Rigorous quantitative and qualitative research is an important component of academic learning in Scientific Inquiry. This independent learning opportunity allows advanced students to delve into real-world research with faculty who are currently engaged in specific projects. Students typically begin by working in apprenticeship with faculty or laboratory staff and gradually take on more independent projects within the context of the specific research program as they gain experience. Students can develop vital skills in research design, data acquisition and interpretation, written and oral communication, collaboration, and critical thinking that are valuable for students pursuing a graduate degree or entering the job market.

David McAvity (mathematics) is interested in problems in mathematical biology associated with population and evolutionary dynamics. Students working with him will help create computer simulations using agent-based modeling and cellular automata and analyzing non-linear models for the evolution of cooperative behavior in strategic multiplayer evolutionary games. Students should have a strong mathematics or computer science background.