The call for applications is now open.
- To access the applications go to this link:
- To access the recommendation forms go to this link:
EXTENDED DUE DATE FOR APPLICATIONS IS NOW APRIL 11, 2016.
Welcome to the homepage for the National Science Foundation Research Experience for Undergraduates in Civil Conflict Management and Peace Science at the University of North Texas. The Summer 2016 REU will take place summer 2016 from June 6 to July 28.
Please note: ALL STUDENTS ARE ELIGIBLE AS LONG AS YOU ARE STILL CLASSIFIED AS AN UNDERGRADUATE STUDENT. Unfortunately, students graduating in May 2016 are not eligible for the summer program (BECAUSE THEY ARE NO LONGER CONSIDERED AND UNDERGRADUATE BY THE TIME THE PROGRAM STARTS. Students graduating in August 2016, however, are eligible to participate in the program. Only US citizens and permanent residents are eligible for participation in the program.
The Department of Political Science at the University of North Texas has initiated a unique program to provide undergraduate students recruited from across the country the opportunity to engage in graduate-level research in conflict management and peace science in a senior faculty-mentored, in-residence, eight-week, Summer Research Experience (SRE) that integrates training in civil conflict management with training in Geographic Information Systems (GIS). Participants develop theoretical propositions that are tested empirically. Participants collect and analyze empirical data and report their findings in a public forum. Activities include workshops on theory development, computer simulations, research methodology, and the graduate school application process. At the conclusion of the program, students present their research at UNT and at a national political science conference. The program is led by UNT faculty members Dr. John T. Ishiyama (Political Science) and Dr. Joseph Oppong (Geography). Please contact the Director of the Program, Dr. John Ishiyama at firstname.lastname@example.org for any questions.
Acknowledgement: This material is based upon work supported by the National Science Foundation under Grant No. 1062343 (http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1062343) . 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.
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