Data Science in Disasters and Emergency Response is a short workshop-format introduction to using data science in emergency and disaster response that is written for first responders and emergency managers.
DS590 Data Science in Practice is a graduate course designed to help students gain critical, practical skills in applying data science to real world problems. Students will work in teams of 3-5 to tackle a real-world problem defined by a project sponsor. Project sponsors can be academics or industry practitioners. Students work with the project sponsor to understand the problem domain, identify where their data science skills can be applied, and to design, implement and test a solution.
INFO I426/516 Informatics in disasters and emergency response is an undergraduate/graduate elective designed for students interested in using technology and informatics skills in prevention of, mitigation of, response to and recovery from threats to safety, and emergency and disaster situations.
Info I590 Data and Society is a graduate course that introduces technically-trained students to the social, political, and ethical aspects of data science work. It is designed to create reflective practitioners who are able to think critically about how collecting, aggregating, and analyzing data are social processes, and processes that affect people.