|
|
|
|
LEADER |
03565nam a2200529 4500 |
001 |
978-3-030-31780-5 |
003 |
DE-He213 |
005 |
20191220125335.0 |
007 |
cr nn 008mamaa |
008 |
191114s2019 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
|
040 |
|
|
|d GrThAP
|
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
|
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.
|
650 |
|
0 |
|a Economic policy.
|
650 |
|
0 |
|a Public finance.
|
650 |
1 |
4 |
|a Law and Economics.
|0 http://scigraph.springernature.com/things/product-market-codes/W39000
|
650 |
2 |
4 |
|a R & D/Technology Policy.
|0 http://scigraph.springernature.com/things/product-market-codes/W43000
|
650 |
2 |
4 |
|a Public Economics.
|0 http://scigraph.springernature.com/things/product-market-codes/W34000
|
700 |
1 |
|
|a Cavazos, Roberto.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
|
710 |
2 |
|
|a SpringerLink (Online service)
|
773 |
0 |
|
|t Springer eBooks
|
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
|
856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-31780-5
|z Full Text via HEAL-Link
|
912 |
|
|
|a ZDB-2-ECF
|
950 |
|
|
|a Economics and Finance (Springer-41170)
|