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Socially Relevant Computing Research Experience for Undergraduates


View this Opportunity's Website 


Academic Level:
Undergraduates - First Year
Undergraduates - Sophomore
Undergraduates - Junior
Undergraduates - Senior

Description:
Our Research Experiences for Undergraduates (REU) program engages undergraduate students in socially relevant computing research. The program immerses students in a truly collaborative research community. We teach research skills through training sessions and experiential, hands-on learning, while students are active contributors to a community of practice that includes faculty, graduate students, and peers.

Students have the opportunity to explore and advance the state of the art in pervasive computing, computer vision, data visualization, social networks, and human-computer interaction to address real-world problems with broad societal impact. Past projects have included the development of algorithms for analyzing medical images to improve clinical diagnosis of heart conditions and breast cancer, creation and evaluation of serious games for teaching introductory concepts in computer science, studies of privacy and user expectations in social media, and the design of smart spaces for museum artifact preservation.

We welcome participation from all students. We are particularly committed to broadening participation of underrepresented groups in computing, and strongly encourage applications from women and underrepresented minority students, students from institutions where research opportunities are limited, and applicants from minority and women?s institutions.


Participating Institution(s):
(Click an institution to see all programs it hosts)
University of North Carolina, Charlotte

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Artificial Intelligence
Computational Sciences
Computer Sciences
Digital Media
Information Sciences
Optics & Photonics
Robotics
Spatial/Geographic Information Systems

Keywords:
Human-Computer Interaction
Image Processing
Security
Sensor Networks
Social Network Analysis
Video Data
Virtual Environments
Visualization
Wireless Networks

Questions about this program?
Click here to view this program's website

This program is funded by:
National Science Foundation (NSF)


Page last updated 10/27/2016
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