Individual Fellow Initiatives
Early Exposure to Data Skills in Introductory Biology Sequence
Cohort: 2023
Fellow: Ann Thijs
Biology continues to be seen as a field for science-interested, but math-disinterested students. However, due to the surge in data use in all biology careers, and the focus in research on sequence data, there is a strong need for data skill development in biology degree programs. Math anxiety poses a specific challenge for biology education. A suggestion to overcome this, is an early introduction to data skills in the two-course sequence of Introductory Biology.
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.