Rachel S. Bauch

Rachel S. Bauch

Biography

Rachel S. Bauch has more than twenty years experience developing and implementing milestone communications campaigns and initiatives for not-for-profits, corporations and foundations. In many cases, this work has helped to guide and define these institutions for a generation. As the former head of the Los Angeles office for Finn Partners’ Polskin Arts & Communications Counselors, Ms. Bauch provided strategic leadership counsel, crisis management and public relations for arts, cultural, architectural, design and science projects.

Ms. Bauch led communications surrounding the highly anticipated opening of The Broad, a new contemporary museum in downtown Los Angeles designed by architects Diller, Scofidio + Renfro; the reopening of The Getty Villa and the unprecedented launch of the Pacific Standard Time initiatives for the J. Paul Getty Trust; strategic counsel and media relations campaigns on behalf of the LA Natural History Family of Museums for their seven-year capital campaign and transformation and its launch of the integrative NHM Urban Nature Research Center; and science and crisis communications for the La Brea Tar Pits and Museum. The roster of her other notable clients included Sotheby’s, Christie’s, Bank of America; Biomuseo in Panama, Ullens Center in Beijing, Menil Drawing Institute, Moody Center for the Arts at Rice University; Hammer Museum, Mike Kelley Foundation, Turnaround Arts, Carnegie Hall, Yo-Yo Ma’s Silk Road Project, Los Angeles Ballet, Aquarium of the Pacific and Monterey Bay Aquarium. Ms. Bauch has held communications and university administration roles at the Los Angeles County Museum of Art (LACMA) and the USC Roski School of Art & Design; the USC International Offices in Asia and the USC Center for International Business Education and Research (CIBEAR).

She received her undergraduate degree in Politics from the Catholic University of America in Washington, D.C. where she also studied English Literature and Anthropology before earning her graduate degree from the University of Southern California Annenberg School for Journalism.


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