em presentation slides - escience...
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Equitable FuturesEquitable FuturesImage Source:Michael Tompsett
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team photograph
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Image Source:The Seattle Times
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Our project context:Urban Inequality in Seattle
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Our project context:Working towards equity in Seattle
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Our project:An interactive educational website
Domain Research Interactive Visualization Tool Structural Equation Model
Indicators
Processes
Working definitions Correlations
Model scores
Literature review
Prediction 6
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Data ProcessingCensus data
● General demographic information● Aggregated at block group level
Points of interest● Schools, libraries, parks, healthcare● Sourced from Seattle Open Data portal
Accessibility● Transit time to points of interest● Sourced from Google Distance Matrix API
Other data● Ex. walkscore, bike lanes, tree cover ● Can aggregate at any level● Crosswalk script converts to block group
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CIVICINFRASTRUCTURE
DEVELOPMENT
Median income
Unemployment
#Jobs
Property values
Proximity of recreation
Proximity of transit
Proximity of fresh produce
Proximity of hospitals
Proximity of schools
Housing stock
#Permits issued
Population density
Building heights
URBANEQUITY
ECONOMIC CLIMATE
Structural Equation ModelExample
IndicatorsLatent Variables(themes) 20
DEVELOPMENT & BUSINESS
URBANEQUITY
INCOME
HEALTH
MOBILITY
HOUSING
ENVIRONMENT
EDUCATION
indicators
indicators
indicators
indicators
indicators
indicators
indicators
SEM: Original Idea
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Enhancing the Tool
● Build statistical analysis features to allow users to easily access more complicated diagnostic tests and graphics
● Create a system to visualize multiple indicators at once
● Incorporate more granular data into the model
● Develop further functionality at the neighborhood scale
Sharing the Tool
● Engage with stakeholders
● Targeted release of tool for testing
● Secure funding and hosting to support evolution of the tool
University of Washington - eScience Institute - College of Built Environments
Next Steps
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Thank you!
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