| 期刊全称 | Big Data Analytics in U.S. Courts | | 期刊简称 | Uses, Challenges, an | | 影响因子2023 | Dwight Steward,Roberto Cavazos | | 视频video | | | 发行地址 | Examines the use and evolution of Big Data as legal evidence.Discusses the differing treatment of Big Data in different U.S. courts and areas of law.Looks at inherent and key contradictions between Bi | | 学科分类 | Palgrave Advances in the Economics of Innovation and Technology | | 图书封面 |  | | 影响因子 | 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.. | | Pindex | Book 2019 |
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发表于 2025-3-21 16:37:14
