Data Science, Data Crime and the Law

Porcedda, Maria Grazia; Wall, David S.

Data Science, Data Crime and the Law

Porcedda, M.G. and Wall, D.S. (2018) ‘Data Science, Data Crime and the Law’, in V. M-ak, E. Tjong Tjin Tai & A. Berlee (eds) Research Handbook on Data Science & Law, London: Edward Elgar.

33 Pages Posted: 16 Apr 2018

See all articles by Maria Grazia Porcedda

David S. Wall

Centre for Criminal Justice Studies, School of Law, University of Leeds

Date Written: March 30, 2018

Abstract

This chapter explores the relationship between data science, data crimes and the law. It illustrates how big data is responsible for big data crimes, but that data science and law could mutually help each other by identifying the ethical and legal devices necessary to enable big data analytic techniques to identify the key stages at which data crimes take place and also prevent them. The first part looks at the strengths and weaknesses of data science (big data analytics). The second part explores the data crimes created by Big Data to understand their risks, threats, and harms. The third part discusses the opportunities and limitations of the use of data science in surveillance and criminal prosecution to consider whether the predictive (anticipatory) qualities of Big Data analytics could be applied to identify Big Data Crime.

Keywords: Data Science; Data Crime; Cybercrime; Data Breaches; Cyberlaw

JEL Classification: K14, K19, K20, K42

Suggested Citation: Suggested Citation

Porcedda, Maria Grazia and Wall, David S., Data Science, Data Crime and the Law (March 30, 2018). Porcedda, M.G. and Wall, D.S. (2018) ‘Data Science, Data Crime and the Law’, in V. M-ak, E. Tjong Tjin Tai & A. Berlee (eds) Research Handbook on Data Science & Law, London: Edward Elgar. , Available at SSRN: https://ssrn.com/abstract=3152946