Big Science in Music

Guerino Mazzola, Jason Noer, Yan Pang, Shuhui Yao, Jay Afrisando, Christopher Rochester and William Neace
Additional contact information
Guerino Mazzola: School of Music, University of Minnesota
Jason Noer: University of Minnesota, Department of Theatre Arts & Dance
Yan Pang: University of Minnesota, Department of Theatre Arts & Dance
Shuhui Yao: School of Music, University of Minnesota
Jay Afrisando: School of Music, University of Minnesota
Christopher Rochester: School of Music, University of Minnesota
William Neace: School of Music, University of Minnesota

Chapter Chapter 9 in The Future of Music, 2020, pp 95-102 from Springer

Abstract: Abstract In physics, Big Science Big Science is defined by a theory (models and theorems), an experimental paradigm, extensive laboratories, international collaboration, and political acceptance. In this chapter, we discuss such an option for the science of music.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-39709-8_9

Ordering information: This item can be ordered from
http://www.springer.com/9783030397098

DOI: 10.1007/978-3-030-39709-8_9

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().