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
Confirmation bias: A Study of biasability within Forensic anthropological visual assessments on skeletal remains
21 March 2013
The potential for bias in forensic science is increasingly being demonstrated, with recent studies on the issues around cognitive processes and biasability with a main focus on DNA, ballistics and fingerprints disciplines. The National Academy of Science NAS report, “A path forward” has highlighted this issue suggesting practitioners in disciplines working in the forensic sphere relying on human interpretation may be prone to error or bias. The report notes empirical research supports evidence of the effects in some disciplines, and research indicates that human error due to cognitive patterns can influence and cause forensic experts to lose their objectivity. In many disciplines such as Forensic anthropology the presence of bias, its impact, and how to mitigate its effects are still not fully assessed or appreciated, with limited research has been conducted to test the impartial judgment of the anthropologist within visual methodologies. The anthropological methods are acknowledged for being highly limited because of their subjective nature, hence for the area is in need for further research. How can we examine for bias in forensic biological anthropological profiling and thus avoid such errors that might arise from it?