Speaking directly to the growing importance of research experience in undergraduate mathematics programs, this volume offers suggestions for undergraduate-appropriate research projects in mathematical and computational biology for students and their faculty mentors. The aim of each chapter is twofold: for faculty, to alleviate the challenges of identifying accessible topics and advising students through the research process; for students, to provide sufficient background, additional references, and context to excite students in these areas and to enable them to successfully undertake these problems in their research.

Some of the topics discussed include: 

-Oscillatory behaviors present in real-world applications, from seasonal outbreaks of childhood diseases to action potentials in neurons

-Simulating bacterial growth, competition, and resistance with agent-based models and laboratory experiments

-Network structure and the dynamics of biological systems

-Using neural networks to identify bird species from birdsong samples

-Modeling fluid flow induced by the motion of pulmonary cilia

Aimed at undergraduate mathematics faculty and advanced undergraduate students, this unique guide will be a valuable resource for generating fruitful research collaborations between students and faculty.

Building New Models: Rethinking and Revising ODE Model Assumptions: Paul J. Hurtado

A Tour of the Next Generation Reproductive Number and the Next Generation of Researchers
The Effect of External Perturbations on Ecological Oscillators: Eli E. Goldwyn
Exploring Modeling by Programming: Insights from Numerical Experimentation: Brittany E. Bannish and Sean M. Laverty
Simulating Bacterial Growth, Competition, and Resistance with Agent-Based Models and Laboratory Experiments: Anne E. Yust and Davida S. Smyth
Agent-Based Modeling in Undergraduate Biology: A Few Examples: Alexandra Ballow, Lindsey Chludzinski, and Alicia Prieto-Langarica
Network Structure and Dynamics of Biological Systems: Deena Schmidt
What Are The Chances? -Hidden Markov Models: Angela B. Shiflet, George W. Shiflet, Mario Cannataro, Pietro Hiram Guzzi, Chiara Zucco, Dmitry A. Kaplun
Using Neural Networks to Identify Bird Species from Birdsong Samples: Russell Houpt, Mark Pearson, Paul Pearson, Taylor Rink,Sarah Seckler, Darin Stephenson, and Allison VanderStoep
Using Regularized Singularities to Model Stokes Flow: A Study of Fluid Dynamics Induced by Metachronal Ciliary Waves: Elizabeth L. Bouzarth, Kevin R. Hutson, Zachary L. Miller, and Mary Elizabeth Saine.