CORDIS Project
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The GOY project explores the integration of causal inference and graph databases. It aims to develop tools and theories for managing causal graphs, enhancing the ability to analyze and query complex data relationships effectively.
Graphs are expressive data structures representing more effectively relationships in data and enabling complex data-intensive tasks.
Graphs are also a widely adopted paradigm in causal inference focusing on causal directed acyclic graphs.
Causal DAGs (Directed Acyclic Graphs) are manually curated by domain experts, but they are not validated, stored, integrated and versioned as data artifacts in a graph data system.
In the GOY (pronounced GO Why) project, I focus on a radical shift towards causa…
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