2012 MRes projects
- Twitter and Crime: The spatio-temporal link between social-media and criminal activity
- To what extent do water treatment processes affect the concentration of peroxide explosives in river water?
- Dual-band Frequency Reconfigurable Antennas
- Incorporating Nanostructures to Enhance the Performance of Semiconducting Metal
- A relevance study determining the use of GSR upon clothing and shoes as an item of evidence
- Automating the conceptual analysis of large-scale text-based subjective data sets
- Assessing the potential of e-noses for illicit drug detection in future drug-trafficking interdiction strategies
- Judgement in UK fingermark recovery: room for development?
- Modelling the allocation of crowd control resources
- Comparative study of the different feature extraction algorithms used for fingerprint identification
- Domain Adaptation of Statistical Classifiers for Security-related Bug Reports
- The detection of clandestine methamphetamine laboratories using semiconducting metal oxide gas sensors
- The evaluation of geochemical analysis methods for forensic provenance and interpretation
- Confirmation bias: A Study of biasability within Forensic anthropological visual assessments on skeletal remains
- Statistical change point detection of internet traffic
- Trace evidence dynamics: assessing the transfer and persistence of microbial diatom evidence in forensic investigation
- Data Communication for Underwater Sensor Networks
- Automated Cargo Inspection: Exploring the use of Machine Vision in X-ray Transmission Imaging
- Network Externalities and Migration: An Agent-Based Model Distinguishing Documented and Undocumented Flows
Modelling the allocation of crowd control resources
21 March 2013
The movement and behaviour of a rioting crowd is a complex phenomenon which is not yet fully understood. This problem is clearly of high importance, in particular when designing public order policing strategies. Since these events are rare and unpredictable, they cannot be studied experimentally. My research will look to create an agent based model that can be used as a virtual testing ground for policing strategies, with the aim of finding the optimal strategy with finite resources. The model will incorporate movement rules from well studied models of pedestrian dynamics, and will use recent research on the psychology of crowds. I am working with the College of Policing on this project.