Syracuse, United States

2011 challenge

Like many cities along the U.S. Rust Belt, Syracuse has seen an outmigration of jobs and people from the city center to the suburbs. The resulting rise in vacant properties, exacerbated by the foreclosure crisis, has negative impacts across all segments of society and imposes direct costs on the city in code, fire, maintenance and other costs. Mayor Stephanie Miner asked IBM to help the city understand, analyze, predict and therefore prevent increases in vacant residential properties. The IBM team developed a property vacancy prediction model that combines two concepts; the first, a system of systems method, connects stakeholders and data from neighborhood, planning and development, common services, and support services entities. The second element, a predictive situational analysis system, uses a variety of tools including a data clearinghouse, prediction methodologies, cost estimations, decision analysis, event correlation, and a dashboard to facilitate decision-making by the city. The team provided Mayor Miner with a roadmap to implement this model, which aims to move Syracuse towards data-driven, holistic, and proactive interventions that prevent and reverse neighborhood decline.

City Leader

Stephanie Miner

Mayor of Syracuse, New York

Team Members

  • Derek Botti

    • Industry Solutions Architect - Healthcare, Smart Cities, Manufacturing and Electronics
  • James Jamison III

    • North America Technical Brand Evangelist, Industry Solutions - IBM Distinguished Engineer
  • Leslie Plant

    • External Communications, IBM Sales and Distribution
  • Jing Shyr

    • Chief Statistician, Distinguished Engineer - Predictive Analytics
  • Lav Varshney

    • Research Scientist, IBM Research