Computational social science represents an interdisciplinary approach to the study of reality based on advanced computer tools. From economics to political science, from journalism to sociology, digital approaches and techniques for the analysis and management of large quantities of data have now been adopted in several disciplines. The papers in this JCOM commentary focus on the use of such approaches and techniques in the research on science communication. As the papers point out, the most significant advantages of a computational approach in this sector include the chance to open up a range
There is a gap between the discipline of economics and the public it is supposedly about and for. This gap is reminiscent of the divide that led to movements for the public understanding of and public engagement with the natural sciences. It is a gap in knowledge, trust, and opinions, but most of all it is a gap in engagement. In this paper we ask: What do we need to think about — and what do we need to do — in order to bring economics and its public into closer dialogue? At stake is engaged, critical democracy. We turn to the fields of public understanding of science and science studies for