Visualisations & Publications

Predicting poverty using mobile phone and satellite data

Co-authored with MIT Media Lab and Flowminder. Published in Royal Society Interface (2017).

• Poverty mapped in near real-time (Seeker)
• Phone and satellite data flesh out high resolution poverty map (New Atlas)
• Mobile phone and satellite data to map poverty (phys.org)

Improving official statistics in emerging markets using machine learning and mobile phone data

Co-authored with MIT Media Lab, Imperial College. Published in EPJ Data Science (2017).

• Huffington Post
• Imperial College

Towards real-time prediction of unemployment and profession

Co-authored with MIT Media Lab, Flowminder. ArxiV:1612.03870 (2016).

• Vice Media

Can Mobile Usage Predict Illiteracy in a Development Country?

Pål Sundsøy — ArxiV:1607.01337 (2016)

MIT Technology Review, World Bank, Yahoo Finance, Engadget.com, Mobile Today, Top Innovations.

Predicting Individual Income Based on Deep Neural Networks

Co-authored with MIT Media Lab. International Conference on Artificial Intelligence (2016).

Impact of human mobility on the emergence of dengue epidemics in Pakistan

Co-authored with Harvard School of Public Health. Published in PNAS (2015)

30+ newspapers including Harvard Magazine, Science Daily, India Today, Nasdaq ++

Big Data-Driven Marketing: How Machine Learning outperforms marketers' gut-feeling

Co-authored with MIT Media Lab. Published in Springer (2014). Selected Press: Gates Foundation, Bostinno

Comparing and visualizing the social spreading of products on a large-scale social network

Selected Press: Wall Street Journal, MIT Technology Review, White House Big Data Report, Science News

Using Patterns of Big Data to Track Human Migration

Co-authored with Flowminder. Published in Global Environmental Change (2016).

Selected Press: Climate and Migration Coalition