This paper analyses the impact of two structural context factors on mathematics teacher students. First, the Netherlands is coping with a massive mathematics teacher shortage. Second, the Dutch knowledge-economy feeds the private tutoring sector. The impact on young teacher-students is tremendous; they start working as a teacher too early. Besides successful studying, broader professionalization and quality of mathematics education are in jeopardy. A quick-fix for mathematics education might do more damage than foreseen.
This paper analyses co-creation in urban living labs through a multi-level network perspective on system innovation. We draw on the case House of Skills, a large, multi-stakeholder living lab aimed at developing a ‘skills-based’ approach towards labour market innovation within the Amsterdam Metropolitan Region. Ouranalysis helps understand stakeholder dynamics towards system innovation, drawing on an innovative living lab example and taking into consideration the multi-layered structures that comprise the collaboration. Our conceptual framework provides an important theoretical contribution to innovation studies and offers a practical repertoire that can help practitioners improve co-creation of shared value in living labs, towards orchestrating flexible structures that strengthen the impact of their initiatives.
LINK
Seamless integration of air segment in the overall multimodal mobility chain is a key challenge to provide more efficient and sustainable transport services. Technology advances offer a unique opportunity to build a new generation of transport services able to match the evolving expectations and needs of society as a whole. In this context, the passenger-centric approach represents a method to inform the design of future mobility services, supporting quality of life, security and services to citizens traveling across Europe. Relying on the concepts of inclusive design, context of use and task analysis, in this article, we present a comprehensive methodological framework for the analysis of passenger characteristics to elicit features and requirements for future multimodal mobility services, including air leg, that are relevant from the perspective of passengers. The proposed methodology was applied to a series of specific use cases envisaged for three time horizons, 2025, 2035 and 2050, in the context of a European research project. Then, passenger-focused key performance indicators and related metrics were derived to be included in a validation step, with the aim of assessing the extent of benefit for passengers that can be achieved in the forecasted scenarios. The results of the study demonstrate the relevance of human variability in the design of public services, as well as the feasibility of personalized performance assessment of mobility services.
The maximum capacity of the road infrastructure is being reached due to the number of vehicles that are being introduced on Dutch roads each day. One of the plausible solutions to tackle congestion could be efficient and effective use of road infrastructure using modern technologies such as cooperative mobility. Cooperative mobility relies majorly on big data that is generated potentially by millions of vehicles that are travelling on the road. But how can this data be generated? Modern vehicles already contain a host of sensors that are required for its operation. This data is typically circulated within an automobile via the CAN bus and can in-principle be shared with the outside world considering the privacy aspects of data sharing. The main problem is, however, the difficulty in interpreting this data. This is mainly because the configuration of this data varies between manufacturers and vehicle models and have not been standardized by the manufacturers. Signals from the CAN bus could be manually reverse engineered, but this process is extremely labour-intensive and time-consuming. In this project we investigate if an intelligent tool or specific test procedures could be developed to extract CAN messages and their composition efficiently irrespective of vehicle brand and type. This would lay the foundations that are required to generate big data-sets from in-vehicle data efficiently.
The overarching aim of the project is to contribute to the development of a sustainable, inclusive and just EU leisure, tourism and hospitality ecosystems, and will be achieved through three interrelated objectives:Create a body of knowledge and theoretical foundations, related to the application of land, capital and financial resources, to develop resilient and future-proof tourism destinations and tourism and travel businesses;Develop conceptual models that contribute towards collective models of resilience in tourism destinations and tourism and travel businesses and are based on equitable use of labour, land and natural resources and financial capital;Propose, through approved EU funding, interventions and applications towards new models of tourism destination management and corporate governance, that use sustainable parameters of success (regeneration of biodiversity and nature, improved human welfare of residents at destinations, social and environmental returns).The Project will lead to a series of research proposals that allows the consortium partners to address urgent societal challenges in Europe. During the project timeline, partners will disseminate findings and search for engagement by public and private actors. Ongoing collaboration and knowledge exchange with key industry actors will improve the resilience capacity of destinations through education, skill development, and co-creation of knowledge. Building resilience through tourism is not just an opportunity but a necessity in the face of global environmental and social challenges. The project will establish theoretical foundations for transitioning towards more resilient and environmentally and socially just ecosystems in the leisure, tourism, and hospitality sectors, aiming to shift the industry’s priorities from short-term gains to long-term sustainability. The project supports international collaboration by facilitating university staff mobility and involving students with diverse cultural, industry, and academic backgrounds and experiences. The successful application and completion of the project will strengthen the consortium's capacities and facilitate the ongoing international dialogue through the Resilient Tourism Ecosystems Lab (RTEL), consequently leading to future collaborative EU grant applications.