NIST researchers conducted hundreds of fire experiments to find out what conditions make a room ripe for backdraft and fed the data to a machine learning algorithm. The result was a backdraft-predicting computer model. The NIST team plans to incorporate the model into handheld devices that firefighters could use to take simple measurements through small openings in a room.