We need to bridge the significant gap in Causal Discovery between theory and practice.
If successful, CAUSALPATH will impact science in several ways and create new opportunities for science.
Welcome !


CAUSALPATH is an ERC (European Research Council) Consolidator Grant awarded through the IDEAS programme for the research proposal titled ‘Next Generation Causal Analysis: Inspired by the Induction of Biological Pathways from Cytometry Data’.

CAUSALPATH aims to

  • advance causal discovery theory, methods, and tools in directions that are practical, useful, robust, and accurate in real settings, thus creating a Next Generation Causal Analysis paradigm important to all data-analysis sciences and

  • allow the accurate, efficient, personalized induction of formal, quantitative causal models of biological pathways from cytometry datasets coupled with other omics data and prior knowledge; the primary focus will be the pathways involved in the differentiation of human T-cells.

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Αριστοτέλης, Μετά τα φυσικά, 993β, 25-26

"We do not know a truth without knowing its cause"

Aristotle, Metaphysica, 993b, 25-26

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