Maxim Dulebenets of FAMU is developing an AI-based decision-support algorithm to streamline disaster responses. The algorithm will identify the organizations involved with humanitarian operations to produce a more centralized and cohesive control of operations that can save lives in times of disaster.

“The main challenge in large-scale humanitarian operations is the fact that there are so many entities involved,” said Dulebenets. “The algorithm will analyze the supplies that organizations provide and how fast they can be distributed and to whom. We hope to make humanitarian operations more efficient and lower the total cost of the operations as well.”

• Maxim Dulebenets