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AUTOCD

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Building the First Automated Causal Discovery Platform

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 expl... ver más

29/02/2024

UNIVERSITY OF CRET...

Presupuesto desconocido

Líder del proyecto

PANEPISTIMIO KRITIS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-02-29

ERC-2022-POC1: ERC PROOF OF CONCEPT GRANTS1 Objective:Objectives:

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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UNIVERSITY OF CRETE

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Duración del proyecto: 17 meses Fecha Inicio: 2022-09-01
Fecha Fin: 2024-02-29

Líder del proyecto

PANEPISTIMIO KRITIS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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 algorithmic causal discovery choices and their hyper-parameters, (b) inferences regarding the strength of causal effects and exploration of what-if scenarios of possible interventions. Such automation has only become recently possible due to research performed of the origin ERC named CAUSALPATH. We will work with two industrial partners, namely Gnosis Data Analysis and Huawei to validate AutoCD on real data and problems. Gnosis commercializes the JADBio product, which is a SaaS AutoML platform with obvious synergies to AutoCD. It has an expressed interest in AutoCD for a potential licensing deal (see letter of intent). AutoCD parallels the development of automated machine learning (AutoML) libraries and platforms that is growing to a $14bil industry. The project will create an MVP at TRL 5 and a business plan to commercialize the product. The research team (2 Profs, 1 Ph.D. student, 1 scientific programmer) have extensive collective experience not only inventing and designing novel causal discovery algorithms. In addition, the PI is also the co-founder of Gnosis with extensive experience in creating deep tech AutoML products and commercializing them. He will devote 70% of his research time to the project.

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