Welcome to the Center for Interdisciplinary Research
Part of the NSF Program to Enhance the Mathematical Science Workshop(NSF0354308) >>
What is it?
The Center for Interdisciplinary Research (CIR) brings together undergraduate statistics students supervised by statistics faculty with faculty and students from other disciplines to share in the excitement and challenge of working across the traditional academic boundaries to collaborate on research.
The philosophy of the CIR is to foster interdisciplinary research through
- Enhancing communication between the different academic disciplines and
- Engaging faculty and students in problem-based collaborations.
What does the CIR Have to Offer?
- Research team collaborations
- NSF Fellowships for Undergraduates and Postdoctoral Students
- Student Seminar Series
- Drop in for consultation at the CIR in Regents 207 (CIR Office Hours Fall 07-08 >>)
How Can You Get Involved?
If you are a faculty member... The CIR provides
faculty from nearly any discipline an opportunity to enrich your research through collaborating with faculty and students in statistics. Contact Julie Legler , Paul Roback or Matt Richey to discuss potential collaborations. Contact information appears below.
If you are a student... Students with statistics concentrations can gain invaluable experience by participating in interdisciplinary research. Besides getting to know other statistics students, you apply your statistics knowledge to interesting, real research problems. You learn skills that will make you a productive, valued member of an interdisciplinary research team. Click here to learn more.
If you are a postdoctoral fellow... As an NSF Fellow and CIR Associate, you will have the opportunity to teach courses, mentor enthusiastic, bright undergraduates, participate in interdisciplinary research, and more. Click here to learn more.
Where is the CIR?
Who can I contact?
Julie Legler (on sabbatical 08-09) (email@example.com), Paul Roback X3861 Old Science 314 (firstname.lastname@example.org), Sharon Lane-Getaz X3411 Old Science 320 (email@example.com), Katie Ziegler-Graham X3415 Old Science 366 (firstname.lastname@example.org), or Jim Scott X3418 Old Science 372 (email@example.com)