CORDIS Project
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AutoCD aims to develop an automated software engine for causal discovery, making it accessible to non-experts in both scientific and industrial settings. The project focuses on automating the induction of causal models and exploring causal effects, enhancing productivity and enabling informed decision-making with minim…
Causal Discovery is desperately needed in both science and the industry, but it is largely inaccessible to non-experts.
AutoCD proposes to create the first automated causal discovery software engine and explore its commercial exploitation.
AutoCD will largely boost the productivity of experts as well as allow the application of causal discovery with minimal expertise.
It will provide functionalities such as (a) induction of causal models and causal relations from data by automatically tuning the…
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