Collaborative problem solving has increasingly become important in the face of the complexities in the management of resources, including protected areas. The strategy undertaken by Girringun Aboriginal Corporation in north tropical Queensland, Australia, for developing co-management demonstrates the potential for a problem solving approach involving sequential initiatives, as an alternative to the more familiar negotiated agreements for co-management. Our longitudinal case study focuses on the development of indigenous ranger units as a strategic mechanism for the involvement of traditional owners in managing their country in collaboration with government and other interested parties. This was followed by Australia's first traditional use of marine resources agreement, and development of a multi-jurisdictional, land to sea, indigenous protected area. In using a relationship building approach to develop regional scale co-management, Girringun has been strengthening its capabilities as collaborator and regional service provider, thus, bringing customary decision-making structures into play to 'care for country'. From this evolving process we have identified the key components of a relationship building strategy, 'the pillars of co-management'. This approach includes learning-by-doing, the building of respect and rapport, sorting out responsibilities, practical engagement, and capacity-building.
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http://dx.doi.org/10.1007/s00267-012-9845-2 | DOI Listing |
Sci Rep
January 2025
Laboratoire d'Ingenierie des Systemes Physiques et Numeriques, 59046, Lille, France.
The demand for efficient Industry 4.0 systems has driven the need to optimize production systems, where effective scheduling is crucial. In smart manufacturing, robots handle material transfers, making precise scheduling essential for seamless operations.
View Article and Find Full Text PDFAnn Fam Med
January 2025
Internal Medicine and Biomedical Informatics, University of Utah, Salt Lake City, Utah.
JMIR Form Res
January 2025
The Institute for Digital Medicine (WisDM), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Background: Singapore's large aging population poses significant challenges for the health care system in managing cognitive decline, underscoring the importance of identifying and implementing effective interventions. Cognitive training delivered remotely as a digital therapeutic (DTx) may serve as a scalable and accessible approach to overcoming these challenges. While previous studies indicate the potential of cognitive training as a promising solution for managing cognitive decline, understanding the attitudes and experiences of older adults toward using such DTx platforms remains relatively unexplored.
View Article and Find Full Text PDFNeuroimage
January 2025
Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing, 100048, China. Electronic address:
Although creative ideas often emerge during distraction activities unrelated to the creative task, empirical research has yet to reveal the underlying neurocognitive mechanism. Using an incubation paradigm, we temporarily disengaged participants from the initial creative ideation task and required them to conduct two different distraction activities (moderately-demanding: 1-back working memory task, non-demanding: 0-back choice reaction time task), then returned them to the previous creative task. On the process of creative ideation, we calculated the representational dissimilarities between the two creative ideation phases before and after incubation period to estimate the neural representational change underlying successful incubation.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
ETH Zurich, Zurich, Switzerland.
Background: The escalating global scarcity of skilled health care professionals is a critical concern, further exacerbated by rising stress levels and clinician burnout rates. Artificial intelligence (AI) has surfaced as a potential resource to alleviate these challenges. Nevertheless, it is not taken for granted that AI will inevitably augment human performance, as ill-designed systems may inadvertently impose new burdens on health care workers, and implementation may be challenging.
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