String Data is the leading international conference at the intersection of string theory, data science, and machine learning. Since its inception, the series has grown into a vibrant forum where theorists, mathematicians, and computer scientists exchange ideas on how modern data-driven techniques can address foundational questions in physics. The 2025 edition continues this tradition, bringing together researchers from academia and industry to explore advances in the application of AI to the string landscape, quantum field theory, and beyond. This year’s program features keynote talks, contributed presentations, a poster session, and collaborative discussion formats designed to foster interdisciplinary breakthroughs.
Organisers
Yang-Hui He (LIMS)
Sven Krippendorf (Cambridge)
Challenger Mishra (Cambridge)
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