Core Functionality of iOPS Developed with the Metropolitan Police Service. (New Scotland Yard)
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Transcript of Core Functionality of iOPS Developed with the Metropolitan Police Service. (New Scotland Yard)
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Core Functionality of iOPS
Developed with the Metropolitan Police Service.(New Scotland Yard)
Freya Newman, MSc
Centre for Investigative Psychology
The University of Liverpool, UK
www.i-psy.com
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Comparative Case Analysis
Q1: Can I link undetected crimes together?
Q2: I have an offender with a particular offending style. What other crimes is he good for?
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Q1: Can I link undetected crimes to a common offender?
Burglaries
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Structural Analysis of Behaviours
Posed (42)
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Behavioural similarity of crimes
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Identify crime series
All the same offender
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Q2: I have an offender with a particular offending style. What other crimes is he/she good for?
Burglaries
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Posed & distraction?
Burglaries
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Posed & distraction
Crime series
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Suspect Prioritisation Who dunnit?
Geography AND Behaviour to prioritise suspects
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Geography Prioritises offenders by the location of
their (home) base(s) iOPS does this with Dragnet
Geographical ‘profiling’ system Developed at CIP Integrated within iOPS
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Principles of Dragnet Offenders tend commit crimes close to
home As distance from home to crime
increases Probability of committing the crime decreases
Distance decay
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Source, Professor Canter, iOPS presentation, September 2004
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Our Example
Known offenders?
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Our exampleX = Prioritised offenders
= Known offenders= Crimes in series
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Offender ID Address Probability
MO Match
124 Location A 0.28574311864 0
427 Location B 0.27038233898 0
427 Location C 0.26035169492 0
226 Location D 0.25577861017 0
48 Location E 0.23282991525 0
124 Location F 0.22445984746 0.3
124 Location G 0.21932662712 0
Prioritisation table
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Our exampleX = Prioritised offenders
= Known offenders= Crimes in series
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MO Matching
Behaviours in crimes
Behaviours of known offenders
climb sharp smoke defecate
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Offender ID Address Probability
MO Match
124 Location A 0.28574311864 0
427 Location B 0.27038233898 0
427 Location C 0.26035169492 0
226 Location D 0.25577861017 0
48 Location E 0.23282991525 0
124 Location F 0.22445984746 0.3
124 Location G 0.21932662712 0
Prioritisation table
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Social Network Analysis
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Offender ID Address Probability MO Match124 Location A 0.28574311864 0427 Location B 0.27038233898 0427 Location C 0.26035169492 0226 Location D 0.25577861017 048 Location E 0.23282991525 0124 Location F 0.22445984746 0.3124 Location G 0.21932662712 0