Circular solutions require a systemic approach involving multiple actors within and across industrial sectors. This has implications for the structure and dynamics within geographically bounded entrepreneurial ecosystems. Actors within the entrepreneurial ecosystem assume the role of ‘system coordination’ but very little is known about this role. As circular solutions and transformations cannot be realized in isolation, a better understanding of this coordination role is pertinent, which actors perform it and the strategies they use to overcome challenges. We conduct a comparative study of two sectoral cases in the Netherlands. Our preliminary findings from the case on circular textiles shows that coordination is distributed among several and diverse ecosystem actors to close technical material flows, whereas our preliminary findings in agri-food show that coordination is concentrated among actors that explicitly assume the coordination role to close biological material flows. We intend to make novel contributions to the literature on circular economy business transformation and entrepreneurial ecosystems as well as provide insights on the system coordination role for policy makers and practitioners.
Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for a given coordination graph is therefore a central subroutine in cooperative multi-agent reinforcement learning (MARL). Much research in MARL focuses on how to gradually update the parameters of the coordination graph, whilst leaving the solving of the coordination graph up to a known typically exact and generic subroutine. However, exact methods { e.g., Variable Elimination { do not scale well, and generic methods do not exploit the MARL setting of gradually updating a coordination graph and recomputing the joint action to select. In this paper, we examine what happens if we use a heuristic method, i.e., local search, to select joint actions in MARL, and whether we can use outcome of this local search from a previous time-step to speed up and improve local search. We show empirically that by using local search, we can scale up to many agents and complex coordination graphs, and that by reusing joint actions from the previous time-step to initialise local search, we can both improve the quality of the joint actions found and the speed with which these joint actions are found.
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This chapter considers the use of haptics for learning fundamental rhythm skills, including skills that depend on multi-limb coordination. Different sensory modalities have different strengths and weaknesses for the development of skills related to rhythm. For example, vision has low temporal resolution and performs poorly for tracking rhythms in real time, whereas hearing is highly accurate. However, in the case of multi-limbed rhythms, neither hearing nor sight is particularly well suited to communicating exactly which limb does what and when, or how the limbs coordinate. By contrast, haptics can work especially well in this area, by applying haptic signals independently to each limb. We review relevant theories, including embodied interaction and biological entrainment. We present a range of applications of the Haptic Bracelets, which are computer-controlled wireless vibrotactile devices, one attached to each wrist and ankle. Haptic pulses are used to guide users in playing rhythmic patterns that require multi-limb coordination. One immediate aim of the system is to support the development of practical rhythm skills and multi-limb coordination. A longer-term goal is to aid the development of a wider range of fundamental rhythm skills including recognising, identifying, memorising, retaining, analysing, reproducing, coordinating, modifying and creating rhythms—particularly multi-stream (i.e. polyphonic) rhythmic sequences. Empirical results are presented. We reflect on related work and discuss design issues for using haptics to support rhythm skills. Skills of this kind are essential not just to drummers and percussionists but also to keyboards’ players and more generally to all musicians who need a firm grasp of rhythm.
MUSE supports the CIVITAS Community to increase its impact on urban mobility policy making and advance it to a higher level of knowledge, exchange, and sustainability.As the current Coordination and Support Action for the CIVITAS Initiative, MUSE primarily engages in support activities to boost the impact of CIVITAS Community activities on sustainable urban mobility policy. Its main objectives are to:- Act as a destination for knowledge developed by the CIVITAS Community over the past twenty years.- Expand and strengthen relationships between cities and stakeholders at all levels.- Support the enrichment of the wider urban mobility community by providing learning opportunities.Through these goals, the CIVITAS Initiative strives to support the mobility and transport goals of the European Commission, and in turn those in the European Green Deal.Breda University of Applied Sciences is the task leader of Task 7.3: Exploitation of the Mobility Educational Network and Task 7.4: Mobility Powered by Youth Facilitation.
The SPRONG-collaboration “Collective process development for an innovative chemical industry” (CONNECT) aims to accelerate the chemical industry’s climate/sustainability transition by process development of innovative chemical processes. The CONNECT SPRONG-group integrates the expertise of the research groups “Material Sciences” (Zuyd Hogeschool), “Making Industry Sustainable” (Hogeschool Rotterdam), “Innovative Testing in Life Sciences & Chemistry” and “Circular Water” (both Hogeschool Utrecht) and affiliated knowledge centres (Centres of Expertise CHILL [affiliated to Zuyd] and HRTech, and Utrecht Science Park InnovationLab). The combined CONNECT-expertise generates critical mass to facilitate process development of necessary energy-/material-efficient processes for the 2050 goals of the Knowledge and Innovation Agenda (KIA) Climate and Energy (mission C) using Chemical Key Technologies. CONNECT focuses on process development/chemical engineering. We will collaborate with SPRONG-groups centred on chemistry and other non-SPRONG initiatives. The CONNECT-consortium will generate a Learning Community of the core group (universities of applied science and knowledge centres), companies (high-tech equipment, engineering and chemical end-users), secondary vocational training, universities, sustainability institutes and regional network organizations that will facilitate research, demand articulation and professionalization of students and professionals. In the CONNECT-trajectory, four field labs will be integrated and strengthened with necessary coordination, organisation, expertise and equipment to facilitate chemical innovations to bridge the innovation valley-of-death between feasibility studies and high technology-readiness-level pilot plant infrastructure. The CONNECT-field labs will combine experimental and theoretical approaches to generate high-quality data that can be used for modelling and predict the impact of flow chemical technologies. The CONNECT-trajectory will optimize research quality systems (e.g. PDCA, data management, impact). At the end of the CONNECT-trajectory, the SPRONG-group will have become the process development/chemical engineering SPRONG-group in the Netherlands. We can then meaningfully contribute to further integrate the (inter)national research ecosystem to valorise innovative chemical processes for the KIA Climate and Energy.
Uit onderzoek blijkt dat fundamentele motorische vaardigheden een belangrijke rol spelen bij een duurzame actieve leefstijl. De prevalentie van kinderen met Developmental Coordination Disorder (DCD) wordt geschat op 5-6%, maar het aantal kinderen dat achterstanden vertoont op motorische vaardigheden is groter. Docenten bewegingsonderwijs komen dagelijks in aanraking met deze kinderen en vormen dan ook een belangrijke schakel in het proces om deze problematiek bij kinderen op dit gebied te signaleren en hierop te interveniëren. Uit (recent) onderzoek blijkt dat impliciet leren een effectieve strategie is om motorische vaardigheden te leren, vooral ook bij kinderen met motorische problematiek. Impliciet leren vraagt minder van cognitieve functies (zoals het werkgeheugen), welke vaak minder ontwikkeld zijn bij deze doelgroep. Echter, in de praktijk blijken docenten bewegingsonderwijs voornamelijk gebruik te maken van expliciete instructies. Dit promotieonderzoek richt zich effecten van impliciet leren, de rol van het cognitieve functies bij dit proces en op de ontwikkeling van een interventie voor de les bewegingsonderwijs ((speciaal) basisonderwijs) waarbij impliciete leer strategieën worden toegepast.
