Illustration by Allison Feldman for the Urban Institute

Introducing a Spatial Equity Data Tool

Data-driven decisionmaking in city government has expanded rapidly in recent years, driven by advances in technology and the digitization of many city services. While we at the Urban Institute applaud the growth of data-driven decisionmaking, we also recognize that there are real concerns about the potential for bias in data used to guide public decisions. Left unchecked, unrepresentative data can directly lead to inequitable policy outcomes that harm vulnerable groups.

--

--

--

Data@Urban is a place to explore the code, data, products, and processes that bring Urban Institute research to life.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

HCDE 210 Experience: Visualization

My experience at LGMVIP

How to talk to data and my data science journey

Optimization with constraints using Lagrange Multiplier in Python

Optimization with constraints Python

Insight into a few basic deep learning algorithms

Even Models Need to Pass Tests! — Part 2

Big Data Ecosystem Case Study

A Curation of Tools for Promoting Effective Data Re-Use for Addressing Public Challenges

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Data@Urban

Data@Urban

Data@Urban is a place to explore the code, data, products, and processes that bring Urban Institute research to life.

More from Medium

Mapping changes in Water Bodies of Bengaluru City with Sentinel-1 Data

Import NYC Census data into R with tidycensus

3 ways to push data to ArcGIS Online .

How To Get Geospatial Data In a Few Easy Steps