Kansas Data Science Consortium (KDSC)
Overview
The Kansas Data Science Consortium is a collaborative group representing colleges and universities across Kansas. The KDSC seeks to engage students in real-world data analysis, expanding access to data science education, and building Kansas's capacity for innovation and reasoning.
Our program is funded through NSF EPSCoR Kansas, and housed at the University of Kansas, with Kansas State University and Wichita State University as our additional primary consortium members. Secondary consortium members include Baker University, Butler Community College, Johnson County Community College, and Donnelly College. Faculty from each of these schools are working to improve data science curriculum, enhance existing ongoing classes, and build new classes. The KDSC is made possible by the dedication and enthusiasm of our faculty and staff members.
Our Initiatives
KDSC 2025 Conference
Quantitative Methods Reading Group
Coffee and Conversations
Workshops
Data Consulting Services
KDSC provides support for data science projects to students, faculty, staff, and community members. Examples of consultations may include: data searches and integration, dashboard development, geospatial analysis, regression analysis, data scraping, data pipeline management, data wrangling and visualization.
Request ConsultationAbout Community Data Labs
The signature program of the Kansas Data Science Consortium is Community Data Labs, which brings real-world data projects into the classroom. The KDSC recruits businesses, government agencies, non-profits, and other organizations to become community partners. Community partners agree to contribute a problem or question and a related dataset. These projects are then introduced into specially-structured classes devoted to independent, small group or individual inquiry. Each school has a unique composition of student levels and specialties, which means a wide range of projects are suited by a diverse skillset.
Students gain valuable hands-on experience, which may contribute to their career success, and will be better consumers of information in their everyday life. Community partners can implement data-driven solutions which they may not have had the resources to identify on their own.
