Crime scripting: A systematic review

The file attached to this record is the author's final peer reviewed version.More than two decades after the publication of Cornish’s seminal work about the script-theoretic approach to crime analysis, this article examines how the concept has been applied in our community. The study provides evidence confirming that the approach is increasingly popular; and takes stock of crime scripting practices through a systematic review of over one hundred scripts published between 1994 and 2018. The results offer the first comprehensive picture of this approach, and highlights new directions for those interested in using data from cyber-systems and the Internet of Things to develop effective situational crime prevention measures

Investigation of how social media influenced the endsars protests in Lagos, Nigeria

The research assessed the role of social media in the unfolding of the EndSARS demonstrations in Nigeria. The study was necessary given the persistent call by governments for the strict regulation of social medium platforms. This is given governments' claim that social media is being misused. The study, however, reveals that social media use is determined by users' social experiences, including those caused by governments.Comment: master's thesi

Finding Street Gang Members on Twitter

Most street gang members use Twitter to intimidate others, to present outrageous images and statements to the world, and to share recent illegal activities. Their tweets may thus be useful to law enforcement agencies to discover clues about recent crimes or to anticipate ones that may occur. Finding these posts, however, requires a method to discover gang member Twitter profiles. This is a challenging task since gang members represent a very small population of the 320 million Twitter users. This paper studies the problem of automatically finding gang members on Twitter. It outlines a process to curate one of the largest sets of verifiable gang member profiles that have ever been studied. A review of these profiles establishes differences in the language, images, YouTube links, and emojis gang members use compared to the rest of the Twitter population. Features from this review are used to train a series of supervised classifiers. Our classifier achieves a promising F1 score with a low false positive rate.Comment: 8 pages, 9 figures, 2 tables, Published as a full paper at 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016

Sustainability living labs as a methodological approach to research on the cultural drivers of sustainable development

Given that culture-driven processes cannot be researched and designed if taken out from the real-life environment, an appropriate methodology to study the impact of culture on sustainable development is needed. The aim of the research was to develop a model of a sustainability living lab as a methodological approach based on the living lab concept and its capabilities to study the cultural drivers of sustainable development. The research was carried out with use of the conceptual research framework based on analyzing existing knowledge on cognitive processes within living laboratories and their interpretation in the light of the relationship between culture and sustainable development. First, the results of the analysis of sustainability cultural drivers and the living lab concept are presented, which constitute the research framework of the study. Then, the main contribution as a novel theoretical concept of sustainability living lab is elaborated and discussed. The novelty of this approach to research on the cultural drivers of sustainable development is based on linking together in a coherent model the consequences of the dual nature of culture and the arguments for conducting such research beyond the limitations of closed laboratories towards the highly dynamic environment of real life

AI for Situational Awareness in Situations With High Uncertainty: An Explorative Case Study

Often, the police experience scenarios with much uncertainty. These scenarios can be characterized by high time pressure, huge amounts of information, and potentially severe consequences. In this paper, we study whether artificial intelligence (AI) can be a fit for the information processing needs of the police helping them achieve situational awareness and make better decisions. Given the potential severity of police situations, AI can potentially reduce the risk of fatal outcomes and wrong decisions. Investigating this issue with police officers and AI experts as our informants, our findings suggest that our informants are positive to AI as a support tool, but more skeptical to whether AI can make an impact in their daily police work due to the complexity of their work. The importance of implementing AI to suitable tasks is emphasized

Chicago Recovery Partnership Evaluation of the American Recovery and Reinvestment Act

From 2009-2011, the City of Chicago and Cook County received a total of $2.35 billion in funding provided by the American Recovery and Reinvestment Act [ARRA]. The stimulus money was allocated to seven areas: education, basic needs, transportation and infrastructure, housing and energy, public safety, broadband and workforce development. The Chicago Recovery Partnership Evaluation of ARRA analyzes the impact of the stimulus spending using a costbenefit analysis framework. This report evaluated$1.09 billion of total spending in Chicago and Cook County, resulting in net benefits ranging from -$173.9 to$2,740.2 million. The wide range in net benefits is attributed largely to education, which received over half of ARRA funding