What can social and political scientists learn from data science? And what can data science contribute to the research on peace and conflict?

‘Most importantly, one has to know what questions to ask’, says Gabriele Schweikert, Research Fellow at the School of Informatics at the University of Edinburgh. ‘And secondly, one needs the necessary data to answer that question.’

For example, researchers on urban conflict might be interested to find out how different instances of violence distribute across a city over time. Available data from media on the location and intensity of violence can be harvested with the help of automatised bots searching for keywords. ‘But if researchers have only a vague idea of their question and do not know what data can do and what not, they might end up with a trivial answer’, she says, adding: ‘Such as the simple result that violent conflict in cities tends to take place in streets.’

Can data predict conflict?

Gabriele’s colleague, Guido Sanguinetti, a Reader in Machine Learning in Informatics at Edinburgh, is an expert in running prediction models, usually in the field of computational biology. But when a friend who worked as a data scientist for the New York Times sent him a visualisation of violent incidents in Afghanistan, taken from the WikiLeaks Afghan War Diaries, he realised that he could ‘do much more with the available data’.

Jan 26, 2017 Comments closed