Updated: 2017 Advanced Institute on Disaster Risk Reduction with Systems Approach for Slow-Onset Climate Disasters

Photos and a short report are now online at the website of the Academia Sinica, one of the main organizers of the AI-SOCD.

The 2017 Advanced Institute on Disaster Risk Reduction with Systems Approach for Slow-Onset Climate Disasters (AI-SOCD), hosted by Academia Sinica, Taipei, was successfully held on 10-14 July 2017.  See a report and photos from the AI-SOCD at their website.

 

 

 

Download the Program booklet to see the course contents and information on lectureres and participants.

About AI-SOCD

Systems thinking and systems approach is essential to identify complex interactions among different sectors and to design and implement effective practices to reduce disaster risks. 2017 Advanced Institute on Disaster Risk Reduction with Systems Approach for Slow-Onset Climate Disasters (AI-SOCD) will run from 10 to 14 July 2017 in Taipei and will focus on Air Pollution, Sensors, and Big Data. The AI-SOCD aims to build capacity to conduct multidisciplinary and participatory science using sensors for PM2.5 and other air pollutant, by linking environmental monitoring, information technology, and public health researches.

AI-SOCD calls for participants from young to mid-career practitioners, researchers and policy makers in Asia and the Pacific region. 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.

The sessions of the AI-SOCD will include lectures by eminent scholars and practitioners in systems approaches and involved disciplines, break-out sessions, hand-on practices, and field visits. The topics to be covered will include:

  • Concepts, principles and practices of systems approach and systems thinking tools for climate-related Disaster Risk Reduction (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.

All participants will be working in groups conceptualizing an individual or collaborative project, that are to be presented in plenary session at the conclusion of the Advanced Institute. A "call-for-proposal" will be announced after this AI-SOCD to support follow-up research activities. The trainees will be invited to submit DRR research proposals followed by a competitive reviewing process.

For further information on this call and how to apply, read the announcement. Interested individuals must submit the following items to International Council for Science Regional Office for Asia and the Pacific (ICSU ROAP) no later than 8 May 2017.

The AI-SOCD is mainly organized by Integrated Research on Disaster Risk International Centre of Excellence, Taipei (IRDR ICoE-Taipei), of the Academia Sinica in Taipei in partnership with ICSU ROAP,  and supported by Future Earth, Regional Centre for Future Earth in Asia, International Global Atmospheric Chemistry Project (IGAC), IGAC Monsoon Asia and Oceania Networking Group (MANGO), and Institute for Environment and Development (LESTARI UKM).

IRDR          Academia Sinica, Taipei, Taiwan, China