Jim Smith

Jim Smith is a Professor in the Department of Statistics at the University of Warwick. He actively leads research initiatives in Bayesian statistics, decision theory, and causal modeling with applications to food security, forensic science, and public health. His work bridges theoretical advancements in graphical models with real-world implementations through collaborations with government agencies and industry partners.

• PhD in Statistics (University of Warwick)
• Research focus: Bayesian networks, chain event graphs, expert judgment elicitation, causal inference
• Key collaborations: Martine Barons, Manuelle Leonelli, Ann Nicholson

Research Interests
Smith's work centers on high-dimensional Bayesian decision analysis, causal discovery in dynamic systems, and integrating expert judgments into formal models. He has developed novel Chain Event Graphs for complex system modeling and focuses on applications in:

• Food security risk assessment
• Forensic evidence evaluation
• Counter-terrorism strategies
• Medical imaging analysis
• Crisis management
• Energy security

Recent Publications Trend
His recent work demonstrates increasing focus on adversarial risk analysis (2025), secure data modeling for law enforcement (2024), and methodological improvements in Bayesian networks (2023-2024). Key themes include:

• Polynomial regression-based moment propagation
• Multi-agent decision frameworks
• Dynamic graphical model extensions
• Causal analysis in security contexts
• Mathematical foundations of Bayesian graphs

Scientific Awards

• Fellow of the Alan Turing Institute (2017-2024)
• COST European Cooperation award for expert judgment research
• EPSRC-funded OxWaSP PhD training consortium co-director

Grants & Collaborations
Currently serving as PI in 6 Alan Turing Institute projects and CI on 7 others. Major grants include:

• European Food Standards Agency expert elicitation funding
• EPSRC OxWaSP initiative
• National Digital Twin Programme research
• Home Office policy evaluation projects

Labs & Teams
Co-leads a university research team studying cross-domain expert coherence. Member of the Food Global Research Priority team coordinating UK food security studies. Developed software tools in R/Python for Chain Event Graph analysis.