Better understanding of socioeconomic interactions

The use of sophisticated data analysis approaches is increasingly being explored for social and political applications. However, the necessary data is not always readily available. When it is, analysis can be more complicated than in the natural and technical sciences: causes and effects are usually hard to unravel from data because they are multifaceted and embedded in differing socio-political settings. The fact that more data is being collected nevertheless offers many opportunities for new applications to help evaluate, inform and possibly improve policies.

Mapping global innovation: analysing patents

In this NRP 75 project, a novel approach for the early identification of “influential” patents was developed.

Evidence-based policy: uncovering causality from data

The project helps to substantially improve the impact analysis of decisions taken by economic policymakers and private sector actors.