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Big Data Analytics in U.S. Courts : Uses, Challenges, and Implications / by Dwight Steward, Roberto Cavazos
(Palgrave Advances in the Economics of Innovation and Technology. ISSN:26623870)

出版者 (Cham : Springer International Publishing : Imprint: Palgrave Pivot)
出版年 2019
1st ed. 2019.
著者標目 *Steward, Dwight author
Cavazos, Roberto author
SpringerLink (Online service)

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OB00151663 Springer Economics and Finance eBooks (電子ブック) 9783030317805

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データ種別 電子ブック
資料種別 機械可読データファイル
大きさ VII, 86 p : online resource
一般注記 1. Data Analytics and Litigation -- 2. History of Data Analysis in US Courts -- 3. Examples of Litigation Involving Big Data Analytics -- 4. The Courts as Gatekeeper of Big Data Evidence -- 5. Indirect Use of Big Data Analytics in US Courts -- 6. Future Challenges and Recommendations
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
HTTP:URL=https://doi.org/10.1007/978-3-030-31780-5
件 名 LCSH:Law and economics
LCSH:Economic policy
LCSH:Public finance
FREE:Law and Economics
FREE:R & D/Technology Policy
FREE:Public Economics
分 類 LCC:HB73
DC23:330
書誌ID 8000065515
ISBN 9783030317805

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