What is the overall goal of your project?
The goal of this project is to develop a system which will enable data integration, analysis and visualization of large-scale and multi-source data in order to facilitate effective information gathering, resilient infrastructure planning, and smart emergency relief in disasters.  In addition, the system will be capable of integrating and analyzing crowdsourced and localized data related to infrastructure condition and damages collected by citizens. This web application system will enable integration, analysis, and visualization of large-scale and heterogeneous data in order to map the resilience profile of urban infrastructure for disaster preparedness and response planning and operation.

Which grand challenge are you addressing?
This project addresses the grand challenge related to “restoring and improving urban infrastructure” as identified by the National Academy of Engineering. The objective of this project is to design and prototype information systems and applications to enable data analytics and decision-making for disaster response actions and urban infrastructure systems.

What is the key challenge your project is trying to solve?
The first key challenge is data mining of crowdsourced platforms and news websites to map useful components about the disaster situations and needs. The second key challenge of this project is data analytics for understanding the dynamics of human behaviors and the interactions of humans with infrastructure disruptions in disasters.

What is the impact on society your project has?
The outcomes of this project will enable communities to be smarter in responding to ever-growing disasters. Also, the project outcomes will provide knowledge and information for decision-makers and residents to make data-driven and smart decisions to build resilience capacity in response to disasters.

Faculty Mentors: Ali Mostafavi and Xia "Ben" Hu

Engineering Majors Targeted: CVEN, CSCE, ISEN