This open access book states that the endemic societal faultlines of our times are deeply intertwined and that they confront us with challenges affecting the security and sustainability of our societies. It states that new ways of inhabiting and cultivating our planet are needed to keep it healthy for future generations. This requires a fundamental shift from the current anthropocentric and economic growth-oriented social contract to a more ecocentric and regenerative natural social contract. The author posits that in a natural social contract, society cannot rely on the market or state alone for solutions to grand societal challenges, nor leave them to individual responsibility. Rather, these problems need to be solved through transformative social-ecological innovation (TSEI), which involves systemic changes that affect sustainability, health and justice. The TSEI framework presented in this book helps to diagnose and advance innovation and change across sectors and disciplines, and at different levels of governance. It identifies intervention points and helps formulate sustainable solutions for policymakers, administrators, concerned citizens and professionals in moving towards a more just and equitable society.
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Climate change adaptation requires understanding of complex social ecological systems (SESs). One source of uncertainty in complex SESs is ambiguity, defined as the range and variety of existing perceptions in and of an SES, which are considered equally valid, resulting in a lack of a unique or single system understanding. Current modelling practices that acknowledge the presence of ambiguity in SESs focus on finding consensus with stakeholders; however, advanced methods for explicitly representing and aggregating ambiguity in SESs are underdeveloped. Moreover, understanding the influences of ambiguity on SES representation is limited. This paper demonstrates the presence and range of ambiguities in endogenous and exogenous system drivers and internal relationships based on individual fuzzy cognitive maps derived from stakeholder perceptions of climate change adaptation in Kenya and introduces an ambiguity based modelling process. Our results indicate that acknowledging ambiguity fundamentally changes SES representation and more advanced methods are required.
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In this article we focus upon a division between generalized schools of philosophical and ethical thought about culture and conservation. There is an ongoing debate playing out over conservation between those who believe conservation threatens community livelihoods and traditional practices, and those who believe conservation is essential to protect nonhuman species from the impact of human development and population growth. We argue for reconciliation between these schools of thought and a cooperative push toward the cultivation of an environmentally-focused perspective that embraces not only social and economic justice but also concern for non-human species. Our goal is to underline the ethics and tangible benefits that may result from combining the cultural data and knowledge of the social sciences with understanding of environmental science and conservation. We highlight instances in which social scientists overlook their own anthropocentric bias in relationship to ecological justice, or justice for all species, in favor of exclusive social justice among people. We focus on the polemical stances of this debate in order to emphasize the importance of a middle road of cooperation that acknowledges the rights of human and nonhuman species, alike. In conclusion, we present an alternative set of ethics and research activities for social scientists concerned with conservation and offer ideas on how to reconcile the conflicting interests of people and the environment. https://doi.org/10.1016/j.biocon.2015.01.030 https://www.linkedin.com/in/helenkopnina/
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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.
Restoring rivers with an integrated approach that combines water safety, nature development and gravel mining remains a challenge. Also for the Grensmaas, the most southern trajectory of the Dutch main river Maas, that crosses the border with Belgium in the south of Limburg. The first plans (“Plan Ooievaar”) were already developed in the 1980s and were highly innovative and controversial, as they were based on the idea of using nature-based solutions combined with social-economic development. Severe floodings in 1993 and 1995 came as a shock and accelerated the process to implement the associated measures. To address the multifunctionality of the river, the Grensmaas consortium was set up by public and private parties (the largest public-private partnership ever formed in the Netherlands) to have an effective, scalable and socially accepted project. However, despite the shared long term vision and the further development of plans during the process it was hard to satisfy all the goals in the long run. While stakeholders agreed on the long-term goal, the path towards that goal remains disputed and depends on the perceived status quo and urgency of the problem. Moreover, internal and external pressures and disturbances like climate change or the economic crisis influenced perception and economic conditions of stakeholders differently. In this research we will identify relevant system-processes connected to the implementation of nature-based solutions through the lens of social-ecological resilience. This knowledge will be used to co-create management plans that effectively improve the long-term resilience of the Dutch main water systems.
A major challenge in the textile sector is achieving true circularity while preventing fraud, including false sustainability claims and material mislabelling. The complexity of supply chains and outdated certification systems have resulted in a lack of accountability and transparency. This project addresses these issues by developing and implementing Digital Product Passports, integrated with digital trust mechanisms as verifiable credentials, to create a transparent, responsible, and accountable textile supply chain. The project traces the journey of a corporate fashion t-shirt from cotton sourcing in India to production and distribution in the Netherlands, ensuring full transparency and traceability. Its goal is to drive a shift towards a circular economy by fostering collaboration across the supply chain and empowering stakeholders, particularly Tiers 3 and 4 in the Global South. Schijvens Corporate Fashion leads the effort with regenerative cotton sourcing through Raddis®Cotton, utilising Aware™’s technology solution. Adopting a ‘Fibre-Forward’ approach, the consortium ensures traceability by integrating data from raw material sourcing to end-user. This approach benefits all stakeholders, from farmers to garment producers, by providing verifiable information on fibre origins, social conditions, and ecological impacts. By tracking each fibre and collecting direct data, the project removes the opacity that can undermine sustainability claims. The project enhances accountability and sustainability compliance by utilising decentralised technologies for product verification. Integrating digital identity wallets for individuals and organisations, secured with verifiable credentials, enhances trust and accountability, fostering circular economy practices. Rather than seeing DPPs as the end goal, the project views them as catalysts for systemic change. It prioritises continuous improvement, collaboration, and shared benefits, aiming to establish a regenerative circular economy. Through a practical toolkit, the project will help organisations and policymakers navigate DPP adoption, strengthening transparency and creating a scalable, inclusive system for supply chains across the Global South and -North.