The transition towards a sustainable and healthy food system is one of the major sustainability challenges of today, next to the energy transition and the transition from a linear to circular economy. This paper provides a timely and evidence-based contribution to better understand the complex processes of institutional change and transformative social-ecological innovation that takes place in the food transition, through a case study of an open innovation and food transition network in The Netherlands, the South-Holland Food Family (Zuid-Hollandse Voedselfamilie). This network is supported by the provincial government and many partners, with the ambition to realize more sustainable agricultural and food chains, offering healthy, sustainable and affordable food for everyone in the Province of South-Holland in five to ten years from now. This ambition cannot be achieved through optimising the current food system. A transition is needed – a fundamental change of the food system’s structure, culture and practice. The Province has adopted a transition approach in its 2016 Innovation Agenda for Sustainable Agriculture. This paper provides an institutional analysis of how the transition approach has been established and developed in practice. Our main research question is what interventions and actions have shaped the transition approach and how does the dynamic interplay between actors and institutional structures influence institutional change, by analysing a series of closely related action situations and their context, looking at 'structure' and 'agency', and at the output-outcomes-impact of these action situations. For this purpose, we use the Transformative Social-Ecological Innovation (TSEI)-framework to study the dynamic interplay between actors and institutional structures influencing institutional change. The example of TSEI-framework application in this paper shows when and how local agents change the institutional context itself, which provides relevant insights on institutional work and the mutually constitutive nature of structure and agency. Above institutional analysis also shows the pivotal role of a number of actors, such as network facilitators and provincial minister, and their capability and skills to combine formal and informal institutional environments and logics and mobilize resources, thereby legitimizing and supporting the change effort. The results are indicative of the importance of institutional structures as both facilitating (i.e., the province’s policies) and limiting (e.g. land ownership) transition dynamics.
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Ascertaining the contribution of research is complex; this is not a conclusion but a starting point for the preliminary thoughts in this inaugural lecture. The guiding question is: where does this complexity lie? The dominant answer that has taken root in many practices flattens this complexity into a line. As a handle, or a rule of thumb. The concept of continuous effects serves as a crowbar to break open this one-dimensionality, not least to do more justice to practice-based research at universities of applied sciences. This allows for a different way of looking at how practice-based research contributes to change: from continuous effects ‘stretching each moment to the fullest’ and indicators of the effects of direct interactions, to multiple action perspectives beyond merely generating new knowledge to bring about change.
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Introduction Student success is positively linked to engagement, but negatively linked to emotional exhaustion. Though both constructs have been conceptualized as opposites previously, we hypothesize that students can demonstrate high or low engagement and emotional exhaustion simultaneously. We used quantitative and qualitative data to identify the existence of four student profiles based on engagement and exhaustion scores. Furthermore, we studied how profiles associate to study behaviour, wellbeing and academic achievement, and what risks, protective factors and support requirements students and teachers identify for these profiles. Methods The Student Wellbeing Monitor 2021, developed by Inholland University of Applied Sciences, was used to identify profiles using quadrant analyses based on high and low levels of engagement and emotional exhaustion (n= 1460). Correlation analyses assessed profile specific differences on study behaviours, academic delay, and wellbeing. Semi-structured interviews with students and teachers are currently in progress to further explore the profiles, to identify early signals, and to inspect support requirements. Results The quadrant analysis revealed four profiles: low engagement and low exhaustion (energised-disengaged; 9%), high engagement and low exhaustion (energised-engaged; 15%), low engagement and high exhaustion (exhausted-disengaged; 48%), and high engagement and high exhaustion (exhausted-engaged; 29%). Overall, engaged students demonstrated more active study behaviours and more social connections and interactions with fellow students and teachers. The exhausted students scored higher on depressive symptoms and stress. The exhausted-engaged students reported the highest levels of performance pressure, while the energised-disengaged students had the lowest levels of performance pressure. So far, students and teachers recognise the profiles and have suggested several support recommendations for each profile. Discussion The results show that students can be engaged but at the same time are exhausting themselves. A person-oriented mixed-methods approach helps students and teachers gain awareness of the diversity and needs of students, and improve wellbeing and student success.
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