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Computational Assistants for Scientific Discovery

Project description

Empowering discovery through human-centric AI

The purpose of AI research assistance tools is to assist scientists in carrying out tasks such as analysing data. The ERC-funded CASIDO project aims to demonstrate how AI can accelerate scientific discovery to address pressing issues such as climate change and human health. The ERC-funded CASIDO project aims to develop human-centric AI research assistance technologies which can be used by researchers from all domains. CASIDO assists scientists in engaging with content and developing new and innovative ideas. By considering the factors related to trust and interpretability, the CASIDO project hopes to prevent AI from taking the place of human creativity in innovation. In addition, the project will track the development of scientific concepts, which would radically transform scientific innovation worldwide.

Objective

Societal challenges like climate change, healthcare, and food security demand rapid scientific and technological innovation. Recently, AI demonstrated its transformative potential for biology, chemistry, and materials science. However, while AI already excels in domain-specific tasks, its role as a general-purpose research assistant remains underexplored, even though this use case could fundamentally enhance scientific discovery as a whole. This proposal aims at developing human-centric AI assistants to support researchers by addressing cognitive challenges, fostering creativity, and enabling new research across disciplines. More concretely, we will develop:

(A) Structured document models to analyze and relate content within and across documents;

(B) Computational methods for predicting and understanding scientific impact;

(C) Hierarchical models to map the evolution of scientific concepts over time; and

(D) Ideation assistants to support researchers in generating novel and impactful ideas.

Our human-centric approach will focus on trust, interpretability and user agency, ensuring that AI serves as an enabler rather than a replacement for human intellect. By deploying the models via our Scholar Inbox research platform, we will provide easy access to the developed tools and evaluate their long-term impact on scientific discovery across all fields of science.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

(opens in new window) ERC-2025-COG

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Host institution

EBERHARD KARLS UNIVERSITAET TUEBINGEN
Net EU contribution
€ 1 998 803,00
Address
GESCHWISTER-SCHOLL-PLATZ
72074 Tuebingen
Germany
Region
Baden-Württemberg Tübingen Tübingen, Landkreis
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 1 998 803,00

Beneficiaries (1)