{"title":"Big data policing: The use of big data and algorithms by the Netherlands Police","authors":"Marc Schuilenburg, Melvin Soudijn","doi":"10.1093/police/paad061","DOIUrl":null,"url":null,"abstract":"Abstract In recent years, the rise of big data has revolutionized many domains, including policing. Research is lacking, however, on the various ways in which the police use big data applications. This study provides new insights into the ways the Netherlands Police currently use big data and algorithmic applications. Based on a novel data source—job vacancies in the IT domain for the Netherlands Police—we distinguish three areas in which big data is used: frontline policing, criminal investigations, and intelligence. Our research shows that the use of big data by the Netherlands Police mainly involves relatively simple applications and that—in contrast to police forces in the USA—big data applications with the objective of assessing risks are the least common. The research also shows that big data policing leads to greater discretionary powers for police functions such as software developers and network designers.","PeriodicalId":47186,"journal":{"name":"Policing-A Journal of Policy and Practice","volume":"8 1","pages":"0"},"PeriodicalIF":1.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Policing-A Journal of Policy and Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/police/paad061","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract In recent years, the rise of big data has revolutionized many domains, including policing. Research is lacking, however, on the various ways in which the police use big data applications. This study provides new insights into the ways the Netherlands Police currently use big data and algorithmic applications. Based on a novel data source—job vacancies in the IT domain for the Netherlands Police—we distinguish three areas in which big data is used: frontline policing, criminal investigations, and intelligence. Our research shows that the use of big data by the Netherlands Police mainly involves relatively simple applications and that—in contrast to police forces in the USA—big data applications with the objective of assessing risks are the least common. The research also shows that big data policing leads to greater discretionary powers for police functions such as software developers and network designers.
期刊介绍:
Policing: a Journal of Policy and Practice is a leading policy and practice publication aimed at connecting law enforcement leaders, police researchers, analysts and policy makers, this peer-reviewed journal will contain critical analysis and commentary on a wide range of topics including current law enforcement policies, police reform, political and legal developments, training and education, patrol and investigative operations, accountability, comparative police practices, and human and civil rights. The journal has an international readership and author base. It draws on examples of good practice from around the world and examines current academic research, assessing how that research can be applied both strategically and at ground level. The journal is covered by the following abstracting and indexing services: Criminal Justice Abstracts, Emerging Sources Citation Index, The Standard Periodical Directory.