Notice Details

Historically, data produced by separate, siloed sources in NYC’s criminal justice system has been used to inform decisions made across the public safety spectrum. Unpacking those data feeds to understand how they relate to each other is quite labor intensive, and without standardization across data sources, identifying trends and making resource investment decisions has been challenging to accomplish with precision. As the Department of Correction (DOC), the Office of Court Administration (OCA), Criminal Justice Agency (CJA), among others, have made significant investments in improving their data capacity, they have remained siloed sources of information, which in turn, limits the ability to use their data effectively. The 2020 legislative reforms to the New York State Criminal Procedure Law (CPL), however, significantly altered NYC’s criminal justice landscape and thereby increased the urgency of developing a cohesive data infrastructure. MOCJ seeks to facilitate the enhancement, integration, and standardization for NYC justice data. This infrastructure build-out will not only provide the offices better information with respect to case processing, justice programs, jail population, and other key public safety infrastructure, but will also provide greater insight into the state of the criminal justice system as a whole by allowing for easier analysis of data.

To build out a data infrastructure, MOCJ seeks to contract with Luminosity because it is the only source for the infrastructure needed in the timeframe it must be executed unless a provider can show they have the capabilities to do so. Luminosity is uniquely situated to build out this much needed public safety data infrastructure because of their familiarity with the data collected by the City, and used by MOCJ and other City justice agencies for the past seven years. As a subcontractor to MOCJ’s contract with the Criminal Justice Agency (CJA), Luminosity’s data analysts have worked with NYPD, DOC, and MOCJ programmatic data, and have a strong command of the programming and requirements underpinning that data collection and infrastructure, which they helped build. Over the past 7 years, Luminosity has developed a detailed data cleaning and optimization database model for NYC-specific data streams. This was generated through the successful completion of three distinct pretrial database projects in NYC, including MOCJ, the Bronx District Attorney’s Office, and CJA. MOCJ’s project involved working in the City’s AWS data warehouse to integrate court and pretrial services data, generate 198 pretrial metrics, and create internal facing dashboards using Tableau (MOCJ’s preferred visualization software). Further, Luminosity uses its proprietary tool, Savant-Justice System Data Fusion, to develop the infrastructure for the DAs MOCJ seeks to build-out. Savant-Justice System Data Fusion is a tool that has been revised and optimized over the past five years, and that Luminosity has used to develop a data model that generates key pretrial performance metrics. This model has been created to evaluate NY State’s 2020 criminal justice reform, which significantly changed the public safety landscape in New York City. These systems took years and many iterations to develop and cannot be replicated by another vendor in the timeframe in which MOCJ needs to build out this essential data infrastructure. Services Sought For these reasons, MOCJ seeks to contract Luminosity for the following services: 1. Develop a data infrastructure that tracks a standardized set of metrics for quality assurance, data integration, and policy coordination at MOCJ and available as needed for adaptation and integration to coordinating agencies; 2. Create a data warehouse of data feeds across the public safety spectrum, including the DAs, OCA, NYPD, DOC, MOCJ pretrial, ATI, and reentry as the next iteration of the existing infrastructure currently siloed at respective sources; 3. Standardize and clean data (e.g., remove redundant or superfluous files); 4. Define terms and metrics for the evaluation of data and analysis; and 5. Produce data models and dashboards in a timely and uniform fashion for easier consumption and evaluation by decision-makers.