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Field
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develops LLMs and agentic AI systems for scientific discovery, engineering and physical systems. We investigate how AI can reason about scientific problems, interact with simulation software and support the
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agentic software can change the way scientists interact with complex imaging pipelines – for example, by allowing users to formulate analysis tasks at a high level while software agents orchestrate
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changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network
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generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across the network, human agency means the practical ability to understand AI
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on these workers, who sustain vital sectors such as logistics, construction and hospitality. Yet, a stark contrast exists between the high productivity of these sectors and the pervasive employment and housing
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explore new mathematical and computational approaches to represent such systems, drawing on ideas from stochastic processes, four-dimensional (space-time) modelling, complex systems, agent-based modelling
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dedicated to understanding the complex, pervasive, and persistent slavery-war nexus as it has evolved over the centuries. This dual-site research centre (led by the Department of War Studies at King’s College
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how AI is changing work. Its projects examine what happens when generative and agentic AI enters leadership, everyday workflows, team communication, professional learning and career decisions. Across
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stands where trees show severe crown deterioration or mortality and the causal agents remain unresolved. The project is based at the Southern Swedish Forest Research Centre in Alnarp and is part of Trees
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and the causal agents remain unresolved. The project is based at the Southern Swedish Forest Research Centre in Alnarp and is part of Trees For Me, a Centre of Excellence focused on fast-growing