AUTHOR=Crettaz von Roten Fabienne TITLE=Broadening the audience for science engagement with machine-learning techniques JOURNAL=Frontiers in Communication VOLUME=9 YEAR=2024 URL=https://www.frontiersin.org/journals/communication/articles/10.3389/fcomm.2024.1382952 DOI=10.3389/fcomm.2024.1382952 ISSN=2297-900X ABSTRACT=

In Switzerland, the need to engage the public in science is rooted in the political system with its tools of initiatives, therefore the broadening of the audience is critically important. Using the 2021 Science and Technology Eurobarometer, we propose solutions by using machine-learning techniques which identified patterns of engagement and the interaction of sociodemographic characteristics that constitute the prediction (1) of lowest level of science engagement and (2) of non-visitors to the science and technology museum. The techniques allow a more precise targeting than traditional segmenttion analyses.