03587nam 22005775 450 991035782690332120200703010337.03-030-31780-310.1007/978-3-030-31780-5(CKB)4100000009844728(MiAaPQ)EBC5978963(DE-He213)978-3-030-31780-5(EXLCZ)99410000000984472820191114d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBig Data Analytics in U.S. Courts[electronic resource] Uses, Challenges, and Implications /by Dwight Steward, Roberto Cavazos1st ed. 2019.Cham :Springer International Publishing :Imprint: Palgrave Pivot,2019.1 online resource (89 pages)Palgrave Advances in the Economics of Innovation and Technology,2662-38623-030-31779-X Includes bibliographical references and index.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.Palgrave Advances in the Economics of Innovation and Technology,2662-3862Law and economicsEconomic policyPublic financeLaw and Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W39000R & D/Technology Policyhttps://scigraph.springernature.com/ontologies/product-market-codes/W43000Public Economicshttps://scigraph.springernature.com/ontologies/product-market-codes/W34000Law and economics.Economic policy.Public finance.Law and Economics.R & D/Technology Policy.Public Economics.347.736Steward Dwightauthttp://id.loc.gov/vocabulary/relators/aut999600Cavazos Robertoauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910357826903321Big Data Analytics in U.S. Courts2294580UNINA