This research aims to provide urban planning and design policy recommendations using urban big data and spatial computation.

Using interdisciplinary methods, we will propose innovative strategies to address socioeconomic challenges around commuting and social mobility.

This research will contribute to the understanding of spatial production during forced displacement processes.

We aim to improve the understanding of urban sustainability problems in the built environment in LAC cities, in order to transfer important lessons in the management of urban spaces to Asia and Africa.

We will focus on two dimensions of urban footprint growth: the expansion of the urban extent and the dynamics of growth within the city.

We aim to understand the dynamics of SDG implementation and monitoring at the local (city) level in the context of transitional cities in the Global South.

Through this research, we will examine the industrial transformation in Bangalore, a megacity with a substantial services-based economy.

Our research aims to identify key elements that would be essential for characterizing, managing and triggering sustainable energy transitions in Bangalore.

We will develop a method for downscaling ward level Census data, and, in combination with other datasets, will analyse spatial inequalities across Bengaluru, especially related to water.