The Intergovernmental Panel on Climate Change (IPCC) proceeds on the assumption that scientific consensus is a tool for successful climate communication. While ‘speaking with one voice’ has contributed to the Panel's success in putting climate change on the public and political agenda, the consensus policy is also contested, as our literature analysis (n=106) demonstrates. The arguments identified thereby inform a survey of climate scientists (n=138), who are the ones responsible for realising the policy. The data indicate moderate support for the consensus policy but significantly more in traditional climate sciences than in social sciences, life- and geosciences.

We used content analysis to analyse the representation of female scientists in animated short films on gender and science, selected from the Anima Mundi Festival, over 21 annual editions. In these films, female scientists are featured as ‘intelligent’, ‘dominant’ and ‘well respected’, adult, white, wearing a lab coat or uniform and working in laboratories and fieldwork. We identified a reconfiguration of the gender stereotype in films in which the female character is about to gain space and visibility. We also analysed films whose sexist foundations in the relationship between scientists and their interlocutors reinforce the reproduction of sexist and heteronormative stereotypes.

In this study, we suggest to amending the cognitive mediation model of learning from the news to explain the impact of news coverage on climate change on the recipients' acquisition of knowledge about the consequences of climate change. To test our theoretical assumptions, we combine a content analysis of 29 news media channels with a two-wave panel survey before and after the release of the 5th IPCC report. Results show that the amount of information on the consequences of climate change used in print media and prior knowledge are the strongest predictors of the knowledge in the second panel wave.

Science museums are missing an opportunity to promote informal education, scientific literacy, public engagement and public visibility of scientists outside of museum walls via Instagram. With an analysis of 1,073 Instagram posts, we show that museums are using Instagram as a promotional broadcasting tool, with a focus on end results of collections and curation work over communication of museum-led discovery and science as a process. We suggest that science museums create more Instagram posts that offer educational information and visibility of exhibit creation and museum researchers' work behind the scenes.

The Extreme Ice Survey (EIS) is an exemplary case for examining how to effectively communicate scientific knowledge about climate change to the general public. Using textual and semiotic analysis, this article analyzes how EIS uses photography to produce demonstrative evidence of glacial retreat which, in turn, anchors a transmedia narrative about climate change. As both scientific and visual evidence, photographs have forensic value because they work within a process and narrative of witnessing. Therefore, we argue that the combination of photographic evidence with transmedia storytelling offers an effective approach for future scientific and environmental communication.

This study uses the online discourse surrounding an Austrian publicly-funded study about “Islamic kindergartens” as a case study to approach communication about the social sciences in the online public sphere. Results from a discourse analysis of 937 user comments in online forums of two Austrian daily newspapers show that the social sciences are often referred to as a “special case”. While some use this argument to neglect its societal relevance, others use it to highlight its role as societal problem solver. Moreover, users discuss characteristics of “true” social scientists and scrutinise the independence of institutionalised social science.

Meaningful science engagement beyond one-way outreach is needed to encourage science-based decision making. This pilot study aimed to instigate dialogue and deliberation concerning climate change and public health. Feedback from science café participants was used to design a panel-based museum exhibit that asked visitors to make action plans concerning such issues. Using intercept interviews and visitor comment card data, we found that visitors developed general or highly individualistic action plans to address these issues. Results suggest that employing participatory design methods when developing controversial socio-scientific exhibits can aid engagement. We conclude by recommending participatory strategies for implementing two-way science communication.

Over the past decade, science festival expos have emerged as popular opportunities for practicing scientists to engage in education outreach with public audiences. In this paper, a partial proportional odds model was used to analyze 5,498 surveys collected from attendees at 14 science expos around the United States. Respondents who report that they interacted with a scientist rated their experiences more positively than those who reported no such interaction on five categories: overall experience, learning, inspiration, fun, and awareness of STEM careers. The results indicate that scientists can positively affect audience perception of their experience at these large-scale public events.

Young people's decisions to study post-compulsory science are strongly influenced by the attitude of their parents, but many families, especially those from deprived backgrounds, see science as ‘narrow’ and ‘not for us’. We asked whether family attendance at a science festival — a growing but under-studied activity — could shift attitudes. Our mixed-methods study found parents from more deprived areas were disproportionately likely to say attendance had improved their perception of science. Parents from the most deprived areas were significantly more likely to feel increased positivity about their children pursuing science careers. Participants also reported learning about the breadth of careers in science. However we found no evidence that attendance boosted informal science activity in low-SES families.

Effective classification of large datasets is a ubiquitous challenge across multiple knowledge domains. One solution gaining in popularity is to perform distributed data analysis via online citizen science platforms, such as the Zooniverse. The resulting growth in project numbers is increasing the need to improve understanding of the volunteer experience; as the sustainability of citizen science is dependent on our ability to design for engagement and usability. Here, we examine volunteer interaction with 63 projects, representing the most comprehensive collection of online citizen science project data gathered to date. Together, this analysis demonstrates how subtle project design changes can influence many facets of volunteer interaction, including when and how much volunteers interact, and, importantly, who participates. Our findings highlight the tension between designing for social good and broad community engagement, versus optimizing for scientific and analytical efficiency.