Crime script analysis as a methodology to analyse criminal processes is underdeveloped. This is apparent from the various approaches in which scholars apply crime scripting and present their cybercrime scripts. The plethora of scripting methods raise significant concerns about the reliability and validity of these scripting studies. In this methodological paper, we demonstrate how object-oriented modelling (OOM) could address some of the currently identified methodological issues, thereby refining crime script analysis. More specifically, we suggest to visualise crime scripts using static and dynamic modelling with the Unified Modelling Language (UML) to harmonise cybercrime scripts without compromising their depth. Static models visualise objects in a system or process, their attributes and their relationships. Dynamic models visualise actions and interactions during a process. Creating these models in addition to the typical textual narrative could aid analysts to more systematically consider, organise and relate key aspects of crime scripts. In turn, this approach might, amongst others, facilitate alternative ways of identifying intervention measures, theorising about offender decision-making, and an improved shared understanding of the crime phenomenon analysed. We illustrate the application of these models with a phishing script.
MULTIFILE
Content Analysis has been developed within communication science as a technique to analyze bodies of text for features or (recurring) themes, in order to identify cultural indicators, societal trends and issues. And while Content Analysis has seen a tremendous uptake across scientific disciplines, the advent of digital media has presented new challenges to the demarcation and study of content. Within Content Analysis, different strategies have been put forward to grapple with these dynamics. And although these approaches each present ways forward for the analysis of web content, they do not yet regard the vast differences between web platforms that serve content, which each have their own ‘technicities,’ e.g. carry their own (often visually undisclosed) formats and formatting, and output their own results and rankings. In this dissertation I therefore develop Networked Content Analysis as a term for such techniques of Content Analysis that are adapted specifically to the study of networked digital media content. The case in question is climate change, one of the major societal challenges of our times, which I study on the web and with search engines, on Wikipedia as well as Twitter. In all, my contribution provides footing for a return to the roots of Content Analysis and at the same time adds to its toolkit the necessary web- and platform-specific research techniques for creating a fine-grained picture of the climate change debate as it takes place across platforms.
MULTIFILE
Introduction: Writing Readiness Inventory Tool In Context (WRITIC) is an activity-based assessment tool to evaluate which kindergarten children are at risk of developing handwriting difficulties. WRITIC-assessment is valid, reliable, feasible, predictive, and norm-referenced. Broad international interest in translating WRITIC-assessment exists.Objectives: Making WRITIC available to professionals internationally to enable participation in handwriting at school. Methods: Composing translation teams with universities in different countries, back- and forth translation, cross-cultural assessment adaptation, carrying out feasibility and validation studies, starting courses for training the professionals.Results: Translation teams have been started in different countries resulting in an English, Portuguese and Slovenian translation, validation studies in Flanders, UK, Portugal and Slovenia and translation projects in Greece, Bulgaria, Germany, Austria, and Switzerland. A Figshare environment was developed to safely store, exchange the data and to support international research. An international digital platform has been constructed to sell e-manuals, share e-learning and support people worldwide.Conclusion: The translation and cross-cultural adaptation in different languages and the international digital platform made WRITIC-assessment accessible to children’s therapists around the world with the same results: enabling school participation of all children in contributing to inclusive education.
MULTIFILE
