Aryabhat

Objective : Data Driven Decision for The Social Good

Social Engineering with Data–  The use of centralized planning in an attempt to manage social change and regulate the future development and behavior of a society.

The Sustainable Development Goals set by the UN for 2030.

US-SDG

Giving back with data
There are 6 billion mobile phones around the world and 80% of them are in developing countries. This provides us with a network of social sensors, generating information 365 days a year, 24/7. For example, this allows us to generate insights on natural disasters allowing NGOs and governments to optimize their emergency response. We can also use predict the spread of health pandemics using mobility analytics. Using payment data, we can also create poverty indicators to understand the economic challenges in developing countries. The possibilities are endless.

Arabhat projects

Currently, we are collaborating on a wide range of Big Data for Social Good projects:

  • EduMap: We use advanced data analytics to improve digital education for students in schools in India.
  • #BTOpenData: We use “#BTOpenData” to support the National Planning Department of Colombia in exploiting private sector data to have a scalable and economically sustainable social impact, prioritizing data security.
  • Health Pandemic Prediction: We have worked alongside the BiharTree team to predict the spread of pandemics such as Dengue and Malaria in Bihar.
  • Natural Disaster Response: We use mobile data to optimize the government’s response to floods in Bihar, India by analyzing cell tower activity in the area.
  • Pollution Measurement: Using our ‘DataMap’ technology, we analyze traffic patterns in cities such as Delhi and Patna, providing insights which allow us to measure CO2 emissions.
  • Crime Prediction: Alongside the University students, we used anonymized and aggregated mobile data together with crime data to predict crime hotspots in India.