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Ex Machina : Analytical platforms, Law and the Challenges of Computational Legal Science

Author

Listed:
  • Nicola Lettieri

    (National Institute for Public Policy Analysis (INAPP), 00198 Rome, Italy)

  • Antonio Altamura

    (Department of Computer Science, University of Salerno, 84084 Fisciano, Italy)

  • Rosalba Giugno

    (Department of Computer Science, University of Verona, 37134 Verona, Italy)

  • Alfonso Guarino

    (Department of Computer Science, University of Salerno, 84084 Fisciano, Italy)

  • Delfina Malandrino

    (Department of Computer Science, University of Salerno, 84084 Fisciano, Italy)

  • Alfredo Pulvirenti

    (Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy)

  • Francesco Vicidomini

    (Department of Computer Science, University of Salerno, 84084 Fisciano, Italy)

  • Rocco Zaccagnino

    (Department of Computer Science, University of Salerno, 84084 Fisciano, Italy)

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 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.

Suggested Citation

  • Nicola Lettieri & Antonio Altamura & Rosalba Giugno & Alfonso Guarino & Delfina Malandrino & Alfredo Pulvirenti & Francesco Vicidomini & Rocco Zaccagnino, 2018. "Ex Machina : Analytical platforms, Law and the Challenges of Computational Legal Science," Future Internet, MDPI, vol. 10(5), pages 1-25, April.
    • Handle: RePEc:gam:jftint:v:10:y:2018:i:5:p:37-:d:143484
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    References listed on IDEAS

    as
    1. Christoph Engel, 2013. "Behavioral Law and Economics: Empirical Methods," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2013_01, Max Planck Institute for Research on Collective Goods.
    2. Barbara Di Ventura & Caroline Lemerle & Konstantinos Michalodimitrakis & Luis Serrano, 2006. "From in vivo to in silico biology and back," Nature, Nature, vol. 443(7111), pages 527-533, October.
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    Cited by:

    1. Karolina Mania, 2023. "Legal Technology: Assessment of the Legal Tech Industry’s Potential," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 595-619, June.

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