") plays an increasing role in civil court disputes, providing information that could not have been obtained from a witness stand. While Big Data evidence presents opportunities, it also presents legal and public policy challenges and concerns. How can one be sure that deviations found in Big Data fall outside the norm? If statistical analyses can be conducted and presented different ways, how can judges and juries make sense of conflicting interpretations? When does Big Data extraction stop being investigative and instead become an invasion of privacy? This book traces the history of Big Data use in U.S. courts, couples current case studies with legal challenges to explore key controversies, and suggests how courts can change the way they handle Big Data to ensure that findings are statistically significant and scientifically sound.
| Author | : Michael A. Livermore |
| Publisher | : Seminar |
| Total Pages | : 528 |
| Release | : 2018-12 |
| Genre | : Law |
| ISBN | : 9781947864139 |
Download Law as Data Book in PDF, ePub and Kindle
In recent years, the digitization of legal texts and developments in the fields of statistics, computer science, and data analytics have opened entirely new approaches to the study of law. This volume explores the new field of computational legal analysis, an approach marked by its use of legal texts as data. The emphasis herein is work that pushes methodological boundaries, either by using new tools to study longstanding questions within legal studies or by identifying new questions in response to developments in data availability and analysis. By using the text and underlying data of legal documents as the direct objects of quantitative statistical analysis, Law as Data introduces the legal world to the broad range of computational tools already proving themselves relevant to law scholarship and practice, and highlights the early steps in what promises to be an exciting new approach to studying the law.
| Author | : Thomas Hoeren |
| Publisher | : Springer |
| Total Pages | : 122 |
| Release | : 2017-10-17 |
| Genre | : Law |
| ISBN | : 331962461X |
Download Big Data in Context Book in PDF, ePub and Kindle
This book is open access under a CC BY 4.0 license. This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other. Addressing the interests of researchers and practitioners alike, it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.All contributions are based on papers submitted in connection with ABIDA (Assessing Big Data), an interdisciplinary research project exploring the societal aspects of big data and funded by the German Federal Ministry of Education and Research.This volume was produced as a part of the ABIDA project (Assessing Big Data, 01IS15016A-F). ABIDA is a four-year collaborative project funded by the Federal Ministry of Education and Research. However the views and opinions expressed in this book reflect only the authors’ point of view and not necessarily those of all members of the ABIDA project or the Federal Ministry of Education and Research.
| Author | : Roland Vogl |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 544 |
| Release | : 2021-05-28 |
| Genre | : Law |
| ISBN | : 1788972821 |
Download Research Handbook on Big Data Law Book in PDF, ePub and Kindle
This state-of-the-art Research Handbook provides an overview of research into, and the scope of current thinking in, the field of big data analytics and the law. It contains a wealth of information to survey the issues surrounding big data analytics in legal settings, as well as legal issues concerning the application of big data techniques in different domains.
| Author | : Viktor Mayer-Schönberger |
| Publisher | : Houghton Mifflin Harcourt |
| Total Pages | : 257 |
| Release | : 2013 |
| Genre | : Business & Economics |
| ISBN | : 0544002695 |
Download Big Data Book in PDF, ePub and Kindle
A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.
| Author | : Terence Craig |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 95 |
| Release | : 2011-09-23 |
| Genre | : Computers |
| ISBN | : 1449305008 |
Download Privacy and Big Data Book in PDF, ePub and Kindle
"The players, regulators, and stakeholders"--Cover.
| Author | : Edward J. Walters |
| Publisher | : CRC Press |
| Total Pages | : 215 |
| Release | : 2018-07-16 |
| Genre | : Computers |
| ISBN | : 0429892071 |
Download Data-Driven Law Book in PDF, ePub and Kindle
For increasingly data-savvy clients, lawyers can no longer give "it depends" answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However, on balance, clients would rather have the considered judgment of an experienced lawyer informed by the most relevant information required to answer their questions. Data-Driven Law: Data Analytics and the New Legal Services helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. Its chapters are written by leading experts who cover such topics as: Mining legal data Computational law Uncovering bias through the use of Big Data Quantifying the quality of legal services Data mining and decision-making Contract analytics and contract standards In addition to providing clients with data-based insight, legal firms can track a matter with data from beginning to end, from the marketing spend through to the type of matter, hours spent, billed, and collected, including metrics on profitability and success. Firms can organize and collect documents after a matter and even automate them for reuse. Data on marketing related to a matter can be an amazing source of insight about which practice areas are most profitable. Data-driven decision-making requires firms to think differently about their workflow. Most firms warehouse their files, never to be seen again after the matter closes. Running a data-driven firm requires lawyers and their teams to treat information about the work as part of the service, and to collect, standardize, and analyze matter data from cradle to grave. More than anything, using data in a law practice requires a different mindset about the value of this information. This book helps legal professionals to develop this data-driven mindset.
| Author | : G. Peruginelli |
| Publisher | : IOS Press |
| Total Pages | : 306 |
| Release | : 2019-07-23 |
| Genre | : Computers |
| ISBN | : 1614999856 |
Download Knowledge of the Law in the Big Data Age Book in PDF, ePub and Kindle
The changes brought about by digital technology and the consequent explosion of information known as Big Data have brought opportunities and challenges in all areas of society, and the law is no exception. This book, Knowledge of the Law in the Big Data Age contains a selection of the papers presented at the conference ‘Law via the Internet 2018’, held in Florence, Italy, on 11-12 October 2018. This annual conference of the ‘Free Access to Law Movement’ (http://www.fatlm.org) hosted more than 60 international speakers from universities, government and research bodies as well as EU institutions. Topics covered range from free access to law and Big Data and data analytics in the legal domain, to policy issues concerning access, publishing and the dissemination of legal information, tools to support democratic participation and opportunities for digital democracy. The book is divided into 3 sections: Part I provides an introductory background, covering aspects such as the evolution of legal science and models for representing the law; Part II addresses the present and future of access to law and to various legal information sources; and Part III covers updates in projects, initiatives, and concrete achievements in the field. The book provides an overview of the practical implementation of legal information systems and the tools to manage this special kind of information, as well as some of the critical issues which must be faced, and will be of interest to all those working at the intersection of law and technology.
| Author | : Macnish Kevin Macnish |
| Publisher | : Edinburgh University Press |
| Total Pages | : 256 |
| Release | : 2020-06-18 |
| Genre | : Philosophy |
| ISBN | : 147446355X |
Download Big Data and Democracy Book in PDF, ePub and Kindle
What's wrong with targeted advertising in political campaigns? Should we be worried about echo chambers? How does data collection impact on trust in society? As decision-making becomes increasingly automated, how can decision-makers be held to account? This collection consider potential solutions to these challenges. It brings together original research on the philosophy of big data and democracy from leading international authors, with recent examples - including the 2016 Brexit Referendum, the Leveson Inquiry and the Edward Snowden leaks. And it asks whether an ethical compass is available or even feasible in an ever more digitised and monitored world.
| Author | : Satish V. Ukkusuri |
| Publisher | : Springer |
| Total Pages | : 234 |
| Release | : 2018-07-28 |
| Genre | : Business & Economics |
| ISBN | : 3319758624 |
Download Transportation Analytics in the Era of Big Data Book in PDF, ePub and Kindle
This book presents papers based on the presentations and discussions at the international workshop on Big Data Smart Transportation Analytics held July 16 and 17, 2016 at Tongji University in Shanghai and chaired by Professors Ukkusuri and Yang. The book is intended to explore a multidisciplinary perspective to big data science in urban transportation, motivated by three critical observations: The rapid advances in the observability of assets, platforms for matching supply and demand, thereby allowing sharing networks previously unimaginable. The nearly universal agreement that data from multiple sources, such as cell phones, social media, taxis and transit systems can allow an understanding of infrastructure systems that is critically important to both quality of life and successful economic competition at the global, national, regional, and local levels. There is presently a lack of unifying principles and methodologies that approach big data urban systems. The workshop brought together varied perspectives from engineering, computational scientists, state and central government, social scientists, physicists, and network science experts to develop a unifying set of research challenges and methodologies that are likely to impact infrastructure systems with a particular focus on transportation issues. The book deals with the emerging topic of data science for cities, a central topic in the last five years that is expected to become critical in academia, industry, and the government in the future. There is currently limited literature for researchers to know the opportunities and state of the art in this emerging area, so this book fills a gap by synthesizing the state of the art from various scholars and help identify new research directions for further study.
