Regional sustainability networks in the Netherlands are rooted in regionalculture and have an emphasis on social learning and effective collaboration between multiple actors. The national ‘Duurzaam Door’ (Moving Forward Sustainably) Policy Programme regards these networks as generative governance arrangements where new knowledge, actions and relations can co-evolve together with new insights in governance and learning within sustainability transitions. In order to understand the dynamics of the learning in these networks we have monitored emergent properties of social learning between 2014 and 2016. Our focus is particularly on the interrelated role of trust, commitment, reframing and reflexivity. Our aim is to better understand the role and the dynamics of these emergent properties and to see which actors and roles can foster the effectiveness of social learning in regional transitions towards more sustainable ways of living. We used a retrospective analysis with Reflexive Monitoring in Action (RMA), which we combined with the Most Significant Change approach. We found that reflexivity in particularis a critical property at moments that can make or break the process.
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Zowel bij ondernemers als onder kunstenaars zien we steeds meer initiatieven gericht op de ontwikkeling van een ‘volhoudbare’ economie. Partijen uit deze domeinen zoeken manieren om een generatieve economie te bewerkstelligen die – anders dan een extractieve economie (‘de economie van het leegtrekken’) – sociaal rechtvaardig en ecologisch duurzaam wil zijn. Omdat kunstenaars en ondernemers in hun zoektocht naar innovaties-met-impact verschillende kwaliteiten inbrengen, wordt veel verwacht van samenwerking tussen de twee sectoren. In de praktijk echter is synergie eerder regel dan uitzondering. De grote verschillen tussen de twee ‘innovatiesferen’ leiden vooralsnog tot meer gedoe dan complementariteit. In het vraagarticulatietraject dat ten grondslag ligt aan SUSTAIN kwam naar voren dat hier een belangrijke rol is weggelegd voor zogeheten innovatiebrokers: derde partijen die werelden van ondernemerschap en kunst op duurzame wijze met elkaar weten te verbinden. In SUSTAIN willen we de body of knowledge en het handelingsinstrumentarium van deze innovatiebrokers verrijken. Door met praktijkgericht onderzoek juist in deze beroepsgroep te investeren, hopen we een hefboomeffect richting de volhoudbare economie te creëren: we dragen bij aan de effectiviteit van de samenwerking tussen de innovatiesferen kunst en ondernemerschap. Onze hoofdvraag luidt: Wat kunnen innovatiebrokers op het snijvlak van kunst en ondernemen in de verschillende fases van het innovatietraject leren en doen om de synergie van de samenwerking tussen ondernemers en kunstenaars te vergroten en zo een duurzame bijdrage te leveren aan de transitie richting een volhoudbare economie? Gedurende het onderzoek ontwikkelen we een gefundeerd Brokers Kenniscanvas dat beschrijft welke vraagstukken zich aandienen in samenwerkingsverbanden tussen kunstenaars en ondernemers en hoe de innovatiebrokers die vraagstukken hanteerbaar en productief kunnen maken. We richten ons welbewust op het ‘gedoe’ in de samenwerking en ontwikkelen vóór en mét de innovatiebrokers kennis over hoe vandaaruit synergie te realiseren.
The scientific challenge is about unraveling the secret of Brazilian and Dutch soccer by capturing successful elements of game play of both countries,, combining expertise from data science, computer science and sport science. Suggested features from literature, as well as several novel ones, will be considered and filtered on how they capture success in soccer. A manageable set of features will then be obtained from various available Dutch datasets (focusing on successful play). Subsequently, the same features will be used to compare playing styles between both countries. Features of game play will be approached from two different angles. The first angle (spearheaded by the Brazilian computer science partner) concerns features that capture the dynamics of game play and characterize aspects of formation on the pitch. The second angle (lead by the Dutch data science partner) will focus on how an attack is built up, and how key events (shots on goal, transitions from defenders to midfielders, etc.) can help to characterize this. For the comparison between countries data will be collected in four different age categories in Brazil and the Netherlands during official games, in order to compare (the development of) game play between both countries. Data will be collected by means of the Local Position Measurement System, for reasons of accuracy and consistency. The applied science part of this proposal is focusing on bridging the gap between fundamental science and soccer practice, i.e. coaches, trainers, clubs and federations. The outcomes of the fundamental part will be implemented in a coach-cockpit, a software application which trainers and coaches can use to (1) decide upon their strategy before a game, (2) analyze player- and team behaviour during a game enabling to adjust the strategy accordingly, and (3) choose and/or design training forms to improve player- and team behaviour.
The scientific challenge is about unraveling the secret of Brazilian and Dutch soccer by capturing successful elements of game play of both countries,, combining expertise from data science, computer science and sport science. Suggested features from literature, as well as several novel ones, will be considered and filtered on how they capture success in soccer. A manageable set of features will then be obtained from various available Dutch datasets (focusing on successful play). Subsequently, the same features will be used to compare playing styles between both countries. Features of game play will be approached from two different angles. The first angle (spearheaded by the Brazilian computer science partner) concerns features that capture the dynamics of game play and characterize aspects of formation on the pitch. The second angle (lead by the Dutch data science partner) will focus on how an attack is built up, and how key events (shots on goal, transitions from defenders to midfielders, etc.) can help to characterize this. For the comparison between countries data will be collected in four different age categories in Brazil and the Netherlands during official games, in order to compare (the development of) game play between both countries. Data will be collected by means of the Local Position Measurement System, for reasons of accuracy and consistency. The applied science part of this proposal is focusing on bridging the gap between fundamental science and soccer practice, i.e. coaches, trainers, clubs and federations. The outcomes of the fundamental part will be implemented in a coach-cockpit, a software application which trainers and coaches can use to (1) decide upon their strategy before a game, (2) analyze player- and team behaviour during a game enabling to adjust the strategy accordingly, and (3) choose and/or design training forms to improve player- and team behaviour.
