1,720,997 research outputs found
2019_05_17_Appendix_(after_review) – Supplemental material for Environmental criminology in the big data era
No full textSupplemental material, 2019_05_17_Appendix_(after_review) for Environmental criminology in the big data era by Thom Snaphaan and Wim Hardyns in European Journal of Criminology</p
sj-docx-1-icj-10.1177_10575677231214181 - Supplemental material for Young Adults’ Online and In-Person Sexual Harassment Experiences in Romantic Relationships: Exploring the Role of Relationship Type and Dark Triad Personality Traits
No full textSupplemental material, sj-docx-1-icj-10.1177_10575677231214181 for Young Adults’ Online and In-Person Sexual Harassment Experiences in Romantic Relationships: Exploring the Role of Relationship Type and Dark Triad Personality Traits by Janneke M. Schokkenbroek, Koen Ponnet and Wim Hardyns in International Criminal Justice Review</p
Big data policing in Europa
No full textWim Hardyns is hoogleraar criminologie aan de vakgroep Criminologie, Strafrecht en Sociaal Recht van de Universiteit Gent en gastprofessor veiligheidswetenschappen aan de Universiteit Antwerpen. Tijdens zijn academische loopbaan heeft Wim Hardyns een brede expertise opgebouwd in het domein van de omgevingscriminologie. Daarbij heeft hij zich gespecialiseerd in alles wat te maken heeft met criminaliteitsstatistieken, criminaliteitspreventie, big data en voorspellende modellen voor de preventie en aanpak van criminaliteit.
Wim Hardyns is de eerste professor in Europa die een Early Career Award heeft verkregen van de European Society of Criminology in 2020, een erkenning voor de uitmuntende wetenschappelijke prestaties van een Europese criminoloog. In 2023 heeft de European Research Council (ERC) van de Europese Commissie, na een zeer grondige evaluatie en selectie uit meer dan 2200 aanvragen, een prestigieuze ERC Consolidator Grant toegekend aan Wim Hardyns voor zijn BIGDATPOL project (ERC, BIGDATPOL, 101088156). Dit stelt hem in staat om zijn onderzoeksteam verder uit te bouwen en de komende vijf jaar grensverleggend onderzoek te voeren op het gebied van big data policing. Binnen het BIGDATPOL project worden diverse historische en real-time gegevens gebruikt om te voorspellen waar en wanneer het risico op nieuwe criminele feiten het grootst is.
In deze keynote zal professor Hardyns een inkijk geven in het innovatief onderzoek dat hij tot op heden heeft gevoerd naar big data en predictive policing. Predictive policing is het gebruik van complexe statistische modellen op basis van criminaliteits- en andere (big) data om te voorspellen waar en wanneer er een hoog risico is op nieuwe criminele feiten, wat toelaat proactief de politie-inzet te gaan bepalen. Sinds 2015 heeft professor Hardyns, samen met zijn onderzoeksteam, diverse voorspellende modellen methodologisch en operationeel getoetst, op basis van data van verschillende Belgische politiezones. In deze presentatie maakt hij de balans op, en blikt hij vooruit, onder andere naar de grote veldtest die de komende jaren zal worden uitgevoerd in ongeveer 20 Vlaamse politiezones
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Towards an evidence-based model for big data policing
No full textProfessor Wim Hardyns will give a keynote on the future of big data policing in the Belgian police. During this lecture, Professor Hardyns will share his expertise and insights regarding predictive policing/big data policing. He will introduce the expertise on this topic that has been developed within the Faculty of Law and Criminology of Ghent University, paying close attention to how law enforcement can benefit from this expertise and how geographical and spatiotemporal insights can help to further develop this area of research
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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