This paper presents a method for Universities of Applied Sciences (UAS) to account for the impact of research. The 36 UAS in The Netherlands aim to contribute to global challenges and pressing social issues through practice-based research. Given this aim UAS have a strong responsibility to account for the impact of their research and to show that the public research money is well spent. This paper shows that none of the existing methods for assessing the impact of research are suitable for the research conducted at Dutch UAS. It offers an alternative approach based on narratives supported by empirical evidence.
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This study explores the evaluation of research pathways of self-management health innovations from discovery to implementation in the context of practice-based research. The aim is to understand how a new process model for evaluating practice-based research provides insights into the implementation success of innovations. Data were collected from nine research projects in the Netherlands. Through document analysis and semi-structured interviews, we analysed how the projects start, evolve, and contribute to the healthcare practice. Building on previous researchevaluation approaches to monitor knowledge utilization, we developed a Research Pathway Model. The model’s process character enables us to include and evaluate the incremental work required throughout the lifespan of an innovation project and it helps to foreground that innovation continues during implementation in real-life settings. We found that in each researchproject, pathways are followed that include activities to explore a new solution, deliver a prototype and contribute to theory. Only three projects explored the solution in real life and included activities to create the necessary changes for the solutions to be adopted. These three projects were associated with successful implementation. The exploration of the solution in a real-life environment in which users test a prototype in their own context seems to be a necessaryresearch activity for the successful implementation of self-management health innovations.
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In dit artikel wordt eerst beschreven wat het verschil is tussen Evidence Based Practice (EBP) en Practice Based Evidence (PBE). Vervolgens wordt ingegaan op het toepassen van EBP en PBE in de praktijk. Dit gebeurt met behulp van de begrippen normativiteit en contextualiteit. Tot slot worden, in het licht van het voorafgaande, de rollen beschreven die de professional kan innemen ten aanzien van het verbeteren en ontwikkelen van zijn handelen. Aan bod komen de 'reflective practitioner', de 'evidence based practitioner' en de 'scientist practitioner'.
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Youth care is under increasing pressure, with rising demand, longer waiting lists, and growing staff shortages. In the Netherlands, one in seven children and adolescents is currently receiving youth care. At the same time, professionals face high workloads, burnout risks, and significant administrative burdens. This combination threatens both the accessibility and quality of care, leading to escalating problems for young people and families. Artificial intelligence (AI) offers promising opportunities to relieve these pressures by supporting professionals in their daily work. However, many AI initiatives in youth care fail to move beyond pilot stages, due to barriers such as lack of user acceptance, ethical concerns, limited professional ownership, and insufficient integration into daily practice. Empirical research on how AI can be responsibly and sustainably embedded in youth care is still scarce. This PD project aims to develop practice-based insights and strategies that strengthen the acceptance and long-term adoption of AI in youth care, in ways that support professional practice and contribute to appropriate care. The focus lies not on the technology itself, but on how professionals can work with AI within complex, high-pressure contexts. The research follows a cyclical, participatory approach, combining three complementary implementation frameworks: the Implementation Guide (Kaptein), the CFIR model (Damschroder), and the NASSS-CAT framework (Greenhalgh). Three case studies serve as core learning environments: (1) a speech-to-text AI tool to support clinical documentation, (2) Microsoft Copilot 365 for organization-wide adoption in support teams, and (3) an AI chatbot for parents in high-conflict divorces. Throughout the project, professionals, clients, ethical experts, and organizational stakeholders collaborate to explore the practical, ethical, and organizational conditions under which AI can responsibly strengthen youth care services.
The project Decolonising Education: from Teachers to Leading Learners (DETeLL) aims to develop a multi-site approach for interventions towards inclusion and decolonisation in order to change the hierarchical nature of higher education in the Netherlands. DETeLL identifies the model of the ‘traditional teacher’ as embodying the structural exclusions and discriminations built into the classroom and proposes the figure of a ‘Leading Learner’ as a first step towards a radical change in the educational system. In collaboration with the education departments in the Theatre and Dance Academy at ArtEZ, the post-doc will build up a research and teaching programme that engages with students and teachers in the faculty to create a prototype of an inclusive and diverse educational practice. RELEVANCE: Education should be the critical space in which changes occur in order to shape best possible futures. In DETeLL’s acceptation, decolonisation refers to a complete change in the way of thinking and behaving. It does not refer only to the urgency of dealing with historical colonial legacies embedded in society, but also to the subversion of the deeply oppressive colonial culture that (also unconsciously) regulates public and private living, whether this is related to gender, race, class or sexuality issues. RESULTS: 1) Create a theory and practice-based scientific base-line of decolonisation and art education; 2) Provide a definition of ‘Artist educator as Leading Learner’ following a practice- based methodology of intervention; 3) Design and Pilot a new teaching programme for theatre education at ArtEZ to be then upscaled to all educational departments in a follow-up project); 4) Produce a strong interdisciplinary and international output plan: 3 academic publications, 2 conferences, 4 expert group workshops. NETWORK: ArtEZ; University of Amsterdam (UvA); Ghent University; UCHRI; Hildesheim University; Cape Town University. The partners will serve as steering committee through planned expert group meetings.
The transition to a circular economy requires innovative digital solutions to extend the lifespan of electrical and electronic appliances (EEA) and reduce the volume of waste generated by this product stream. Digital Product Passports (DPPs) make product and usage information accessible to supply chain partners and serve as a crucial tool for optimising circular strategies. DPP data on performed maintenance, upgrades, (sensor) data on EEA usage, diagnostics and repairs support supply chain actors throughout the product lifecycle in carrying out their circular responsibilities. This project focuses on the application of DPPs in the "Middle-of-Life" phase of EEA products, specifically dishwashers and coffee machines. The central research question is: How can the EEA supply chain design and actively manage a DPP in a way that creates value for all stakeholders in the Middle-of-Life phase and contributes to product life extension and circularity? The applied methodology is based on Design Science Research (DSR) and Co-design, in which manufacturers, repair services, collection partners and DPP solution providers collaborate on a practice-oriented implementation. In co-design sessions, the requirements and functionalities of DPPs are defined based on identified circular roles and related information needs. These are then translated into a DPP "Proof of Concept", which is tested by partners across the electronics value chain. The intended outcome is an implemented and validated DPP concept that unlocks product data, optimises circular processes, and strengthens collaboration within the supply chain. This project contributes to strategic policy agendas on digitalisation and circularity and offers a blueprint for the broader application of DPPs in the EEA sector. The project partners – ATAG Benelux, E-Care, Beekman B.V., Holland Circulair, Eviden, Saxion University of Applied Sciences, and HU University of Applied Sciences Utrecht – combine their expertise to develop a future-proof, scalable and practice-based DPP solution.
