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Future Internet
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Computation, Law and the Net—The Future of Law in the...
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Computation, Law and the Net—The Future of Law in the Computational Social Science Era

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (30 June 2018) | Viewed by 26570

Special Issue Editors

Dr. Nicola Lettieri

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Guest Editor
1. INAPP - National Institute for Public Policies Analysis, C.so d'Italia 33, 00198 Rome, Italy
2. Department of Law, Economics, Management and Quantitative Methods, University of Sannio, Piazza Arechi II, 82100 Benevento, Italy
Interests: law and computational social science; complexity-inspired approaches to law and policy making; computational legal empiricism, agent-based social simulation; social network analysis; visual legal analytics; techno-regulation, gamification and legal education
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Radboud Winkels

E-Mail Website
Guest Editor
Dean PPLE College, Leibniz Center for Law, Faculty of Law, University of Amsterdam, BG 13a, Vendelstraat 8, Room 2.20, 1000 BA Amsterdam, The Netherlands
Interests: AI & law; legal informatics Legal Network Analysis; Natural Language Processing; Legal Ontologies
Dr. Sebastiano Faro

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Guest Editor
Institute of Legal Information Theory and Techniques of the National Research Council of Italy (ITTIG-CNR), Via dei Barucci 20, 50127 Florence, Italy
Interests: legal informatics; law and computational social science; e-government; automated legal information processing
Dr. Delfina Malandrino

E-Mail Website
Guest Editor
Università di Salerno, Salerno, Italy
Interests: distributed systems on the World Wide Web and intermediaries, collaborative and learning systems, social and network analysis, privacy, green computing and power-aware software, usability studies, visualization, computational social science, computational legal studies, techno-regulation
Special Issues, Collections and Topics in MDPI journals
Dr. Dazza Greenwood

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Guest Editor
Human Dynamics Lab - MIT Media Laboratories, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Interests: computational law; law and big data; big data privacy; legal hacking; legal informatics

Special Issue Information

Dear Colleagues,

Together with the rise of computational power and the data deluge, the growth of the Internet ecosystem is the driver of a deep change in our lives. We are witnessing a development that not only is reshaping economies, societies and institutions worldwide, but is also impacting the way in which science is done.

According to a growing and heterogeneous literature, the computational social science paradigm is drastically increasing our understanding of social dynamics and our ability to manage social complexity. Seen in this perspective, computational social science (CSS) represents a topic of great interest for the legal world. The law itself is at the same time a social phenomenon and an ordering factor of social life. CSS, on the one hand, promises to shed a new light on socio-legal dynamics, on the other, it is gradually providing innovative tools capable to support public institutions in a series of legally relevant activities spanning from policy design to rule making, from regulatory impact analysis to law enforcement. The use of online experiments, sentiment analysis techniques or agent-based social simulations in the legal world are just a few examples of an uncharted scientific and applicative landscape that is worth being explored.

This Special Issue aims at bringing together contributions discussing research issues at a theoretical level or presenting projects and applications of CSS that can be considered relevant for the legal field.

Prof. Dr. Nicola Lettieri
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computational social science
  • law
  • rule making
  • policy design
  • big data
  • data-led science
  • eparticipation
  • e-government
  • social network analysis
  • social media analysis
  • social simulation
  • data visualization
  • quantitative legal prediction
  • online experiments

Published Papers (4 papers)

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Research

11 pages, 237 KiB  
Article
The GDPR beyond Privacy: Data-Driven Challenges for Social Scientists, Legislators and Policy-Makers
by Margherita Vestoso
Future Internet 2018, 10(7), 62; https://doi.org/10.3390/fi10070062 - 06 Jul 2018
Cited by 5 | Viewed by 6346
Abstract
While securing personal data from privacy violations, the new General Data Protection Regulation (GDPR) explicitly challenges policymakers to exploit evidence from social data-mining in order to build better policies. Against this backdrop, two issues become relevant: the impact of Big Data on social [...] Read more.
While securing personal data from privacy violations, the new General Data Protection Regulation (GDPR) explicitly challenges policymakers to exploit evidence from social data-mining in order to build better policies. Against this backdrop, two issues become relevant: the impact of Big Data on social research, and the potential intersection between social data mining, rulemaking and policy modelling. The work aims at contributing to the reflection on some of the implications of the ‘knowledge-based’ policy recommended by the GDPR. The paper is thus split into two parts: the first describes the data-driven evolution of social sciences, raising methodological and epistemological issues; the second focuses on the interplay between data-driven social research, rule-making and policy modelling, in the light of the policy model fostered by GDPR. Some theoretical reflections about the role of evidence in rule-making will be considered to introduce a discussion on the intersection between data-driven social research and policy modelling and to sketch hypotheses on its future evolutions. Full article
(This article belongs to the Special Issue Computation, Law and the Net—The Future of Law in the Computational Social Science Era)
12 pages, 229 KiB  
Article
On the Future of Legal Publishing Services in the Semantic Web
by Enrico Francesconi
Future Internet 2018, 10(6), 48; https://doi.org/10.3390/fi10060048 - 05 Jun 2018
Cited by 5 | Viewed by 4820
Abstract
The development of the Semantic Web represents an essential precondition to the definition of new scenarios for the future Internet. This perspective is of particular interest in the legal information domain for the specialized nature of legal information and the peculiarities of the [...] Read more.
The development of the Semantic Web represents an essential precondition to the definition of new scenarios for the future Internet. This perspective is of particular interest in the legal information domain for the specialized nature of legal information and the peculiarities of the legal users’ information needs. In this paper, the evolution in recent years of the Semantic Web in the legal domain is reviewed, with particular emphasis to the most recent developments related to Linked Open Data initiative and to the role, in the legal Semantic Web, of the Publications Office of the European Union in its two-fold role of public institution and legal publisher. Full article
(This article belongs to the Special Issue Computation, Law and the Net—The Future of Law in the Computational Social Science Era)
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25 pages, 1789 KiB  
Article
Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science
by Nicola Lettieri, Antonio Altamura, Rosalba Giugno, Alfonso Guarino, Delfina Malandrino, Alfredo Pulvirenti, Francesco Vicidomini and Rocco Zaccagnino
Future Internet 2018, 10(5), 37; https://doi.org/10.3390/fi10050037 - 26 Apr 2018
Cited by 11 | Viewed by 7664
Abstract
Over the years, computation has become a fundamental part of the scientific practice in several research fields that goes far beyond the boundaries of natural sciences. Data mining, machine learning, simulations and other computational methods lie today at the hearth of the scientific [...] Read more.
Over the years, computation has become a fundamental part of the scientific practice in several research fields that goes far beyond the boundaries of natural sciences. Data mining, machine learning, simulations and other computational methods lie today at the hearth of the scientific endeavour in a growing number of social research areas from anthropology to economics. In this scenario, an increasingly important role is played by analytical platforms: integrated environments allowing researchers to experiment cutting-edge data-driven and computation-intensive analyses. The paper discusses the appearance of such tools in the emerging field of computational legal science. After a general introduction to the impact of computational methods on both natural and social sciences, we describe the concept and the features of an analytical platform exploring innovative cross-methodological approaches to the academic and investigative study of crime. Stemming from an ongoing project involving researchers from law, computer science and bioinformatics, the initiative is presented and discussed as an opportunity to raise a debate about the future of legal scholarship and, inside of it, about the challenges of computational legal science. Full article
(This article belongs to the Special Issue Computation, Law and the Net—The Future of Law in the Computational Social Science Era)
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775 KiB  
Article
Challenges When Using Jurimetrics in Brazil—A Survey of Courts
by Bruna Armonas Colombo, Pedro Buck and Vinicius Miana Bezerra
Future Internet 2017, 9(4), 68; https://doi.org/10.3390/fi9040068 - 25 Oct 2017
Cited by 5 | Viewed by 6511
Abstract
Jurimetrics is the application of quantitative methods, usually statistics, to law. An important step to implement a jurimetric analysis is to extract raw data from courts and organize that data in a way that can be processed. Most of the raw data is [...] Read more.
Jurimetrics is the application of quantitative methods, usually statistics, to law. An important step to implement a jurimetric analysis is to extract raw data from courts and organize that data in a way that can be processed. Most of the raw data is unstructured and written in natural language, which stands as a challenge to Computer Science experts. As it requires expertise in law, statistics, and computer science, jurimetrics is a multidisciplinary field. When trying to implement a jurimetric system in Brazil, additional challenges were identified due to the heterogeneity of the different court systems, the lack of standards, and how the open data laws in Brazil are interpreted and implemented. In this article, we present a survey of Brazilian courts in terms of readiness to implement a jurimetric system. Analyzing a sample of data, we have found, in light of Brazil’s open data regulation, privacy issues and technical issues. Finally, we propose a roadmap that encompasses both technology and public policy to meet those challenges. Full article
(This article belongs to the Special Issue Computation, Law and the Net—The Future of Law in the Computational Social Science Era)
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