Overview

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.

Full Product Details

Author:   Giovanni Comandé
Publisher:   Edward Elgar Publishing Ltd
Imprint:   Edward Elgar Publishing Ltd
ISBN:  

9781839104589

ISBN 10:   1839104589
Pages:   400
Publication Date:   18 February 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   To order  
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Table of Contents

Contents: Introduction to the Encyclopedia of Law and Data Science: ‘Directions for Use’ ix Giovanni Comand. 1 Access 1 Giulia Schneider 2 Accountability 7 Giulia Schneider 3 Algorithm 12 Letizia Milli and Giulio Rossetti 4 Algorithmic Discrimination 17 Bettina Berendt 5 Algorithmic Fairness 32 Salvatore Ruggieri 6 Anonymity 36 Dino Pedreschi, Roberto Pellungrini, Francesca Pratesi 7 Anonymous Data 41 Lorenzo Dalla Corte 8 Argument Mining 48 Vern R. Walker 9 Artificial General Intelligence 53 Bettina Berendt 10 Bias [definition] 60 Antonio Davola 11 Children (in the Digital Environment) 64 Denise Amram 12 Clustering (see Data Mining and Clustering) 70 13 Computer Programs 70 Guido Noto La Diega 14 Confidentiality 73 Arianna Rossi, Itzel Vazquez Sandoval, Gabriele Lenzini 15 Consent 81 Cesare Bartolini 16 Copyright 83 Caterina Sganga 17 Cybersecurity (in Distributed Computing Systems) 92 Tommaso Cucinotta 18 Database Protection 98 Caterina Sganga 19 Data Breach 105 Anna Monreale, Roberto Pellungrini, Francesca Pratesi 20 Data Mining and Clustering 110 Athanasios Kiourtis, Argyro Mavrogiorgou, Dimosthenis Kyriazis 21 Data Protection 122 Cesare Bartolini 22 Data Protection Impact Assessment 125 Anna Monreale, Roberto Pellungrini, Francesca Pratesi 23 Data Quality 130 Michela Natilli, Salvatore Rinzivillo, Franco Turini 24 Data Subject 134 Gloria Gonz.lez Fuster 25 Decision-making 139 Gianclaudio Malgieri 26 Discrimination Data Analysis 142 Salvatore Ruggieri 27 Disparate Impact (from Software-Based Decision-Making Systems) 146 Jeanna Neefe Matthews 28 Erasure 150 Cesare Bartolini 29 Ethics 153 Giorgia Pozzi and Juan M. Dur.n 30 Explainability 160 Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi 31 Fairness 168 Giulia Schneider 32 Forgotten (Right to Be) 175 Paul De Hert and Vagelis Papakonstantinou 33 Freedom of Information (Freedom of Expression – Access to Public Data) 181 Matteo Monti 34 Governance (of Personal Data Flows) 186 Denise Amram 35 Healthcare (Data Science in) 192 Martina Finocchiaro, Tommaso Banfi, Matteo Vissani, Alberto Mazzoni, Gastone Ciuti 36 Informed Consent 199 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 203 Mario Guglielmetti 38 Legitimate Interest 209 Christopher F. Mondschein and Cosimo Monda 39 Liability 215 Andrea Parziale 40 Machine Learning 223 Luca Pappalardo 41 Mobility Data (Knowledge Discovery from) 227 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) 241 43 Open Data and Public Sector Information 241 Lorenzo Dalla Corte and Bastiaan van Loenen 44 Patents 253 Enrico Bonadio and Hannes Sigurgeirsson 45 Personal Data in the EU Legal System 259 Lorenzo Dalla Corte 46 Portability (of Data) 267 Gianclaudio Malgieri 47 Predictive Analytics 271 Mirco Nanni 48 Privacy 275 Carlotta Rigotti and Alessandra Calvi 49 Privacy by Design 281 Marina Sokolova and Stan Matwin 50 Privacy-Preserving Technologies 291 Josep Domingo-Ferrer 51 Profile/Profiling 300 Salvatore Ruggieri 52 Proportionality 305 Giuseppe Martinico 53 Pseudonymization 310 Anna Monreale, Roberto Pellungrini, Francesca Pratesi 54 Public Interest (Scientific Research and the Legal Grounds) 314 Hanne Elsen, Wessel Damen, Audrey Van Scharen 55 Public Sector Information (see Open Data and Public Sector Information) 318 56 Reasonable Safeguards 318 Andr.s Chomczyk Penedo 57 Scoring 323 Frank Pasquale 58 Software (Computer Programs) 326 Guido Noto La Diega 59 Supervisory Authorities (Powers) 329 Roberto Lattanzi 60 Surveillance 341 Juraj Sajfert 61 Trade Secrets and Data-Driven Innovation in the EU 347 Silvia Scalzini 62 Transparency 354 Giulia Schneider 63 Unfairness [definition] 360 Antonio Davola 64 Vulnerability 363 Gianclaudio Malgieri Analytical index 371 Index

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Edited by Giovanni Comandé, Professor of Law, Sant’Anna School of Advanced Studies (www.santannapisa.it) and Coordinator, LIDER-Lab (www.lider-lab.it)

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