Zoekresultaat: 11 artikelen

x
Artikel

Predictive policing: een balans na zes jaar ­empirisch evaluatieonderzoek in België

Tijdschrift Tijdschrift voor Veiligheid, Aflevering 4 2021
Trefwoorden predictive policing, big data, police, crime statistics, Belgium
Auteurs Wim Hardyns en Anneleen Rummens
SamenvattingAuteursinformatie

    Predictive policing is the use of historical crime and other data in complex statistical models to predict where and when there is a high risk of new crime events. These predictions can then be used to direct police patrols proactively. Despite the increasing use and commercialisation of predictive policing worldwide, academic research into the methodological and operational dimensions of predictive policing is relatively limited. Since 2015 we have researched and tested several predictive crime models methodologically and operationally, based on police and other (big) data sources in several Belgian police districts. In this article, we summarise the results of six years of empirical research into predictive policing and look to the future of predictive policing research and practice.


Wim Hardyns
Wim Hardyns is professor in de Criminologische Wetenschappen aan het Institute for International Research on Criminal Policy (IRCP), Vakgroep Criminologie, Strafrecht en Sociaal Recht, Universiteit Gent, en gastprofessor in de Veiligheidswetenschappen aan de Universiteit Antwerpen. wim.hardyns@ugent.be

Anneleen Rummens
Anneleen Rummens werkte onder promotorschap van Wim Hardyns als onderzoekster aan het Institute for International Research on Criminal Policy (IRCP), Vakgroep Criminologie, Strafrecht en Sociaal Recht, Universiteit Gent.

    In recent years, big data technology has revolutionised many domains, including policing. There is a lack of research, however, exploring which applications are used by the police, and the potential benefits of big data analytics for policing. Instead, literature about big data and policing predominantly focuses on predictive policing and its associated risks. The present paper provides new insights into the police’s current use of big data and algorithmic applications. We provide an up-to-date overview of the various applications of big data by the National Police in the Netherlands. We distinguish three areas: uniformed police work, criminal investigation, and intelligence. We then discuss two positive effects of big data and algorithmic applications for the police organization: accelerated learning and the formation of a single police organization.


Marc Schuilenburg
Marc Schuilenburg is bijzonder hoogleraar Digital Surveillance aan de Erasmus Universiteit Rotterdam en universitair docent aan Vrije Universiteit Amsterdam. m.b.schuilenburg@vu.nl.

Melvin Soudijn
Melvin Soudijn is senior onderzoeker bij de afdeling Analyse & Onderzoek van de Landelijke Eenheid Nationale Politie en research fellow bij het Nederlands Studiecentrum Criminaliteit en Rechtshandhaving.
Artikel

Access_open Risicoprofiling of risicovolle profiling tijdens grenscontroles?

Naar een verantwoord gebruik van proactieve risicoprofielen door rechtshandhavingsinstanties

Tijdschrift Tijdschrift voor Veiligheid, Aflevering 3 2021
Trefwoorden risk profiling, crime prevention, risk profiles, false positives, security method
Auteurs Jop Van der Auwera en Lore Van de Velde
SamenvattingAuteursinformatie

    Although risk profiling can by no means be considered as a ‘new’ crime prevention tool, its application has gained popularity over the years. Both in the screening of asylum seekers, in border control at airports (e.g. behavioural profiling or the use of risk profiles in the European Passenger Information Unit) and in the designation of hotspots at the local level (e.g. the Crime Anticipation System), attempts are now being made to identify persons with criminal intentions more often on the basis of ordinal risk assessment tools. This sudden increase in popularity is not remarkable, since random police patrols or undirected security checks have long been shown to have negligible impact on crime reduction. Risk profiles, on the other hand, have a certain potential for shaping more effectively the interventions by law enforcement authorities at border crossing points. Nevertheless, the use of such profiles also raises some pertinent questions. It is precisely in the light of this ambivalence that the present theoretical contribution will consider the pitfalls and success factors of risk profiling during border checks, in order to determine when one can speak of ‘risk profiling’ and when the concept of ‘risky profiling’ must be used.


Jop Van der Auwera
Jop Van der Auwera is vrijwillig wetenschappelijk medewerker aan de Katholieke Universiteit Leuven, Faculteit Rechtsgeleerdheid. jop.vanderauwera@kuleuven.be

Lore Van de Velde
Lore Van de Velde is advocaat aan de balie van Antwerpen.
Artikel

De toekomst is aan de surfende criminoloog

Tijdschrift Tijdschrift voor Criminologie, Aflevering 4 2019
Trefwoorden criminology, artificial intelligence, research methods, research funding, causality
Auteurs Prof. dr. Jeroen Maesschalck
SamenvattingAuteursinformatie

    If, as criminologists, we really want to contribute to solutions for the great challenges of our time, we should be…surfing more. In a dynamic environment full of contradictions, we should be constantly in motion, moving left and right between different theoretical-normative perspectives as well as between methodological perspectives. This paper clarifies that surfing movement with some illustrations. It then proposes three goals for a criminological research agenda that should help us address the great challenges: actual (as opposed to superficial) relevance for practice, causal ambitions and multidisciplinarity. The paper concludes with some reflections about the organization and funding of criminological research.


Prof. dr. Jeroen Maesschalck
Prof. dr. J. Maesschalck is verbonden aan het Leuven Instituut voor Criminologie aan de KU Leuven.

Teun Eikenaar
Teun Eikenaar is antropoloog en werkzaam als postdoctoraal onderzoeker aan de Radboud Universiteit en de Nederlandse Defensie Academie.
Artikel

Veiligheid uit de glazen bol?

Naar verantwoorde toepassingen van big data in het veiligheidscomplex

Tijdschrift Tijdschrift voor Veiligheid, Aflevering 3-4 2019
Trefwoorden Big data, Security, good governance
Auteurs Remco Spithoven en Siri Beerends
SamenvattingAuteursinformatie

    The promises of Big Data, predictive policing and artificial intelligence hold a key position in the public debate for quite some time now. Optimists tell that it is possible to predict where criminal events will occur before they take place. This would implicate a major shift towards a crime and insecurity preventive society, feeding on our cultural longing for a secure future. Therefore we give algorithms and deep learning access to more and more aspects of our lives. But how realistic and desirable is the application of Big Data techniques in the area of security?
    In this article we put focus on the research question ‘In which way can Big Data and predictive policing support good governance of security?’, that has led our study. By exploring the central concepts, the processes behind them and their results in the domain of public security, we conclude that there are only rather disappointing results from the application of these techniques: crime and insecurity have not dropped when the police and other organizations turned to Big Data techniques. Instead, many negative side effects occurred. We search for explanations in six central academic critiques on the application of these techniques in the area of security.
    We have found several ways to guaranty principles of good governance in the application of Big Data techniques, but these require a firm paradigm shift on Big Data in general. The heuristics of security professionals should not be overshadowed by technological promises: the professional should always be in the loop, must understand the way predictions come into existence and must be able to correct flaws and bugs of (semi-)automated decisions. We conclude that safeguarding public security must remain human work in which Big Data techniques can assist.


Remco Spithoven
Remco Spithoven is lector Maatschappelijke Veiligheid aan de Hogeschool Saxion en redacteur van dit tijdschrift.

Siri Beerends
Siri Beerends is cultureel socioloog, onderzoeker en schrijver bij SETUP en pro‍movenda aan de Universiteit Twente.
Artikel

De maatschappelijke integratie van de politie

Politieleiders over de actualiteit van een beladen concept

Tijdschrift Tijdschrift voor Veiligheid, Aflevering 3 2018
Trefwoorden politie, maatschappelijke integratie, gebiedsgebonden politie
Auteurs Ivo van Duijneveldt
SamenvattingAuteursinformatie

    Since the 1970s social integration of the police has been considered as a key element of the Dutch police. This article focusses on the question of the relevance of social integration of the contemporary police. The article is based on interviews with present and former strategic leaders of the Dutch police. This study shows that social integration is still often considered to be a highly important value for the Dutch police, particularly with regard to the growing polarisation in society. However, some of the police chiefs also express their disapproval of the concept of social integration; in their view the concept reminds us of the past. Also, police chiefs are critical of the value of the concept because of its supposed geographical focus. The paper shows that this criticism can be understood as an interpretation of social integration in terms of ‘neighbourhood policing’ and as an operational police strategy.


Ivo van Duijneveldt
Ivo van Duijneveldt is organisatieadviseur bij Andersson Elffers Felix en buitenpromovendus aan de Radboud Universiteit.
Artikel

Criminaliteitsconcentraties en microplaatsen

Een toets van de ‘law of crime concentration at places’

Tijdschrift Tijdschrift voor Criminologie, Aflevering 3 2017
Trefwoorden law of crime concentration, micro places, crime concentrations, criminology of place
Auteurs Prof. dr. Wim Hardyns, Thom Snaphaan MSc. en Prof. dr. Lieven J.R. Pauwels
SamenvattingAuteursinformatie

    The spatial concentrations of crime are increasingly being studied in smaller units of analysis. This study examines the extent to which crime levels occur at micro places. Weisburd argues there is a law of crime concentration at micro places. His so-called ‘law of crime concentration at places’ states that within an urban context a limited bandwidth of micro places is associated with a specific cumulative proportion of crime (e.g. 25 or 50 percent of crime in a city). In this study the authors investigate Weisburd’s statement in regard to crime concentrations in two large Belgian cities. Official police crime statistics (PCS) for the period 2004-2012 were used. There are several ways to define and operationalize a micro place. Therefore, this study also examines whether the unit of analysis has implications for the concentration of crime at places. Analyses were conducted at two small levels, namely: grid level (using 200 meters by 200 meters grid cells) and the level of the statistical sector (more or less similar to four digit postcode areas or CBS-neighborhoods). This study shows that the concentrations of crime at grid cells are in line with the findings of Weisburd. This trend is consistent in time, for the types of crime as well as for the two cities involved. The concentrations of crime at the level of the statistical sector appear to be less strong and therefore are not in line with the law of crime concentration at places.


Prof. dr. Wim Hardyns
Prof. dr. W. Hardyns is professor aan de Vakgroep Criminologie, Strafrecht en Sociaal Recht van de Universiteit Gent. Als lid van het Institute for International Research on Criminal Policy (IRCP) bestudeert hij de ruimtelijke context van criminele fenomenen en is hij gespecialiseerd in big data toepassingen in het veiligheidsdomein.

Thom Snaphaan MSc.
J.A.J.M. Snaphaan, Msc behaalde zijn diploma van Master in de Veiligheidswetenschappen aan de Universiteit Antwerpen.

Prof. dr. Lieven J.R. Pauwels
Prof. dr. L.J.R. Pauwels is professor aan de Vakgroep Criminologie, Strafrecht en Sociaal Recht van de Universiteit Gent en co-directeur van het Institute for International Research on Criminal Policy (IRCP).
Artikel

‘Boeven vangen’

Het spel tussen politieagenten en de Ander

Tijdschrift Tijdschrift over Cultuur & Criminaliteit, Aflevering 1 2016
Trefwoorden ethnic profiling, policing, othering, proactive stop
Auteurs dr. Lianne Kleijer-Kool en dr. Wouter Landman
SamenvattingAuteursinformatie

    This article is based on ethnographic research over recent years in eight Dutch police teams. It focuses on the othering process in which police officers define ‘crooks’ as the Other and chase, catch and arrest them. Catching crooks is perceived as an assignment as well as a game. Street cops construct detailed subcategories of the crook which influence their daily practices. They select crooks by recognition (the permanent suspects), by abnormalization (out of placeness) and by profiling (regardless of place). In addition to the discussion on ethnic profiling, we argue that profiling is a contextual practice. The contents of the profiles depend on the demographic characteristics of the district in which a police team operates. Interacting mediaframes of both the crook and the police reinforce the mutual caricatures and tense relationships.


dr. Lianne Kleijer-Kool
Dr. Lianne Kleijer-Kool is cultureel antropoloog en criminoloog en werkzaam als onderzoeker/docent bij Hogeschool Utrecht.

dr. Wouter Landman
Dr. Wouter Landman is bestuurskundige en werkzaam als onderzoeker/adviseur bij Twynstra Gudde.
Artikel

Gedragsprofiling: het bepalen van kwade bedoelingen en het meten van effectiviteit

Tijdschrift Tijdschrift voor Veiligheid, Aflevering 2 2015
Trefwoorden gedragsprofiling, afwijkend gedrag, psychologie, effectiviteitsmetingen, beveiligingspersoneel
Auteurs Helma van den Berg, Remco Wijn en Dianne van Hemert
SamenvattingAuteursinformatie

    Is behavioural profiling a viable alternative to more traditional approaches to profiling, viewed from the perspectives of underlying theoretical assumptions and measures of effectiveness? In this article we describe behaviour profiling in relation to other types of profiling, we review relevant psychological mechanisms that underpin behaviour profiling, and discuss effectiveness of this type of profiling as well as methodological aspects of measuring effectiveness. Behaviour profiling is a method largely used to select potential offenders before the offence is committed by observing and giving meaning to behaviours preceding incidents. Deviant behaviours exhibited by suspects can be either part of a modus operandi related to the offence, the consequence of increased stress, or an atypical response to prodding actions by security officers. Relevant psychological mechanisms to explain ways behaviour profiling works include direct characteristics of deception as well as indirect indicators of deception, such as a criminal being more self-focused and more cognitively engaged. Effectiveness of behaviour profiling is increased by training, including learning more about modi operandi and related behaviours, awareness of biases in general, specific relevant biases, and techniques to correct for these biases.


Helma van den Berg
Helma van den Berg is werkzaam bij TNDO Earth, Life, and Social Sciences. Helma.

Remco Wijn
Remco Wijn is research scientist bij TNO Earth, Life, and Social Sciences

Dianne van Hemert
Dianne A. van Hemert is werkzaam bij TNO Earth, Life, and Social Sciences en redacteur van dit tijdschrift.

Jeroen van Rest
Jeroen van Rest is senior consultant bij TNO ‘security, sensoren en privacy’. Hij doet onderzoek aan objectbeveiliging, evenementenveiligheid, contraterrorisme, bescherming van vitale infrastructuur en high-impact crime. Hij publiceert over privacy-by-design, afwijkend gedrag en surveillancesystemen. Hij is (wetenschappelijk) projectleider van EU FP7 TACTICS, de experimenteeromgeving ‘bewaken & beveiligen’ en leidt het high-tech topsectorprogramma ‘passieve sensoren’.
Interface Showing Amount
U kunt door de volledige tekst zoeken naar alle artikelen door uw zoekterm in het zoekveld in te vullen. Als u op de knop 'Zoek' heeft geklikt komt u op de zoekresultatenpagina met filters, die u helpen om snel bij het door u gezochte artikel te komen. Er zijn op dit moment drie verschillende filters: tijdschrift, rubriek en jaar.