Data Science Presentations

This page includes links to presentations given in the weekly CSE DSI Machine Learning Seminar as well data science-related workshops organized by researchers at the University of Minnesota.

CSE DSI Machine Learning Seminar

Recordings of past presentations can be viewed on the Machine Learning Seminar YouTube channel.

Knowledge Guided Machine Learning: A Framework for Scientific Discovery (2020-2021)

Recordings of 87 presentations can be viewed on the KGML YouTube channel. Visit the project website.

This workshop is part of a 2-year conceptualization project funded by the NSF's Harnessing the Data Revolution (HDR) program involving researchers from the University of Minnesota, University of Wisconsin, Penn State, Colorado State University, and the University of Virginia. This project aims to develop a framework that uses the unique capability of data science models to automatically learn patterns and models from data, without ignoring the treasure of accumulated scientific knowledge. Specifically, the project builds the foundations of knowledge-guided machine learning (KGML) by exploring several ways of bringing scientific knowledge and machine learning models together using pilot applications from four domains: aquatic ecodynamics, climate and weather, hydrology, and translational biology.

Funding for this project was provided by the National Science Foundation's Harnessing the Data Revolution (HDR) Big Idea. The project team was led by the University of Minnesota, including faculty and researchers from the College of Science and Engineering and the College of Food, Agricultural and Natural Resource Sciences, and also included researchers from the University of Virginia, the University of Wisconsin-Madison, Colorado State University, Pennsylvania State University, and the United States Geological Survey.