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Non-Commercial Radio Programming

01 Non-Commercial Radio Programming · 35 edit slice
9
orgs
35
activities
3
strategies
AZ
epicenter
the opening take
This slice touches 9 organizations and 35 activities — THE BISBEE RADIO PROJECT INCORPORATED, FOUNDATION FOR CREATIVE BROADCASTING, SOUTHERN CALIFORNIA PUBLIC RADIO, YAVAPAI COUNTY CONTRACTORS ASSN and others. Activity concentrates in Arizona (67%) and California (33%). The field's most common shared approach is "Automated Music Diversity", run by 1 orgs.
THE BISBEE RADIO PROJECT INCORPORATED and FOUNDATION FOR CREATIVE BROADCASTING hold roughly a third of all activity — know those first.
pull-quote · for funders
who to look at first

shortlist

Ranked by activity breadth, method diversity, and network reach across the slice. Attach a memo to this report and this list re-ranks around your intent.

where this slice is thin

gap signals

Concrete structural gaps — method mix, geographic concentration, coalition density, funder diversity. Evidence is cited from the slice's own numbers.

where the field lives · works

geography

Orange headquarters dots are sized by how many grantees are based in the state. Green circles mark real locations these orgs say they serve — from city-level populations in this slice's impact_map_populations data. Toggle layers at the bottom right.

regional breakdown · hq density
Arizona 67% · 6 orgs
California 33% · 3 orgs
who's here

organizations in this field · 9

sort by
direct service advocacy research capacity building
where the money comes from

funders already active in this field

Funders named as a funding source on these orgs' own materials. The count is the number of orgs in this slice that cite them — higher means a funder with demonstrable commitment to the field.

Andrew W. Mellon Foundation 1
Foundation
Chan Zuckerberg Initiative 1
Foundation
Multiple corporate sponsors 1
Corporate
National Endowment for the Arts 1
Government
National Science Foundation 1
Foundation
The William and Flora Hewlett Foundation 1
Foundation
USDA 1
Government
how the field thinks

strategies in this slice

Theories of action extracted from the orgs in this slice. The count is how many orgs cite each one — a strategy run by many orgs in common is a through-line; one cited by a single org is still surfaced so the reader can gauge the full spread.

where strategy meets practice

strategies × activity types

How each shared strategy breaks down across the four activity types the orgs running it actually do.

direct service
advocacy
research
capacity building
Automated Music Diversity
11
Decentralized Inquiry & Governance
3
Land-Centered Mission
6
who works with whom

named partnerships · coalitions · networks

Entities these orgs explicitly call out as partners, coalition members, or networks. Unlike the strategy-sharing graph below (which is inferred from shared approaches), these are relationships the orgs claim on their own sites.

PBS Network
shared by 2 orgs
ARIZONA FALLEN HERO MEMORIAL RIDERS (AFHMR) Partner
shared by 1 org
AZ Sheriff's Association Partner
shared by 1 org
AZ Sherriff’s Association Partner
shared by 1 org
Airbnb Partner
shared by 1 org
Akonadi Foundation Funder
shared by 1 org
Amanpour & Co. Partner
shared by 1 org
Andrew W. Mellon Foundation Funder
shared by 1 org
Arizona 811 Partner
shared by 1 org
Arizona Complete Health Partner
shared by 1 org
Arizona Registrar of Contractors Government
shared by 1 org
Arizona’s Children Association Partner
shared by 1 org
Arts Foundation for Tucson and Southern Arizona Partner
shared by 1 org
Austin-Tillotson University Partner
shared by 1 org
BBC Partner
shared by 1 org
Backmarket Partner
shared by 1 org
where the field connects

strategy-sharing network

Inferred from shared theories of action: each line connects an org to a strategy it runs. Organizations that share many strategies cluster through the same nodes — funders can spot the field's structural bridges.

scale of the field

rollup metrics

Aggregated scale claims from orgs in the slice. Treat as a floor, not a ceiling — many orgs don't publish these numbers, so totals underrepresent real reach. Extreme outliers (often unit-mismatches upstream) are filtered out.

3.9M
People served
from 2 orgs