eapl: 16th conference of the European Association of Psychology and Law
       
Tuesday
27th June 2006

Workshops
   
       
Each workshop is an all day event.
     
       
Workshop 1 Professor David Canter & Laura Hammond

The Centre for Investigative Psychology
Dragnet:
A geographical profiling tool
 
 
Dragnet is a geographical prioritization package, designed by Professor David Canter in 1995 and developed through various stages over the past decade at the Centre of Investigative Psychology at the University of Liverpool. The software was produced by Malcom Huntley under contract to the Centre.

Dragnet is based on a large body of empirical research into the spatial behaviour of offending populations. Using a series of crime locations, the system will prioritise the surrounding area in order to indicate the region or regions in which the home or base of the perpetrator of that series would be most likely to be located.

The software has many values and benefits:
  • It is highly appropriate and useful as an operational tool for police and law enforcement agencies
    • helps to refine and narrow the search for an offender
    • reduces the costs and efforts required to search an area to locate their residence
  • It is also a highly flexible and valuable research tool
    • allows the user to explore patterns and trends in the spatial behaviour of offending populations and data on the journey to crime
    • enables the impact of various factors on the efficiency and accuracy of the geographical profiling process to be assessed
    • the parameters and boundaries within which the system models geographical activity can be defined and adjusted as necessary
Combined with local knowledge and crime scene information, the system provides a very powerful investigative support tool.

The aim of the workshop is to provide participants with a full introduction to the system and to enable them to gain a thorough understanding of how the programme works.

Topics covered will include;
  • what the system is and what it can be used for
  • how the system generates prioritized maps of the area over which a series of crimes or events has occurred
  • interpreting and utilizing the results of Dragnet analyses
  • preparing and loading data
  • the effectiveness of the system and the ‘Search Cost Function’
Full training in the utilization and application of the system will be given, using actual cases as examples of the software in use. Participants will have the opportunity to have a go and test the system for themselves, with experts on-hand to guide them through the various steps and procedures required for running Dragnet analyses. Attendees are even invited to bring their own data, crime-based or otherwise, to explore as part of their training. This can be in the form of co-ordinates or points on a map, and instructors will be more than happy to assist you in creating your own prioritized probability maps!

No previous experience of geographical profiling systems is required to attend the workshop, as the training will be pitched at a level which will suit those from a wide range of backgrounds and with skills and abilities of all levels.

Those taking part in the workshop will leave the training possessing the knowledge and understanding needed to work with the Dragnet system and to use it as both a research tool as well as an investigative aid.

They will:
  • have a thorough comprehension of the principles and research upon which the programme is based
  • be proficient using all of the key options and functions within the software in order to achieve the best possible results when using the system.
Those attending will be presented with a version of the Dragnet software that they can take home with them. The newly published ‘Dragnet User Manual’ will also be made available, at a specially reduced price for participants, as will David Canter’s ‘Mapping Murder’ (published by Virgin Books- ISBN: 0-7535-0926-1).

Please note each workshop costs an additional £100 to the standard registration fee.
       
       
     

                                     
 
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