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.

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

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.

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.

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.

Although with some reluctance, social sciences now seem to have accepted the challenge deriving from the growing digitisation of communication and the consequent flow of data on the web. There are actually various empirical studies that use the digital traces left by the myriads of interactions that occur through social media and e-commerce platforms, and this trend also concerns the research in the PCST field. However, the opportunity offered by the digitisation of traditional mass media communication — the newspapers in particular — is much less exploited. Building on the experience of the TIPS project, this paper discusses the advantages and the limits of computational social science on PCST using newspapers as the main source of data. Some methodological issues are also addressed, in order to suggest a more aware use of such data and the several computational tools available for analysing them.

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.

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.

Social media is restructuring the dynamics of science communication processes inside and outside the scientific world. As concerns science communication addressed to the general public, we are witnessing the advent of communication practices that are more similar to public relations than to the traditional processes of the Public Understanding of Science. By analysing the digital communication strategies implemented for the anti-vaccination documentary Vaxxed, the paper illustrates these new communication dynamics, that are both social and computational.

Thanks, on the one hand, to the extraordinary availability of colossal textual archives and, on the other hand, to advances in computational possibilities, today the social scientist has at their disposal an extraordinary laboratory, made of millions of interacting subjects and billions of texts. An unprecedented, yet challenging, opportunity for science. How to test, corroborate models? How to control, interpret and validate Big Data? What is the role of theory in the universe of patterns and statistical correlations? In this article, we will show some general characteristics of the use of computational tools for the analysis of texts, and some applications in the areas of public communication of S&T and Science and Technology Studies (STS), also showing some of their limitations and pitfalls.