Using Generative AI (GenAI4EU ) for Scientific Research via EOSC
2025-09-18 17:00 (Europe/Paris)
Expected Outcome:
Project results are expected to contribute to the following outcomes:

EOSC will make available the high-quality machine-readable scientific datasets to be consumed by machine-driven Generative AI applications at the service of science in line with the GenAI4EU[1] initiative and other key EU initiatives, like the Apply AI strategy.
EOSC will facilitate the pooling and sharing of high-value data sets originated from EOSC and other data spaces identified as priorities (including, but not limited to, public sector, health, climate, environmental, manufacturing, agriculture, energy, financial and mobility data). The large-scale actions supported by EOSC will include the creation of common data platforms enabling secure and compliant sharing and reuse of sensitive, confidential, proprietary and personal data, as well as large-scale experimentation based on Generative AI, in line with the GenAI4EU initiative and other key EU initiatives, like the Apply AI strategy.

Scope:
The scope of this call is to demonstrate and foster the use of Generative AI for Scientific Research, in line with the GenAI4EU initiative and other key EU initiatives, like the Apply AI strategy, throughout the research data lifecycle supported by EOSC. Generative AI can be used for activities such as writing, data generation and analysis, reporting and many others, for improving productivity. This enables lifting science beyond the human scale by facilitating the deployment and use of smart algorithms, machine learning and AI services onto the Web of FAIR Data. The awareness and readiness of using Generative AI for scientific research must be raised by training activities.
AI-powered natural language interfaces can transform the way researchers interact with open science infrastructures, how they discover and combine relevant data, software and application assets. EOSC should evolve towards offering such capabilities in ways that ensure unbiased and trustworthy responses. This includes adopting FAIR practices, for AI-trained models as well, to address challenges ranging from reproducibility to trustworthiness.
Open Data and Open Research Software are essential for reliable, trustworthy, and transparent GenAI. They ensure that datasets and algorithms are well-documented, accessible, and reproducible, enabling others to validate and understand GenAI algorithms. This transparency fosters trust, supports ethical standards, and ensures compliance with regulations, particularly important in the field of GenAI.
The proposals shall focus on all following aspects:

Enrich the EOSC federation with Generative AI tools for evaluating research data quality, ensuring trustworthiness across the European network of trusted repositories, accessible by humans, machines, and Generative AI services: formulate protocols and policies to facilitate effortless data access, processing, and provenance updates within EOSC’s repository and service network.
Support European research infrastructures to improve the FAIRness of their data, so that they are ready to be combined with data of infrastructures in scientifically neighbouring domains, in order to provide Generative AI-ready data.

conduct pilots to validate the effectiveness and accuracy of the Generative AI-driven data quality evaluation methods, iteratively improving and refining them based on feedback and real-world use cases and removing the potential biases inherited from the training data.

Run community engagement and support programmes for implementing Generative AI in scientific workflows via EOSC:

promote a sound training programme to facilitate the uptake and the use of Generative AI as a means to facilitate the FAIRification of data and data curation;
demonstrate how Generative AI can facilitate quality assessment of FAIR data;
advance the realization of machine-actionable (MA) research data and services, including AI-based systems;
propose protocols and policies to govern automatic data workflows within the network of repositories and services.

The proposals are expected to deliver on one or more of the following:

Develop, promote and support real-life use cases for Generative AI models in scientific research domains, in line with the GenAI4EU initiative and other key EU initiatives, like the Apply AI strategy, such as:

augment datasets in scientific fields that rely on image analysis, such as biology, astronomy, and materials science: by generating synthetic images that closely resemble real data, researchers can expand their datasets, improve model robustness, share anonymized version of sensitive data and generalize better to unseen scenarios;
learn the underlying patterns of complex time-series data, such as sensor readings in environmental monitoring or physiological signals in healthcare: by generating data samples that match the learned distribution, these models can detect anomalies or deviations from normal behaviour;
accelerate materials design and discovery by predicting the properties of new materials without the need for extensive experimental testing: these models can generate novel material structures with desired properties, such as strength, conductivity, or catalytic activity, based on learned relationships between material compositions and properties;
advance drug design and molecular modelling by generating novel molecular structures with desired pharmacological properties: these models can explore vast chemical spaces, predict the interactions between molecules and biological targets, and optimize drug candidates for efficacy and safety;
simulate complex systems and phenomena in various scientific domains, such as physics, chemistry, and ecology: by capturing the underlying dynamics and interactions of the system, these models can generate realistic simulations that mimic observed behaviour or predict future outcomes under different conditions.

The proposers should take into account and leverage on the results of relevant projects in the field, including AI4EOSC[2], iMagine[3], EOSC Data Commons[4], RI-SCALE[5], and other developments within the scope of the GenAI4EU initiative and other key EU initiatives, like the Apply AI strategy.
This topic implements the co-programmed European Partnership for the European Open Science Cloud.
Proposals could consider the inclusion of the European Commission’s Joint Research Centre (JRC) research infrastructure in their research infrastructure portfolio for the creation and sharing or high-quality machine-readable scientific datasets to be consumed by machine-driven Generative AI applications. In this regard, the JRC will consider collaborating with any successful proposal.
[1] This call falls under the ‘GenAI4EU’ initiative as in the Communication from the Commission to the European Parliament, the Council, the European Economic And Social Committee and the Committee of the Regions on boosting startups and innovation in trustworthy artificial intelligence ((COM(2024) 28 final of 24.1.2024).
[2] https://ai4eosc.eu/
[3] https://www.imagine-ai.eu/
[4] Grant no 101188179 from the call HORIZON-INFRA-2024-TECH-01
[5] Grant no 101188168 from the call HORIZON-INFRA-2024-TECH-01

COST Open Call 2025
2025-10-21 12:00
Participants are invited to submit COST Action proposals contributing to the scientific, technological, economic, cultural or societal knowledge advancement and development of Europe. Multi- and interdisciplinary proposals are encouraged.
The Open Call Action proposal submission, evaluation, selection and approval (SESA) procedure is fully science and technology-driven and will ensure a simple, transparent and competitive proposal evaluation and selection process, reflecting the bottom-up, open and inclusive principles of COST.
Participants planning to submit a proposal for a COST Action will need to refer to the COST Open Call proposers guidelines and to the Open Call Announcement available on the Documents and Guidelines page.
All proposals are submitted via the dedicated online platform of the COST Association used for grant management, known as e-COST.

COMET-Zentren 2025: Exzellente themenoffene Forschung
2025-11-18 | Online
Exzellente Forschung an COMET-Zentren in Kooperation von Wissenschaft und Wirtschaft

In COMET-Zentren forschen Unternehmen gemeinsam mit Forschungseinrichtungen an einem mehrjährigen Forschungsprogramm.
COMET-Zentren betreiben exzellente, kooperative Forschung auf hohem internationalem Niveau und setzen neue Forschungsimpulse. Sie bauen entsprechende Kompetenzen und Humanressourcen auf und bieten Forscher:innen vielfältige Aus- und Weiterbildungsmöglichkeiten.
Erfolgreiche Zentren zeichnen sich durch die Dissemination von Forschungsergebnissen, sowohl in Form von innovativen Produkten, Prozessen und Dienstleistungen als auch durch eine hochrangige Publikationstätigkeit aus.
Internationalisierung als Qualitätsmerkmal exzellenter kooperativer Forschung zeigt sich insbesondere durch die Einbindung international renommierter Forscher:innen, Organisationen und Unternehmen sowie die Beteiligung an internationalen Projekten.
COMET Zentren tragen im Sinne der SDGs (Sustainable Development Goals) zur Lösung gesellschaftlicher Herausforderungen bei und unterstützen die Transformation der österreichischen Wirtschaft bei ihrem nachhaltigen Wandel.

Three open calls to grow the EOSC Federation
2026-02-18 17:00 | Online
Enrolment call of the EOSC Tripartite Governance
This call invites organisations to join the second wave of the EOSC Federation’s build-up phase, requiring them to enrol as an EOSC Node, submit a Project Charter, develop use cases, and demonstrate their capacity to function as a community gateway.
Total funding: No funding is provided through this call
Maximum grant amount: Not applicable

Preparatory grants under EOSC Gravity

hese grants are designed to support the preparatory work of potential future EOSC Nodes. The main objective is to develop a Project Charter for a subsequent, separate application to the Enrolment Call of the EOSC Tripartite Governance.
Total funding: €800,000
Maximum grant amount: €50,000 per project
Read the call text on EU Funding & Tenders Portal

Inter-project grants under EOSC Gravity
This call aims to expand the services offered through the EOSC Federation and to demonstrate the benefits for end users. This can be achieved in two ways: by developing scientific use cases, or by piloting the onboarding of new services into existing EOSC Nodes, without the requirement to become an EOSC Node at this stage.
Total funding: €400,000
Maximum grant amount: €50,000 per project
Read the call text on the EU Funding & Tenders Portal
