Data on poor and marginalised groups: counting the uncounted

To improve our knowledge of the poor and marginalised we need to fill gaps in data. We explore how existing methods and new technologies can fill those gaps.

Data visualisation: big data can help make better policies for poor people - credit - medul.la

To make better policy, we also need to know more what is important to poor people: what people think, as well as what they have. We are investigating new ways to do this. The aim is to make better decisions and improve the way we monitor progress in the future.

Ultimately this will feed into better policies that improve poor peoples’ lives. This work on new technologies is conducted in partnership with The Big Data & People Project (Data-Pop). Its aim is to promote a popular ‘big data revolution’.