em presentation slides - escience...

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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