In 2007 we undertook 'capacity building' with six Natural Resource Management (NRM) bodies within Australia, where the aim was to train staff in how to develop Bayesian networks (Bns). Previously, the NRM staff had expressed interest in developing Bns themselves to assist with their target setting, planning and reporting needs, so that investments in on-ground activities can be better targeted to outcomes in resource condition. Concurrently, we were developing generic Bns 'collaboratively' with the same groups. Six months after completing the initial training, none of the NRM regions had made any significant progress in the development of their own Bns. Follow-up surveys, two and a half years later, found that the development of Bns by the ...
Bayesian Networks (BNs) are increasingly being used as decision support tools to aid the management ...
This paper describes a problem-based learning approach to develop systems thinking and capacity buil...
Bayesian Belief networks (BBNs) are a useful tool to account for uncertainty and can be used to inco...
It is becoming more widely acknowledged that in order to build appropriate decision support systems ...
This paper examines the perspectives of major interest groups on capacity development within the con...
Natural resource (NR) outcomes at catchment scale rely heavily on the adoption of sustainable practi...
Bayesian Networks (Bns) are emerging as a valid approach for modelling and supporting decision makin...
The capacity of private landholders to manage natural resources is constrained and enabled by divers...
Water resource management is complex, and should ideally be a co-operative, stakeholder-driven probl...
This overview article for the special series “Bayesian Networks in Environmental and Resource Manage...
Since the emergence of national natural resource management programs, there have been few tools that...
Australia's Natural Resource Management (NRM) regions are required to report to the Australian Gover...
Capacity development has become an increasingly hot topic in the water sector. The development of in...
Collaboration between stakeholders plays an important role in natural resource management (NRM). It ...
Capacity building should be an integral component of adaptive collaborative management (ACM) approac...
Bayesian Networks (BNs) are increasingly being used as decision support tools to aid the management ...
This paper describes a problem-based learning approach to develop systems thinking and capacity buil...
Bayesian Belief networks (BBNs) are a useful tool to account for uncertainty and can be used to inco...
It is becoming more widely acknowledged that in order to build appropriate decision support systems ...
This paper examines the perspectives of major interest groups on capacity development within the con...
Natural resource (NR) outcomes at catchment scale rely heavily on the adoption of sustainable practi...
Bayesian Networks (Bns) are emerging as a valid approach for modelling and supporting decision makin...
The capacity of private landholders to manage natural resources is constrained and enabled by divers...
Water resource management is complex, and should ideally be a co-operative, stakeholder-driven probl...
This overview article for the special series “Bayesian Networks in Environmental and Resource Manage...
Since the emergence of national natural resource management programs, there have been few tools that...
Australia's Natural Resource Management (NRM) regions are required to report to the Australian Gover...
Capacity development has become an increasingly hot topic in the water sector. The development of in...
Collaboration between stakeholders plays an important role in natural resource management (NRM). It ...
Capacity building should be an integral component of adaptive collaborative management (ACM) approac...
Bayesian Networks (BNs) are increasingly being used as decision support tools to aid the management ...
This paper describes a problem-based learning approach to develop systems thinking and capacity buil...
Bayesian Belief networks (BBNs) are a useful tool to account for uncertainty and can be used to inco...