In the event of a natural disaster like Hurricane Ida, artificial intelligence (AI) may be used to assess damage, using imagery reports to identify the severity of flooded areas. Using AI in disaster scene assessment has its limitations, however, and input from the people affected is needed, in order to get a better picture. A new project being led by Associate Professor Dong Wang will explore the power of human intelligence to address the failures of existing AI schemes in disaster damage assessment applications and boost the performance of the system. Wang has received a three-year, $499,786 National Science Foundation (NSF) Human-Centered Computing (HCC) grant for his new project, "DeepCrowd: A Crowd-assisted Deep Learning-based Disaster Scene Assessment System with Active Human-AI Interactions."