rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Big Data Analytics in U.S. Courts
    sub title: Uses, Challenges, and Implications
  name:
    name part: Steward, Dwight.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Cavazos, Roberto.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VII, 86 p. online resource.
  abstract: 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.
  table of contents: 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.
  note: by Dwight Steward, Roberto Cavazos.
  subject:
    topic: Law and economics
  subject:
    topic: Economic policy
  subject:
    topic: Public finance
  subject:
    topic: Law and Economics
  subject:
    topic: R & D/Technology Policy
  subject:
    topic: Public Economics
  classification: HB73
  classification: 330
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Palgrave Advances in the Economics of Innovation and Technology
  identifier: 9783030317805
  identifier: https://doi.org/10.1007/978-3-030-31780-5
  record info:
    record creation date: 191114
    record change date: 20191220125335.0
    record identifier: 978-3-030-31780-5