TY - GEN
T1 - The reciprocity of data integration in disaster risk analysis
AU - Paulus, David
AU - Meesters, Kenny
AU - Vries, Gerdien de
AU - Walle, Bartel Van de
PY - 2019/5/1
Y1 - 2019/5/1
N2 - Humanitarian organizations are increasingly challenged by the amount of data available to drive their decisions. Useful data can come from many sources, exists in different formats, and merging it into a basis for analysis and planning often exceeds organizations’ capacities and resources. At the same time, affected communities’ participation in decision making processes is often hindered by a lack of information and data literacy capacities within the communities. We describe a participatory disaster risk analysis project in the central Philippines where the community and a humanitarian NGO worked towards a joint understanding of disaster risks and coping capacities through data integration and IT-supported analysis. We present findings from workshops, focus group discussions and semi-structured interviews, showing the reciprocal effects of the collaborative work. While the community valued the systematically gathered and structured evidence that supported their own risk perceptions and advocacy efforts, the humanitarian NGO revisited established work practices for data collection for analysis and planning.
AB - Humanitarian organizations are increasingly challenged by the amount of data available to drive their decisions. Useful data can come from many sources, exists in different formats, and merging it into a basis for analysis and planning often exceeds organizations’ capacities and resources. At the same time, affected communities’ participation in decision making processes is often hindered by a lack of information and data literacy capacities within the communities. We describe a participatory disaster risk analysis project in the central Philippines where the community and a humanitarian NGO worked towards a joint understanding of disaster risks and coping capacities through data integration and IT-supported analysis. We present findings from workshops, focus group discussions and semi-structured interviews, showing the reciprocal effects of the collaborative work. While the community valued the systematically gathered and structured evidence that supported their own risk perceptions and advocacy efforts, the humanitarian NGO revisited established work practices for data collection for analysis and planning.
UR - https://pure.tudelft.nl/portal/en/publications/the-reciprocity-of-data-integration-in-disaster-risk-analysis(137cf0b5-c5f4-4f53-afc5-2e934c6e81a4).html
M3 - Conference contribution
SP - 1103
EP - 1113
BT - Proceedings of the 16th ISCRAM Conference
PB - ISCRAM
CY - Valencia
ER -