Special Issue "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)

Special Issue Editors

Guest Editor
Prof. Dr. Nicola Lettieri

1. INAPP - National Institute for Public Policies Analysis, C.so d'Italia 33, 00198 - Rome, Italy
2. Dept. of Law, Economics, Management and Quantitative Methods, University of Sannio, Piazza Arechi II, 82100 - Benevento, Italy
E-Mail
Interests: law and computational social sciences; complexity-inspired approaches to law and policy making; social simulation; normative multi agent systems; social network analysis; visual legal analytics; legal informatics; gamification and legal education; e-government; open data
Guest Editor
Prof. Dr. Radboud Winkels

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
Website | E-Mail
Interests: AI & law; legal informatics Legal Network Analysis; Natural Language Processing; Legal Ontologies
Guest Editor
Dr. Sebastiano Faro

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

Department of Computer Science, University of Salerno, Via Giovanni Paolo II, 84084 Fisciano (SA), Italy
E-Mail
Interests: Privacy; Green and Sustainable Computing; Power-aware software; Social Network Analysis; Criminal Network Analysis; Visualization; Benchmarking; Usability Studies; Open data; Collaborative and Learning Systems; Distributed and Intermediary Systems
Guest Editor
Dr. Dazza Greenwood

Human Dynamics Lab - MIT Media Laboratories, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
E-Mail
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 papers will be 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 850 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)

View options order results:
result details:
Displaying articles 1-4
Export citation of selected articles as:

Research

Open AccessArticle The GDPR beyond Privacy: Data-Driven Challenges for Social Scientists, Legislators and Policy-Makers
Future Internet 2018, 10(7), 62; https://doi.org/10.3390/fi10070062
Received: 8 April 2018 / Revised: 11 June 2018 / Accepted: 4 July 2018 / Published: 6 July 2018
PDF Full-text (237 KB) | HTML Full-text | XML Full-text
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
Open AccessArticle On the Future of Legal Publishing Services in the Semantic Web
Future Internet 2018, 10(6), 48; https://doi.org/10.3390/fi10060048
Received: 16 March 2018 / Revised: 23 May 2018 / Accepted: 30 May 2018 / Published: 5 June 2018
PDF Full-text (229 KB) | HTML Full-text | XML Full-text
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
Figures

Figure 1

Open AccessFeature PaperArticle Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science
Future Internet 2018, 10(5), 37; https://doi.org/10.3390/fi10050037
Received: 16 March 2018 / Revised: 18 April 2018 / Accepted: 23 April 2018 / Published: 26 April 2018
PDF Full-text (1789 KB) | HTML Full-text | XML Full-text
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
Figures

Figure 1

Open AccessArticle Challenges When Using Jurimetrics in Brazil—A Survey of Courts
Future Internet 2017, 9(4), 68; https://doi.org/10.3390/fi9040068
Received: 1 October 2017 / Revised: 11 October 2017 / Accepted: 16 October 2017 / Published: 25 October 2017
PDF Full-text (775 KB) | HTML Full-text | XML Full-text
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
Figures

Figure 1

Back to Top