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
Network Externalities and Migration: An Agent-Based Model Distinguishing Documented and Undocumented Flows
20 May 2013
According to theory on migration networks, when the stock of migrants at destination reaches critical mass, it attracts future migrants by virtue of the positive network externalities it generates. These network externalities can take the form of monetary or employment search assistance or it may simply mean reducing information asymmetry through communication. At a micro level, networks facilitate the interaction individuals need to inform and finance their decision to migrate. At a macro-level, as the migrant network evolves and its density increases, it can either attract or repel future flows.
The theory can also be extended to make distinctions between legal and undocumented migration patterns. Migrating without documents involves putting oneself through a greater amount of personal danger for an unknown or possibly inexistent reward, than legal migrants. Hence, unauthorised migrants acting rationally will only leave the country when sufficient others have migrated, regardless of status, as they face higher risks and are more dependent on others for help. The theory will be tested using an agent-based simulation, allowing us to observe the emergent collective behaviour that underlies migration and the evolution of migrant networks through time. The result will be a simulation tool that can facilitate prediction of future incoming legal and unauthorised migration based on the characteristics of the migrant network existing on their side of the border.