Verräumlichte Wahrnehmung

other

Author(s): Bernd Belina

Publication date (Online): November 02 2022

Publisher: Springer Fachmedien Wiesbaden

Read this book at

Publisher

Buy book

Bookmark

There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.

Zusammenfassung

Verräumlichte Wahrnehmung ist im Alltag lebensnotwendig, wird aber zum Problem, wenn sie sich verselbständigt und in der polizeilichen Praxis handlungsleitend wird. Wenn die Polizei in Räumen, die sie mit Gefahr und Kriminalität in Verbindung bringt – und das sind meist solche, in denen Minderheiten und Randgruppen anzutreffen sind –, anders agiert als in solchen, die sie für harmlos hält, bedeutet das notwendig, dass Minderheiten und Randgruppen stärker kontrolliert werden. Über den „Umweg“ des „kriminellen Raums“ poliziert sie auf diese Weise tendenziell diskriminierend.

Related collections

Most cited references 21

Record: found
Abstract: found
Article: not found

Statistical physics of crime: A review

Maria D'Orsogna, Matjaž Perc (2015)

Containing the spread of crime in urban societies remains a major challenge. Empirical evidence suggests that, if left unchecked, crimes may be recurrent and proliferate. On the other hand, eradicating a culture of crime may be difficult, especially under extreme social circumstances that impair the creation of a shared sense of social responsibility. Although our understanding of the mechanisms that drive the emergence and diffusion of crime is still incomplete, recent research highlights applied mathematics and methods of statistical physics as valuable theoretical resources that may help us better understand criminal activity. We review different approaches aimed at modeling and improving our understanding of crime, focusing on the nucleation of crime hotspots using partial differential equations, self-exciting point process and agent-based modeling, adversarial evolutionary games, and the network science behind the formation of gangs and large-scale organized crime. We emphasize that statistical physics of crime can relevantly inform the design of successful crime prevention strategies, as well as improve the accuracy of expectations about how different policing interventions should impact malicious human activity that deviates from social norms. We also outline possible directions for future research, related to the effects of social and coevolving networks and to the hierarchical growth of criminal structures due to self-organization.