Durham Neighborhoods

Project Summary

Anna Vivian (Physics, Art History) and Vinai Oddiraju (Stats) spent ten weeks working closely with the director of the Durham Neighborhood Compass. Their goal was to produce metrics for things like ambient stress and neighborhood change, to visualize these metrics within the Compass system, and to interface with a variety of community stakeholders in their work.

Themes and Categories
Year
2016

Project Results

The team analyzed business and housing data and proposed several metrics of neighborhood change. They presented their findings in community meetings and to elected Durham officials. They are currently developing an R Shiny app that will incorporate their metrics into the current Compass user interface.

Download the Executive Summary (PDF)

Article Is Durham's Revival Pricing Some Longtime Residents Out?

Video The Durham Neighborhoods Team discusses their work with Durham Neighborhood Compass

 

Article Mapping a Changing City With Data https://ssri.duke.edu/news/mapping-changing-city-data

Client

Project Manager

Participants

Disciplines Involved

  • Public Policy
  • Environmental Science
  • Economics
  • History
  • Public Health

Related People

Related Projects

Brooke Erikson (Economics/Computer Science), Alejandro Ortega (Math), and Jade Wu (Computer Science) spent ten weeks developing open-source tools for automatic document categorization, PDF table extraction, and data identification. Their motivating application was provided by Power for All’s Platform for Energy Access Knowledge, and they frequently collaborated with professionals from that organization.

Click here to read the Executive Summary

 

Jake Epstein (Statistics/Economics), Emre Kiziltug (Economics), and Alexander Rubin (Math/Computer Science) spent ten weeks investigating the existence of relative value opportunities in global corporate bond markets. They worked closely with a dataset provided by a leading asset management firm.

Click here for the Executive Summary

Maksym Kosachevskyy (Economics) and Jaehyun Yoo (Statistics/Economics) spent ten weeks understanding temporal patterns in the used construction machinery market and investigating the relationship between these patterns and macroeconomic trends.

They worked closely with a large dataset provided by MachineryTrader.com, and discussed their findings with analytics professionals from a leading asset management firm.

Click here to read the Executive Summary