This essay presents the concept of sustainability intelligence as a possible response to the current unsustainable course of society. We expound on the three components shaping this concept – naive intelligence, native intelligence, and narrative intelligence – and argue why they could thus serve as inspiration and key reference points for rising to our collective sustainability challenge. The essay ends with a brief exploration of the wider practical, policy and political implications of the concept.
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This article provides a narrative response to a precariousness labour situation. The question it attempts to answer is: how does one cope with the precariousness and injustices of contemporary employment without becoming pessimistic or hopeless? The piece, based on the author’s personal experience, argues that we can tell and write our career narrative and with that influence our response. "This is the peer reviewed version of the following article: Reinekke Lengelle, Narrative Self-rescue: A Poetic Response to a Precarious Labour Crisis, New Horizons in Adult Education and Human Resource Development, 28 (1), 46-49, which has been published in final form at https://doi.org/10.1002/nha3.20130. LinkedIn: https://www.linkedin.com/in/reinekke-lengelle-phd-767a4322/
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Information about a research study on how data science and artificial intelligence can contribute to modern education aimed at identifying and developing talents of students. De presentatie is gepubliceerd onder de titel: Future skills : and whre to find them?
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Entangled Machines is a project by Mariana Fernández Mora that interrogates the colonial and extractive legacies underpinning artificial intelligence (AI). By introducing slowness and digital kinship as critical frameworks, the project reconceptualises AI as embedded within intricate social and ecological networks, thereby contesting dominant narratives of efficiency and optimisation. Through participatory, practice-based methodologies such as the Material Playground, the project integrates feminist and non-Western epistemologies to articulate alternative models for ethical, sustainable, and equitable AI practices. Over a four-year period, Entangled Machines develops theory, engages diverse communities, and produces artistic outputs to reimagine human-AI interactions. In collaboration with partners including ARIAS Amsterdam, Archival Consciousness, and the Sandberg Institute, the research seeks to foster decolonial and interdisciplinary approaches to AI. Its culmination will be an “Anarchive” – a curated assemblage of artistic, theoretical, and archival outputs – that serves as a resource for rethinking AI’s socio-political and ecological impacts.
