In Search for the Right Measure: Assessing Types of Developed Knowledge While Using a Gamified Web Toolkit

Game-based learning has been used to teach topics in diverse domains, but it is still hard to determine when such approaches are an efficient learning technique. In this paper we focus on one open challenge – the limited understanding in the community of the types of knowledge these games help to develop. Using a taxonomy that distinguishes between declarative, procedural and conditional knowledge, we evaluate a game-based toolkit to analyse and solve an information security problem within a holistic crime prevention framework. Twenty-eight participants used the toolkit. We designed a portfolio of learning assessment measures to capture learning of different types of knowledge. The measures included two theoretical open-answer questions to explore participants' understanding, three problem-specific open-answer questions to test their ability to apply the framework, and 9 multiple-choice questions to test their ability to transfer what was learned to other contexts. The assessment measures were administered before and after use of the tookit. The application questions were analysed by classifying suggested ideas. The theoretical questions were qualitatively analysed using a set of analytical techniques. The transferability questions were statistically analysed using ttests. Our results show that participants' answers to the application questions improved in quality after the use of the toolkit. In their answers to the theoretical questions most participants could explain the key features of the toolkit. Statistical analysis of the multiple-choice questions testing transferability however failed to demonstrate significant improvement. Whilist our participants understood the CCO framework and learned how to use the toolkit, participants didn't demonstrate transfer of knowledge to other situations in information security. We discuss our results, limitations of the study design and possible lessons to be learned from these

"Show this thread": policing, disruption and mobilisation through Twitter. An analysis of UK law enforcement tweeting practices during the Covid-19 pandemic

Crisis and disruption are often unpredictable and can create opportunities for crime. During such times, policing may also need to meet additional challenges to handle the disruption. The use of social media by officials can be essential for crisis mitigation and crime reduction. In this paper, we study the use of Twitter for crime mitigation and reduction by UK police (and associated) agencies in the early stages of the Covid-19 pandemic. Our findings suggest that whilst most of the tweets from our sample concerned issues that were not specifically about crime, especially during the first stages of the pandemic, there was a significant increase in tweets about fraud, cybercrime and domestic abuse. There was also an increase in retweeting activity as opposed to the creation of original messages. Moreover, in terms of the impact of tweets, as measured by the rate at which they are retweeted, followers were more likely to ‘spread the word’ when the tweet was content-rich (discussed a crime specific matter and contained media), and account holders were themselves more active on Twitter. Considering the changing world we live in, criminal opportunity is likely to evolve. To help mitigate this, policy makers and researchers should consider more systematic approaches to developing social media communication strategies for the purpose of crime mitigation and reduction during disruption and change more generally. We suggest a framework for so doing

A ‘criminal personas’ approach to countering criminal creativity

This paper describes a pilot study of a ‘criminal personas’ approach to countering criminal creativity. The value of the personas approach has been assessed by comparing the identification of criminal opportunity, through ‘traditional’ brainstorming and then through ‘criminal personas’ brainstorming The method involved brainstorm sessions with Computer Forensics Practitioners and with Product Designers, where they were required to generate criminal scenarios, select the most serious criminal opportunities, and propose means of countering them. The findings indicated that there was merit in further research in the development and application of the ‘criminal personas’ approach. The generation of criminal opportunity ideas and proposal of counter criminal solutions were both greater when the brainstorm approach involved the group responding through their given criminal personas

ABDOMINAL PRESSURIZATION AND MUSCLE ACTIVATION DURING SUPINE TRUNK CURLS

Trunk curls are common exercises in sports training. A multitude of practical recommendations exist on how to best perform this type of exercise to reach a specific effect. Since abdominal muscles can contribute to breathing, it was thought of interest to study the effects of systematic variations in breathing on the pattern of abdominal muscle activation during trunk curls. Of particular interest was the influence of fluctuations in the intra-abdominal pressure (IAP), since changes in IAP have been shown to be coupled to the activation of the innermost abdominal muscle, the Transversus abdominis (TrA), and also to be able to contribute to an extensor moment of the trunk

Necessary conditions for algorithmic tuning of weather prediction models using OpenIFS as an example

Algorithmic model tuning is a promising approach to yield the best possible forecast performance of multi-scale multi-phase atmospheric models once the model structure is fixed. The problem is to what degree we can trust algorithmic model tuning. We approach the problem by studying the convergence of this process in a semi-realistic case. Let M (x, theta) denote the time evolution model, where x and theta are the initial state and the default model parameter vectors, respectively. A necessary condition for an algorithmic tuning process to converge is that theta is recovered when the tuning process is initialised with perturbed model parameters theta' and the default model forecasts are used as pseudo-observations. The aim here is to gauge which conditions are sufficient in a semi-realistic test setting to obtain reliable results and thus build confidence on the tuning in fully realistic cases. A large set of convergence tests is carried in semi-realistic cases by applying two different ensemble-based parameter estimation methods and the atmospheric forecast model of the Integrated Forecasting System (OpenIFS) model. The results are interpreted as general guidance for algorithmic model tuning, which we successfully tested in a more demanding case of simultaneous estimation of eight OpenIFS model parameters.Peer reviewe

The changing pattern of domestic cannabis cultivation in the UK and its impact on the cannabis market

With improvements in both technology and information cannabis is being increasingly grown indoors for domestic use, rather than being imported. This study examines 50 cannabis farms detected by an English police force, and examines the characteristics of the 61 suspects associated with them. The study highlights a UK pattern in domestic cultivation, that is moving away from large scale commercial cultivation, at times co-ordinated by South East Asian organised crime groups, to increased cultivation within residential premises by British citizens. Offenders range from those who have no prior criminal history to those who are serious and persistent offenders. The ramifications for law enforcement agencies and policy formers are discussed

Manipulating Permeability as a Process for Controlling Crime: Balancing Security and Sustainability in Local Contexts

In response to the sustainability agenda, planning policy in the UK, USA and Australia has shifted to promote compact, high-density, mixed-used residential developments in walkable and permeable street networks close to public transport (Commonwealth of Australia, 1995; DETR, 1998; American Planning Association, 2007). This is to encourage walking and the use of public transport and to reduce car-use, energy use, pollution, congestion and urban sprawl. However, although permeability is assumed to represent a positive built environment feature which reduces crime by promoting more "eyes on the street" (Jacobs, 1961), a significant body of research in the field of environmental criminology challenges this assumptions. This paper reviews the theories and evidence associated with permeability and crime.Pedestrian access ways (PAWs) are often associated with crime and this paper discusses research which was directed at providing practical guidance to local governments on how they could better manage existing PAWs in Western Australia (WA). A morphological analysis of existing PAWs was undertaken which analysed the purposes, roles, functionality, users and dynamics of PAWs in a variety of different settings. In addition to crime (which had commonly be used as an excuse to close PAWs), the research considered issues such as amenity, walkability, equity and sustainability. A suite of five tools for assessing and reducing crime risk were developed, which attempt to balance security and sustainability issues. Contrary to assumptions, most PAWs were not subject to high levels of crime and many were vital to the community. Intriguingly, findings indicated that neighbourhood permeability can potentially be manipulated (via the management, closure or construction of new PAWs) to achieve the desired outcomes of reducing crime and of enhancing walkability, liveability and ultimately, the sustainability and well-being of communities

Despite WT1 binding sites in the promoter region of human and mouse nucleoporin glycoprotein 210, WT1 does not influence expression of GP210

BACKGROUND: Glycoprotein 210 (GP210) is a transmembrane component of the nuclear pore complex of metazoans, with a short carboxyterminus protruding towards the cytoplasm. Its function is unknown, but it is considered to be a major structural component of metazoan nuclear pores. Yet, our previous findings showed pronounced differences in expression levels in embryonic mouse tissues and cell lines. In order to identify factors regulating GP210, the genomic organization of human GP210 was analyzed in silico. RESULTS: The human gene was mapped to chromosome 3 and consists of 40 exons spread over 102 kb. The deduced 1887 amino acid showed a high degree of alignment homology to previously reported orthologues. Experimentally we defined two transcription initiation sites, 18 and 29 bp upstream of the ATG start codon. The promoter region is characterized by a CpG island and several consensus binding motifs for gene regulatory transcription factors, including clustered sites associated with Sp1 and the Wilms' tumor suppressor gene zinc finger protein (WT1). In addition, distal to the translation start we found a (GT)n repetitive sequence, an element known for its ability to bind WT1. Homologies for these motifs could be identified in the corresponding mouse genomic region. However, experimental tetracycline dependent induction of WT1 in SAOS osteosarcoma cells did not influence GP210 transcription. CONCLUSION: Although mouse GP210 was identified as an early response gene during induced metanephric kidney development, and WT1 binding sites were identified in the promoter region of the human GP210 gene, experimental modulation of WT1 expression did not influence expression of GP210. Therefore, WT1 is probably not regulating GP210 expression. Instead, we suggest that the identified Sp binding sites are involved