On average 125 murders take place in the Netherlands on an annual basis. However, not all such incidents can be solved. Currently there are more than 1700 unsolved homicide cases on the shelf at the National Police that classify as a andapos;cold caseandapos;. Investigation into these types of capital offenses takes a lot of time, money, and capacity. Applications of the current working method and available techniques are very labor-intensive and time-consuming. In addition, the pressure on the executive Police officers is high-from the Police organization, the Public Prosecution Service, the media, the next of kin, as well as society in general. From an investigative point of view, it is relevant to provide direction in the criminal investigation and formulate and evaluate various case scenarios, while reducing a risk of andapos;tunnel visionandapos;. From a scientific point of view, more research into homicide cases in the Netherlands is of eminent importance. Remarkably little has been written in scientific literature about this type of crime. The project andapos;Cold Case: Solved andamp; Unsolvedandapos; focused on the use of open, publicly available information sources to collect the data and gain more insight into homicide cases in The Netherlands. Applicability of various modern techniques, such as web-scraping, API software and Artificial Intelligence (AI) was explored to facilitate and automate data collection and processing tasks. A first concept of a andapos;smartandapos; database was proposed, combining a web-based database platform with AI modules to filter and (pre-)process the data. With further development and training of AI modules, such a database might eventually support data-driven generation and/or prioritization of investigative scenarios. The data collected in the process was used in three scientific studies aimed at uncovering the relationships and patterns in the homicide data for The Netherlands.
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Although basic features of journalism have remained the same over the last decades, the tasks journalists perform, the skills they need and the position they have within news organizations have changed dramatically. Usually the focus in the discourse on changes in journalism is on skills, especially on technical multi-media skills or research skills. In this paper we focus on changes in professional roles of journalists, arguing that these roles have changed fundamentally, leading to a new generation of journalists. We distinguish between different trends in journalism. Journalism has become more technical, ranging from editing video to programming. At the same time, many journalists are now more ‘harvesters’ and ‘managers’ of information and news instead of producers of news. Thirdly, journalists are expected to gather information from citizens and social media, and edit and moderate user-contributions as well. Lastly, many journalists are no longer employed by media but work as freelancers or independent entrepreneurs. We track these trends and provide a detailed description of developments with examples from job descriptions in the Netherlands.
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.
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Ontwikkelen van een tool om trends en scenario’s in kaart te brengen waarmee beter richting gegeven kan worden aan voor de praktijk relevante onderwijsprogramma’s en onderzoeksprojecten. In eerste instantie doen wij dat voor het domein commerciële economie (marketing & customer experience). Doel Dit project heeft twee doelen: 1: Ontwikkeling praktijk relevante opleidingsprogramma’s en onderzoeks programma’s. Dit doen wij door trends na te gaan middels literatuurstudie, interviews met toonaangevende mensen in het vakgebied en een conferentie waarin wij scenarios bouwen met experts 2: Train the trainer programma zodat wij ons de skills om dit zelf te kunnen binnen de HU eigen maken Resultaten Het project levert een aantal scenario’s op waarop wij ons kunnen voorbereiden en waarvan we de ontwikkeling in de toekomst kunnen monitoren. Hierdoor blijven onze onderwijs en onderzoeksprogramma’s bij de tijd. Looptijd 01 september 2020 - 01 december 2020 Aanpak Dit programma wordt ontwikkeld samen met De Ruijter strategie die in Nederland toonaangevend is op dit gebied en het Nederlands Instituut voor Marketing. Interne HU partners zijn het Institute for Marketing & Commerce en het Lectoraat Marketing en Customer Experience. Fase 1 is literatuuronderzoek. Hiervoor wordt o.a. ook via webscraping en Natural Language Processing informatie gehaald uit job ads van toonaangevende bedrijven. Fase 2 zijn interviews met toonaangevende mensen in de praktijk en wetenschap. Fase 3 een werkconferentie met 25 experts om scenario’s te ontwikkelen waarna een eindrapport wordt gemaakt. Hierna vinden de train the trainer sessies plaats, worden de scenario’s voorbereid en wordt de organisatie ingericht om e.e.a. in de tijd te monitoren. Relevantie van het project Het in kaart brengen van trends is een specialisme. Dat geldt ook voor scenario denken. Wij willen ons dat eigen maken zodat wij steeds relevanter worden voor de praktijk. Dit is goed voor studenten, docenten, werkgevers en de maatschappij
