Search results

Turning to the Birds

Climate Communication

Over the past few years the tone of the debate around climate change has shifted from sceptical to soberingly urgent as the global community has prioritised the research into solutions which will mitigate greenhouse gas emissions. So far this research has been insufficient. One of the major problems for driving public and private stakeholders to implement existing solutions and research new ones is how we communicate about climate change (Stoknes, 2014). There seems to be a lack of common language that drives the scientific community away from policymakers and the public. Due to this lack, it is hard to translate findings into viable and sustainable solutions and to adopt new climate-neutral economies and habits.

The wardrobe as a system: exploring clothing consumption through design fiction

This study offers a new perspective on clothing consumption by uncovering the systemic nature of the wardrobe. The research builds on systems theory and aims at drawing a map of the wardrobe as a system with particular structure and behaviour. By co-designing fictional 'smart wardrobe' services with experts and discussing these services with wardrobe users, we identify characteristics of wardrobe structure and behaviour that give input for a preliminary wardrobe map. Lastly, the wardrobe map provides a basis for discussing sustainable design approaches aimed at reducing clothing demand, in the context of growing clothing production volume and its associated environmental impacts.

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.

Reflections on the dynamic relations between truth and fiction as imageneries

In: Frank Gadinger, Martina Kopf, Ayşem Mert, and Christopher Smith (eds.). Political Storytelling: From Fact to Fiction (Global Dialogues 12) This essay presents a summary of important perspectives concerning the distinction between what counts as truth or fiction. As a source of inspiration, it starts with two examples found in literature – the first a classical Spanish novel and the second a collection of stories written by the leader of a social movement in Mexico. These two examples of the conflictive relations between truth and fiction, authenticity and imagination serve as a source of inspiration for the rest of this article, which shows that this issue has been a subject of intense debate in philosophy and in the philosophy of science and still presents a challenge in the 21st century. The essay states that absolute, objective truth is a myth. It describes that what counts as ‘truth’ in a particular era, is, among other things, the result of power relations. It suggests productive ways to deal with this problem in modern society, through deliberative, emancipatory processes of reflexivity (Weick 1999), participatory research and dialogue, facilitating innovation and generation of new solutions.

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?