The Los Angeles Predictive Policing Experiment. Charlie Beck, Chief of Police Los Angeles Police Department

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Transcription:

The Los Angeles Predictive Policing Experiment Charlie Beck, Chief of Police Los Angeles Police Department

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Predictive Policing Time Horizon Frequency of Statistical Review 1990 Annually 1995 Monthly 2000 Near Real Time 2005 Real Time 2010 Forecasting 5

6 Predictive Policing, Our Definition A place-based approach to crime analysis that utilizes algorithm-driven crime forecasts to inform decision making to prevent crime Not individual-based Not arrest-based Risk-based Deployment of patrol resources Builds on community policing Builds on Hot Spots Offers more specificity Sets us up for better long term strategic analysis

How is this different? Evidence-based rather than heuristic Forecasting versus Retrospective Compstat Look Reduces tendency to chase the dots Offers more specificity in time and space Should eliminate biases (arrests are not used) Leverages existing real-time data Not a massive multivariate model Uses Date, Time, Place and Type of crime Allows cops to problem solve in right place at right time Dosage findings should increase efficiency 7

The Los Angeles Predictive Policing Experiment Questions to be answered 8

Questions to be answered Is it possible to predict crime? If we predict it, can we prevent it? If we prevent it, how can we measure that? 9

Jeff Brantingham UCLA Anthropology George Mohler Santa Clara Mathematics George Tita UCI Criminology, Law and Society 10

probability p(τ) Repeat Victimization 0.006 0.005 0.004 repeat crime is much more likely to happen in a short interval of time after the first event 0.003 0.002 0.001 0 0 50 100 150 200 250 300 350 400 days between repeat crimes (τ) 11

Research Design: The LAPD Experiment Rigorous examination of both forecasting value and of dosage Careful design of experiment is crucial to determine if Predictive Policing works Several designs possible, but only one randomization represents the gold standard of scientific design 12

Daily Randomization Foothill Division serves as both the treatment and control area (seamless to the subjects) On random treatment days, the daily mission is determined by the Predictive Policing model; otherwise, mission is determined using existing methodology Experiment will run for a minimum of 6 months and evaluate whether total crimes lower on days when Predictive Policing model used 13

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15 Foothill Patrol Area

Forecasting Tool Interface v 1.0 16

17 Daily Forecast Map

Close-up View of Mission Boxes Pierce St and Borden Ave RD1613 Carl St between Borden & Chivers Ave RD 1613 18

October 19, 2011: Training on production of forecasts and methodology begins November 6, 2011: Three month randomized study begins March 2012: Evaluation results The Timeline Continued iterative process to test both the algorithm as well as the dosage and interventions. 20

Initial Observations Bottomline: How accurate are the forecasts? Versus random and versus state of the art How effective in crime fighting Crime numbers time series Dosage discussion Weekend vs. weekday finding Ease of use improvements 4 times per day by watch Roll out plans 21

Preliminary results soft numbers pending completion of statistical study focusing on weekdays only accuracy of PredPol algorithm vs. best-practice PredPol vs. independent control group: 10.6% vs. 9.8% PredPol applied to control group: 11.4% vs. 9.8% PredPol is 8-16% more accurate compared to best practice 22

23 Predictive Policing is promising in historical data analysis

2011 2010 Crime Numbers (Burg, BFMV & GTA) 80 Test Period Weeks 1 thru 5-2010 v. 2011 70 60 50 40 66 43 60 40 65 67 51 2010 avg.= 60 2011 avg.= 50 40 42 37 30 20 10 0 24 week 1 week 2 week 3 week 4 week 5 Test Period 2010 avg.= 60 Test Period 2011 avg.= 42

Securing Buy-In from Patrol Get Creative 25

Patrol Activity (addressing forecasted mission areas) 140 Test Period Weeks 1 thru 5 120 = Hours in the Box per Week 120 100 = Checks per Week 96 80 72 Occupy LA 60 40 20 18 40 27 47 18 51 42 0 1 2 3 4 5 26 Avg Hours in the Box per Week = 35 hrs Avg Checks per Week = 71 checks

New Version of Software Weekend vs. weekday finding Ease of use improvements 4 times per day by watch Roll out plans 28

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The Los Angeles Predictive Policing Experiment Charlie Beck, Chief of Police Los Angeles Police Department

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Foothill dosage evidence: Number of Unique Boxes Patrolled 1SD mean 1SD 34

1SD mean 1SD 35

1SD mean 1SD 36

Santa Cruz Very basic crime analysis prior to Predictive Policing Updated daily, the prediction maps identify boxes to be patrolled when free Promising results, but limited ability to do careful evaluation is this because Santa Cruz is now doing crime analysis where before they were not? no controlled comparisons 41

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