Deadline: 8 May 2017
The Sendai Framework for Disaster Risk Reduction 2015-2030 (SFDRR) is seeking applications to manage the risk of small-scale and large-scale, frequent and infrequent, sudden and slow-onset disasters caused by natural or man-made hazards. The causes and impacts of disaster events are generally complex; thus, systems thinking and systems approach which can identify complex interactions among different sectors shall be employed to DRR research and practices in order to design and implement effective practices to reduce disaster risks.
One of the most concerned issues in the SFDRR is the extreme climate events posing threats on human societies worldwide.
Approximately 15-20 young to mid-career candidates from academia, practitioner, and policy communities from the Asia and the Pacific region are expected by the SFDRR. Participants are encouraged to bring specific issues or research ideas that will be further developed and nurtured based on systems thinking involving multiple disciplines and stakeholders. Participants will be required to apply systems thinking to interact and brainstorm for research topics for air pollution disaster issues.
The objective of this AI-SOCD is to provide young to mid-career practitioners, researchers and policy makers in Asia and the Pacific region with enhanced understanding, skills and practical knowledge to apply systems approaches in DRR research focusing on Air Pollution, Sensors, and Big Data. At the end of this training, the participants should have:
- Developed understanding of the concepts, principles and practices of systems approach for DRR research focusing on Air Pollution, Sensors, and Big Data;
- Developed capacity on application of air pollution (focusing on PM2.5) sensors on environmental monitoring and detection of air pollution events to protect public health and reduce climate disaster risks;
- Enhanced comprehension of the interpretation of the air pollution monitoring information from big data and environmental health perspectives.
The topics to be covered are listed below:
- Concepts, principles and practices of systems approach and systems thinking tools for climate-related DRR research;
- Cross-sector collaboration with systems approach among scientists from air pollution, sensory technology, and big data analytics;
- Early detection/warning of climate-variability induced air pollution events with multidisciplinary participatory/citizen’s science;
- Hands-on practices of air pollution sensors;
- Comprehension of the air pollution monitoring information from big data and environmental health perspectives.
How to Apply
Applicants must submit their applications via email at the address given on the website.
For more information, please visit SFDRR.