This research explores how redesigning onboarding experiences for contact tracing apps can improve public understanding, trust, and adoption. Through co-design workshops with experts and smartphone users, it identifies strategies that better explain privacy practices, personalise user choices, and reinforce community participation to strengthen future pandemic responses.

This research explores next-generation digital twins—virtual representations of real-world systems that support decision-making through simulation and AI. By combining decentralization, privacy-preserving architectures, explainable AI, and scenario analysis, the work aims to help individuals and organizations evaluate alternative futures, make informed decisions, and build more transparent intelligent systems.