Recent N/LAB Projects

The Anatomy of Retail Transactions

N/LAB has devoted considerable effort to descriptive and predictive analytics in the domain of retailing. The lab has access to data from various multinational retailers. In press and in prep work is bound to make a […]

Automated Road Quality Surveys: Superior and Cost Effective

In collaboration with DFiD and the Department of Roads (DoR) Zanzibar, N/LAB is investigating methods combining remote sensing (drone/satellite imagery) and applied machine learning methods to automate the assessment of low volume road conditions. Traditionally […]

Generating Geo-demographic Data from CDR Data: Mobility

Understanding mobility at a population level provides a key role in urban planning. Traditionally undertaken by transport surveys, a key outcome is city wide Origin-Destination (OD) Matrices. While providing known utility, these traditional approaches are […]

Big Data for Resilience – Flooding in Dar es Salaam

Dar es Salaam suffers from biannual flooding caused by various factors including climate change and rapid unplanned urban growth. Receiving a ESRC-NERC-DFID grant for “Big Data for Flood Resilience in East Africa”, this project investigates […]

Transport – Road Conditions

Leveraging recent deep learning advances with high resolution drone imagery, the team has developed state-of-the-art techniques for the automatic detection of buildings and roads from aerial imagery. N/LAB is now focusing on the extension of […]

Community Mapping

Maps are crucial in emerging countries to make decisions, but often do not exist. Community mapping is a participatory process where community members map their neighbourhoods, making maps openly available in the process. In emerging […]