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.
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