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ARCHIPELAGO

ARCHIPELAGO. Data Aggregation and Visualization for the Cultural Sector. [ ahr - k uh - pel - uh - goh ]. I searched Google Images for “grant” and this is what they gave me…. 4 FRAMING QUESTIONS. Who is making art?. Where is it happening?. Who is engaging it?. How is it supported?.

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ARCHIPELAGO

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  1. ARCHIPELAGO Data Aggregation and Visualization for the Cultural Sector

  2. [ahr-kuh-pel-uh-goh]

  3. I searched Google Images for “grant” and this is what they gave me… 4 FRAMING QUESTIONS Whois making art? Whereis it happening? Whois engaging it? Howis it supported?

  4. KEY AUDIENCES Grantmakers Arts advocates and service organizations Researchers Policymakers Artists & arts organizations Art nerds!

  5. TYPES OF DATA

  6. DATA COLLECTION PHILOSOPHY • Broad, inclusive approach • Both arts organizations and arts-relevant organizations • e.g., symphony orchestra vs. high school Emphasis on sustainability • Multipurpose data collection • Use secondary sources wherever possible • Leverage local knowledge and relationships • Automate, automate, automate Note: There’s tension between the two!

  7. ORGANIZATIONS • Nonprofits and gov’t agencies (for-profits later) • Sources: IRS/Guidestar, original research • Supplemented by Cultural Data Project

  8. SPACES • Syndicated from Spaces application • New York • Bay Area • Philadelphia • Los Angeles • Washington DC • Minnesota • Sacramento • Atlanta • Salt Lake City • more coming…

  9. AUDIENCES • Mailing list co-ops • e.g., Bay Area Big List • Working with TRG on quasi-national data set

  10. GRANTS • Sourced from individual grantmakers • Foundations, city, county, and federal agencies • Working with Foundation Center for upcoming Sustainable Arts initiative

  11. REGIONS • Source: US Census • Counties and cities • Congressional districts • State legislative districts • Zip codes • Census tracts • Census block groups

  12. INDICATORS • Population • by race, age, foreign origin, educational attainment, disability status • Housing • rent, home values, vacancy rate, homeownership • Income • median household, poverty rate, unemployment • Transportation • vehicles per household, public transit use • Sources: US Census (2010), American Community Survey (2009), and Bureau of Labor Statistics

  13. REPORTS AND VISUALIZATIONS

  14. SAVED MAPS HELP TELL STORIES

  15. SAMPLE BETA TEST PROJECTS Arts consultantInformed recommendations to client regarding impact of grantmaking program City arts agencyDeveloped outreach for community-wide cultural plan Discovered burgeoning media arts community “barely touched” by current funding City office of economic developmentAssisted with planning process for cultural district FoundationPinpointed opportunities for municipal investment to support cultural activity (e.g., transit, retail, etc.)planIdentified appropriate venues at which to present workshops in outlying counties

  16. WHAT’S NEXT? • New analytical capabilities • Longitudinal analysis • Cross-regional comparisons • Standard metrics and benchmarks • Scenario planning tools

  17. WHAT’S NEXT? • New data sets • Fiscally sponsored organizations/projects • For-profits / creative economy businessese.g. music clubs, independent bookstores • Events and activities

  18. WHAT’S NEXT? • New advocacy capabilities • Campaign organizing tools • Issue tracking

  19. WHAT’S NEXT? • Free, public, national version • Limited data sets (e.g., no CDP) • Premium accounts for funders, etc.

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