Recommendations for City of Los Angeles Master Plan /
Wilshire Community Plan

Community Recommendations for the City of Los Angeles’ General Plan 2040

The Berggruen Institute’s first LA-based initiative, Sense LA, together with organizations throughout Los Angeles, is using its leading-edge community input method to gather and provide formal recommendations for the City of Los Angeles’ General Plan 2040.

By Fall 2020, SenseLA will launch an online interactive community plan and written report for the Wilshire Corridor that will provide community-led recommendations based on information emerging from its various creative assemblies with organizations throughout the area.

The initiative, spearheaded by the Korean American Federation of Los Angeles and former LAFD deputy Chief, Emile Mack, has been adopted by dozens of place-based, religious and cultural organizations throughout the city.

Using Sense LA to gather input for the general plan builds on the concept of participatory planning and leverages people’s creativity and local expertise to build a more comprehensive, inclusive, and dynamic plan for the next twenty years.

Participating organizations as of Spring 2020:

• Korean American Federation of Los Angeles
• Bangladeshi Unity Federation of Los Angeles (BUFLA)
• Search to Involve Phillipino Americans (SIPA)
• Wilshire Center Koreatown Neighborhood Council (WCKNC)
• Rampart Village Neighborhood Council
• Magnolia Community Initiative
• Westlake North Neighborhood Council
• Department of Neighborhood Empowerment
• Information Technology Agency (LA City’s Mayor’s Office)
• State Senator William’s office
• CCNP (Central City Neighborhood Partners
• Islamic Center

 

If you are interested in participating, please fill out the form below and we will be in touch with you.

Korean American Federation of Los Angeles (KAFLA)

Laura Jeon

Laura Jeon

President of the Korean American Federation of Los Angeles (KAFLA)
Emile W. Mack

Emile W. Mack

Executive VP of the Korean American Federation of Los Angeles (KAFLA)

Sense LA

Joyce Jalleo

Joyce Jalleo

Executive Assistant
Gabriel Kahan

Gabriel Kahan

Creative Practitioner and Technologist, Berggruen Fellow

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