Zoekresultaten

Living Lab Toolkit: Insights from the Sport and Social Cohesion Lab (SSCL) Project

Over the last decade, sport and physical activity have become increasingly recognised and implemented as tools to foster social cohesion in neighbourhoods, cities and communities around Europe. As a result, numerous programmes have emerged that attempt to enhance social cohesion through a variety of sport-based approaches (Moustakas, Sanders, Schlenker, & Robrade, 2021; Svensson & Woods, 2017). However, despite this boom in sport and social cohesion, current definitions and understandings of social cohesion rarely take into account the needs, expectations or views of practitioners, stakeholders and, especially, participants on the ground (Raw, Sherry, & Rowe, 2021). Yet, to truly foster broad social outcomes like social cohesion, there is increasing recognition that programmes must move beyond interventions that only focus on the individual level, and instead find ways to work with and engage a wide array of stakeholders and organisations (Hartmann & Kwauk, 2011; Moustakas, 2022). In turn, this allows programmes to respond to community needs, foster engagement, deliver more sustainable outcomes, and work at both the individual and institutional levels. The Living Lab concept - which is distinguished by multi-stakeholder involvement, user engagement, innovation and co-creation within a real-life setting - provides an innovative approach to help achieve these goals. More formally, Living Labs have been defined as “user-centred, open innovation ecosystems based on a systematic user co-creation approach, integrating research and innovation processes in real-life communities and settings” (European Network of Living Labs, 2021). Thus, this can be a powerful approach to engage a wide array of stakeholders, and create interventions that are responsive to community needs. As such, the Sport for Social Cohesion Lab (SSCL) project was conceived to implement a Living Lab approach within five sport for social cohesion programmes in four different European countries. This approach was chosen to help programmes directly engage programme participants, generate understanding of the elements that promote social cohesion in a sport setting and to co-create activities and tools to explore, support and understand social cohesion within these communities. The following toolkit reflects our multi-national experiences designing and implementing Living Labs across these various contexts. Our partners represent a variety of settings, from schools to community-based organisations, and together these experiences can provide valuable insights to other sport (and non-sport) organisations wishing to implement a Living Lab approach within their contexts and programmes. Thus, practitioners and implementers of community-based programmes should be understood as the immediate target group of this toolkit, though the insights and reflections included here can be of relevance for any individual or organisation seeking to use more participatory approaches within their work. In particular, in the coming sections, this toolkit will define the Living Lab concept more precisely, suggest some steps to launch a Living Lab, and offer insights on how to implement the different components of a Living Lab.

On-line lab-experiments, a help for IPD projects?

Described are the results of a study that was set up to get insight into the appreciation of students for distance learning, especially concerning online lab-experiments. We wanted to know whether an online lab-experiment is more or less effective than a regular one and how it can be used in IPD-projects. Preliminary data analyses have shown that the appreciation of an online lab-experiment is dependent on a number of items, like the educational contents of the experiment itself, the way accompanying theory is presented, possibilities of doing the experiment in an alternative way, the organization around the experiment etc. It appears also that students give serious suggestions on developing other online lab-experiments and the way to use it in IPD-projects. A description is given of the web-based experiment "cube measurement", which is carried out using a remotely operated robot and image processing functions. The students' appreciation is discussed and suggestions are given on how comparable experiments can contribute to work in an IPD environment.

A research update from the BUas Experience Lab.

Lab Amsterdam

Amsterdam as a lab. That is what Amsterdam University of Applied Sciences' three fieldlabs and its many partners have in mind. Functional illiteracy, debts, learning deficiencies or problems caused by extreme precipitation: the city contains plenty of tough issues, demanding novel approaches in which co-creation and participation by residents, social organizations and knowledge institutions are basic principles.In the fieldlabs, people try to change current practices by working with, instead of for or on behalf of those whom it concerns. But how to achieve effective learning environments between parties? How to encourage stakeholder participation in complex issues? And how to build new relations and roles?

The AI Learning LAB

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?

Moral food lab: Transforming the food system with crowd-sourced ethics

Moral food lab: Transforming the food system with crowd-sourced ethics