implementation generally ineffective as information was not connected between activities. They also reported that hazard maps at the relevant scale were hard to find and that detailed topographic data was not sufficiently available (the latter aspect is the purview of BIG and not covered in the R&V science program). HOT have investigated establishing a technical solution (GeoNode) to host and manage hazard information at BNPB (this function would be required to enable the R&V supported hazard information to be used by InaSAFE). This aspect has not yet received commitment and it is not clear whether the BNPB Disaster Data Exchange (InaDDX) will provide this function. The International Organisation for Migration (IOM) have equally recognised the importance of information management and incorporated it into the training they delivered through the AIFDR program. IOM also commented on how staff turnover is a major factor that affects sustainability of these programs. BMKG have independently acknowledged the need to improve data management and are planning to centralize all data. There is evidence of one of the R&V supported activities undertaking data management activities with the BMKG real-time earthquake activity taking steps to archive strong motion data. DMI has also recently made their own efforts to address internal data management issues that were identified during InaSAFE use. Leading by example and sharing this learning with the GoI science agencies will no doubt help promote good data management practices. Example of a tsunami inundation map that disaster managers better plan and prepare (above) Question 3: Which R&V initiated training and capacity building programs have been effective? Have they targeted the correct individuals/groups and to what extent have participants adopted new practices, and are these likely to be sustained? Finding: The GREAT program is highly effective, and is producing home grown Indonesian leaders in science Typically GoA offers scholarships to Australian Universities to address educational gaps in the tertiary sector in partner countries. The science community in Indonesia stressed the need for students to be trained in Indonesia and study locally relevant problems. Given the lack of expertise in earthquake seismology and geology in Indonesia, the GREAT program (Graduate Research on Earthquakes and Active Tectonics) was initiated and actively supported by R&V. R&V has in turn supported ANU to provide additional support to the delivery of the GREAT program. The program has targeted university students and GoI government agencies such as BG, Public Works, BIG and BMKG. This sensible approach ensures that students will either continue to support government in their existing roles,
implementation generally ineffective as information was not connected between activities. They also reported that hazard maps at the relevant scale were hard to find and that detailed topographic data was not sufficiently available (the latter aspect is the purview of BIG and not covered in the R&V science program). HOT have investigated establishing a technical solution (GeoNode) to host and manage hazard information at BNPB (this function would be required to enable the R&V supported hazard information to be used by InaSAFE). This aspect has not yet received commitment and it is not clear whether the BNPB Disaster Data Exchange (InaDDX) will provide this function. The International Organisation for Migration (IOM) have equally recognised the importance of information management and incorporated it into the training they delivered through the AIFDR program. IOM also commented on how staff turnover is a major factor that affects sustainability of these programs. BMKG have independently acknowledged the need to improve data management and are planning to centralize all data. There is evidence of one of the R&V supported activities undertaking data management activities with the BMKG real-time earthquake activity taking steps to archive strong motion data. DMI has also recently made their own efforts to address internal data management issues that were identified during InaSAFE use. Leading by example and sharing this learning with the GoI science agencies will no doubt help promote good data management practices. Example of a tsunami inundation map that disaster managers better plan and prepare (above) Question 3: Which R&V initiated training and capacity building programs have been effective? Have they targeted the correct individuals/groups and to what extent have participants adopted new practices, and are these likely to be sustained? Finding: The GREAT program is highly effective, and is producing home grown Indonesian leaders in science Typically GoA offers scholarships to Australian Universities to address educational gaps in the tertiary sector in partner countries. The science community in Indonesia stressed the need for students to be trained in Indonesia and study locally relevant problems. Given the lack of expertise in earthquake seismology and geology in Indonesia, the GREAT program (Graduate Research on Earthquakes and Active Tectonics) was initiated and actively supported by R&V. R&V has in turn supported ANU to provide additional support to the delivery of the GREAT program. The program has targeted university students and GoI government agencies such as BG, Public Works, BIG and BMKG. This sensible approach ensures that students will either continue to support government in their existing roles,