Community Asset Tracker: Artificial Intelligence and Data-Driven Decisions for Local Government

Summary

Project started on July 1, 2019 (Still Active)


Governments around the world are exploring data-driven and artificial intelligence (AI) enabled decision-making to produce more informed decisions, as well as deliver services at lower cost and with better quality to citizens.  Such capability can facilitate the design of more precise and targeted interventions, ensuring efficient resource allocation, and contributing to public service improvements. 

For many local governments, managing public assets often requires spending considerable time using manual processes to identify conditions that are not in compliance with established laws, such as building codes, zoning regulations, and health and safety standards. One example of a persistent and costly problem for local governments that could benefit from data-driven and AI-enabled strategies is the management of blighted and vacant properties. Blighted and vacant properties contribute to public health risks, crime, and reduced property values, all of which collectively affect the quality of life of residents. 

To help local governments improve their data-driven capabilities with a particular focus on managing public assets, the Center for Technology in Government at the University at Albany (CTG UAlbany) is working with the City of Schenectady in the capital region of New York on the development and testing of a low-cost mobile Internet of Things (IoT) sensor network and AI analysis system called the Community Asset Tracker (CAT). The CAT can fully automate and enhance the tracking of public assets and provide a near real-time identification of changes in or the condition of these assets based on a specific set of key indicators as determined by local governments. The analysis provided by the CAT to the local government supports quicker and better-informed short-term decision making and longer-term planning.  


Press Releases & News Stories


Publications & Results

Leon, Michelle. (2024). The Community Asset Tracker. [Poster Presentation]. Center for Technology in Government, University at Albany, State University of New York.


Partners

This project was led by the Center for Technology in Government (CTG UAlbany) in partnership with the City of Schenectady. 


Funding Sources

The SUNY Technology Accelerator Fund (TAF) is the primary source of funding to support innovation across the SUNY research community and to accelerate the commercialization of inventions. 

NVIDIA Applied Research Accelerator Program