Dr. Kerby Awarded NSF Grant to Support Statistics and Data Science Education


Dr. April Kerby, a professor in the Department of Mathematics and Statistics at Winona State University, has been named as a co-principal investigator on a $600,000, three-year National Science Foundation grant supporting the Motivational Attitudes in Statistics and Data Science (MASDER) project.

With the ever-growing demand for professionals with the necessary skills to turn data into knowledge, statistics and data science have become two of the fastest growing fields worldwide, with a high demand in the U.S. specifically. Understanding students’ attitudes towards these subjects can be crucial for developing effective pedagogies in these areas and inspiring students to pursue a career in these fields.

MASDER will create a family of instruments in both statistics and data science to measure teaching and learning through data collected about students and instructors, in addition to the learning environment.  These instruments, which Kerby hopes will become a “go to” resource for assessing students’ attitudes towards statistics and data science, will be publicly available to instructors and researchers to help inform their teaching and improve those attitudes.

Kerby looks forward to involving undergraduate students in the project and is excited for what they will be able to contribute as well as gain from the experience. “I hope that students will get to utilize their programming skills to help us create customizable reports which will be available to the instructors who have their students take the survey.”

During her time at Winona State University, Dr. Kerby has helped create the undergraduate Data Science program, one of the first in the Midwest.  Her research has primarily focused on students’ attitudes towards statistics in relation to introducing a “Problem of the Week” into the introductory statistics course and she has published her findings in the Statistics Education Research Journal.


Source

2020-2021 Distinguished Lecturer in Mathematics and Statistics

Dr. Lisette de Pillis

Harvey Mudd College

Mathematical Medicine:  Modeling Disease and Treatment

Abstract:  Immune system dynamics have proven to play an increasingly central role in the development of new treatment strategies for immune-related diseases such as type 1 diabetes and certain cancers.  The critical importance of the immune system in fighting such diseases has been verified clinically, as well as through mathematical models.  Many open questions remain, however, including what may lead to non-uniform patient responses to treatments, and how to optimize and personalize therapy strategies.  Mathematical models can help to provide insights into the mechanisms that may be influencing patient outcomes.  In this talk, we will present a sampling of mathematical models that help us to simulate immune system interactions, disease dynamics, and treatment approaches that may slow, or even stop, disease progression.

Wednesday, October 28th,
12:00—12:50 pm via Zoom