Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science
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...
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doaj-ba5e386ef7ea43d0b0a3ff45a9d409372020-11-24T23:30:14ZengMDPI AGFuture Internet1999-59032018-04-011053710.3390/fi10050037fi10050037Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal ScienceNicola Lettieri0Antonio Altamura1Rosalba Giugno2Alfonso Guarino3Delfina Malandrino4Alfredo Pulvirenti5Francesco Vicidomini6Rocco Zaccagnino7National Institute for Public Policy Analysis (INAPP), 00198 Rome, ItalyDepartment of Computer Science, University of Salerno, 84084 Fisciano, ItalyDepartment of Computer Science, University of Verona, 37134 Verona, ItalyDepartment of Computer Science, University of Salerno, 84084 Fisciano, ItalyDepartment of Computer Science, University of Salerno, 84084 Fisciano, ItalyDepartment of Clinical and Experimental Medicine, University of Catania, 95123 Catania, ItalyDepartment of Computer Science, University of Salerno, 84084 Fisciano, ItalyDepartment of Computer Science, University of Salerno, 84084 Fisciano, ItalyOver 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.http://www.mdpi.com/1999-5903/10/5/37computational scienceanalytical platformscomputational legal sciencelegal informaticsnetwork-based inferencemachine learningcrime analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nicola Lettieri Antonio Altamura Rosalba Giugno Alfonso Guarino Delfina Malandrino Alfredo Pulvirenti Francesco Vicidomini Rocco Zaccagnino |
spellingShingle |
Nicola Lettieri Antonio Altamura Rosalba Giugno Alfonso Guarino Delfina Malandrino Alfredo Pulvirenti Francesco Vicidomini Rocco Zaccagnino Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science Future Internet computational science analytical platforms computational legal science legal informatics network-based inference machine learning crime analysis |
author_facet |
Nicola Lettieri Antonio Altamura Rosalba Giugno Alfonso Guarino Delfina Malandrino Alfredo Pulvirenti Francesco Vicidomini Rocco Zaccagnino |
author_sort |
Nicola Lettieri |
title |
Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science |
title_short |
Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science |
title_full |
Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science |
title_fullStr |
Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science |
title_full_unstemmed |
Ex Machina: Analytical platforms, Law and the Challenges of Computational Legal Science |
title_sort |
ex machina: analytical platforms, law and the challenges of computational legal science |
publisher |
MDPI AG |
series |
Future Internet |
issn |
1999-5903 |
publishDate |
2018-04-01 |
description |
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. |
topic |
computational science analytical platforms computational legal science legal informatics network-based inference machine learning crime analysis |
url |
http://www.mdpi.com/1999-5903/10/5/37 |
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