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DIVAS Project

Divas All 2018


The Digital Imaging and Vision Applications in Science (DIVAS) project is a collaborative venture between faculty at Doane University and  St. Edward's University in Austin, Texas. The project addresses workforce challenges in science, technology, engineering, and mathematics (STEM) by creating a pedagogical and programmatic "onramp" that empowers natural science majors to engage in authentic computational problems as members of skilled, professional teams. Our interventions provide stimulating experiences for students, and aim to improve learning outcomes, and increase student retention and graduate rates in STEM fields. This project follows feedback from a previous NSF-funded planning grant (NSF ACI#1216869) that sought to determine the cyberinfrastructure needs for efficient phenomics research. The project identified both a technical and workforce bottleneck in data analysis.

The links on the sidebar provide more detail regarding the project, the faculty and students involved, the projects DIVAS scholars have pursued. There are also links to the workshops developed during the project.

The DIVAS project is funded by a three-year grant from the National Science Foundation's Improving Undergraduate STEM Education (IUSE) Exploration & Design: Engaged Student Learning program.

Image Processing

Python Basics