U.S. flag
      An official website of the United States government, Department of Justice.
        Here's how you know
      Here's how you know**Official websites use .gov**
            
            A **.gov** website belongs to an official government organization in the United States.
      **Secure .gov websites use HTTPS**
            
            A **lock** (
            A locked padlock
            ) or **https://** means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites. Menu

      
        close

            
            
                                              About NIJ
        
                    
  
          About NIJ
      
    
          The NIJ Director
          How NIJ Is Organized
          Mission and Guiding Principles
          Research and Development Process
          Strategic Framework
          Assessments of NIJ
          Annual Reports & Reports to Congress
          Staff Directory
          Funding & Awards
        
                    
  
          Funding & Awards
      
    
          Current Funding
          Forthcoming Funding
          Expired Funding
          Awards: Listing of Funded Projects
          Guidance for Applicants and Awardees
          Fellowship & Student Programs
          Travel Scholarships
          NIJ Challenge Program
          Library & Multimedia
        
                    
  
          Library & Multimedia
      
    
          NIJ Journal
          Podcasts
          Publications Listing
          Multimedia Listing
          Rated Practices on CrimeSolutions
          Rated Programs on CrimeSolutions
          Software & Databases
          Datasets
          Patents
          Topics
        
                    
  
          Topics
      
    
          Article Listing
          Corrections
          Courts
          Crime Prevention
          Crimes
          Drugs and Crime
          Equipment and Technology
          Forensic Sciences
          Youth Justice
          Justice System Reform
          Law Enforcement
          Tribal Crime and Justice
          Victims of Crime
          Events
        
                    
  
          Events
      
    
          NIJ 2024 Research Conference
          Scheduled Events
          On-Demand Events
          Research Meetings & Workshops
          NIJ-Hosted Online Training

                            
                                About
          Contact Us
          Subscribe
          Topics A-Z
                  Share
FacebookXLinkedInRedditPinterestEmail Home
                            Funding & Awards
 CPD FY2014 Optimizing the Use of Video Technology to Improve Criminal Justice Outcomes
Note:
              This awardee has received supplemental funding. This award detail page includes information about both the original award and supplemental awards.
Award Information
Awardee
              Chicago, City of
Award #
              2014-R2-CX-K002
Funding Category
              Competitive
Location
                    Chicago, IL
Congressional District
              1
Status
              Closed
Funding First Awarded
              2014
Total funding (to date)
              $1,070,179
Original Solicitation
              NIJ FY 14 Optimizing the Use of Video Technology to Improve Criminal Justice Outcomes
Description of original award (Fiscal Year 2014, $528,957)
This award was competitively made in response to a proposal submitted by the City of Chicago to a National Institute of Justice FY 2014 solicitation, "Optimizing the Use of Video Technology to Improve Criminal Justice Outcomes." Chicago proposes to undertake a comprehensive, quantitative, and data-driven optimization of key aspects of video technology and its use in policing. The project will leverage Chicago's vast video surveillance network, noted as the largest such integrated platform in the United States, and its data clearinghouse CLEAR system. The proposed project incorporates a unique and emerging policing strategy known as predictive policing, which constitutes the application of data analytics to police resource allocation and management. Through this established predictive capability, the proposed study seeks to identify data-driven locations for camera resources to reduce crime. Chicago proposes to develop approaches to systematically optimize three major design elements: (1) camera placement and density, (2) camera monitoring, and (3) the use of video analytics. The first will use retrospective statistical and machine-learning analyses of CPD's camera installation and crime data to measure the effect on crime of camera location and density to develop an optimum strategy for placing cameras.  The second will statistically optimize the way in which cameras are monitored using prediction models to determine which cameras should be watched at which times for maximum benefit.  The third will involve a Request for Demonstrations to quantitatively evaluate commercial video analytics tools to determine the statistical performance of various analytics paradigms in real-world application. The proposed project utilizes both retrospective and prospective experimental designs.  The retrospective method is to mine data from Chicago's noteworthy CLEAR system and explore pre/post impacts of camera installation into different areas. The prospective method is to identify areas where mobile cameras (PODS) can be deployed to reduce crime. This deployment will be data-driven and conducted on a real-time/ass-needed basis depending on crime dynamics. Differences pre/post treatment will be determined through econometric modeling.  Chicago also proposes to develop a database of video sequences for use in training officers to monitor cameras and perform statistical evaluations, and to develop future enhancements to video analytics technology.  This project will be funded incrementally, with the effort funded in FY14 representing the first phase. ca/ncf
Supplemental Award 1 (Fiscal Year 2015, $541,222)
The initial award was competitively made in response to a proposal submitted by the City of Chicago to a National Institute of Justice FY 2014 solicitation, Optimizing the Use of Video Technology to Improve Criminal Justice Outcomes. Chicago proposes to undertake a comprehensive, quantitative, and data-driven optimization of key aspects of video technology and its use in policing. The project will leverage Chicagos vast video surveillance network, noted as the largest such integrated platform in the United States, and its data clearinghouse CLEAR system. The proposed project incorporates a unique and emerging policing strategy known as predictive policing, which constitutes the application of data analytics to police resource allocation and management. Through this established predictive capability, the proposed study seeks to identify data-driven locations for camera resources to reduce crime. Chicago proposes to develop approaches to systematically optimize three major design elements: (1) camera placement and density, (2) camera monitoring, and (3) the use of video analytics. The first will use retrospective statistical and machine-learning analyses of CPDs camera installation and crime data to measure the effect on crime of camera location and density to develop an optimum strategy for placing cameras.  The second will statistically optimize the way in which cameras are monitored using prediction models to determine which cameras should be watched at which times for maximum benefit.  The third will involve a Request for Demonstrations to quantitatively evaluate commercial video analytics tools to determine the statistical performance of various analytics paradigms in real-world application. The proposed project utilizes both retrospective and prospective experimental designs.  The retrospective method is to mine data from Chicagos noteworthy CLEAR system and explore pre/post impacts of camera installation into different areas. The prospective method is to identify areas where mobile cameras (PODS) can be deployed to reduce crime. This deployment will be data-driven and conducted on a real-time/as-needed basis depending on crime dynamics. Differences pre/post treatment will be determined through econometric modeling.  Chicago also proposes to develop a database of video sequences for use in training officers to monitor cameras and perform statistical evaluations, and to develop future enhancements to video analytics technology.  At the time of the initial award, the decision was made to fund this effort incrementally.  This is funding for the 2nd phase of the project, and is the first supplement for this award.
This project contains a research and/or development component, as defined in applicable law.
nca/ncf


  
Grant-Funded Publications
        
                      Machine Learning Methods for Predicting Global and Local Crime in an Urban Area

  
Date Created: September 14, 2014
    
          Side navigation
  

        

  
  
              Current Funding
    
      
            
            
            
      Forthcoming Funding
    
      
            
            
            
      Expired Funding
    
      
            
            
            
      Awards: Listing of Funded Projects
    
      
            
            
            
      Guidance for Applicants and Awardees
    
      
            
            
            
      Fellowship & Student Programs
    
      
            
            
            
      Travel Scholarships
    
      
            
            
            
      NIJ Challenge ProgramSimilar Awards
        
                      A Whole Community Approach to Hate Crime Reduction: Research to Improve Prevention, Reporting, and Victim Support
                  Accuracy, Efficacy, and Reproducibility of Muzzle-to-Target Distance Determination using Gunshot Residue
                  Comprehensive Evaluation of Kinetic and Thermodynamic Approaches to Predict Evaporation of Ignitable Liquids for Fire Debris Applications
 Top

      National Institute of Justice

        
        
                        About NIJ
                    About NIJ
      
    
                  How NIJ Is Organized
      
    
                  NIJ Director
      
    
                  Research Disclaimer
      
    
                  Funding & Awards
                    Funding & Awards Home
      
    
                  Awards Listing
      
    
                  Current Funding
      
    
                  Guidance for Applicants and Awardees
      
    
                  Resources
                    Events
      
    
                  Podcasts
      
    
                  Publications
      
    
                  Topics
      
    
                  Multimedia
      
    
                  Reuse Policy
      
    
                  Contacts
                    Contact NIJ
      
    
                  Staff Directory
      
    
                  Submit a FOIA Request
      
    
                  File a Civil Rights ComplaintFacebook
          
                      X
          
                      YouTube
  

      810 7th St. NW, Washington, D.C. 20531
      
              Secondary Footer link menu
            Accessibility
              Plain Language
              Privacy Policy
              Legal Policies and Disclaimer
              No FEAR Act
              Freedom of Information Act
              USA.gov
              Justice.gov