Zoekresultaten

Discovering climate futures

The social media life of climate change

Social media is a transformative digital technology, collapsing the “six degrees ofseparation” which have previously characterized many social networks, and breaking down many of the barriers to individuals communicating with each other. Some commentators suggest that this is having profound effects across society, that social media have opened up new channels for public debates and have revolutionized the communication of prominent public issues such as climate change. In this article we provide the first systematic and critical review of the literature on social media and climate change. We highlight three key findings from the literature: a substantial bias toward Twitter studies, the prevalent approaches to researching climate change on social media (publics, themes, and professional communication), and important empirical findings (the use of mainstream information sources, discussions of “settled science,” polarization, and responses to temperature anomalies).Following this, we identify gaps in the existing literature that should beaddressed by future research: namely, researchers should consider qualitativestudies, visual communication and alternative social media platforms to Twitter.We conclude by arguing for further research that goes beyond a focus on sciencecommunication to a deeper examination of how publics imagine climate changeand its future role in social life.

Desirable tourism transport futures

The challenge of mitigating climate change is critical to desirable tourism transportation futures, although to date relatively little attention has been paid to this aspect of sustainable tourism. This introductory article to the special issues on ‘Desirable Tourism Transport Futures’ explores approaches to transitioning the tourism sector to a sustainable emissions path. It starts by describing an undesirable tourism transport future associated with a business-as-usual scenario, which will inevitably cause the climate mitigation goals outlined in the Paris Climate Accord to soon become unattainable. We then outline a scenario for a climatically desirable future, and its social and economic implications. It is important that desirable tourism transport futures are critically considered in terms of both spatial and temporal scale. The scenarios that inform this editorial provide some insights at the long-term macro-scale. These scenarios are associated with desirable and undesirable elements that will no doubt continue to be the subject of much debate and contestation. While these scenarios will represent both opportunities and threats to the full spectrum of tourism industry stakeholders, they should also inform manifold avenues of future research at a critical moment in the evolution of tourism transportation and the pursuit of the UN Sustainable Development Goals.

All Gone: Co-authoring climate imaginaries with AI

All Gone is a series of experiments with AI that build on existing collections of climate fiction to create much-needed new climate imaginaries. As the climate crisis is also a “crisis of imagination” (Ghosh, 2016), this project turns to the art genre that is best at forecasting and imagining alternative futures: science fiction. Using collections of ‘cli-fi’ novels, in which science fiction meets natural disaster or heavy weather, algorithms are trained until they are able to render new climate imaginaries in textual and visual form. The edited texts and curated images are further developed into audio stories and a tarot deck as tools for reflection on present and future living with a changing climate.

Floating Futures

In the last month, the Visual Methodologies Collective participated in Regenerative Futures, a month-long design challenge to envision what a more desirable future could look like. Launched by SPACE10, a research and design lab based in Copenhagen, the call invited to use different AI generative models to develop a vision of the future home, community, or city.The call invited to reflect on different speculative briefs: resilient futures (How will future communities co-exist with non-human species? And how might the design of our homes and communities nurture surrounding ecosystems?), symbiotic futures (As we look to the future, how can we design homes as spaces of refuge and resilience? How will they flex to sudden climatic changes, while being conscious of the land and ecology around them?) collective futures (What would a self-sustaining city look like? How can we adapt and evolve existing structures and streets to better support collective living?)

Climate futures

This paper introduces and contextualises Climate Futures, an experiment in which AI was repurposed as a ‘co-author’ of climate stories and a co-designer of climate-related images that facilitate reflections on present and future(s) of living with climate change. It converses with histories of writing and computation, including surrealistic ‘algorithmic writing’, recombinatory poems and ‘electronic literature’. At the core lies a reflection about how machine learning’s associative, predictive and regenerative capacities can be employed in playful, critical and contemplative goals. Our goal is not automating writing (as in product-oriented applications of AI). Instead, as poet Charles Hartman argues, ‘the question isn’t exactly whether a poet or a computer writes the poem, but what kinds of collaboration might be interesting’ (1996, p. 5). STS scholars critique labs as future-making sites and machine learning modelling practices and, for example, describe them also as fictions. Building on these critiques and in line with ‘critical technical practice’ (Agre, 1997), we embed our critique of ‘making the future’ in how we employ machine learning to design a tool for looking ahead and telling stories on life with climate change. This has involved engaging with climate narratives and machine learning from the critical and practical perspectives of artistic research. We trained machine learning algorithms (i.e. GPT-2 and AttnGAN) using climate fiction novels (as a dataset of cultural imaginaries of the future). We prompted them to produce new climate fiction stories and images, which we edited to create a tarot-like deck and a story-book, thus also playfully engaging with machine learning’s predictive associations. The tarot deck is designed to facilitate conversations about climate change. How to imagine the future beyond scenarios of resilience and the dystopian? How to aid our transition into different ways of caring for the planet and each other?