At present, leading international agencies, such as the United Nations Environmental Programme, are largely focused on what they claim to be ‘win-win’ scenarios of ‘sustainable development’ rhetoric. These combine social, economic and environmental objectives. However, as noted by the ‘Scientists’ Warning to Humanity’, environmental integrity is the essential precondition for the healthy functioning of social and economic systems, and thus environmental protection needs to be prioritized in policy and practice. Ecological sustainability cannot be reached without realizing that population growth and economic growth, with attendant increased rates of depletion of natural resources, pollution, and general environmental degradation, are the root causes of unsustainability. This article argues that to strategically address ecological unsustainability, the social, economic and political barriers to addressing the current economic model and population growth need to be overcome. Strategic solutions proposed to the current neoliberal economy are generic – namely, degrowth, a steady-state economy, and a ‘circular economy’. Solutions to demographic issues must be sensitive to the countries' cultural, social, political and economic factors to be effective as fertility differs from country to country, and culture to culture. As discussed here, Mediterranean countries have the lowest fertility in the world, while many countries in Africa, and some in Asia, South America have stable but consistently high birthrates. This is discussed using three case studies - Tanzania, Italy, and Cambodia, focusing on the "best case" policy practice that offers more realistic hope for successful sustainability. https://doi.org/10.1007/s41207-019-0139-4 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Background and purposeWithin Northwest European Welfare states, there is a growing need for all social work professions to substantiate their work with research. The earliest notions of social street work origins from the end of the18th century by the British Salavation Army (Mikkonen et al., 2007). In the Netherlands it’s introduced from the United States (1960s), as a response to individuals and groups hanging around. Social street work is a low threshold and professional form of being there, performed in surroundings and situations where the target group is. It focusses on contact-making and staying in contact with individuals and marginalised groups, who otherwise are hard to reach, have lost their connection with society and have multiple problems. It’s a high appreciated practice, but it lacks a method that is substantiated with research (Morse et all, 1996; Kirkpatrick, 2000). In this paper we will present conceptual model of the method of social street work, that’s substantiated with experiences from professionals and the target group.MethodThis paper is based on a combination of literature review, document analysis, Delphi Method and an online questionnaire among the target group. The research is conducted at Streetcornerwork in Amsterdam. Streetcornerwork is the only organization in the Netherlands that provides social street work, since WWII. They employ 175 professional social street workers and has 43 years of experience in social street work.First, a theoretical model of social street work is developed bases on literature review, analyses of documents of the establishment (1970-1990)of social street work (Netherlands) and different attempts to describe the method (1991-2017). Second, the explanation model is strengthened with data from the online questionnaire among 1600 clients of Streetcornerwork. Third, the Delphi Method is used to validate the model with the tacit knowledge of 24 professionals.ResultsThe result is a conceptual model of the method of social street work that is substantiated with experiences from professionals and the target group. Characteristic is that it’s an open approach in contact with the target group which is highly dependent on context and has unpredictable character (Metz, 2016 , Andersson, 2011).The method social street work consists of 14 methodic principles,. Social street work contributesto the development of self-insight and general life skills, the restoration of the social network and the improvement of living conditions and the well-being of the target group. We also gain insight in the experienced contribution of social street work from persons in the environment of the target group (client system, neighborhood and institutional environment). This experienced contribution of social street work at theenvironment is divided into the direct contribution and the implicated contribution through the target group.Conclusions and implicationsThis conceptual model of the method of social street work contributes to a body of knowledge. We made tacit knowledge explicit and we can legitimize the profession of social street work. Because research is done in close collaboration with street workers, it also contributes to the development of their work.
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Recently several attempts were undertaken to unite the field of metaphor studies, trying to reconcile the conceptual/cognition and linguistic/discourse approaches to metaphor (Hampe, 2017b). The dynamic view of metaphor espoused by amongst others Gibbs (2017a) as a way to unify the field of metaphor studies is said to converge on findings and theoretical predictions found in cognition and discourse approaches. The author argues this focus on dynamical models to explain the multi-scale socio-cognitive aspects of metaphor as an emergent phenomenon is not robust enough. Complexity and dynamical systems are merely a modelling technique to deploy theory for empirical testing of hypotheses; a dynamic view of metaphor needs a coherent background theory to base its dynamic modelling of metaphor in action on (Chemero, 2009). I argue that it can be successfully based on the ecological-enactive framework available within the modern paradigm of 4E cognitive science. This framework makes possible explanation of both 'lower' cognition and 'higher' cognition emerging in the interaction of an organism with its environment. In addition, I sketch how recent theoretical insights from ecological-enactivism (Baggs and Chemero, 2018) concerning Gibson's notion of environment apply to the attempted unification of the field of metaphor studies. I close by suggesting how an understanding of metaphor as an ecological affordance of the socio-cultural environment can provide a rich basis for empirical hypotheses within a dynamical science of metaphor.
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Collaborative networks for sustainability are emerging rapidly to address urgent societal challenges. By bringing together organizations with different knowledge bases, resources and capabilities, collaborative networks enhance information exchange, knowledge sharing and learning opportunities to address these complex problems that cannot be solved by organizations individually. Nowhere is this more apparent than in the apparel sector, where examples of collaborative networks for sustainability are plenty, for example Sustainable Apparel Coalition, Zero Discharge Hazardous Chemicals, and the Fair Wear Foundation. Companies like C&A and H&M but also smaller players join these networks to take their social responsibility. Collaborative networks are unlike traditional forms of organizations; they are loosely structured collectives of different, often competing organizations, with dynamic membership and usually lack legal status. However, they do not emerge or organize on their own; they need network orchestrators who manage the network in terms of activities and participants. But network orchestrators face many challenges. They have to balance the interests of diverse companies and deal with tensions that often arise between them, like sharing their innovative knowledge. Orchestrators also have to “sell” the value of the network to potential new participants, who make decisions about which networks to join based on the benefits they expect to get from participating. Network orchestrators often do not know the best way to maintain engagement, commitment and enthusiasm or how to ensure knowledge and resource sharing, especially when competitors are involved. Furthermore, collaborative networks receive funding from grants or subsidies, creating financial uncertainty about its continuity. Raising financing from the private sector is difficult and network orchestrators compete more and more for resources. When networks dissolve or dysfunction (due to a lack of value creation and capture for participants, a lack of financing or a non-functioning business model), the collective value that has been created and accrued over time may be lost. This is problematic given that industrial transformations towards sustainability take many years and durable organizational forms are required to ensure ongoing support for this change. Network orchestration is a new profession. There are no guidelines, handbooks or good practices for how to perform this role, nor is there professional education or a professional association that represents network orchestrators. This is urgently needed as network orchestrators struggle with their role in governing networks so that they create and capture value for participants and ultimately ensure better network performance and survival. This project aims to foster the professionalization of the network orchestrator role by: (a) generating knowledge, developing and testing collaborative network governance models, facilitation tools and collaborative business modeling tools to enable network orchestrators to improve the performance of collaborative networks in terms of collective value creation (network level) and private value capture (network participant level) (b) organizing platform activities for network orchestrators to exchange ideas, best practices and learn from each other, thereby facilitating the formation of a professional identity, standards and community of network orchestrators.
The Dutch main water systems face pressing environmental, economic and societal challenges due to climatic changes and increased human pressure. There is a growing awareness that nature-based solutions (NBS) provide cost-effective solutions that simultaneously provide environmental, social and economic benefits and help building resilience. In spite of being carefully designed and tested, many projects tend to fail along the way or never get implemented in the first place, wasting resources and undermining trust and confidence of practitioners in NBS. Why do so many projects lose momentum even after a proof of concept is delivered? Usually, failure can be attributed to a combination of eroding political will, societal opposition and economic uncertainties. While ecological and geological processes are often well understood, there is almost no understanding around societal and economic processes related to NBS. Therefore, there is an urgent need to carefully evaluate the societal, economic, and ecological impacts and to identify design principles fostering societal support and economic viability of NBS. We address these critical knowledge gaps in this research proposal, using the largest river restoration project of the Netherlands, the Border Meuse (Grensmaas), as a Living Lab. With a transdisciplinary consortium, stakeholders have a key role a recipient and provider of information, where the broader public is involved through citizen science. Our research is scientifically innovative by using mixed methods, combining novel qualitative methods (e.g. continuous participatory narrative inquiry) and quantitative methods (e.g. economic choice experiments to elicit tradeoffs and risk preferences, agent-based modeling). The ultimate aim is to create an integral learning environment (workbench) as a decision support tool for NBS. The workbench gathers data, prepares and verifies data sets, to help stakeholders (companies, government agencies, NGOs) to quantify impacts and visualize tradeoffs of decisions regarding NBS.
English: This living lab aims to support the creation, development and implementation of next generation concepts for sustainable healthcare logistics, with special attention for last mile solutions. Dutch healthcare providers are on the verge of a transition towards (more) sustainable business models, spurred by e.g., increasing healthcare costs, ongoing budget cuts, tight labor market conditions and increasing ecological awareness. Consequently, healthcare providers need to improve and innovate their business model and underlying logistics concept(s). Simultaneously, many cities are struggling with congestion in traffic, air quality and liveability in general. This calls for Last Mile Logistics (LML) concepts that can address challenges like effective and efficient resource planning, scheduling and utilization and, particularly, sustainability goals. LML can reduce environmental and social impact by decreasing emissions, congestion and pollution through effectively consolidating in-flows of goods and providing innovative solutions for care, wellbeing and related services. The research and initiatives in the living lab will address the following challenges: reducing the ecological footprint, reducing (healthcare-related) costs, improving service quality, decreasing loneliness of frail citizens and improving the livability of urban areas (reducing congestion and emissions). Given the scarcity and fragmentation of knowledge on healthcare logistics in organizations the living lab will also act as a learning community for (future) healthcare- and logistics professionals, thereby supporting the development of human capital. By working closely with related stakeholders and using a transdisciplinary research approach it is ensured that the developed knowledge and solutions deliver a contribution to societal challenges and have sound business potential.
