REU Site: Computation Methods for Understanding Music, Media, and Minds

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Academic Level:
For most summer research programs, this is your upcoming status as of the fall. Always check with the individual program's website for details.

Undergraduates - Sophomore
Undergraduates - Junior

Description:
How can a computer learn to read an ancient musical score? What can methods from signal processing and natural language analysis tell us about the history of popular music? Can a computer system teach a person to better use prosody (the musical pattern of speech) to become a more effective public speaker? REU students will explore an exciting, interdisciplinary research area that combines machine learning, audio engineering, music theory, and cognitive science. Each student will be mentored by two or more faculty members drawn from Computer Science, Electrical and Computer Engineering, Brain and Cognitive Science, the program in Digital Media Studies, and the Eastman School of Music.

Eligible students are:

Students with a minimum cumulative GPA of 2.85 in the major or

Students with exceptional academic progress in the two preceding semesters

Full-time sophomores (60 credits minimum), and juniors who can commit to a summer research experience

U.S. Citizen or Permanent Resident

Students receive assistance with travel to and from program, a $4,500 stipend, housing, and meal allowance. There is an accompanying professional development series to help students prepare for conducting independent research, creating inclusive research environments, the graduate admissions process, the general record exam, and scientific communication.


Application Deadline: 1/29/2023
Note: Most programs maintain a similar program cycle (including similar application deadlines) year after year. Click here to understand dates and deadlines on PathwaysToScience.org.

Program Dates: 5/23/2023 - 6/28/2023

Participating Institution(s):
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Program Materials:

This Program can be Described by:

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


Page last updated 11/29/2022
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