Discounting the value of natural resources in costbenefit analysis: a case study for policy making

4 p.

Weighting social preferences in participatory multi-criteria evaluations: a case study on sustainable natural resource management

28 p.

Implementing Integrated Water Resources Management in the Ebro River Basin: From Theory to Facts

JA-925

Strengthening impact evaluation in natural resource management

The workshop on Strengthening Evaluation in Natural Resource Management Research is part of an ACIAR-funded Small Research and Development Activity (SRA) on Assessing the Impacts of Natural Resource Management and Policy Research in Development Programs, with WorldFish and Commonwealth Scientific and Industrial Research Organization (CSIRO) as partners. The SRA objectives included a review of literature to identify challenges in assessing the impact of NRMR programs and to propose a framework that addresses them. An exploratory workshop was held in February 2012 to initiate collective action within the CGIAR Research Programs (CRPs) to identify and address their impact challenges and led to the creation of the NRMR impact community of practice (COP). This follow-up workshop brought together members of the COP and partners in the SRA to discuss and reach agreement on how to progress on our collective goals of building new and appropriate approaches for NRMR IE and how to put these approaches into action through our research programs. This report is a documentation of the workshop process and outputs.

Integrating mobile and cloud resources management using the cloud personal assistant

The mobile cloud computing model promises to address the resource limitations of mobile devices, but effectively implementing this model is difficult. Previous work on mobile cloud computing has required the user to have a continuous, high-quality connection to the cloud infrastructure. This is undesirable and possibly infeasible, as the energy required on the mobile device to maintain a connection, and transfer sizeable amounts of data is large; the bandwidth tends to be quite variable, and low on cellular networks. The cloud deployment itself needs to efficiently allocate scalable resources to the user as well. In this paper, we formulate the best practices for efficiently managing the resources required for the mobile cloud model, namely energy, bandwidth and cloud computing resources. These practices can be realised with our mobile cloud middleware project, featuring the Cloud Personal Assistant (CPA). We compare this with the other approaches in the area, to highlight the importance of minimising the usage of these resources, and therefore ensure successful adoption of the model by end users. Based on results from experiments performed with mobile devices, we develop a no-overhead decision model for task and data offloading to the CPA of a user, which provides efficient management of mobile cloud resources.