In order to take action on blighted properties, decision makers in Code Enforcement must be able to determine if a property should be demolished or proceed to a code lien foreclosure sales (Sheriff’s sale) where it can be sold to a third party for redevelopment. In order to make abatement decisions faster, more consistent, and more rigorous, OPA worked with Code Enforcement leadership to develop a decision tool utilizing methods employed by other machine learning recommender tools. Enigma provided valuable support on the project.
http://www.nola.gov/performance-and-accountability/nolalytics/
https://github.com/cno-opa/Abatement-Tool
In order to take action on blighted properties, decision makers in Code Enforcement must be able to determine if a property should be demolished or proceed to a code lien foreclosure sales (Sheriff’s sale) where it can be sold to a third party for redevelopment. In order to make abatement decisions faster, more consistent, and more rigorous, OPA worked with Code Enforcement leadership to develop a decision tool utilizing methods employed by other machine learning recommender tools. Enigma provided valuable support on the project.
http://www.nola.gov/performance-and-accountability/nolalytics/
https://github.com/cno-opa/Abatement-Tool