Neighborhood Change Prediction

Key Challenges

Gentrification and declining neighborhoods affect nearly all major cities in the United States
Current rules-based approaches for identifying these neighborhoods are backwards-looking and do not allow local policymakers to get ahead of neighborhood decline and gentrification
Gentrifying and declining neighborhoods account for less than 3% and 10% of our data respectively

The Urban Institute and IBM team up to fight inequality using AI

Expected Business Outcome


Expedite on-ramp	Identify gentrifying neighborhoods	Explainable AI
Get your neighborhood change prediction models up and running faster	Encourage inclusive urban growth by identifying neighborhoods at risk of gentrification or decline	Determine driving factors for gentrification on the neighborhood level using the most up to date data

Key Features

Information architecture	End-to-end AI Ladder application	Modular framework

An architecture enabling you to extract meaning from your data to predict neighborhood change proactively	From cataloging data through a glossary of terms to model development and deployment, simplify the lifecycle of your AI project	Composable and extensible pattern that can be applied to new data and industries

Get Started

Start experimenting today. Download and use this accelerator in your Cloud Pak for Data instance. Refer to the README file to get started.	Kick-start your data science solution with this accelerator.

Highlighted Products for this Accelerator

IBM Cloud Pak for Data

Built on Red Hat OpenShift Container Platform, IBM Cloud Pak for Data accelerates your journey to AI to transform how your business operates with an open, extensible data and AI platform that runs on any cloud.

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Watson Knowledge Catalog

Help your data users quickly find, curate, categorize and share data, analytical models and their relationships with other members of your organization.

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Watson Studio

Empower your data science and AI teams to refine data and visually build and deploy models, using data on the desktop for anytime, anywhere access.

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