To elucidate how authoritative knowledge is established for better dealing with unstructured urban problems, this article describes how collaborations between researchers and officials become an instrument for conceptualizing and addressing policy problems. A case study is used to describe a research consortium evaluating the controversial practice of ‘Lifestyle’ based housing allocation in the Dutch domain of social-housing. Analyzing this case in key episodes, we see researchers and policymakers selectively draw on established institutional practices—their so called ‘home practices’—to jointly (re-)structure problems. In addition, we find that restructuring problems is not only intertwined with, but also deliberately aimed at (re-)structuring the relations within and between the governmental practices, the actors are embedded in. It is by selectively tinkering with knowledges, values, norms, and criteria that the actors can deliberately enable and constrain the ways a real-world problem is addressed.
This opinion piece addresses issues surrounding the role of researchers’ behaviour in bridging the science–policy gap in sustainable tourism mobility. Currently, the research agenda on bridging this gap encompasses the development of fuller understanding of the determinants of tourist behaviours, and only a partial understanding of the behaviour of policy-makers and industry. That latter area needs research to identify how those key actors can be encouraged towards developing sustainable tourism mobility. This paper argues that key determinants of researchers' behaviour need to be added to that research agenda. It discusses seven tensions and structures hindering researchers exploring how to mobilise and engage with other industry and policy-makers, including dangers related to the politicisation of science, balancing objectivity and engagement, and the consequences of the current publication culture that characterises the academic community. The discussion concludes with a call for action to researchers to address these tensions and structures. It suggests four ways forward, including informed and skilled engagement with the quality mass media, using proven methods of academic–industry cooperation, workshops to help editors and reviewers to better understand practice-linked, values-driven research issues and the creation of a policy-makers' industry and researchers' action group to encourage joint projects.
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Policy analysis is a broad and versatile field of applied policy research and advice, where a multitude of perspectives and methods have developed. In this paper, we attempt to (re)structure the discipline in a single conceptual model. The model was derived on the basis of a review of relevant literature on policy analysis styles and a review of about 20 exemplary cases in the field of technology, policy and management. The model serves three purposes: understanding of policy analysis as a discipline, contribution to the design of new policy analysis methods and projects, and guidance for evaluating such methods and projects. The model identifies six activities and translates these into six underlying policy analytic styles. Each style implies different values, and calls for different criteria when it comes to evaluation. An important claim of the model is that, in practice, policy analysis consists of creatively combining these activities and styles.
Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
Developing a framework that integrates Advanced Language Models into the qualitative research process.Qualitative research, vital for understanding complex phenomena, is often limited by labour-intensive data collection, transcription, and analysis processes. This hinders scalability, accessibility, and efficiency in both academic and industry contexts. As a result, insights are often delayed or incomplete, impacting decision-making, policy development, and innovation. The lack of tools to enhance accuracy and reduce human error exacerbates these challenges, particularly for projects requiring large datasets or quick iterations. Addressing these inefficiencies through AI-driven solutions like AIDA can empower researchers, enhance outcomes, and make qualitative research more inclusive, impactful, and efficient.The AIDA project enhances qualitative research by integrating AI technologies to streamline transcription, coding, and analysis processes. This innovation enables researchers to analyse larger datasets with greater efficiency and accuracy, providing faster and more comprehensive insights. By reducing manual effort and human error, AIDA empowers organisations to make informed decisions and implement evidence-based policies more effectively. Its scalability supports diverse societal and industry applications, from healthcare to market research, fostering innovation and addressing complex challenges. Ultimately, AIDA contributes to improving research quality, accessibility, and societal relevance, driving advancements across multiple sectors.
The postdoc candidate, Giuliana Scuderi, will strengthen the connection between the research group Biobased Buildings (BB), (collaboration between Avans University of Applied Sciences and HZ University of Applied Sciences (HZ), and the Civil Engineering bachelor programme (CE) of HZ. The proposed research aims at deepening the knowledge about the mechanical properties of biobased materials for the application in the structural and infrastructural sectors. The research is relevant for the professional field, which is looking for safe and sustainable alternatives to traditional building materials (such as lignin asphalt, biobased panels for bridge constructions, etc.). The study of the mechanical behaviour of traditional materials (such as concrete and steel) is already part of the CE curriculum, but the ambition of this postdoc is that also BB principles are applied and visible. Therefore, from the first year of the programme, the postdoc will develop a biobased material science line and will facilitate applied research experiences for students, in collaboration with engineering and architectural companies, material producers and governmental bodies. Consequently, a new generation of environmentally sensitive civil engineers could be trained, as the labour market requires. The subject is broad and relevant for the future of our built environment, with possible connections with other fields of study, such as Architecture, Engineering, Economics and Chemistry. The project is also relevant for the National Science Agenda (NWA), being a crossover between the routes “Materialen – Made in Holland” and “Circulaire economie en grondstoffenefficiëntie”. The final products will be ready-to-use guidelines for the applications of biobased materials, a portfolio of applications and examples, and a new continuous learning line about biobased material science within the CE curriculum. The postdoc will be mentored and supervised by the Lector of the research group and by the study programme coordinator. The personnel policy and job function series of HZ facilitates the development opportunity.
