Science communication research and education programmes worldwide exhibit notable differences as well as similarities. In this essay the authors claim that this diversity is not a problem. They argue that universities can contribute well to the science communication field, theoretically and in practice, if they invest in building collaborations and make use of the ‘networked pattern’ connecting various actors, contexts and contents. As critical nodes in the networks, universities can enable practitioners to deliver real-life cases, students to participate to find solutions and researchers to investigate and explain. Universities can also prepare their students and (future) practitioners for lifelong learning in the dynamic context of science communication, helping them to become adaptive experts. These two aspects will be illustrated in the case study of Delft University of Technology in the Netherlands.

In this paper, we respond to the critiques presented by [Kahan, 2017]. Contrary to claims that the scientific consensus message did not significantly influence the key mediator and outcome variables in our model, we show that the experiment in [van der Linden et al., 2015] did in fact directly influence key beliefs about climate change. We also clarify that the Gateway Belief Model (GBM) is theoretically well-specified, empirically sound, and as hypothesized, the consensus message exerts a significant indirect influence on support for public action through the mediating variables. We support our conclusions with a large-scale replication.

This paper analyzes data collected but not reported in the study featured in van der Linden, Leiserowitz, Feinberg, and Maibach [van der Linden et al., 2015]. VLFM report finding that a “scientific consensus” message “increased” experiment subjects' “key beliefs about climate change” and “in turn” their “support for public action” to mitigate it. However, VLFM fail to report that message-exposed subjects' “beliefs about climate change” and “support for public action” did not vary significantly, in statistical or practical terms, from those of a message-unexposed control group. The paper also shows how this absence of an experimental effect was obscured by a misspecified structural equation model.

This issue of JCOM explores the question ‘what works in science communication?’ from a variety of angles, as well as focusing on the politically sensitive topic of climate change. In addition, the issue contains a set of commentaries that explore the sometimes conflicting roles of universities in science communication.

This article aims to present a critical analysis of the book entitled “Creative Research Communication ― Theory and Practice”, written by Clare Wilkinson and Emma Weitkamp (Manchester University Press, 2016). We aim to present the structure of the book, highlighting its strengths and successes. Although some chapters focus on the UK, the book offers a wide range of examples of practical activities for the communication of research of global interest and provides very useful tips. Ethical issues and the importance of evaluation, of how to do carry out such evaluation and dissemination, are also presented in an inspiring way. Well-written and objective, the book is a must-read for anyone who works, or aspires to work, in the field of public engagement with research.

This study explored how different presentations of an object in deep space affect understanding, engagement, and aesthetic appreciation. A total of n = 2,502 respondents to an online survey were randomly assigned to one of 11 versions of Cassiopeia A, comprising 6 images and 5 videos ranging from 3s to approximately 1min. Participants responded to intial items regarding what the image looked like, the aesthetic appeal of the image, perceptions of understanding, and how much the participant wanted to learn more. After the image was identified, participants indicated the extent to which the label increased understanding and how well the image represented the object. A final item asked for questions about the image for an atronomer. Results suggest that alternative types of images can and should be used, provided they are accompanied by explanations. Qualitative data indicated that explanations should include information about colors used, size, scale, and location of the object. The results are discussed in terms of science communication to the public in the face of increasing use of technology.

What is it that really makes communicating science a good, moral thing to do? And are there limits to the potential ‘goodness’ of science communication? In this article, we argue it is time we consider what an ethics of science communication might look like. Not only will this help us figure out what doing the right, moral thing might be. It also invites us to think through one of the most perplexing, challenging and pressing question for this still emerging field: what are the core unifying features of science communication?

The imagination of possible scientific futures has a colourful history of interaction with scientific research agendas and public expectations. The 2017 annual UK Science in Public conference included a panel discussing this. Emphasizing fiction as a method for engaging with and mapping the influence of possible futures, this panel discussed the role of science fiction historically, the role of science fiction in public attitudes to artificial intelligence, and its potential as a method for engagement between scientific researchers and publics. Science communication for creating mutually responsive dialogue between research communities and publics about setting scientific research agendas should consider the role of fictions in understanding how futures are imagined by all parties.

Science communicators develop qualitative and quantitative tools to evaluate the ‘impact’ of their work however narrative is rarely adopted as a form of evaluation. We posit narrative as an evaluative approach for research projects with a core science communication element and offer several narrative methods to be trialled. We use citizen science projects as an example of science communication research seeking to gain knowledge of participant-emergent themes via evaluations. Storied experience of participant involvement enhances understanding of context-based and often intangible processes, such as changing place-relations, values, and self-efficacy, by enabling a reflective space for critical-thinking and self-reflection.

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 of new research opportunities: from the study of technical and scientific controversies to citizen science, from the definition of new norms and practices for science journalism to open science issues. On the other hand, difficulties are shared with other areas of application. The main risk is that the large quantity of data available can overwhelm the importance of theory. Instead, as the papers in this commentary demonstrate, big data should push scientists to pursue a deeper epistemological and methodological reflection also in the research on science communication.