Centre for Urban Science & Policy
We are a transdisciplinary research group working to advance urban research, planning and policy in a way that strives for just and equitable outcomes for communities. We use a mix of computational spatial science and qualitative participatory methods to investigate how social, economic, environmental and political processes shape cities. Our goal is to develop a body of computational approaches and curate evidence that facilitates an integrated systems-based approach for urban planning.
We design computational tools and policy interventions using spatial data science, complex systems analysis and participatory design approaches to understand the processes of urbanisation in cities.
We use multiple computational and qualitative approaches, and often with scholars from other disciplines, to develop insight into theories and practices of urban science and policy around the world.
We focus on how data-driven modelling techniques provide support to decisionmakers in understanding complex issues of urbanisation through a lens of equity and social justice.
We are building a community
Citizens Collective is a series of talks, discussions and conversations reflecting on research and innovation in Cities.
Our Core Values
We set clear expectations for all members of our centre to create an open, supportive, collaborative and productive environment. Explore our centre’s philosophy which guides us in our practices.
Our diverse cities are built on decisions of men. To represent and address our communities’ needs through science, we want to work with people from all backgrounds and especially encourage those who identify as minorities. We are currently learning how to ensure a safe and welcoming space for everyone and take action to correct our own biases that may lead to systemic inequalities in academia.
To address global urban challenges like inequalities, climate change, and access to opportunities, we focus on a wide range of skills. Our members have or develop expertise on machine learning, urban planning, complex systems modelling, network science and participatory mapping.