Samenvatting

In the field of policymaking, there is a growing need to take advantage of the opportunities that big data predictions offer. A strong point of big data is that the large amounts of data that are collected nowadays can be re-used to find new insights. However, for effective use in policymaking it is also important to take into account the relating limitations and challenges. For example, the quality of the data used can be a problem. Outdated data and data of which the semantics have changed, may result in predictions that are no longer correct. In addition, it is difficult to apply predictions to individual cases or people. In this article authors provide various practical recommendations for dealing with these problems. As long as people are aware of the limitations and handle the results with care, big data models can be a useful addition to traditional methods in the field of policymaking.