Individual Fellow Initiatives
Data Analysis Tools: Integrating Computational and Statistical Techniques in the Environmental Engineering Curriculum
Cohort: 2018
Fellow: Paola Passalacqua
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.
CREEES Fusion Room: an Interdisciplinary Digital Workshop
Cohort: 2016
Fellow: Mary Neuburger
This project entailed the creation of a curricular context and physical space for collaborative interdisciplinary teaching and research for faculty and students interested in Russian, East European and Eurasian studies. This was achieved in two ways. First, I transformed the required gateway course to our major, “Introduction to Russian, East European and Eurasian Studies,” which had been a disjointed “parade of faculty” course with disconnected guest speakers.