This essay examines several distinct roles universities play in science communication, with particular reference to professionalisation in the field. It identifies the ways in which universities have facilitated, even driven, that continuing process. But it also notes the potential and actual contradictions between some of the roles of universities, reflecting current developments in higher education across many different contexts.

The Science in Public Conference, held this year at the University of Sheffield, generated animated discussion of a wide range of topics. Six commentaries cover conference themes around engagement with science and technology and how science and technology are shaping what it means to be human. The commentaries range from discussions of our relationship with expertise and how science communication can better act as a knowledge broker in a time of ‘alternative facts’ to exploration of fictional narratives and how they might be used to open up dialogue about science and technology.

The “post-truth” age of “alternative facts” suggests both the urgent need for effective science communication and also its failure over the past thirty years. Two sessions at the Science in Public conference explored what could be done. Responsible Research and Innovation is presented as one possible way forward with the NUCLEUS project offered as an example. The result would be to transform “science communication” so that public engagement shares not only knowledge but the power that goes with it.

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.

Studying fictional depictions of robots and artificial intelligence in cinematographic science fiction narratives acquires a new level of relevance as legislators' approaches to the subject seem to be strongly influenced by popular culture. This panel of Science in Public 2017 presented various on-going investigations of this kind, showing that the critical mass in this area of research is growing

This article addresses two major questions about women and science. Firstly, the commentary looks at the ways science and technology are discussed and represented all around us in society. Secondly, I ask whether this matters. The defining issue is therefore whether or not being human affects the type of science and technology that is conducted and valued within our society. By addressing these questions in science communication, we can add much to the debate about gender diversity and affirmative action being portrayed in our media and culture.

New public participatory modes of practice are emerging in fields as diverse as politics, healthcare and research. In part, these DIY and citizen-led initiatives have gained momentum from the optimism of new technologies, which allow unprecedented access to previously inaccessible knowledge and tools. Equally, they are the result of a growing frustration with power hierarchies and systems that reinforce elites. Experts are increasingly regarded with suspicion as trust in public institutions is eroded and individuals begin to give more weight to personal accounts, and information shared within networks of peers. In this climate there is a critical need for improved knowledge transfer practices based on improved empathy, understanding and communication of shared values and motivations. In this session we questioned the role of expertise in a changing landscape of knowledge production and practice. Using the lens of science & technology communication and hands-on DIY practices, we explored how to move towards a more inclusive model of knowledge transfer, where different types of expertise are acknowledged and valued.

In response to EU draft legislation on robots and artificial intelligence ― which included the headline-grabbing proposals to introduce rights for ‘e-persons’ and necessitating that robots come equipped with a ‘kill switch’ ― a diverse group of experts and academics gathered in Sheffield as part of the Science in Public 2017 conference. Panellists and the audience discussed the origins and implications of the ideas behind the EU initiative, and more specifically, whether robots or artificial intelligence qualifies for right as ‘persons’, and how the EU proposal imagines robots and artificial intelligence in particular, historically-contingent ways that influence or distort our present discussions and attempts to legislate on the future use and development of technology.

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.

Online visual communication of science focuses on interactive sharing and participatory collaboration rather than simple knowledge dissemination. Visuals need to be stunning to draw people in and engage them, and a cross-media approach together with digital multimedia tools can be used to develop a clear and engaging narrative to communicate complex scientific topics. On the web both science communicators and the public manage co-create, shape, modify, decontextualise and share visuals. When it happens that low science literacy publics devoid a picture of its information assets, caption or source, they distort image meaning and perpetuate misinformation.