Santa Fe Institute

Santa Fe Institute Research Experiences for Undergraduates (REU)

Edward A. Knapp Undergraduate Fellows

June 4 - August 10, 2012

21st century scientists increasingly rely on computational models and strategies.  The social sciences in particular are benefitting from new modeling techniques, improved computing power, new ways of measuring social phenomena, and quantitative methods drawn from physics, chemistry, biology, economics, and other disciplines. As a result, important questions previously inaccessible to quantitative exploration are now reachable.

SFI’s REU program provides an opportunity for young scientists from many disciplines to explore what a social science perspective brings to other fields and how traditionally quantitative disciplines can contribute to the social sciences. Each REU participant works with one or more SFI faculty mentors on a specific, mutually selected projects focusing on the computational properties of complex systems with particular, but not exclusive, emphasis on the social sciences. Possible focus areas include emergence in decision- making and cognitive systems; network structure and dynamics; cities, scaling, and sustainability; risk, markets, and innovation; and the evolution of languages. See Santa Fe Institute Profile

Participants are expected to be in residence in Santa Fe for approximately 10 weeks, from June 4 to August 10, 2012.

Support

Housing and a partial meal plan will be provided, at no cost to the student, in single-occupancy rooms with shared bathrooms at St. John's College in Santa Fe. Modest living stipends will also be provided to interns during their stay, along with some support of round-trip travel expenses from the home institution. Because Santa Fe lacks a full public transportation system, we encourage those interns who can bring their private transportation to do so.

Additional information regarding logistics can be found on the REU Wiki Page

Eligibility

For the purposes of this program, an undergraduate student is one who is enrolled in a degree program (part-time or full-time) leading to a bachelor's degree. Students transferring from one institution to another who are enrolled at neither institution during the intervening summer may participate. College seniors graduating in Spring 2012 are not eligible; nor are graduating high school students who have not yet enrolled as undergraduates.

Strong mathematical skills and experience with a programming language are favorably considered. Students from all backgrounds in the physical, natural, and social sciences are invited to participate.  National Science Foundation funds are limited to supporting U.S. citizens and permanent residents. Women and minority students are encouraged to apply.

Application Requirements

  • A current resume (CV).
  • A statement of your current research interests and what you intend to accomplish during your internship (suggested length one to two pages).
  • Two (2) letters of recommendation from scholars who know your work.
  • Official transcripts from each college or university attended. Be sure to request your transcripts from the registrar sufficiently in advance so that we receive these records by the February 6 deadline.

To Apply

To begin online application click HERE. SFI’s online application site is open December 6, 2011 to February 6, 2012 at www.santafe.edu. Applicants will be notified by e-mail in late February regarding the status of their applications.

Official, sealed transcripts should be mailed to:

Santa Fe Institute - REU Program
1399 Hyde Park Rd.
Santa Fe, NM 87501

For further information about the program, please e-mail Juniper Lovato at , or call (505) 946-2726.

The Santa Fe Institute is an equal opportunity employer.

The Santa Fe Institute REU Program is supported by the National Science Foundation under Grant Number 1005075

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation

This program is sponsored by the National Science Foundation

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