2017 Advanced Institute on Disaster Risk Reduction with Systems Approach for Slow-Onset Climate Disasters (AI-SOCD)
The 2017 Advanced Institute on Disaster Risk Reduction with Systems Approach for Slow – Onset Climate Disasters (AI-SOCD) focuses on Air Pollution, Sensors, and Big Data will be held at the Academy of Sciences located in Taipei.
The AI is mainly organized by Integrated Research on Disaster Risk International Centre of Excellence, Taipei (IRDR ICoE-Taipei), of the Academy of Sciences located in Taipei in partnership with ICSU ROAP.
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