Big Data Challenges 2016
DOI: 10.1057/978-1-349-94885-7_9
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Enhancing Intelligence-Led Policing: Law Enforcement’s Big Data Revolution

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Cited by 4 publications
(18 citation statements)
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“…The algorithmizing trends in the criminal proceedings are of great interest in science and practical jurisprudence (Stanier 2016). For example, it can be seen that at least some crime assessment tools used in the Anglo-American legal systems can be improved with the help of machine learning and artificial intelligence (Egbert 2018;Ferguson 2017;or Wilson 2018).…”
Section: Discussionmentioning
confidence: 99%
“…The algorithmizing trends in the criminal proceedings are of great interest in science and practical jurisprudence (Stanier 2016). For example, it can be seen that at least some crime assessment tools used in the Anglo-American legal systems can be improved with the help of machine learning and artificial intelligence (Egbert 2018;Ferguson 2017;or Wilson 2018).…”
Section: Discussionmentioning
confidence: 99%
“…With the development of information technology, the public security organs face the challenges of information technology reform in the process of social management, combat and prevention of crime. With regard to the training of public security information, many scholars are thinking about it [4]. Crispino supported that it only through education to solve the shortcomings in police intelligence management, and to establish course to improve police officers' intelligence awareness [5].…”
Section: Related Workmentioning
confidence: 99%
“…Predictive policing has attracted an equal level of concern among scholars, who have addressed 'the rise of predictive policing' (Ferguson, 2017) and the 'algorithmic patrol' (Wilson, 2018) as the new predominant method of policing, which thus impacts other methods of policing. Countryspecific studies of predictive policing exist in Germany (Egbert, 2018), France (Polloni, 2015), Switzerland (Aebi, 2015) and the UK (Stanier, 2016). A common concern is the predictive policing allure of objectivity, and the creative role police still have in creating inputs for automated calculations of future crime: 'Their choices, priorities, and even omissions become the inputs algorithms use to forecast crime' (Joh, 2017a).…”
mentioning
confidence: 99%