People

Angelos Chryssogelos

Angelos Chryssogelos

Political Scientist; 2018-19 Berggruen Fellow at Harvard EJSCE

Biography

Angelos Chryssogelos is assistant professor in politics and international relations at the School of Social Sciences, London Metropolitan University. He received his doctorate from the European University Institute in Florence and has been a postdoctoral fellow at the Hellenic Observatory of the London School of Economics (2015-16), a Berggruen-Weatherhead Research Fellow at the Global Populism research cluster of the Weatherhead Center, Harvard University (2018-19) and a Fulbright-Schuman Scholar at SAIS Johns Hopkins (2019). In the 2020-21 academic year he is a Jean Monnet fellow at the Robert Schuman Centre for Advanced Studies of the EUI. He is research associate of the Martens Centre and associate fellow of the Europe Programme of Chatham House. His research interests are on the intersection of international relations and comparative politics, with a particular interest in the sources and impact of populism on world politics and foreign policy.

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