Policy, Dissemination and Knowledge Transfer

This section of the project ensures that CRANN research findings are translated into practical guidance for infrastructure owners, policymakers, and stakeholders. The project supports collaboration with transport authorities, tests the developed tools across wider bridge networks, and promotes knowledge sharing through training, engagement activities, and policy recommendations. This helps ensure that CRANN outcomes support real-world infrastructure planning and climate adaptation strategies 

CRANN explores the use of citizen science via the “serious game approach” to support early identification of scour risk, strengthening connections between infrastructure management and the communities it serves.  The project develops and evaluates interactive serious game environments as structured instruments for studying and supporting decision-making under uncertainty in bridge management. Building on the risk and resilience modelling outputs generated in the project's other research areas, the project operationalises these insights within controlled, scenario-based interactive environments that reflect realistic scour risk, cascading infrastructure impacts, and governance constraints. 

The primary objective of this work is the systematic exploration of how practitioners interpret uncertainty and frame risk when making inspection and management decisions. To achieve this, the CRANN team will: 

• Design and implement immersive and browser-delivered serious game scenarios representing bridge inspection, asset condition assessment, and network-level prioritisation under uncertainty. 

• Integrate modelling outputs from the risk framework into an interactive digital environment using the Regent bridge case study to support scenario realism while preserving experimental control. 

• Embed structured telemetry capture mechanisms to record interaction traces, decision sequences, information access patterns, and task outcomes. 

• Conduct pilot studies to examine behavioural variability across users (e.g., expert versus less-experienced practitioners) and to assess the feasibility of using interactive environments as instruments for modelling judgement processes.  

CRANN positions serious games as methodological tools capable of capturing and analysing decision behaviour in dynamic, uncertain infrastructure contexts. The outputs of WP5 include validated interactive prototypes, behavioural datasets, and an evaluative framework linking observed interaction patterns to decision quality, uncertainty framing, and resilience-oriented outcomes. 

This work links CRANN’s technical risk and resilience models to the real-world judgement processes of infrastructure practitioners by embedding model outputs within interactive decision scenarios and analysing how users interpret and act on them.