Kansas Data Science Consortium
This project is part of the Kansas EPSCoR project RII Track 1: Adaptive and Resilient Infrastructures driven by Social Equity (ARISE).
The consortium aims to help people and organizations to harness the data revolution to do good. The team trains students in core competencies of data science. The consortium team also works to create smarter data science methods and work with local businesses and organizations with limited capacity to capitalize on data analytics.
Adaptive and Resilient Infrastructures driven by Social Equity
RII Track-1: Adaptive and Resilient Infrastructures driven by Social Equity (AR…
Principal Investigator
Michael Branicky, professor of electrical engineering and computer science
Jeffrey Girard, assistant professor of psychology
Project Dates
June 2022 – May 2027