Project MOSAIC Principal Investigators
Daniel Kaplan, Macalester College
Danny Kaplan is the DeWitt Wallace Professor of Mathematics, Statistics, and Computer Science at Macalester College in Saint Paul, Minnesota. His research background is in the application of nonlinear dynamics to physiological variability, especially as it connects to cardiology. At Macalester, he has developed the introductory sequence in calculus and statistics as well as an introduction to computing for scientists. He’s written several textbooks: Understanding Nonlinear Dynamics, Introduction to Scientific Computation and Programming, and Statistical Modeling: A Fresh Approach.
Karl-Dieter Crisman, Gordon College
Karl-Dieter Crisman is Associate Professor of Mathematics at Gordon College in Wenham, Mass. His research is in the mathematics of voting and choice, but he came to modeling and (open-source) computing via teaching. He has used modeling activities in non-major calculus for many years, and is coauthor of the standard tutorial for teachers wanting to use Sage in the classroom (developed as part of an MAA PREP workshop).
Nicholas Horton, Amherst College
Nicholas Horton is a Professor of Mathematics and Statistics at Smith College in Northampton, Massachusetts. His research interests are in longitudinal regression models and missing data methods (with applications in psychiatric epidemiology and substance abuse research) as well as statistics education. He is the author of a series of books on statistical computing, including Using R for Data Management, Statistical Analysis, and Graphics and a related blog.
Eric Marland, Appalachian State University
Eric Marland is a Professor of Mathematical Sciences at Appalachian State University in the mountains of North Western North Carolina. His current research interests include issues related to carbon sequestration and climate change accounting methodologies. He has been involved in mathematical biology education issues for many years, running a number of faculty development workshops.
Randall Pruim, Calvin College
Randy Pruim is a Professor of Mathematics and Statistics and Adjunct Professor of Computer Science at Calvin College in Grand Rapids, MI. His research interests have shifted over the years from mathematical logic, to computational complexity, to computational biostatistics. He is co-author (with Uwe Shöning) of Gems of Theoretical Computer Science, translator of Complexity Theory by Ingo Wegener, and author of Foundations and Applications of Statistics: and Introduction Using R (AMS, 2011). He currently serves as past chair of the Mathematical Association of America’s SIGMAA for Statistics Education and as a member of the MAA/ASA Joint Committee on Undergraduate Statistics.