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.
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