We aim to develop novel and cutting-edge methods, algorithms, and software tool sets that can operate on multi-modal data to estimate, quantify, analyse, and predict spatio-temporal distribution of various socio-economic, environmental, and health indicators associated with an urban space.
To ensure long-term impact, strong emphasis is being laid on making data collected by the center openly accessible.
We aim to develop and deploy technological solutions for multi-modal data collection, assimilation and integration. The guiding principle behind the solutions is an emphasis on promoting responsible social usage and user experience, social acceptability, and equitable coverage.
We aim to develop a new knowledge framework for sustainable urban development with an aim to have shared understanding across multiple disciplines.
We aim to advance the use of data-driven policy-making making in urban management practices to produce inclusive social neighbourhoods, to introduce timely social interventions for improved quality of life, and to promote good practices for addressing socio-economic vulnerabilities, environmental risks, and health hazards. It also aims to produce practical guidance on policy and practice for …
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We aim to contribute to capacity building in the urban planning and development domain through trainings on the developed software toolset as well as the abstract-but-simplified theoretical and practical frameworks. We also aim to develop new curriculum with a focus on producing alliances, interactions and collaborations between different stakeholders.