國立虎尾科技大學 |

Big Data Analytics in U.S. Courts = Uses, Challenges, and Implications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big Data Analytics in U.S. Courts/ by Dwight Steward, Roberto Cavazos.
Reminder of title:	Uses, Challenges, and Implications /
Author:	Steward, Dwight.
other author:	Cavazos, Roberto.
Description:	VII, 86 p.online resource. :
Contained By:	Springer Nature eBook
Subject:	Law and economics. -
Online resource:	https://doi.org/10.1007/978-3-030-31780-5
ISBN:	9783030317805

Big Data Analytics in U.S. Courts = Uses, Challenges, and Implications /
Steward, Dwight.

Big Data Analytics in U.S. CourtsUses, Challenges, and Implications /[electronic resource] :by Dwight Steward, Roberto Cavazos. - 1st ed. 2019. - VII, 86 p.online resource. - Palgrave Advances in the Economics of Innovation and Technology,2662-3862. - Palgrave Advances in the Economics of Innovation and Technology,.

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.

ISBN: 9783030317805

Standard No.: 10.1007/978-3-030-31780-5doiSubjects--Topical Terms:

560301
Law and economics.

LC Class. No.: HB73

Dewey Class. No.: 330

Big Data Analytics in U.S. Courts = Uses, Challenges, and Implications /
LDR:02884nam a22004215i 4500 001 1006286
003 DE-He213
005 20200703010337.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030317805 $9 978-3-030-31780-5
024 7 $a 10.1007/978-3-030-31780-5 $2 doi
035 $a 978-3-030-31780-5
050 4 $a HB73
072 7 $a LBBM $2 bicssc
072 7 $a LAW014000 $2 bisacsh
072 7 $a LBBM $2 thema
072 7 $a LNC $2 thema
082 0 4 $a 330 $2 23
100 1 $a Steward, Dwight. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1299808
245 1 0 $a Big Data Analytics in U.S. Courts $h [electronic resource] : $b Uses, Challenges, and Implications / $c by Dwight Steward, Roberto Cavazos.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Pivot, $c 2019.
300 $a VII, 86 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Palgrave Advances in the Economics of Innovation and Technology, $x 2662-3862
505 0 $a 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.
520 $a 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.
650 0 $a Law and economics. $3 560301
650 0 $a Economic policy. $3 555567
650 0 $a Public finance. $2 bicssc $3 809028
650 1 4 $a Law and Economics. $3 669261
650 2 4 $a R & D/Technology Policy. $3 669186
650 2 4 $a Public Economics. $3 1069070
700 1 $a Cavazos, Roberto. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1299809
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030317799
776 0 8 $i Printed edition: $z 9783030317812
776 0 8 $i Printed edition: $z 9783030317829
830 0 $a Palgrave Advances in the Economics of Innovation and Technology, $x 2662-3862 $3 1270333
856 4 0 $u https://doi.org/10.1007/978-3-030-31780-5
912 $a ZDB-2-ECF
912 $a ZDB-2-SXEF
950 $a Economics and Finance (SpringerNature-41170)
950 $a Economics and Finance (R0) (SpringerNature-43720)