Building dynamic cartographies for efficiently dispatching help to disaster zones: a data centric perspective
In the era of social networks and instantaneous communication data are shared and exchanged by civilians for actively acting and delivering help on the presence of events, for instance, disasters, and at the same time that the act they enrich and generate new data. It is required to consolidate past and present, and that consolidated information can let make decisions and act individually and collectively. Data consolidation and analytics must solve semantic heterogeneity between postmortem and continuous data from different sources, described and modelled with respect to different references.
Data centric disaster management can be motivated by a behavior of civil society in the presence of disasters that we witnessed in Mexico in the earthquake of September 2017, when society took on the organization of the aid, organized help and acted marginally to the actions of official institutions like civil protection or firemen. The phenomenon of organization of civilians under horizontal and marginal groups has come up in other countries in Latin America during rivers flooding in Uruguay and Argentina and during annual landslides in diverse regions of Brazil.
This talk will address data exploitation challenges (access, meta-description, visualization) of data collected from social networks about disasters. The talk will also focus on the aspects to consider when data must be integrated with physical and geographic data for creating dynamic and evolutive cartographies that can support and allow the historical registry of spontaneous disaster management actions guided by civil society.