and Applied Mathematics

Colloquium Series

Fall 2019 Colloquia

Mathematical Modeling: From Kindergarten to Industry

Rachel Levy, MAA Deputy Executive Director

Monday, October 21, 4pm, Acad. Learn. Com. 1201

Mathematical Modeling is taking off at all levels of mathematics education and provides one way for students to develop meaningful connections between mathematics and the world around us.
In my research, I have explored whether students as young as Kindergarten can engage in mathematical modeling in ways that resonate with the ways my undergraduates at Harvey Mudd College engaged in industry-based problems. This requires the modelers to develop and justify a useful solution to a complicated problem.
Now as Deputy Executive Director of MAA, I get to support programs like MAA PIC Math, which prepare university faculty to create undergraduate courses focused on industrial problems and the MAA AMC mathematics contests, which provides opportunities for middle, high school and college students to experience challenging mathematical problem solving.
In this talk I will share with you some surprising insights from four years following elementary school teachers engaging their students as mathematical modelers and discuss how this work impacted my own practice as a mathematical modeling educator and researcher.
Rachel Levy is Deputy Executive Director of the MAA. Previously she was Professor of Mathematics and Associate Dean for Faculty Development at Harvey Mudd College and Vice President for Education for the Society for Industrial and Applied Mathematics. Her most recent book, written with Rick Laugesen and Fadil Santosa, is the BIG Jobs Guide, which helps people with expertise in the mathematical sciences prepare for internships and jobs in Business, Industry and Government (BIG).

Dots and Lines: The Hidden Networks Around Us

Anthony Bonato, Ryerson University

Friday, November 8, 4pm, Acad. Learn. Com. 2104

Our world is made up of dots and lines. Networks, or graphs as they are also called, are mathematical objects that quantify how systems interact. From protein networks in living cells, to bitcoin transactions, to keywords in Trump’s tweets, networks reside in every aspect of our lives and nature. Although networks are everywhere, many are invisible. Mathematicians and data scientists are only beginning to reveal these hidden networks and unlock their secrets. We give a guided tour of the modern field of network science, with insights along the way into what makes networks tick.
Anthony Bonato’s research is in Graph Theory and Network Science. He authored over 120 publications and four books with 80 co-authors. Bonato is currently full Professor in the Department of Mathematics at Ryerson University, Editor-in-Chief of the journal Internet Mathematics, and editor of the journal Contributions to Discrete Mathematics. He delivered over 30 invited addresses at international conferences in North America, Europe, Australia, China, and India.
Bonato supervised 40 students and post-doctoral fellows. He taught undergraduate and graduate courses at Ryerson, Dalhousie, Laurier, Mount Allison, Waterloo, the National University of Ireland, and the African Institute for Mathematical Sciences in Cameroon. He served as Chair of the Department of Mathematics at Ryerson 2010-2013 and Associate Dean in the School of Graduate Studies from 2013-2017. Bonato served on the NSERC Discovery Mathematics and Statistics Evaluation Group for four years, and was the Chair for the Pure Mathematics section.
Bonato writes a popular blog on math in pop culture, and his words and writing were published in Salon, The Conversation, Maclean’s, and the National Post.

Past Colloquiua


Richard P. Stanley (MIT)


Edward Scheinerman (JHU)


Rebecca Goldin (GMU)


Joel D. Hamkins (CUNY)


Stephen J. Merrill (Marquette)


Narcissus Quagliata


Sharon Crook (ASU)


Martin Golubitsky (MBI)


Gregory D. Smith (W&M)


Doron Zeilberger (Rutgers)


Daniel Forger (UMich)


Ami Radunskaya (Pomona C)


Neil J. A. Sloane (OEIS)


George Andrews (PSU)


Christine Darden (NASA)


James Yorke (UMD)


David T. Kung (St. Mary's C)


Douglas Mupasiri (UNI)


Chad Topaz (Williams C)


George Hart