An Integrated Crowdsourced Framework for Disaster Relief Distribution
This paper outlines our ongoing efforts at building an effective disaster relief system utilizing real-time, crowdsourced responses to disaster events. This system integrates three components: social media analysis, rescue demand prediction, and relief distribution optimization. We introduce the conceptual disaster relief system, database structure, and its integrated components. Finally, a summarization of the current research challenges we expect to address in the future is provided.