Complexity and creative capacity : reformulating the problem of knowledge transfer in environmental management

The Ningaloo Reef is Australia’s largest fringing coral reef and an iconic tourist destination; however tourism development in Ningaloo has been ad hoc and the area is challenged by human pressure on numerous fronts. In response to these challenges a number of research agencies brought together a range of scientists to study the effects of human interaction on the reef. Moving from research to practice has been understood to depend on the adaptive capacity of the institutions responsible for governing human activities, in this case in the Ningaloo area. Knowledge transfer describes the suite of strategies used to try to bridge the gap between research and management. Knowledge transfer efforts, however, seldom have the desired impact of seeing research applied to decision-making. The ubiquity of knowledge transfer difficulties across disciplines suggests a common root to the problem, based in our shared cultural assumptions. This study pairs a multidisciplinary theoretical investigation with action research to shed light on why knowledge transfer efforts so often fall short in terms of seeing research applied to practice. Recent environmental management perspectives on knowledge transfer illustrate the shift towards stakeholder participation as a means of improving knowledge transfer success. As such, the action research study involved the researcher embedding herself in the Ningaloo community for 18 months, adopting the role of a knowledge broker and engaging and collaborating with modelling researchers and local stakeholders on knowledge transfer efforts. However, despite intensive stakeholder engagement, evaluation interviews at the end of the process indicated that although the knowledge transfer process had the effect of catalysing relationships between stakeholder groups in the region, and between regional stakeholders and scientists, it appeared to have relatively little effect on the representational knowledge of local stakeholders or the actual application of research in practice. This led to the question of whether knowledge transfer is itself is part of the research uptake problem, as per the principles of problem formulation, which specify that resolving seemingly intractable problems requires examining the assumptions that underpin our thinking about the problem situation. On this basis, the theoretical component of this study explored the Newtonian assumptions that inform our understanding of knowledge transfer. An alternative complexity-based ontology is proposed, unifying the metaphysics of materialism and idealism, based on a synthesis of process philosophy, mathematical logic, quantum theory, general systems theory and the complexity sciences. The phenomena of cognition, learning, knowledge and organising are compared in relation to how they’ve been understood within the Newtonian paradigm, and how they are now being explained from the perspective of a complexity-based paradigm. By reframing the action research results from a complexity perspective, the Ningaloo knowledge transfer process does not constitute a failure in terms of enhancing the capacity of the Ningaloo system to make more sustainable decisions. Rather, the increased connectivity between stakeholder groups and scientists can be viewed as more importantly enhancing the creative capacity of Ningaloo’s governance system. It is posited that the research uptake problem should be reformulated from the basis of complexity paradigm, and the notions of knowledge transfer and adaptive capacity reconceptualised accordingly. Instead of devising rational objective arguments for someone else to improve the ‘adaptive capacity’ of human systems, scientists should focus instead on improving their own creative capacity in their local interactions

How does rumination impact cognition? A first mechanistic model.

Rumination is a process of uncontrolled, narrowly-foused neg- ative thinking that is often self-referential, and that is a hall- mark of depression. Despite its importance, little is known about its cognitive mechanisms. Rumination can be thought of as a specific, constrained form of mind-wandering. Here, we introduce a cognitive model of rumination that we devel- oped on the basis of our existing model of mind-wandering. The rumination model implements the hypothesis that rumina- tion is caused by maladaptive habits of thought. These habits of thought are modelled by adjusting the number of memory chunks and their associative structure, which changes the se- quence of memories that are retrieved during mind-wandering, such that during rumination the same set of negative memo- ries is retrieved repeatedly. The implementation of habits of thought was guided by empirical data from an experience sam- pling study in healthy and depressed participants. On the ba- sis of this empirically-derived memory structure, our model naturally predicts the declines in cognitive task performance that are typically observed in depressed patients. This study demonstrates how we can use cognitive models to better un- derstand the cognitive mechanisms underlying rumination and depression

A complex systems approach to education in Switzerland

The insights gained from the study of complex systems in biological, social, and engineered systems enables us not only to observe and understand, but also to actively design systems which will be capable of successfully coping with complex and dynamically changing situations. The methods and mindset required for this approach have been applied to educational systems with their diverse levels of scale and complexity. Based on the general case made by Yaneer Bar-Yam, this paper applies the complex systems approach to the educational system in Switzerland. It confirms that the complex systems approach is valid. Indeed, many recommendations made for the general case have already been implemented in the Swiss education system. To address existing problems and difficulties, further steps are recommended. This paper contributes to the further establishment complex systems approach by shedding light on an area which concerns us all, which is a frequent topic of discussion and dispute among politicians and the public, where billions of dollars have been spent without achieving the desired results, and where it is difficult to directly derive consequences from actions taken. The analysis of the education system's different levels, their complexity and scale will clarify how such a dynamic system should be approached, and how it can be guided towards the desired performance