Travis G. Coan is an Associate Professor in Computational Social Science at the University of Exeter. He is a Director of the Centre for Climate Communication and Data Science, a member of Centre for Elections, Media, and Participation (CEMaP) and the Institute of Data Science and Artificial Intelligence at Exeter, and previously directed the Exeter Q-Step Centre. While he has published on a wide range of topics, his core research develops computational approaches to explore questions in the areas of environmental and political communication. Travis’ work has appeared in the American Political Science Review, Climatic Change, Global Environmental Change, Electoral Studies, International Studies Quarterly, and Social Networks, among others.

Saffron O’Neill is Professor in Geography. Saffron is a Director of the Centre for Climate Communication and Data Science, Director of the Centre for Climate Communication and Data Science (C3DS) (2023-2025) funded by the Children's Investment Fund Foundation and Co-Director (Communications and Outreach) of the ESRC-funded ACCESS network (Advancing Capacity for Climate and Environment Social Science) (2021-2026). Her research explores the social science dimensions of climate variability and change, particularly focusing on communication and public engagement. Her research specialism is the visual communication of climate change. She held a Leverhulme Research Fellowship on this topic titled ‘The Visual Life of Climate Change’ (2021-2023) and an ESRC Future Leaders Fellowship (2012-2017).

Tristan is a postdoctoral research fellow and computational social scientist specialising in network science (how people and objects interact) and natural language processing (how language patterns emerge at scale). His research interests consider attention and opinion dynamics and the evolution of social systems around polarised topics. Previous work has explored these trends in discussions around climate change on social media platforms and more recently has expanded to consider climate communications across the wider media ecosystem.

Chico Camargo is a Lecturer in Computer Science at the University of Exeter, a research associate at the Oxford Internet Institute, University of Oxford, member of the Complex Systems Society Council, Computational Social Science Theme Lead at the Exeter Institute for Data Science and AI, and director of the CC Lab. In his research, he combines approaches from the natural, social, and computational sciences to study the evolution of information. His work, developed in multidisciplinary collaborations with physicists, psychologists, mathematicians, anthropologists, journalists, and political scientists, has resulted in multiple knowledge exchange opportunities with policymakers. Chico is also an experienced science communicator, having written for Science, HuffPost Brazil, The Conversation, and produced over 50 videos for large audiences on YouTube, and is currently one of the directors of Science Vlogs Brazil.

Mirjam is a postgraduate researcher at the C3DS at the University of Exeter. Her research focuses on the classification and automatic detection of climate change disinformation and contrarianism. Moreover, she is currently in the final stages of her PhD, investigating the influence of climate change contrarians and other interest groups on climate change legislation in the US Congress. With a passion for quantitative social science, her expertise lies in statistics and machine learning, including generalised linear modelling, natural language processing, and multilevel modelling. She loves experimenting with a wide array of quantitative methods, striving to find the most suitable approach for each unique problem, and the power of data visualisation to make complex problems more accessible.

Ned is a post-doctoral research fellow for the College of Life and Environmental Sciences. His research centres on narrative communication, digital advocacy, and the attention economy of climate change. Ned is developing a tool to track the evolution of political narratives across social media platforms such as TikTok, YouTube, Telegram, Facebook and Instagram, employing a broad range of methods from natural language processing, computer vision, network science, statistics, and quantitative content analysis.

Sylvia is currently completing her PhD in Climate Change Communication titled “Strikingly Visual: understanding the production of climate journalism in a world of digital news”, which uses a qualitative ethnographic approach to understand the way that images are used and reproduced in specialist online climate change news sites. Sylvia’s research interests are climate change communication, social media, visual imagery, photography/photojournalism, and digital media. Sylvia has previously published research on the visual communication of various climate change themes, including heatwaves in Europe and the representation of climate change protesters in UK news media and global image banks.

Ben is a researcher in data science, specialising in computational social science. His research focuses on online communication, applying tools in natural language processing and network science to social and news media data, particularly environmental communication. This has included developing methods to estimate the influence of environmental strategic communication on social media discussion, identifying narratives present in a decade of UK parliamentary speeches, and understanding the spend and scale of different environmental and opposition groups' social media advertising. Ben is also a member of the SEDA Lab (Social & Environmental Data Analysis Lab) at the University of Exeter.

Francisco’s PhD is funded through the UKRI Centre for Doctoral Training in Environmental Intelligence (EI CDT), and the Children’s Investment Fund Foundation (CIFF) via C3DS (Centre for Climate Change Communication and Data Science). His PhD will use Natural Language Processing and computer vision to explore climate discourse on television. Francisco is lead-supervised by Chico Camargo, Computer Science, University of Exeter, with Saffron as co-supervisor.

Simon is a PhD student funded through the UKRI Centre for Doctoral Training in Environmental Intelligence (EI CDT), and the Children’s Investment Fund Foundation (CIFF) via C3DS (Centre for Climate Change Communication and Data Science). Simon's PhD research uses Network Science and Natural Language Processing to explore climate misinformation on Wikipedia. Simon is supervised by Dr Rudy Arthur and Prof Hywel Williams from the Department of Computer Science.

Claire is the Centre Manager for the Centre for Climate Communication and Data Science (C3DS). Claire supports the Co-Directors in developing and delivering the operational plan to achieve the vision of C3DS. Claire was previously a Research Development Manager in the EU/International Funder Cluster. Prior to joining the University of Exeter, Claire managed a multi-centre research project on tuberculosis.

Emily is an interdisciplinary postgraduate researcher in computational social science. Her research focuses on analysing social media communication surrounding emerging climate technologies like electric vehicles to uncover how citizens frame new technologies in relation to the climate crisis. Emily is passionate about understanding the impact of framing in communication, and her research focus' on innovative LLM methods to identify framing functions within climate discourse. Drawing from interdisciplinary insights, she blends computational science, communication theory, and social science to investigate the complex landscape of climate communication. Beyond academia, Emily is committed to fostering interdisciplinary collaborations and science communication efforts to bridge research and policy.