Insider ethnographic analysis is used to analyze change processes in an engineering department. Distributed leadership theory is used as conceptual framework.
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Project objectives Radicalisation research leads to ethical and legal questions and issues. These issues need to be addressed in way that helps the project progress in ethically and legally acceptable manner. Description of Work The legal analysis in SAFIRE addressed questions such as which behavior associated with radicalisation is criminal behaviour. The ethical issues were addressed throughout the project in close cooperation between the ethicists and the researchers using a method called ethical parallel research. Results A legal analysis was made about criminal law and radicalisation. During the project lively discussions were held in the research team about ethical issues. An ethical justification for interventions in radicalisation processes has been written. With regard to research ethics: An indirect informed consent procedure for interviews with (former) radicals has been designed. Practical guidelines to prevent obtaining information that could lead to indirect identification of respondents were developed.
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Many have suggested that AI-based interventions could enhance learning by personalization, improving teacher effective ness, or by optimizing educational processes. However, they could also have unintended or unexpected side-effects, such as undermining learning by enabling procrastination, or reducing social interaction by individualizing learning processes. Responsible scientific experiments are required to map both the potential benefits and the side-effects. Current procedures used to screen experiments by research ethics committees do not take the specific risks and dilemmas that AI poses into account. Previous studies identified sixteen conditions that can be used to judge whether trials with experimental technology are responsible. These conditions, however, were not yet translated into practical procedures, nor do they distinguish between the different types of AI applications and risk categories. This paper explores how those conditions could be further specified into procedures that could help facilitate and organize responsible experiments with AI, while differentiating for the different types of AI applications based on their level of automation. The four procedures that we propose are (1) A process of gradual testing (2) Risk- and side-effect detection (3) Explainability and severity, and (4) Democratic oversight. These procedures can be used by researchers and ethics committees to enable responsible experiment with AI interventions in educational settings. Implementation and compliance will require collaboration between researchers, industry, policy makers, and educational institutions.
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The increasing amount of electronic waste (e-waste) urgently requires the use of innovative solutions within the circular economy models in this industry. Sorting of e-waste in a proper manner are essential for the recovery of valuable materials and minimizing environmental problems. The conventional e-waste sorting models are time-consuming processes, which involve laborious manual classification of complex and diverse electronic components. Moreover, the sector is lacking in skilled labor, thus making automation in sorting procedures is an urgent necessity. The project “AdapSort: Adaptive AI for Sorting E-Waste” aims to develop an adaptable AI-based system for optimal and efficient e-waste sorting. The project combines deep learning object detection algorithms with open-world vision-language models to enable adaptive AI models that incorporate operator feedback as part of a continuous learning process. The project initiates with problem analysis, including use case definition, requirement specification, and collection of labeled image data. AI models will be trained and deployed on edge devices for real-time sorting and scalability. Then, the feasibility of developing adaptive AI models that capture the state-of-the-art open-world vision-language models will be investigated. The human-in-the-loop learning is an important feature of this phase, wherein the user is enabled to provide ongoing feedback about how to refine the model further. An interface will be constructed to enable human intervention to facilitate real-time improvement of classification accuracy and sorting of different items. Finally, the project will deliver a proof of concept for the AI-based sorter, validated through selected use cases in collaboration with industrial partners. By integrating AI with human feedback, this project aims to facilitate e-waste management and serve as a foundation for larger projects.
De horeca-sector en het toerisme worden zwaar getroffen door de huidige crisis. Omzetschade is historisch groot; tegelijkertijd zijn er vanuit de praktijk veel vragen over hoe nieuwe werkwijzen moeten worden ontwikkeld en toegepast. Voor onze sector voorziet onderzoek in het kader van de Impuls-regeling daarom onmiskenbaar in een grote maatschappelijke behoefte. Hotelschool The Hague (HTH) zet strategisch in op het behoud en de versterking van praktijkgericht onderzoek en op het onderzoekend vermogen van haar studenten. Onderzoekend vermogen is, voor toekomstige afstudeerders in een snel veranderende arbeidsmarkt, door de HTH gedefinieerd als cruciale kernvaardigheid. In dit kader zijn recent de onderwijs- en onderzoeksprogramma’s van de HTH hervormd rond de principes van Design Oriented Research. Door de COVID-19 crisis is de continuïteit van het praktijkgericht onderzoek van de HTH, misschien nog wel meer dan bij brede hogescholen onder druk komen te staan. Met het hier voorgestelde Impuls 2020 bestedingsplan wil HTH de onderzoeksfunctie van haar praktische outlets — haar schoolrestaurants en -hotels— verder versterken zodat deze kunnen worden ingericht en gebruikt als ‘test-beds’ of HTH Labs. De schoolrestaurants en -hotels worden hiermee een faciliteit voor experimenteel, praktijkgericht onderzoek waar in commerciële bedrijven vaak geen mogelijkheid voor is. Dit Impuls 2020 voorstel behelst de visievorming voor de HTH Labs en de netwerkvorming met andere kennisinstellingen en met bedrijven als beoogde afnemers van de kennis die in de Labs ontwikkeld zal worden. Het voorstel voorziet tevens in de uitvoering van 3 pilotstudies die de mogelijkheden van de HTH Labs inzichtelijk maken voor het bedrijfsleven. De Impuls financiering zal uiteindelijk resulteren in een operationele onderzoeksfaciliteit in de schoolrestaurants en -hotels van de HTH, en in drie onderzoeksrapporten met bijbehorende disseminatie-activiteiten.
Every organisation needs to have organised Company Emergency Response (CER) staff. The training of CER must combine knowledge acquisition with knowledge application in performing physical procedures and demonstrating skills. However, current training does not secure well-prepared CER-staff in the long term. Playful learning is that a more engaging type of training can be created which combines knowledge with skills training. But while social interactions can strongly and positively impact learning as well as motivation, this is not easily facilitated within digital learning environments Two questions are particularly important for playful learning designers: • How can playful learning make use of the combination of digital and non-digital working mechanisms to foster learning and motivation? • How can trainees learn and play together if they are not always present at the same time in within the same learning environment? The saying at IJsfontein is that individually you can progress, but only together you can persevere. The aim of this collaboration with Hanze University of Applied Sciences Groningen is to provide playful learning designers with concrete and reusable design guidelines for leveraging social processes in playful learning across the digital/non-digital boundary. As such, we seek to contribute to the practically-oriented design knowledge available to the creative industry through design research that is grounded in practice. This type of design knowledge can only be fully developed when evaluated across different contexts of application. Therefore, we will form a consortium of partners from the creative industry to write a joint follow-up funding application
