We advance rigorous, hybrid Human-AI research bridging Big Historical Data, Complex Systems theory, and Policymaking.
Founded in 2026, the METIS Hub unites policymakers and researchers from history, archaeology, and paleoenvironmental sciences to integrate AI-driven research into public policy.
"Illuminating the past with AI, shaping the future through human choice."
We advance hybrid human-AI intelligence to deploy Big Historical Data and Complex Systems theory into actionable policy insight.
The METIS Hub drives rigorous research at the confluence of paleodisciplines, computational modeling, and governance. We believe the dynamics shaping our future, from state resilience to anthropogenic change, cannot be understood in isolation. By bringing data scientists together with historians, and complex systems theorists with policymakers, we build research frameworks that are technically cutting-edge and grounded in deep historical context.
From forecasting political fragility and tracking long-term inequality to unearthing the deep roots of environmental change, our researchers ensure that advanced AI amplifies human foresight to guide sound decision-making.
Six core research domains guide our investigations, each combining technical rigor with humanistic inquiry.
Studying how AI systems can model and interact with human cognitive processes β from attention and memory to reasoning and creativity. We develop computational models that explain, not just predict.
Examining the ethical, social, and political implications of AI systems. Our work develops frameworks for responsible AI deployment, algorithmic fairness, and meaningful human oversight.
Designing and studying systems where humans and AI work together. We investigate how to build trust, share agency, and create interfaces that amplify human expertise rather than replace it.
Exploring how AI systems understand and generate language, and what this reveals about human communication. We focus on semantic grounding, conversational understanding, and the limits of statistical language.
Developing AI-powered learning environments that adapt to individual students while respecting pedagogical principles. We study how intelligent tutors can support deep learning and metacognition.
Applying AI to support mental health, accessibility, and human flourishing. We design systems that are compassionate, privacy-preserving, and grounded in clinical evidence.
A selection of peer-reviewed papers and reports from our research community.
Meet some of the scholars and researchers driving our work.
Stay current with our research developments, conferences, and community events.
The National Science Foundation has awarded our institute a major grant to advance research on trustworthy AI systems that augment human expertise in healthcare and education.
Read more βWe invite submissions for our annual interdisciplinary symposium, bringing together researchers from computer science, philosophy, psychology, and design to explore the future of human-AI partnership.
Read more βOur team's landmark paper on how neural networks develop internal representations that parallel human conceptual structures has been published in Science magazine.
Read more βWe welcome inquiries from prospective researchers, collaborators, students, and the public.
Whether you're interested in joining our research community, proposing a collaboration, or simply curious about our work, we'd love to hear from you.