40 Jahre Neuland des Denkens

Vor 40 Jahren erschien Frederic Vesters Hauptwerk „Neuland des Denkens“. Der Beitrag beleuchtet die wesentlichen Themen dieses programmatischen Buches im Hinblick auf Vesters Biokybernetik und deren Anwendung auf zahlreiche aktuelle Fragen in der Nachhaltigkeits-Debatte, z.B. Klimawandel-Problematik und Energiewende

Bioökonomie aus Perspektive der Biokybernetik

Zur Bewertung von Strategien und Handlungsoptionen im Themenfeld Bioökonomie ist es naheliegend, eine naturinspirierte Bewertungsmethodik zu verwenden. Dieser Beitrag stellt daher den biokybernetischen Ansatz nach Frederic Vester als Methodik in den Mittelpunkt, um nachhaltigkeitskonforme Passungskriterien für bioökonomische Innovationen und Konzepte zu beschreiben sowie insbesondere die systemischen Wechselwirkungen und damit die Komplexität dieses Themenfeldes zu erfassen. So wird auch die Ambivalenz von Innovationen im Themen- und Handlungsfeld Bioökonomie thematisiert. Letztlich können mit diesem Ansatz die prinzipiellen Voraussetzungen für nachhaltigkeitsorientierte bioökonomische Innovationen in Richtung Erneuerbarkeit, Zirkularität, Effizienz, ökologische Verträglichkeit und Klimaneutralität geklärt werden

Systemökologie resilienter Ernährung von Ballungsgebieten: Bedarf und Potenzial einer nachhaltigen Landwirtschaft

Für die Transformation zu einem resilienten Ernährungssystem ist eine Synthese von Systemtheorie und Humanökologie hilfreich, damit unerwünschte Nebenwirkungen erkannt und vermieden werden können. Bei ihrer Jahrestagung diskutierte die DGH über das weitere Vorgehen mit Blick auf die Differenz und Komplementarität von Stadt und Land

Identifying systemic levers for transformation: : collaborative holistic system analysis by interdisciplinary scientists to support the climate justice movements to meet the 1.5° target

Background The impact of climate change and loss of biodiversity are threatening the resources of human existence and peace. Time is short for reaching the internationally agreed climate and sustainability goals by 2030. Civil societies, politicians, industries, and institutions search for policies and actions to facilitate, enable and realize transformations within all sectors: agriculture, forestry, energy and water supply, climate mitigation, buildings, transport, mobility, health and education. The transformation also concerns individual changes of behaviour. The main challenges lie in the complexity and interconnectivity of our system. However, many actions still follow a linear way of thinking. Growth-focussed pathways, goals and strategies prevent integrated and futureproof ecological, economic and social transformation. The climate justice movement “Fridays for Future” (FFF) has initiated first new ways of thinking and acting. Beyond scientific research the “Scientists for Future” (S4F) support the climate justice movement FFF on strategic communication and how to deal with opponents of an effective climate policy. Within this context, it was evident that a common understanding of the interdependencies, of levers and enhancements of transformation processes is essential. Methodology The steps for this holistic system analysis have their origin in the methodology of the “Sensitivity Model” by Prof. Frederic Vester, and in approaches by Donella Meadows and other pioneers in systems thinking and sustainability. In the recursive work- and learning process a set of 19 qualitative and quantitative variables was developed, which was later expanded to a total of 21 variables. The guiding question “How can Scientists for Future S4F support the climate justice movement (especially Fridays for Future) through scientific communication and other actions in such a way that sufficient decisions in all sectors are made so quickly that the "Paris climate targets" can still be achieved?” The project focused on a national level in Germany, while also considering the integration into European and international contexts. During the analysis, it became clear that the pursuit of sufficient climate protection is closely linked to achieving the 17 sustainability goals (SDGs). Validation, Conclusion, further Action The interpretation of the factors of influence, their impacts, and the analysis of the identified “control levers” and feedback cycles led to the conclusion that the effectiveness of public demonstrations or statements can only influence decisions on climate protection over a "long" distance, i. e. indirectly. However, the influence of decision-makers of the economy on political decision-making is much stronger than the influence of individual scientists or the entire movement. That influence mainly occurs through public "communication" (fast) and "education" (slow). It is necessary to influence "decision-makers in economy" and national regulatory frameworks in such a way that substantial effects on achieving the Paris targets can arise. The analysis showed the usefulness of systems thinking in order to establish an integrated view and action plan. The results will be communicated in regional S4F groups in order to establish a “Common Understanding” of the system and its relevant levers and control loops to support transformation towards sustainability and viability

Co-creating solutions to complex urban problems with collaborative systems modelling - insights from a workshop on health co-benefits of urban green spaces in Guangzhou

Increasingly complex challenges and systemic risks in urban development and planning require systems methods and solutions. This policy brief summarizes the experience of a collaborative systems modelling workshop on the health co-benefits of urban green spaces in Guangzhou, China. The workshop shows that collaborative systems modelling has the potential to surface new, integrated, and sustainable solutions for complex problems, such as urban development, spatial planning, governance, and climate change. For the collaborative systems modelling approach to succeed, it is critical to have the participation of diverse interdisciplinary stakeholders for the co-creation of solutions. Further, while noting that collective learning and capacity building take time, we recommend policymakers apply this method where and when possible, for example in urban planning projects, to address complex problems in cities while at the same time ensuring the representation of the needs and visions of stakeholders in the modelling process. Collaborative systems modelling can be considered a contribution to intelligent urban systems governance.info:eu-repo/semantics/publishedVersio