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?
Using language adequately within specific content areas can be challenging for students. In this study a curricular design was developed through a series of trials, with the aim to arrive at general principles for a pedagogy that helps students to write about an engineering (electronics) design. The curricular design was theoretically anchored in ‘genre pedagogy’ and in the pedagogy of engineering and technology. The interventions were carried out by one experienced teacher in one course, during three consecutive cycles of trialing and improving the curricular design. Qualitative data were analyzed using theory-based codes as well as codes that emerged from the data. The resulting design principles for teaching to write about (engineering) design are categorized as: setting a functional writing task, scaffolding the writing process, and a relevant, complete and feasible focus on language. For each of these, specifications are described.
We propose that writing can be employed to foster the kind of career learning required in the twenty-first century. The article offers insights into how writing exercises and approaches can be applied to help students construct their career stories in a way that allows them to engage in a dialogical learning process and work in a self-directed way. Creative, expressive and reflective writing practices are described and parallels are drawn between these and existing practices and theories in narrative career counselling. Key exercises in graduate courses for writing for personal development are discussed and a theoretical explanation is given as to why a particular order of approaches and exercises works best to promote career learning.
