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 |
版 | 1st ed. 2019. |
著者標目 | *Steward, Dwight author Cavazos, Roberto author SpringerLink (Online service) |
所蔵情報を非表示
本文リンク | 配架場所 | 巻次 | 請求記号 | 登録番号 | 状態 | コメント | ISBN | 刷 年 | 利用注記 | 予約 |
---|---|---|---|---|---|---|---|---|---|---|
本文リンク | 図書館キャンパス外アクセス可 |
|
OB00151663 | Springer Economics and Finance eBooks (電子ブック) | 9783030317805 |
|
|
書誌詳細を非表示
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 |
類似資料
この資料の利用統計
このページへのアクセス回数:2回