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Purpose – purpose of this article is to report about the progress of the development of a method that makes sense of knowledge productivity, in order to be able to give direction to knowledge management initiatives. Methodology/approach – the development and testing of the method is based on the paradigm of the Design Sciences. In order to increase the objectivity of the research findings, and in order to test the transferability of the method, this article suggests a methodology for beta testing. Findings – based on the experiences within this research, the concept of beta testing seems to fit Design Science Research very well. Moreover, applying this concept within this research resulted in valuable findings for further development of the method. Research implications – this is the first article that explicitly applies the concept of beta testing to the process of developing solution concepts. Originality/value – this article contributes to the further operationalization of the relatively new concept of knowledge productivity. From a methodological point of view, this article aims to contribute to the paradigm of the Design Sciences in general, and the concept of beta testing in particular.
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Facility management has recently met several inflection points that call for new working methods; therefore, IFMA must foster and facilitate discussions to help set a new course for the industry. FM should build upon a history of innovation and use the field's complexity and multidisciplinarity to its advantage. By understanding current and emergent end-user needs and societal requirements, FM practitioners can identify new opportunities for future development. By understanding how building layers interact across disparate time scales, facility managers can enact systemic change for the benefit of end users, organizations and communities. Facility managers have an opportunity to be at the forefront of transformative change and lead the industry to higher ground.
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A unique testing ground where the creative sector and education work together to better understand the possibilities around volumetric video capturing. Within a volumetric studio, dozens of cameras capture all the movements of a living subject simultaneously. These recordings are converted into a fully moving and digital image, which results in an image that is barely distinguishable from reality. Chronosphere gives content creators and scientists the unique opportunity to experiment with volumetric capturing, using the newest volumetric studio within De Effenaar. There is room for a total of twenty projects, and proposals can be submitted.Partners:De Effenaar 4DR Studios Wildvreemd Natlab 360 verbeelding Dutch Rose Media Hyperspace Institute Fontys Hogescholen TU/e Center for Humans & Technology
The DALI project is carried out under the flag of Logistics Community Brabant. DALI is a testing ground aimed at lifting datafication in the logistics sector of the south of the Netherlands to a higher level, consequently future-proofing the sector.DALI focuses on developing knowledge-intensive logistics (smart logistics): devising, developing, demonstrating and applying new logistics working methods. The project’s aim is to create higher added value, increase the efficiency of goods flow handling, and maintain our international market position.Within DALI, 18 companies are carrying out cases in the area of datafication. The findings from the business cases are translated into generic applications for the logistics and supply chain sector and education. In addition, they are developing a community of data and logistics specialists.Partners:LCB, Gemeenten Breda en Tilburg, REWIN, Midpoint Brabant, Ministerie van Economische Zaken en Klimaat, Rijksoverheid, Provincie Noord-Brabant, Regio West-Brabant, Regio Hart van Brabant.In Dutch:Proeftuin van logistieke innovatie. DALI is een project waarin 18 bedrijven pilots uitvoeren om met datatoepassingen processen in de logistiek en supply chain te verslimmen. Vanuit deze pilots worden generieke toepassingen en tools op het gebied van data ontwikkeld voor MKB-bedrijven en het onderwijs.
Entangled Machines is a project by Mariana Fernández Mora that interrogates the colonial and extractive legacies underpinning artificial intelligence (AI). By introducing slowness and digital kinship as critical frameworks, the project reconceptualises AI as embedded within intricate social and ecological networks, thereby contesting dominant narratives of efficiency and optimisation. Through participatory, practice-based methodologies such as the Material Playground, the project integrates feminist and non-Western epistemologies to articulate alternative models for ethical, sustainable, and equitable AI practices. Over a four-year period, Entangled Machines develops theory, engages diverse communities, and produces artistic outputs to reimagine human-AI interactions. In collaboration with partners including ARIAS Amsterdam, Archival Consciousness, and the Sandberg Institute, the research seeks to foster decolonial and interdisciplinary approaches to AI. Its culmination will be an “Anarchive” – a curated assemblage of artistic, theoretical, and archival outputs – that serves as a resource for rethinking AI’s socio-political and ecological impacts.
