Publications

AI and the criminal case procedure - How big is the black box?

Moa Lidén. (2025). AI och brottmålsprocessen – Hur stor är ”the black box” egentligen?. Ny Juridik, 4:24, pp. 87-103.

Child Interviews

Ann-Christin Cederborg. (2024). Barnintervjuer. Studentlitteratur: Printing house Country.

AI and Machine Learning in Forensic Anthropology

Spiros, M. C., & Nakhaeizadeh, S. (2024). We Think There’s Been a Glitch: Artificial Intelligence and Machine Learning in Forensic Anthropology. Forensic Anthropology, 7(2–3), 164-176.

Cognitive Bias in Forensic Anthropology

Leung, K. N., Nakhaeizadeh, S., & Morgan, R. M. (2024). A global survey of the attitudes and perspectives of cognitive bias in forensic anthropology. Science & Justice, 64(4), 347-359.

Analysis of Age Invariant Face Recognition Efficiency using Face Feature Vectors

Anders Hast, Yijie Zhou, Congting Lai and Ivar Blohm. Analysis of Age Invariant Face Recognition Efficiency using Face Feature Vectors. ROBOVIS 2024, held in conjunction with ICAART 2024, ICPRAM 2024 and VISIGRAPP 2024. Rome, Italy. pp 47-65, 2024.

Human behavior in the context of low-probability high-impact events

Joakim Sundh. (2024). Human behavior in the context of low-probability high-impact events. Humanities and Social Sciences Communications, 11(1), 1-10.

Tool Induced Biases? Misleading Data Presentation as a Biasing Source in Digital Forensic Analysis

Andersen, D. B., Sunde, N. & Porter, K. (2024). Tool Induced Biases? Misleading Data Presentation as a Biasing Source in Digital Forensic Analysis. Forensic Science International: Digital Investigation, 52, 301881

The Time Variable in Relation to Insider Witnesses: Quantitative and Qualitative Analysis of International Criminal Court Cases

Moa Lidén (2024) "The Time Variable in Relation to Insider Witnesses: Quantitative and Qualitative Analysis of International Criminal Court Cases" (legal-tools.org). The chapter was published in the book "Old Evidence and Core International Crimes", by the editors Morten Bergsmo, Cheah Wui Ling & Antonio Angotti.

In investigations and proceedings regarding core international crimes, insider witnesses are usually key evidence. This article examines possible explanations and implications of inconsistencies in insider witness testimony, which is not uncommon given e.g the prolonged time period during that such crimes are investigated and litigated.

DNA from Forensic Evidence Objects Retrieved from Lake Water

Muhammad Shahzad, Hanne De Maeyer, Ghassan Ali Salih, Martina Nilsson, Anastasia Haratourian, Muhammad Shafique, Ahmad Ali Shahid, Marie Allen (2024). DNA from Forensic Evidence Objects Retrieved from Lake Water, National Library of Medicine

Can criminal justice be predicted? 100 % of decisions on petitions for new criminal trials were accurately predicted

Moa Lidén (2023). Can criminal justice be predicted? Using regression analysis to predict judges’ decisions on petitions for new criminal trials, in Science & Justice

Complete Mitochondrial DNA Genome Variation in the Swedish Population

Sturk-Andreaggi K, Bodner M, Ring JD, Ameur A, Gyllensten U, Parson W, Marshall C, Allen M. Complete Mitochondrial DNA Genome Variation in the Swedish Population. Genes. 2023; 14(11):1989..

Analysis of small and complex DNA samples and inconsistencies in suspects’ statement over time. ”An evidence-based criminal case procedure? -Lessons from the Husum murder".

Moa Lidén and Marie Allen (2023). En evidensbaserad brottmålsprocess? Lärdomar från Mordet i Husum in Juridisk Tidskrift (in Swedish)

How can tunnel vision (so-called confirmation bias) manifest in criminal cases and are there function mitigation techniques?

Moa Lidén (2023). Confirmation Bias in Criminal Cases. New book published by Oxford University Press.

Criminal investigations without a suspect – How biological markers can be used to predict sex, age, height, BMI and much more.

Mònica Ortega Llobet, Åsa Johansson, Ulf Gyllensten, Marie Allen, Stefan Enroth. (2023). "Forensic prediction of sex, age, height, body mass index, hip-to-waist ratio, smoking status and lipid lowering drugs using epigenetic markers and plasma proteins" Forensic Science International: Genetics Volume 65

Crime scene investigations – How do crime scene investigators decide where to secure blood traces?

Moa Lidén, Mohammed A. Almazrouei (2023). “Blood, Bucks and Bias”: Reliability and biasability of crime scene investigators’ selection and prioritization of blood traces. Science & Justice Volume 63, Issue 2, March 2023, Pages 276-293

Forensic Anthropology – How CT images and machine learning can be used in forensic anthropology

Martin Lo, Enrico Mariconti, Sherry Nakhaeizadeh, Ruth M. Morgan. (2023). Preparing computed tomography images for machine learning in forensic and virtual anthropology. Forensic Science International: Synergy Volume 6, 2023

The DNA-Buster: The evaluation of an alternative DNA recovery approach

Jonathan Währer, Sabrina Kehm, Marie Allen, Linnéa Brauer, Oliver Eidam, Ilona Seiberle, Sarah Kron, Eva Scheurer, Iris Schulz, The DNA‐Buster: The evaluation of an alternative DNA recovery approach. Forensic Science International: Genetics, Volume 64, 202

Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers.

Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers. A. Hast. Advanced Concepts for Intelligent Vision Systems. In: Blanc-Talon, J., Delmas, P., Philips, W., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2023. Lecture Notes in Computer Science, vol 14124. Springer, Cham. . Presented at ACIVS2023, Kumamoto Japan, Accepted full paper. pp 88-99. 2023.

Sex Classification of Face Images using Embedded Prototype Subspace Classifiers.

Sex Classification of Face Images using Embedded Prototype Subspace Classifiers. A. Hast. Proceedings of the 31th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision WSCG 2023, Plzen, Czech Republic, May 15 – 19. Full paper. pp. 43-52. 2023.

Consensus Ranking for Efficient Face Image Retrieval: A Novel Method for Maximising Precision and Recall.

Consensus Ranking for Efficient Face Image Retrieval: A Novel Method for Maximising Precision and Recall. A. Hast. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing – ICIAP 2023. ICIAP 2023. Lecture Notes in Computer Science, vol 14233. Springer, Cham.
Presented at the 22nd International Conference on Image Analysis and Processing. Udine, Italy. pp. 159-170. 2023.

A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean–variance signature

Sundh, J., Zhu, J. Q., Chater, N., & Sanborn, A. (2023). A unified explanation of variability and bias in human probability judgments: How computational noise explains the mean–variance signature. Journal of Experimental Psychology: General, 152(10), 2842.

Precise/not precise (PNP): A Brunswikian model that uses judgment error distributions to identify cognitive processes

Sundh, J., Collsiöö, A., Millroth, P., & Juslin, P. (2021). Precise/not precise (PNP): A Brunswikian model that uses judgment error distributions to identify cognitive processes. Psychonomic Bulletin & Review, 28, 351-373.