Even as a range of technologies are deployed for policing, the implications of these innovations for crime reduction, accountable policing and citizen satisfaction are under-investigated. On a more precautionary note, little is known about the intended or unintended costs of these innovations.
Our research is an impact assessment study of the various technological innovations implemented by the Hyderabad Police. It aims to provide empirical evidence of the systematic and pervasive impact of technology innovations on law enforcement.
The research scope includes investigating impact of bodycam use by law enforcement offivers, service analytics to provide assessment of the cost-benefit of automation of call center agents, measure effects of social media on crime reduction and citizen satisfaction, and to assess the impact of SHE teams on incidence of crime against women.
The study also has the research objective to develop a Crime Analytics model, which will use crime incidence data along with other open data (weather, etc) and specially-sourced data (e.g. mobility and traffic data) to detect patterns that predict crime. Statistical tools and machine learning techniques would be utilised to analyse crime data and provide predictive insights. 
The research will also study the impact of various interventions implemented by the Hyderabad Police on citizen satisfaction and different parameters of police efficacy such as crime reporting, responsiveness, crime resolution rate and public trust attained. The research data provided by the Hyderabad Police. will be combined with third-party data such as data collected from platforms like social media, ride-sharing and congestion data from Uber, and geospatial data from Google Maps.
The predictive intelligence derived from this research could also lead to the design of an interactive platform for “smart policing” that translates various sources of data into real-time actionable intelligence.