The academic fields and disciplines of the 2009-2010 Glennan Fellows vary as widely as the projects in which they are engaged.
Awarded each spring, Glennan Fellowships are administered by the University Center for Innovation in Teaching and Education (UCITE) and designed to reward excellence in faculty and to nurture their growth as teachers and scholars. Each Glennan Fellow has been awarded $6, 500 to be used toward their projects.
This year's Fellows are Mehmet Koyuturk, electrical engineering and computer science; Nico Lacetera, economics; Mohan Sankaran, chemical engineering; Daniel Tisch, epidemiology and biostatistics; and Horst von Recum, biomedical engineering.
Case Daily will feature each of the 2009-10 award recipients' projects.
Mehmet Koyuturk, T. & D. Schroeder Assistant Professor of Computer Science and Engineering
Project: "Learning Bioinformatics Together: Development of Active Learning Strategies to Face the Challenges of Interdisciplinary Education"
As a Glennan Fellow, Koyuturk plans to develop and implement a number of active learning strategies in bioinformatics.
"The last few decades have witnessed the evolution of science from a cohort of disciplines with distinct focus areas into a collective, interdisciplinary effort on generating knowledge," Koyuturk wrote about his project. "An excellent example for 'interdisciplinarization' comes from biology, where the influence of human genome project transforms hypothesis-driven research into data-driven research, giving rise to new disciplines such as bioinformatics and systems biology. lnterdisciplinary research requires (and enables) interdisciplinary education, presenting unique challenges and opportunities in training the next generation of scientists, professionals and intellectuals."
Koyuturk and Matthew M. Ruffalo, a computer engineering graduate and master's student, plan to implement a "bioinformatics workbench," which will serve as a soft laboratory for students. Undergraduate and graduate students will evaluate existing tools for biological data analysis, test their own ideas and visualize their observations to demonstrate their point of view.
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