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Narrative identity

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.

Watching the detectives : reflections on dissertations of MACESS students

Observations upon research carried out by post-graduate students on the M.A Comparative European Social Studies. This article follows an earlier article (Lawrence and Reverda, Social Work in Europe, Vol. 5. No. 3, 1998) which discussed the origin and development of the MACESS course. This article explores the complexity of comparative research as a methodology for exploring social work as a contribution to developing European perspectives on Social Policy and Social Professional Work Theory and Practice.

Characterizing the investigative methods of fictional detectives with Large Language Models.

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?

Take root among the stars

Head-mounted displays (HMDs) have been available for several years now, but uptake has been slow so far. The objective of this study was to gain insight into preferences on anticipated use in the early phase of HMDs with augmented reality. A survey was conducted among Dutch students following a nursing or social work education (N=100). Results showed that almost nobody had ever used a HMD. The areas of high interest of anticipated use of HMDs lies especially in receiving information regarding emergencies via the HMD if something is happening close to people's physical location and news and general information about physical location. For potential use functionalities, the most interesting functions reported by respondents were using HMDs for hands-free calling and receiving information about their behavioral patterns with regard to movement. The attitudes towards receiving non-visible cues in social interaction such as detecting stress levels or mood were all reported with a negative attitude. More than half of the respondents reported to have an intention to use a HMD in the future.

Rapid DNA Technologies at the Crime Scene