Key research themes
1. How do political and social dynamics shape infrastructure development and its failures?
This theme examines infrastructure not just as physical systems but as socio-political assemblages that reflect power relations, inequalities, and historical legacies. It highlights how infrastructural provision and denial mark social boundaries and political contestations, shaping lived realities and community agency. Understanding these dynamics is critical to grasp why infrastructures sustain or fail particular populations and how infrastructure embodies broader political economy and racialized governance.
2. How can artificial intelligence and data-driven technologies optimize infrastructure project planning, management, and maintenance?
This research stream focuses on leveraging AI, machine learning, and data-driven frameworks to improve infrastructure project outcomes, including design optimization, risk assessment, and decision-making. It stresses the need for automated, flexible, and reliable approaches to manage the complexity and multidimensionality of infrastructure systems across their life cycles. These technological solutions aim to increase efficiency, reduce costs, extend asset life, and enhance sustainability.
3. What governance and participatory frameworks best support integrated and sustainable infrastructure planning and management?
This theme explores sociotechnical approaches involving stakeholder engagement, transdisciplinary collaboration, and regulatory balance in infrastructure governance. Research investigates planning processes that integrate technical expertise with social values and community input to improve project legitimacy, responsiveness, and sustainability. Challenges include aligning multi-level governance, managing public participation, and embedding transdisciplinary mindsets within engineering cultures.