Leveraging AI-first capabilities to solve difficult problems and develop new applications for the benefit of society.
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We investigate conditions under which people, technologies and institutions understand, decide and perform. Each lab combines theoretical inquiry, experimental method and field-relevant evaluation.
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Common protocols govern research design, ethics, safety, standards of evidence and provenance, version control and review. We distinguish research questions, system architectures, specifications and observed results, ensuring that claims remain traceable to their methods, evidence and conditions.
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Understanding the social, cultural, and behavioural drivers of complex sociotechnical systems.
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Decision-making and performance under physical, environmental, cognitive and organisational extremes, including uncertainty, isolation, resource constraint and operational stress.
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The locus of intelligence in human-machine teaming - studying people, technologies, representations and institutions, and how these arrangements shape sensemaking, authority and action.
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Systems design, prototyping and evaluation for reliable, measurable performance, integrating human factors, operational requirements, verification and adaptation.