
Research Partnerships
Advancing risk management theory and practice through collaborative research and shared innovation.
Our Research Philosophy
The most significant advances in risk management emerge at the intersection of different disciplines. We believe in open collaboration, shared discovery, and practical application of research insights.
We share our methodologies, findings, and tools openly. Good ideas spread faster when they're accessible, and collaboration improves them.
Research should solve real problems. We prioritise work that can be implemented and tested in practice, not just discussed in theory.
Risk management benefits from insights across disciplines - from complexity science to psychology, from network theory to organisational behaviour.
Current Research Areas
Developing practical applications of Bayesian networks and MCMC simulation for complex risk environments where traditional approaches fail.
Current Questions:
- How do we communicate uncertainty effectively to decision-makers?
- What network structures best capture different types of risk relationships?
- How can organisations update their risk models as new information emerges?
Research into practical frameworks for assessing and enhancing organisational antifragility across different contexts and scales.
Current Questions:
- Which organisational characteristics predict antifragile responses?
- How do we measure improvement through disorder objectively?
- What interventions most effectively enhance antifragility?
Investigating methods for identifying novel risks before they fully manifest, using weak signal detection and pattern recognition approaches.
Current Questions:
- What patterns precede the emergence of new risk categories?
- How can organisations balance sensitivity with false positive rates?
- Which data sources provide the most valuable early indicators?
Understanding how to communicate complex risk insights effectively to different stakeholder groups, from technical teams to executive leadership.
Current Questions:
- How do we convey uncertainty without creating paralysis?
- What visualisation approaches best support risk-informed decisions?
- How can we improve risk intuition in non-technical stakeholders?
Partnership Opportunities
Joint research projects with academic institutions, combining theoretical rigour with practical application.
- PhD supervision and mentoring
- Joint publication opportunities
- Conference presentations
- Research funding applications
Collaborative studies with practitioners to understand real-world challenges and test theoretical approaches.
- Field studies and case research
- Method validation projects
- Best practice development
- Implementation research
Collaborative development of open-source tools and frameworks for advanced risk management.
- Software development partnerships
- UX/UI research and design
- Beta testing and feedback
- Documentation and training
Collaborative efforts to share research findings and practical insights with the broader risk management community.
- Joint publications and articles
- Workshop and seminar series
- Webinar collaborations
- Community building initiatives
Research Prototypes Available for Study
We've developed working prototypes that embody our research insights. These are available for collaborative research, validation studies, and further development.
Interactive dashboard implementing Bayesian networks with MCMC simulation for complex risk assessment scenarios.
Research Opportunities:
- User experience and interpretation studies
- Decision-making impact assessment
- Network structure optimisation research
- Computational performance analysis
Comprehensive assessment frameworks for measuring and enhancing organisational antifragility across multiple dimensions.
Research Opportunities:
- Validation studies across different sectors
- Longitudinal antifragility tracking
- Intervention effectiveness research
- Cultural adaptation studies
What We Offer Research Partners
Resources & Access
Working Prototypes
Access to our developed tools for research and validation studies.
Technical Expertise
Deep knowledge of probabilistic methods, risk theory, and practical implementation.
Industry Connections
Network of practitioners for real-world validation and case studies.
Publication Support
Collaborative writing, peer review, and dissemination of research findings.
What We Seek
Complementary Expertise
Skills and perspectives that enhance our research capabilities.
Intellectual Curiosity
Genuine interest in advancing risk management theory and practice.
Collaborative Mindset
Commitment to open research and shared knowledge creation.
Applied Focus
Interest in research that can be implemented and tested in practice.
Start a Research Collaboration
Interested in collaborative research? Let's discuss how we might work together to advance risk management theory and practice.