Today, in the face of increasingly destructive natural disasters, human-machine teaming is essential to helping first responders save lives. Automation of high-skill, labor-intensive tasks can act as a force multiplier by reducing cognitive burden while extracting meaningful insights about a disaster, allowing first responders to focus on higher-order challenges, like decision making. Critical to effective response efforts, machine learning al...