References
Chin, J. M. & Ibaviosa, C. M. (2022) ‘Beyond CSI: calibrating public beliefs about the reliability of forensic science through openness and transparency’, Science and Justice, 62(3), pp. 216–224.
Crown Prosecution Service (2024) Expert Evidence. Available at: https://www.cps.gov.uk/legal-guidance/expert-evidence
Dror, I. E., Peron, A., Hind, S., & Charlton, D. (2006) ‘When emotions get the better of us: The effect of contextual top-down processing on matching fingerprints’, Forensic Science International, 11(1), pp. 310–313.
Hargreaves, C., & Patterson, J. (2012) ‘An automated timeline reconstruction approach for digital forensic investigations’, Digital Investigation, 9, S69–S79.
Home Office (2023) Forensic information databases annual report 2022–2023.
House of Lords (2019) Forensic science and the criminal justice system: A blueprint for change. Available at: https://publications.parliament.uk/pa/ld201719/ldselect/ldsctech/333/333.pdf
Jhalani, S., Morgan, R. M., Shooter, A., Cassella, J. & Pintér, J. (2025) ‘The development of Forensic Science in the criminal justice system of England and Wales (2000–2024): A systematic review’, Forensic Science International: Synergy, 11, 100641, ISSN 2589-871X. DOI: https://doi.org/10.1016/j.fsisyn.2025.100641.
Kassin, S. M., Dror, I. E., & Kukucka, J. (2013) ‘The forensic confirmation bias: Problems, perspectives, and proposed solutions’, Journal of Applied Research in Memory and Cognition, 2(1), pp. 42–52.
Mayer, R. C., Davis, J. H., & Schoorman, D. (1995) ‘An integrative model of organizational trust’, Academy of Management Review, 20, pp. 709–734.
McCarthy Wilcox, A., & NicDaeid, N. (2018) ‘Jurors’ perceptions of forensic science expert witnesses: Experience, qualifications, testimony style and credibility’, Forensic Science International, 291, pp. 100–108.
Mingboyeva, M. (2026) ‘Cognitive biases and their impact on decision-making under uncertainty’, International Multidisciplinary Science Conference, 1(5), pp. 25–30. DOI: https://doi.org/10.5281/zenodo.20043464
Peña, M. M., Stoiloff, S., Sparacino, M., & Schreiber Compo, N. (2024) ‘The effects of cognitive bias, examiner expertise, and stimulus material on forensic evidence analysis’, Journal of Forensic Sciences.
Quigley-McBride, A., & Blackall, T. L. (2025) ‘On the continuum of foundational validity: Lessons from eyewitness science for latent fingerprint examination’, Behavioral Sciences.
Redgrave, H., & Rolfe, M. (2023) Rebuilding trust and delivering safer communities: A plan for reforming UK policing. Tony Blair Institute for Global Change. Available at: https://institute.global/insights/public-services/rebuilding-trust-and-delivering-safer-communities-plan-for-reforming-uk-policing
Rosenblum, M., Chin, E. T., Ogburn, E. L., et al. (2024) ‘Misuse of statistical method results in highly biased interpretation of forensic evidence’, Law, Probability and Risk.
Roux, C., Bucht, R., Crispino, F., De Forest, P., Lennard, C., Margot, P., Miranda, M. D., NicDaeid, N., Ribaux, O., Ross, A., & Willis, S. (2022) The Sydney declaration: Revisiting the essence of forensic science through its fundamental principles. Forensic Science International, 332, 111182. DOI: https://doi.org/10.1016/j.forsciint.2022.111182
Schneider, J., Wolf, J., & Freiling, F. (2020) ‘Tampering with digital evidence is hard: The case of main memory images’, Forensic Science International: Digital Investigation, 33, 300924. DOI: https://doi.org/10.1016/j.fsidi.2020.300924
Shen, M., & Vieira, D. N. (2016) ‘Forensic science: Defending justice’, Forensic Science Research, 1(1), pp. 1–2.
Simpson, R., & Pappas, L. N. (2024) ‘Public perceptions of courts and cooperation with police’, Crime Science, 13(9). DOI: https://doi.org/10.1186/s40163-024-00207-9
Yeboah-Ofori, A., & Brown, A. D. (2020) ‘Digital forensics investigation jurisprudence: Issues of admissibility of digital evidence’, Journal of Forensic, Legal & Investigative Sciences, 6(1), pp. 1–8.