Local governments, traditionally an important partner of voluntary sport clubs in the Netherlands, are increasingly influencing clubs into involvement in social projects and activities. Although it is not clear what contribution sports clubs can play in this social policy agenda, or whether this agenda carries dangers of undermining the nature and strengths of these clubs (Coalter, 2007), more and more clubs in the Netherlands try to adapt to these demands. Sport clubs are no simple implementers of local social policy, they need autonomy to translate social activities to the local context and specific characteristics of the club to be successful (Skille, 2008). The aim of this study is to gain insight in the opinions of sport club members towards this upcoming social responsibility.
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Though there are different interpretations in the scholarly literature of what a social learning is: whether it is an individual, organisational, or collective process. For example, Freeman (2007), in his study on policy change in the public health sector, conceptualised collective learning of public officials as a process of epistemological bricolage. In his interpretation, the new policy ideas are the result of this bricolage process, when the “acquired second-hand” ideas are transformed into “something new”. The literature on (democratic) governance points opens another perspective to the policy change, emphasising the importance of public engagement in the policy-making process. Following this school of thought the new policy is the result of a deliberative act that involves different participants. In other words, the ideas about policy are not borrowed, but are born in social deliberation. Combining the insights gained from both literatures – social learning and governance – the policy change is interpreted, as a result of a broad social interaction process, which is also the social learning for all participants.The paper will focus on further development of the conceptualisation of policy change through social deliberation and social learning and will attempt to define the involved micro mechanisms. The exploratory case study of policy change that was preceded by a broad public debate will help to describe and establish the mechanisms. Specifically, the paper will focus on the decision of the Dutch government to cease the exploration of natural gas from the Groningen gas field. The radical change in national policy regarding gas exploration is seen as a result of a broader public debate, which was an act of social deliberation and social learning at the same time.
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Founded in 2004, the Games for Health Project supports community, knowledge and business development efforts to use cutting-edge games and game technologies to improve health and health care. The Games for Health Conference brings together researchers, medical professionals and game developers to share information about the impact of games, playful interaction and game technologies on health, health care and policy. Over two days, more than 400 attendees participate in over 60 sessions provided by an international array of 80+ speakers, cutting across a wide range of activities in health and health care. Topics include exergaming, physical therapy, disease management, health behavior change, biofeedback, rehab, epidemiology, training, cognitive health, nutrition and health education.
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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.
Over the last couple of years there is a growing interest in the role of the bicycle in Western urban transport systems as an alternative to car use. Cycling not only has positive environmental impacts, but also positive health effects through increased physical activity. From the observation of the Urban Intelligence team that cycling data and information was limited, we have started the development of cycleprint. Cycleprint stands for Cycle Policy Renewal and INnovation by means of tracking Technology with the objective to enable more customer friendly cycle policy.The initial objective of Cycleprint was to translate GPS data into policy relevant insights to enable customer friendly cycle policy. The online toolkit what Cycleprint has become, answers the questions about:-route choice-speeds-delays at intersections -intensities Because of the success of Cycleprint in the Netherlands the range of features is still under development. As a result of the development of Cycleprint the Dutch organized the fietstelweek. In addition to Cycleprint the Urban Intelligence team developed the cyclescan to explore the effects of cycle network enhancement. The project is developed in direct collaboration with the Provincie Noord-Brabant and Metropoolregio Eindhoven to fulfill the ambition to become cycling region of the Netherlands in 2020.
