Hybrid Simulation Modelling Lab

Health & Epidemiology

• Forecasting infectious disease spread (e.g., COVID-19, influenza).

• Evaluating vaccination strategies and public health interventions.

• Resource allocation (hospital beds, ventilators, staff).

• Understanding health behaviors and risk factors.

Environment & Climate

• Projecting climate change impacts at global and regional scales.

• Modeling air and water pollution dispersion.

• Ecosystem and biodiversity dynamics.

• Assessing adaptation and mitigation strategies.

Energy Systems

• Optimising renewable energy integration into power grids.

• Forecasting supply and demand under different scenarios.

• Modeling emissions and carbon reduction pathways.

• Evaluating resilience to shocks (blackouts, price spikes).

Food & Agriculture

• Crop yield forecasting under changing climate conditions.

• Spread of pests and plant diseases.

• Food supply chain resilience modeling.

• Sustainable farming and soil management strategies.

Urban Systems & Infrastructure

• Traffic and transport flow optimisation.

• Urban growth and land-use planning.

• Modeling water and waste systems for sustainability.

• Disaster risk reduction and emergency planning.

Security & Conflict

• Predicting migration flows due to instability or climate change.

• Modeling spread of misinformation or unrest in societies.

• Evaluating policy interventions for resilience and stability.

• Simulation of cyber or infrastructure vulnerabilities.

Economy & Finance

• Market dynamics under shocks (pandemics, inflation, crises).

• Policy simulations for taxation or welfare changes.

• Modeling global trade and supply chain risks.

• Evaluating long-term sustainability of investments.

Social & Behavioral Systems

• Modeling adoption of new technologies or policies.

• Network dynamics of cooperation and conflict.

• Spread of ideas, norms, and social behaviors.

• Participatory models for co-creating community solutions.

Domains & Applications

Professional Services

Interactive Dashboards

Our suite of interactive dashboards provides evidence-based insights to support planning, resource allocation, and operational decision-making across the health system. Each dashboard is designed to translate complex data into clear, actionable intelligence for practitioners, policymakers, and researchers..

Stakeholders Engagement

We believe that solutions are most effective when they are co-created with the people they affect. That’s why our lab invests in structured stakeholder engagement processes, ranging from consultations and co-design sessions to participatory approaches and group model building workshops. These methods allow stakeholders not only to share perspectives but also to collaboratively construct models of the systems they are part of. By making assumptions explicit and exploring scenarios together, participants develop a shared understanding of challenges and opportunities. This process builds trust, aligns priorities, and ensures that resulting policies and interventions are practical, inclusive, and sustainable.

Surveys & Polls

Our lab designs and administers surveys tailored to capture meaningful feedback from stakeholders, communities, and end-users. By carefully structuring questions and using both quantitative and qualitative approaches, we generate insights that go beyond surface-level opinions. This method allows us to ground our analysis in real-world perspectives and provide decision-makers with evidence they can trust.

System Dynamic Modelling

Complex challenges rarely have simple causes. Our lab uses system dynamic modelling to capture the interconnections, feedback loops, and time delays that shape outcomes in real systems. By creating dynamic simulations, we help decision-makers test scenarios, anticipate unintended consequences, and design strategies that stand the test of time. This approach is especially valuable for long-term planning and policy design.

Agent-Based Modelling

In many systems, the behavior of individuals adds up to surprising collective outcomes. We use agent-based modelling to simulate how different actors such as households, businesses, or organisations interact with one another and with their environment. This method allows us to identify patterns that are not visible from aggregate data alone, giving leaders insights into how small changes in behavior or policy can scale into meaningful impact.

Spatial Analysis

Place matters and our lab uses spatial analysis to understand how geography shapes outcomes. By combining geospatial data with advanced analytical techniques, we uncover relationships between location, behavior, and resources. These insights are particularly powerful for planning, resource allocation, and identifying regional disparities that might otherwise go unnoticed.

Statistical Analysis

We use statistical analysis as a cornerstone of our research, applying rigorous methods to extract clarity from complex datasets. From identifying patterns and relationships to quantifying uncertainty, our team ensures that conclusions are not only accurate but also actionable. This evidence-driven approach gives our partners confidence in the decisions they make based on our findings.

Discrete Event Simulation

Our lab applies discrete event simulation to study processes that unfold step by step, such as service delivery, logistics, and operations. By modelling the flow of resources, queues, and activities, we pinpoint inefficiencies and test alternative designs without disrupting real-world systems. This helps organisations optimise operations, improve efficiency, and make the best use of limited resources.

Project Management

Our lab provides structured project management to ensure research and engagement activities are delivered on time, within scope, and to the highest standards. We combine proven methodologies with flexible, adaptive practices that respond to the complexity of real-world challenges. From planning and coordination to monitoring progress and managing risks, our team supports partners through every stage of a project. This approach not only ensures accountability and efficiency but also creates the space for innovation, collaboration, and continuous learning.

Network Analysis

Our lab uses network analysis to study the relationships and connections between people, organisations, and systems. By mapping how actors are linked and how information, resources, or influence flow through those connections, we uncover structures that often remain hidden in traditional datasets. This approach helps identify key players, potential bottlenecks, and opportunities to strengthen collaboration. For decision-makers, network analysis provides a powerful lens to design interventions that build resilience, enhance coordination, and amplify impact.

Expert Witness & Advisory

We delivering clear, evidence-based analysis for litigation, regulatory review, and policy inquiries.

Training & Knowledge Transfer

We support organisations, universities, and providers through workshops, lectures, and capacity-building in systems thinking and simulation.