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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Introduction: People on the autism spectrum often struggle to transition smoothly between occupations in daily life. Objective: This qualitative inquiry aimed to understand the human and non-human factors that influence occupational transitions from the perspectives of adults on the autism spectrum. Method: Using a constructivist grounded theory design, this study purposively gathered data from eight adults on the autism spectrum who shared their viewpoints via semi-structured interviews and self-produced written texts. Framed by the Cultural Historical Activity Theory, an iterative process of constant comparative analysis was employed, yielding six categories that constituted the assembly of a working theory on occupational transitions among adults on the autism spectrum. Results: Drawn from eight participants, the six categories were: 1) getting ready, 2) the attributes of the occupation, 3) the others, 4) strategies of the moment, 5) cumulative stress, and 6) possible ends of the process. Conclusion: Our findings revealed a nuanced understanding on occupational transitions for adults with autism. First, materiality (non-human entities) serves various purposes in occupational transitions, implying that in some cases, intangible materials (tacit knowledge) would be enough to initiate, aid, or terminate occupational transitions. Second, doing transitions together through the optimization of social support and resources can make occupational transitions more meaningful for adults in the autism spectrum. It is our ambition that these propositions be tested and emphasized in occupational therapy, healthcare, and social care practices.
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This study evaluates the effectiveness of the European Union's Corporate Sustainability Reporting Directive (CSRD) in quantitatively measuring the transition of companies to a circular economy. First, using the most recent literature review on circularity metrics, a complete overview of the currently available circularity metrics is developed. Subsequently, it is determined which circularity metrics can be generated with the available quantitative datapoints of CSRD. The metrics that can be generated were analyzed on their ability to cover all circular strategies, to represent different Product-as-a-Service systems and to acknowledge the key role of Critical Raw Materials in a circular economy. The study finds that, with data disclosed under CSRD, metrics can be generated to cover all circular strategies. However, gaps remain in representing pay-per-use and pay-perperformance systems and the use of Critical Raw Materials. Recommendations are to include ‘Product utilization’ and ‘Mass of Critical Raw Materials used’ in the data disclosed under CSRD and to have an independent institution report data to enable benchmarking of performances. Finally, this study concludes with an overview of the metrics which enable to measure circular transitions using data disclosed by CSRD
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Designing cities that are socially sustainable has been a significant challenge until today. Lately, European Commission’s research agenda of Industy 5.0 has prioritised a sustainable, human-centric and resilient development over merely pursuing efficiency and productivity in societal transitions. The focus has been on searching for sustainable solutions to societal challenges, engaging part of the design industry. In architecture and urban design, whose common goal is to create a condition for human life, much effort was put into elevating the engineering process of physical space, making it more efficient. However, the natural process of social evolution has not been given priority in urban and architectural research on sustainable design. STEPS stems from the common interest of the project partners in accessible, diverse, and progressive public spaces, which is vital to socially sustainable urban development. The primary challenge lies in how to synthesise the standardised sustainable design techniques with unique social values of public space, propelling a transition from technical sustainability to social sustainability. Although a large number of social-oriented studies in urban design have been published in the academic domain, principles and guidelines that can be applied to practice are large missing. How can we generate operative principles guiding public space analysis and design to explore and achieve the social condition of sustainability, developing transferable ways of utilising research knowledge in design? STEPS will develop a design catalogue with operative principles guiding public space analysis and design. This will help designers apply cross-domain knowledge of social sustainability in practice.
The transition towards an economy of wellbeing is complex, systemic, dynamic and uncertain. Individuals and organizations struggle to connect with and embrace their changing context. They need to create a mindset for the emergence of a culture of economic well-being. This requires a paradigm shift in the way reality is constructed. This emergence begins with the mindset of each individual, starting bottom-up. A mindset of economic well-being is built using agency, freedom, and responsibility to understand personal values, the multi-identity self, the mental models, and the individual context. A culture is created by waving individual mindsets together and allowing shared values, and new stories for their joint context to emerge. It is from this place of connection with the self and the other, that individuals' intrinsic motivation to act is found to engage in the transitions towards an economy of well-being. This project explores this theoretical framework further. Businesses play a key role in the transition toward an economy of well-being; they are instrumental in generating multiple types of value and redefining growth. They are key in the creation of the resilient world needed to respond to the complex and uncertain of our era. Varta-Valorisatielab, De-Kleine-Aarde, and Het Groene Brein are frontrunner organizations that understand their impact and influence. They are making bold strategic choices to lead their organizations towards an economy of well-being. Unfortunately, they often experience resistance from stakeholders. To address this resistance, the consortium in the proposal seeks to answer the research question: How can individuals who connect with their multi-identity-self, (via personal values, mental models, and personal context) develop a mindset of well-being that enables them to better connect with their stakeholders (the other) and together address the transitional needs of their collective context for the emergence of a culture of the economy of wellbeing?
Deploying robots from indoor to outdoor environments (vise versa) with stable and accurate localization is very important for companies to secure the utilization in industrial applications such as delivering harvested fruits from plantations, deploying/docking, navigating under solar panels, passing through tunnels/underpasses and parking in garages. This is because of the sudden changes in operational conditions such as receiving high/low-quality satellite signals, changing field of view, dealing with lighting conditions and addressing different velocities. We observed these limitations especially in indoor-outdoor transitions after conducting different projects with companies and obtaining inaccurate localization using individual Robotics Operating Systems (ROS2) modules. As there are rare commercial solutions for IO-transitions, AlFusIOn is a ROS2-based framework aims to fuse different sensing and data-interpretation techniques (LiDAR, Camera, IMU, GNSS-RTK, Wheel Odometry, Visual Odometry) to guarantee the redundancy and accuracy of the localization system. Moreover, maps will be integrated to robustify the performance and ensure safety by providing geometrical information about the transitioning structures. Furthermore, deep learning will be utilized to understand the operational conditions by labeling indoor and outdoor areas. This information will be encoded in maps to provide robots with expected operational conditions in advance and beyond the current sensing state. Accordingly, this self-awareness capability will be incorporated into the fusion process to control and switch between the localization techniques to achieve accurate and smooth IO-transitions, e.g., GNSS-RTK will be deactivated during the transition. As an urgent and unique demand to have an accurate and continuous IO-transition towards fully autonomous navigation/transportation, Saxion University and the proposal’s partners are determined to design a commercial and modular industrial-based localization system with robust performance, self-awareness about the localization capabilities and less human interference. Furthermore, AlFusIOn will intensively collaborate with MAPS (a RAAKPRO proposed by HAN University) to achieve accurate localization in outdoor environments.
Centre of Expertise, part of De Haagse Hogeschool
Centre of Expertise, part of Fontys
Lectorate, part of Saxion
