Individual Fellow Initiatives

The development of increasingly powerful computational resources has made computational competencies new core forms of literacy that should be formed as part of basic education across all STEM fields.

For some time now the humanities have been “in crisis,” but the crisis is becoming acute: majors in nearly all humanities fields have been sharply declining, enrollments are down, hiring of tenure-track faculty is down, and, at some colleges and universities across the United States, whole departments are being eliminated. Here at the University of Texas, majors that are growing seem to be ones that promise a literal return on investment (invest money in a degree and get that money back, in the form of a well-paying job upon graduation) or at least suggest an obvious and practical use.

The goal of this project is to train the next generation of environmental engineers in computing and statistical techniques to solve big data problems. Current undergraduate students in the Department of Civil, Architectural and Environmental Engineering have little to no exposure to computational and statistical methods for data analysis (e.g., big data collected from sensor networks). I proposed to integrate computational techniques in several courses throughout the Environmental Engineering Degree.