Biography

Dr. Nils Gilman is the Vice President of Programs at the Berggruen Institute, in which capacity he leads the Institute’s research program, directs its resident fellowship program, and is also Deputy Editor of Noema Magazine. He has previously worked as Associate Chancellor at the University of California Berkeley, as Research Director and scenario planning consultant at the Monitor Group and Global Business Network, and at various enterprise software companies including Salesforce.com and BEA Systems. Gilman has won the Sidney Award (for long-form journalism) from the New York Times and an Albie Award (for international political economy) from The Washington Post.

He is the author of Mandarins of the Future: Modernization Theory in Cold War America (2004) and Deviant Globalization: Black Market Economy in the 21st Century (2011) as well as numerous articles on intellectual history and political economy. He holds a B.A. M.A. and Ph.D. in History from U.C. Berkeley.

 


composed by Arswain
machine learning consultation by Anna Tskhovrebov
commissioned by the Berggruen Institute
premiered at the Bradbury Building
downtown Los Angeles
april 22, 2022

Human perception of what sounds “beautiful” is necessarily biased and exclusive. If we are to truly expand our hearing apparatus, and thus our notion of beauty, we must not only shed preconceived sonic associations but also invite creative participation from beings non-human and non-living. We must also begin to cede creative control away from ourselves and toward such beings by encouraging them to exercise their own standards of beauty and collaborate with each other.

Movement I: Alarm Call
‘Alarm Call’ is a long-form composition and sound collage that juxtaposes, combines, and manipulates alarm calls from various human, non-human, and non-living beings. Evolutionary biologists understand the alarm call to be an altruistic behavior between species, who, by warning others of danger, place themselves by instinct in a broader system of belonging. The piece poses the question: how might we hear better to broaden and enhance our sense of belonging in the universe? Might we behave more altruistically if we better heed the calls of – and call out to – non-human beings?

Using granular synthesis, biofeedback, and algorithmic modulation, I fold the human alarm call – the siren – into non-human alarm calls, generating novel “inter-being” sonic collaborations with increasing sophistication and complexity. 

Movement II: A.I.-Truism
A synthesizer piece co-written with an AI in the style of Vangelis’s Blade Runner score, to pay homage to the space of the Bradbury Building.

Movement III: Alarmism
A machine learning model “learns” A.I.Truism and recreates Alarm Call, generating an original fusion of the two.

Movement IV: A.I. Call
A machine learning model “learns” Alarm Call and recreates A.I.Truism, generating an original fusion of the two.


RAVE (IRCAM 2021) https://github.com/acids-ircam/RAVE