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This type of information will assist us with assessing damage in real time during the storm event and help prioritize response efforts after the storm.        

The MIT Urban Risk Lab is successfully employing the software developed for PetaBencana.id to support risk planning for Hurricane Irma. Through gathering crowdsourced confirmed situational reports via social media, the platform, RiskMap.us, tracks flooding during Hurricane Irma in real time.

The publicly available map, currently being piloted in Broward County, Florida, allows residents , government officials, and first responders to stay informed about changing flood conditions across the county, in order to prepare for and respond to emergency events. At a news conference on Friday, Broward County Mayor Barabara Sharief said that the map will help assess the damage in real-time and help prioritize response efforts.

We’re excited to see CogniCity Open Source Software continue to support geographies outside Indonesia, and in the spirit of open-source, the ways by which partnering teams have been able to build and expand upon existing bodies of work!

Read more about the launch of RiskMap.us here.

Find out how to report to RiskMap.us here.

Members from the team at SmartSaigon, an open source flood mapping platform in Vietnam, came to visit PetaBencana.id to exchange ideas on the use and implementation of crowdsourced data for disaster risk management. The team has adapted the same software powering PetaBencana.id, CogniCity Open Source Software, to develop and support a flood mapping platform for Saigon. It was great to see how CogniCity has been able to serve as a framework supporting geographies outside Indonesia, and how the team at SmartSaigon have used the software to build and expand upon existing bodies of work. 

The SmartSaigon team also met with the Jakarta Disaster Management Agency, Jakarta Smart City, and Pulse Lab Jakarta, to learn about PetaBencana.id’s collaborations with various stakeholders in Jakarta. While SmartSaigon and PetaBencana serve very distinct contexts, we were able to share lessons learnt from both similar, and dissimilar, experiences. PetaBencana was very excited to learn about the ways that SmartSaigon has developed strategies to support the unique urban practices in Saigon, including the incorporation and integration of chatbots on different social media platforms pertinent to the city. It was great to also learn about the ways in which CogniCity has been modified to attune to the unique perceptions of risk in Saigon.