poster voor de EuSoMII Annual Meeting in Pisa, Italië in oktober 2023. PURPOSE & LEARNING OBJECTIVE Artificial Intelligence (AI) technologies are gaining popularity for their ability to autonomously perform tasks and mimic human reasoning [1, 2]. Especially within the medical industry, the implementation of AI solutions has seen an increasing pace [3]. However, the field of radiology is not yet transformed with the promised value of AI, as knowledge on the effective use and implementation of AI is falling behind due to a number of causes: 1) Reactive/passive modes of learning are dominant 2) Existing developments are fragmented 3) Lack of expertise and differing perspectives 4) Lack of effective learning space Learning communities can help overcome these problems and address the complexities that come with human-technology configurations [4]. As the impact of a technology is dependent on its social management and implementation processes [5], our research question then becomes: How do we design, configure, and manage a Learning Community to maximize the impact of AI solutions in medicine?
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Whitepaper: The use of AI is on the rise in the financial sector. Utilizing machine learning algorithms to make decisions and predictions based on the available data can be highly valuable. AI offers benefits to both financial service providers and its customers by improving service and reducing costs. Examples of AI use cases in the financial sector are: identity verification in client onboarding, transaction data analysis, fraud detection in claims management, anti-money laundering monitoring, price differentiation in car insurance, automated analysis of legal documents, and the processing of loan applications.
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This study addresses the burgeoning global shortage of healthcare workers and the consequential overburdening of medical professionals, a challenge that is anticipated to intensify by 2030 [1]. It explores the adoption and perceptions of AI-powered mobile medical applications (MMAs) by physicians in the Netherlands, investigating whether doctors discuss or recommend these applications to patients and the frequency of their use in clinical practice. The research reveals a cautious but growing acceptance of MMAs among healthcare providers. Medical mobile applications, with a substantial part of IA-driven applications, are being recognized for their potential to alleviate workload. The findings suggest an emergent trust in AI-driven health technologies, underscored by recommendations from peers, yet tempered by concerns over data security and patient mental health, indicating a need for ongoing assessment and validation of these applications
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Denim Democracy from the Alliance for Responsible Denim (ARD) is an interactive exhibition that celebrates the journey and learning of ARD members, educates visitors about sustainable denim and highlights how companies collaborate together to achieve results. Through sight, sound and tactile sensations, the visitor experiences and fully engages sustainable denim production. The exhibition launches in October 2018 in Amsterdam and travels to key venues and locations in the Netherlands until April 2019. As consumers, we love denim but the denim industry, like other sub-sectors in the textile, apparel and footwear industries, faces many complex sustainability challenges and has been criticized for its polluting and hazardous production practices. The Alliance for Responsible Denim project brought leading denim brands, suppliers and stakeholders together to collectively address these issues and take initial steps towards improving the ecological sustainability impact of denim production. Sustainability challenges are considered very complex and economically undesirable for individual companies to address alone. In denim, small and medium sized denim firms face specific challenges, such as lower economies of scale and lower buying power to affect change in practices. There is great benefit in combining denim companies' resources and knowledge so that collective experimentation and learning can lift the sustainability standards of the industry and lead to the development of common standards and benchmarks on a scale that matters. If meaningful, transformative industrial change is to be made, then it calls for collaboration between denim industry stakeholders that goes beyond supplier-buyer relations and includes horizontal value chain collaboration of competing large and small denim brands. However collaboration between organizations, and especially between competitors, is highly complex and prone to failure. The research behind the Alliance for Responsible Denim project asked a central research question: how do competitors effectively collaborate together to create common, industry standards on resource use and benchmarks for improved ecological sustainability? To answer this question, we used a mixed-method, action research approach. The Alliance for Responsible Denim project mobilized and facilitated denim brands to collectively identify ways to reduce the use of water and chemicals in denim production and then aided them to implement these practices individually in their respective firms.
De markt vraagt om steeds meer productvariëteit. Veel bedrijven realiseren productvariëteit nu met veel klant-specifiek engineeringswerk (Engineer-to-Order/EtO). Dit zet druk op alle afdelingen in het bedrijf zoals sales, engineering, productie en service. Een uitdagende manier voor deze bedrijven, om beter met het spanningsveld tussen externe en interne eisen om te gaan, is het ontwikkelen van meer configureerbare producten (lego principe}. Hiervoor is een modulaire opbouw van het product nodig waarin verschillende productonderdelen gestandaardiseerd zijn en gebruikt kunnen worden in verschillende eindproducten. Zo kan, met minder engineeringsactiviteiten, een product geconfigureerd worden (Configure-to-Order/CtO) en de klant productvariëteit worden geboden zonder alle interne druk. Voor diverse bedrijven vormen ook de mogelijkheden van Industry 4.0 en sustainabilty ambities belangrijke drivers in hun streven naar meer CtO. Het implementeren van CtO is echter niet eenvoudig. Het vraagt om aanzienlijke capaciteit, kennis en kunde op het gebied van productontwikkeling, procesontwikkeling en het veranderproces. Betrokkenheid van medewerkers uit alle belangrijke afdelingen (verkoop, engineering, productie, service etc.) is een vereiste. Mkb-bedrijven worstelen hiermee en hebben behoefte aan goede tools en technieken, zowel inhoudelijk, over de ontwikkeling van de productarchitectuur en de impact hiervan op de bedrijfsprocessen, als veranderkundig, hoe deze transitie tot stand te brengen. In dit Sia RAAK-mkb onderzoek willen wij samen met productie mkb-bedrijven, kennisinstellingen en brancheorganisaties een integrale aanpak ontwikkelen om CtO op een goede manier te implementeren. De deelnemende mkb-bedrijven hebben de duidelijke wens om dit de komende jaren te doen. Voor de specifieke casussen zullen met casestudies en interventieonderzoek aanpakken ontwikkeld worden. Studentprojecten zullen ondersteuning geven aan de verschillende interventies. Vervolgens zal systematisch case-vergelijkend onderzoek worden uitgevoerd om inzicht te krijgen in wat in welke situatie werkt. Op basis van het case-vergelijkend onderzoek worden tools en technieken ontwikkeld die enerzijds generiek zijn en anderzijds kunnen worden aangepast aan specifieke bedrijfssituaties.
The IMPULS-2020 project DIGIREAL (BUas, 2021) aims to significantly strengthen BUAS’ Research and Development (R&D) on Digital Realities for the benefit of innovation in our sectoral industries. The project will furthermore help BUas to position itself in the emerging innovation ecosystems on Human Interaction, AI and Interactive Technologies. The pandemic has had a tremendous negative impact on BUas industrial sectors of research: Tourism, Leisure and Events, Hospitality and Facility, Built Environment and Logistics. Our partner industries are in great need of innovative responses to the crises. Data, AI combined with Interactive and Immersive Technologies (Games, VR/AR) can provide a partial solution, in line with the key-enabling technologies of the Smart Industry agenda. DIGIREAL builds upon our well-established expertise and capacity in entertainment and serious games and digital media (VR/AR). It furthermore strengthens our initial plans to venture into Data and Applied AI. Digital Realities offer great opportunities for sectoral industry research and innovation, such as experience measurement in Leisure and Hospitality, data-driven decision-making for (sustainable) tourism, geo-data simulations for Logistics and Digital Twins for Spatial Planning. Although BUas already has successful R&D projects in these areas, the synergy can and should significantly be improved. We propose a coherent one-year Impuls funded package to develop (in 2021): 1. A multi-year R&D program on Digital Realities, that leads to, 2. Strategic R&D proposals, in particular a SPRONG/sleuteltechnologie proposal; 3. Partnerships in the regional and national innovation ecosystem, in particular Mind Labs and Data Development Lab (DDL); 4. A shared Digital Realities Lab infrastructure, in particular hardware/software/peopleware for Augmented and Mixed Reality; 5. Leadership, support and operational capacity to achieve and support the above. The proposal presents a work program and management structure, with external partners in an advisory role.
