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      Lessons Learned from Crime Caught on Camera

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          Abstract

          Objectives:

          The widespread use of camera surveillance in public places offers criminologists the opportunity to systematically and unobtrusively observe crime, their main subject matter. The purpose of this essay is to inform the reader of current developments in research on crimes caught on camera.

          Methods:

          We address the importance of direct observation of behavior and review criminological studies that used observational methods, with and without cameras, including the ones published in this issue. We also discuss the uses of camera recordings in other social sciences and in biology.

          Results:

          We formulate six key insights that emerge from the literature and make recommendations for future research.

          Conclusions:

          Camera recordings of real-life crime are likely to become part of the criminological tool kit that will help us better understand the situational and interactional elements of crime. Like any source, it has limitations that are best addressed by triangulation with other sources.

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          Most cited references74

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          Understanding individual human mobility patterns

          Despite their importance for urban planning, traffic forecasting, and the spread of biological and mobile viruses, our understanding of the basic laws governing human motion remains limited thanks to the lack of tools to monitor the time resolved location of individuals. Here we study the trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six month period. We find that in contrast with the random trajectories predicted by the prevailing Levy flight and random walk models, human trajectories show a high degree of temporal and spatial regularity, each individual being characterized by a time independent characteristic length scale and a significant probability to return to a few highly frequented locations. After correcting for differences in travel distances and the inherent anisotropy of each trajectory, the individual travel patterns collapse into a single spatial probability distribution, indicating that despite the diversity of their travel history, humans follow simple reproducible patterns. This inherent similarity in travel patterns could impact all phenomena driven by human mobility, from epidemic prevention to emergency response, urban planning and agent based modeling.
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            The golden age of bio-logging: how animal-borne sensors are advancing the frontiers of ecology.

            Great leaps forward in scientific understanding are often spurred by innovations in technology. The explosion of miniature sensors that are driving the boom in consumer electronics, such as smart phones, gaming platforms, and wearable fitness devices, are now becoming available to ecologists for remotely monitoring the activities of wild animals. While half a century ago researchers were attaching balloons to the backs of seals to measure their movement, today ecologists have access to an arsenal of sensors that can continuously measure most aspects of an animal's state (e.g., location, behavior, caloric expenditure, interactions with other animals) and external environment (e.g., temperature, salinity, depth). This technology is advancing our ability to study animal ecology by allowing researchers to (1) answer questions about the physiology, behavior, and ecology of wild animals in situ that would have previously been limited to tests on model organisms in highly controlled settings, (2) study cryptic or wide-ranging animals that have previously evaded investigation, and (3) develop and test entirely new theories. Here we explore how ecologists are using these tools to answer new questions about the physiological performance, energetics, foraging, migration, habitat selection, and sociality of wild animals, as well as collect data on the environments in which they live.
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              Social signal processing: Survey of an emerging domain

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                Author and article information

                Journal
                J Res Crime Delinq
                J Res Crime Delinq
                JRC
                spjrc
                The Journal of Research in Crime and Delinquency
                SAGE Publications (Sage CA: Los Angeles, CA )
                0022-4278
                1552-731X
                16 January 2018
                February 2018
                : 55
                : 1 , Special Issue: Crime Caught on Camera
                : 155-186
                Affiliations
                [1 ]Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), Amsterdam, the Netherlands
                [2 ]Department of Sociology, University of Copenhagen, Copenhagen, Denmark
                [3 ]Department of Spatial Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
                Author notes
                [*]Marie Rosenkrantz Lindegaard, Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), P.O. Box 71304, 1008 BH Amsterdam, the Netherlands. Email: mlindegaard@ 123456nscr.nl
                Article
                10.1177_0022427817727830
                10.1177/0022427817727830
                5808820
                29472728
                cec1a1d2-cb2a-49aa-af4b-c8d5b1912355
                © The Author(s) 2018

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

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                cctv,interaction,observational methods,camera footage
                cctv, interaction, observational methods, camera footage

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