Research Partner- Deloitte

Researchers at SRITNE are engaged in developing a smart city index that uses big data at the highest possible spatial and temporal resolution to assess the liveability and productivity of cities. The index cities address three important limitations in the current data and methods used to assess the health of cities.

First, rather than drawing merely on archival data from a limited set of informational sources, the index leverages multiple public and private sources of information being generated digitally at high frequency. Extant assessments of liveability use survey-based measures and supply-side metrics, which can result in lagged estimates and hinder proactive policymaking.
 
These indices ignore the demand side metrics, notably, citizen perceptions and use of public goods. Given that the interactions between citizens and state agencies are increasingly being recorded digitally in real time, we include people’s sentiments on social media to understand how a city fares in terms of providing a robust liveable environment for its inhabitants.
 
Finally, our smart city index captures the heterogeneous nature of economic activity across the sub-continent that makes it highly likely that the same set of observations and data sources may not be the best predictors for all regions. This is particularly true for the difference between rural and urban regions, as well as within rural areas across different parts of India (about a third of rural India does not have access to electricity). Similarly, most indices of economic activity focus on the formal sector while in India, given the scale of the informal sector, it is important to capture activity in this sector as well. Our index captures the heterogeneous nature of economic activity across the subcontinent, including that for regions for which standard GDP measures are not available. 
 

A Capability Maturity Index for Global In-House Centres (GICs) in India


Smart City Maturity Model (SCMM)