How can statistical methods provide a sound basis for decision-making in the areas of economics and sustainability policy?
The volume of socio-economic data has risen significantly in recent years. At the same time, its complexity is steadily increasing. A closer look at the data that is compiled for decision-makers reveals that we are far from making full use of the ever-growing mountain of data. A team of researchers drawn from the fields of statistics, machine learning, economics, social sciences and computer science is seeking to develop new methods that will allow the extrapolation of improved conclusions from the data. The project is funded by the Austrian Science Fund FWF.