Manifest en verslag naar aanleiding van het legal design symposium van 23 april 2021
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De uitdagingen voor de (toekomstige) professionals zijn groot. Voor de innovatie van juridische dienstverlening en de morele dillema’s binnen de juridische beroepspraktijk, zijn hbo’ers nodig die verder kunnen kijken dan de regels en de toepassing ervan; mensen die altijd de mens blijven zien en horen en kunnen reflecteren op hun professioneel handelen. Er zijn meer toegankelijke en rechtvaardige oplossingen nodig die zorgen voor de toegang tot recht. Dat vergt behalve het kunnen inleven in mensen ook maatwerk, praktische wijsheid en creatief denken. Waarbij praktische wijsheid staat voor het zoeken naar antwoorden in concrete situaties waarvoor geen standaardantwoorden uit regelgeving, leerboeken en protocollen te vinden zijn
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Design and development practitioners such as those in game development often have difficulty comprehending and adhering to the European General Data Protection Regulation (GDPR), especially when designing in a private sensitive way. Inadequate understanding of how to apply the GDPR in the game development process can lead to one of two consequences: 1. inadvertently violating the GDPR with sizeable fines as potential penalties; or 2. avoiding the use of user data entirely. In this paper, we present our work on designing and evaluating the “GDPR Pitstop tool”, a gamified questionnaire developed to empower game developers and designers to increase legal awareness of GDPR laws in a relatable and accessible manner. The GDPR Pitstop tool was developed with a user-centered approach and in close contact with stakeholders, including practitioners from game development, legal experts and communication and design experts. Three design choices worked for this target group: 1. Careful crafting of the language of the questions; 2. a flexible structure; and 3. a playful design. By combining these three elements into the GDPR Pitstop tool, GDPR awareness within the gaming industry can be improved upon and game developers and designers can be empowered to use user data in a GDPR compliant manner. Additionally, this approach can be scaled to confront other tricky issues faced by design professionals such as privacy by design.
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As multifunctional places that combine shopping and hospitality with public space and residential functions, urban consumption spaces are sites where different normative orders surface and sometimes clash. In Amsterdam, such a clash emerged over touristification of consumption spaces, eroding place attachment for local residents and urging the city government to take action. Based on policy analysis and interviews with entrepreneurs and key informants, we demonstrate how Amsterdam’s city government is responding to this issue, using legal pluralism that exists within formal state law. Specifically, the city government combines four instruments to manage touristification of consumption spaces, targeting so-called tourist shops with the aim to drive them out of the inner city. This strategic combination of policy instruments designed on various scales and for different publics to pursue a local political goal jeopardizes entrepreneurs’ rights to legal certainty. Moreover, implicitly based on class-based tastes and distrust towards particular minority groups of entrepreneurs, this policy strategy results in institutional discrimination that has far-reaching consequences for entrepreneurs in itself, but also affects trust relations among local stakeholders.
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Abstract van Poster presentatie. Our student-interpreters feel ill prepared for assignments that involve sign supported speech (Anonymous, 2015). This is probably due to the fact that there is no single way of communicating in sign supported speech (Sutton-Spence & Woll, 1999). Our study investigates if and how we could prepare our students within a fouryear bachelor curriculum.
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Abstract van prestentatie. According to Roy and Napier (2015), the earliest research on sign language interpreting dates to the mid-1970s. More recently we have acknowledged the need for research to be part of sign language interpreter (SLI) education programs (Winston, 2013). At present, educators feel an urgent need to embed research in their SLI programs with two goals: first, to firmly base their teaching in evidencebased practice, and second, to teach future interpreters how to continuously improve their practice
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Hoofdstuk in Frontiers in Gaming Simulation. Design thinking, design methodology and design science gain much attention in the domain of gaming and simulation and their theories offer parallels to knowledge exchange in youth care services. Design science research covers context independent engineering and constructionist creativity in pursuit of general values and is built on the synthesis of what already exits and of what might be. Design thinking and design methodology address questions that show similarities to youth care problem solving and future scenario development. The core business of youth care workers is to support positive change and to develop beneficial opportunities for child-rearing. Effective knowledge exchange in networks is the key to successful intervention and simulation gaming might help to study its processes and outcomes, however, we need appropriate validation tools and methods. The author argues that the design and analytical sciences complement each other in research of network exchange. Analytical approaches might develop and test theories about knowledge acquisition and transfer, while design approaches could enhance the exchange of situational, interactional, and interventional expertise. This proposition is explored in a multiple case study in which an analysis tool has been used to structure and study knowledge exchange in youth care networks through simulation gaming.
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Abstract: Unlike manufacturing technology for semiconductors and printed circuit boards, the market for traditional micro assembly lacks a clear public roadmap. More agile manufacturing strategies are needed in an environment in which dealing with change becomes a rule instead of an exception. In this paper, an attempt is made to bring production with universal micro assembly cells to the next level. This is realised by placing a larger number of cells, called Equiplets, in a “Grid”. Equiplets are compact and low-cost manufacturing platforms that can be reconfigured to a broad number of applications. Benchmarking Equiplet production has shown reduced time to market and a smooth transition from R&D to Manufacturing. When higher production volumes are needed, more systems can be placed in parallel to meet the manufacturing demand. Costs of product design changes in the later stage of industrialisation have been reduced due to the modular production in grids, which allows the final design freeze to be postponed as late as possible. The need for invested capital is also pushed backwards accordingly. doi 10.1007/978-3-642-11598-1_32
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Artificial Intelligence (AI) offers organizations unprecedented opportunities. However, one of the risks of using AI is that its outcomes and inner workings are not intelligible. In industries where trust is critical, such as healthcare and finance, explainable AI (XAI) is a necessity. However, the implementation of XAI is not straightforward, as it requires addressing both technical and social aspects. Previous studies on XAI primarily focused on either technical or social aspects and lacked a practical perspective. This study aims to empirically examine the XAI related aspects faced by developers, users, and managers of AI systems during the development process of the AI system. To this end, a multiple case study was conducted in two Dutch financial services companies using four use cases. Our findings reveal a wide range of aspects that must be considered during XAI implementation, which we grouped and integrated into a conceptual model. This model helps practitioners to make informed decisions when developing XAI. We argue that the diversity of aspects to consider necessitates an XAI “by design” approach, especially in high-risk use cases in industries where the stakes are high such as finance, public services, and healthcare. As such, the conceptual model offers a taxonomy for method engineering of XAI related methods, techniques, and tools.
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To benefit from the social capabilities of a robot math tutor, instead of being distracted by them, a novel approach is needed where the math task and the robot's social behaviors are better intertwined. We present concrete design specifications of how children can practice math via a personal conversation with a social robot and how the robot can scaffold instructions. We evaluated the designs with a three-session experimental user study (n = 130, 8-11 y.o.). Participants got better at math over time when the robot scaffolded instructions. Furthermore, the robot felt more as a friend when it personalized the conversation.
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