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Elgar Encyclopedia of Law and Data Science

Elgar Encyclopedia of Law and Data Science

  • Author:
  • Publisher: Edward Elgar Publishing
  • ISBN: 9781839104589
  • Published In: February 2022
  • Format: Hardback
  • Jurisdiction: U.K. ? Disclaimer:
    Countri(es) stated herein are used as reference only

List Price: HKD 2,678.00

HKD 2,597.66 Save HKD 80.34 (3%)

Delivery Time: around 4-5 weeks
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  • Description 
  • Contents 

Details

The Elgar Encyclopedia of Law and Data Science represents a comprehensive mapping of the field. Comprising over 60 entries, it features contributions from eminent global scholars, drawing on expertise from multiple disciplines, including law and data science, economics, computer engineering, physics, biomedical engineering and history, philosophy, neuro-engineering, political science, and geo-informatics.

This Encyclopedia brings together jurists, computer scientists, and data analysts to uncover the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.

Comprehensive yet accessible, this Encyclopedia will be an indispensable resource for scholars of law, data science, artificial intelligence and law and technology. It also contains practical implications for a manifold of users: from domain experts to policy makers, from businesses to practitioners.

Key Features:

  • The first Encyclopedic coverage of the field of Law and Data Science
  • Over 60 entries
  • Entries organized alphabetically for ease of reference
  • Full analytical index
  • Interrelated multidisciplinary perspectives
  • Unique accessibility for non-experts
Introduction to the Encyclopedia of Law and Data Science: ‘Directions for Use’
Giovanni Comand
1. Access
Giulia Schneider
2. Accountability
Giulia Schneider
3. Algorithm
Letizia Milli and Giulio Rossetti
4. Algorithmic Discrimination
Bettina Berendt
5. Algorithmic Fairness
Salvatore Ruggieri
6. Anonymity
Dino Pedreschi, Roberto Pellungrini,
Francesca Pratesi
7. Anonymous Data
Lorenzo Dalla Corte
8. Argument Mining
Vern R. Walker
9. Artificial General Intelligence
Bettina Berendt
10. Bias [definition]
Antonio Davola
11. Children (in the Digital Environment)
Denise Amram
12. Clustering (see Data Mining and Clustering)
13. Computer Programs
Guido Noto La Diega
14. Confidentiality
Arianna Rossi, Itzel Vazquez Sandoval, Gabriele Lenzini
15. Consent
Cesare Bartolini
16. Copyright
Caterina Sganga
17. Cybersecurity (in Distributed Computing Systems)
Tommaso Cucinotta
18. Database Protection
Caterina Sganga
19. Data Breach
Anna Monreale, Roberto Pellungrini, Francesca Pratesi
20. Data Mining and Clustering
Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis
21. Data Protection
Cesare Bartolini
22. Data Protection Impact Assessment
Anna Monreale, Roberto Pellungrini, Francesca Pratesi
23. Data Quality
Michela Natilli, Salvatore Rinzivillo, Franco Turini
24. Data Subject
Gloria Gonz.lez Fuster
25. Decision-making
Gianclaudio Malgieri
26. Discrimination Data Analysis
Salvatore Ruggieri
27. Disparate Impact (from Software-Based Decision-Making Systems)
Jeanna Neefe Matthews
28. Erasure
Cesare Bartolini
29. Ethics
Giorgia Pozzi and Juan M. Dur.n
30. Explainability
Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
31. Fairness
Giulia Schneider
32. Forgotten (Right to Be)
Paul De Hert and Vagelis Papakonstantinou
33. Freedom of Information (Freedom of Expression – Access to Public Data)
Matteo Monti
34. Governance (of Personal Data Flows)
Denise Amram
35. Healthcare (Data Science in)
Martina Finocchiaro, Tommaso Banfi, Matteo Vissani, Alberto Mazzoni, Gastone Ciuti
36. Informed Consent
Danielle da Costa Leite Borges
37. Lawfulness and Necessity (of Possible Limitations on the Fundamental Rights to Privacy and to the Protection of Personal Data) in the EU Legal Order
Mario Guglielmetti
38. Legitimate Interest
Christopher F. Mondschein and Cosimo Monda
39. Liability
Andrea Parziale
40. Machine Learning
Luca Pappalardo
41. Mobility Data (Knowledge Discovery from)
Agnese Bonavita and Giovanni Comand
42. Necessity (see Lawfulness and Necessity (of Possible Limitations on the Fundamental Rights to Privacy
and to the Protection of Personal Data) in the EU Legal Order)
43. Open Data and Public Sector Information
Lorenzo Dalla Corte and Bastiaan van Loenen
44. Patents
Enrico Bonadio and Hannes Sigurgeirsson
45. Personal Data in the EU Legal System
Lorenzo Dalla Corte
46. Portability (of Data)
Gianclaudio Malgieri
47. Predictive Analytics
Mirco Nanni
48. Privacy
Carlotta Rigotti and Alessandra Calvi
49. Privacy by Design
Marina Sokolova and Stan Matwin
50. Privacy-Preserving Technologies
Josep Domingo-Ferrer
51. Profile/Profiling
Salvatore Ruggieri
52. Proportionality
Giuseppe Martinico
53. Pseudonymization
Anna Monreale, Roberto Pellungrini, Francesca Pratesi
54. Public Interest (Scientific Research and the Legal Grounds)
Hanne Elsen, Wessel Damen, Audrey Van Scharen
55. Public Sector Information
(see Open Data and Public Sector
Information)
56. Reasonable Safeguards
Andr.s Chomczyk Penedo
57. Scoring
Frank Pasquale
58. Software (Computer Programs)
Guido Noto La Diega
59. Supervisory Authorities (Powers)
Roberto Lattanzi
60. Surveillance
Juraj Sajfert
61. Trade Secrets and Data-Driven Innovation in the EU
Silvia Scalzini
62. Transparency
Giulia Schneider
63. Unfairness [definition]
Antonio Davola
64. Vulnerability
Gianclaudio Malgieri
Analytical index
Index

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