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HORIZON EUROPE TOPIC · AI in Science (RAISE)

RAISE Doctoral Networks for AI in Science (RAISE pilot)

HORIZON-RAISE-2026-01-03 — the expected outcomes as checkable statements, what evaluators look for in this topic, and the conditions that shape the proposal.

OpenOTHERDeadline 24 November 2026

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TopicHORIZON-RAISE-2026-01-03
StatusOpen
CallHORIZON-RAISE-2026-01-MSCA — RAISE Doctoral Networks for AI in Science
Type of actionTMA MSCA Doctoral Networks
Opening28 May 2026
Deadline24 November 2026
BudgetEUR 90 million in total
TemplateWork Programme 2026–2027 application form

Expected outcomes

The topic does not say whether all outcomes must be addressed; treat them all as relevant. The topic says: “This action builds on the MSCA Doctoral Networks 2026 call (HORIZON-MSCA-DN-2026). The project results are expected to contribute to the following outcomes: For supported doctoral candidates:”

  1. EO1 New research and transferable skills and competences in the application of AI in science, leading to improved employability and career prospects within and outside academia.
  2. EO2 New knowledge allowing the conversion of ideas into products and services, where relevant.
  3. EO3 Enhanced networking and communication capacities with scientific peers, as well as with the general public that will increase and broaden the research and innovation impact.
  4. EO4 Improved quality, relevance and sustainability of doctoral training programmes and supervision arrangements.
  5. EO5 Enhanced cooperation and transfer of knowledge between sectors and disciplines.
  6. EO6 Increased integration of training and research activities between participating organisations.
  7. EO7 Boosted R&I capacity and uptake of AI in science.
  8. EO8 Increased internationalisation and attractiveness.
  9. EO9 Regular feedback of research results into teaching and education at participating organisations.

What evaluators will look for in this topic

Expected outcomes

  • The topic does not say whether all outcomes must be addressed; treat them all as relevant.
  • For each outcome (EO1 to EO9), name who will use or adopt your results (a specific group, not “industry” or “society”), how they get them, and the indicator that shows the change, with baseline, target and date.
  • Use the topic's own words for each outcome, so the evaluator can tick it off.

What the scope asks for

Evaluators check the proposal against these sentences of the scope. Answer each one visibly, in the call's own words.

  • “Proposals should therefore clearly specify how they meet this “AI in science” criterion.”
  • “These systems, models, tools or methodologies must substantially innovate the way in which scientific information is analysed and enable a scientific contribution that furthers the state of the art in the discipline of the doctoral research.”
  • “All doctoral candidates should receive dedicated doctoral-level training on AI in science (understood as outlined above).”
  • “In order to apply for the RAISE Doctoral Networks call, applicants must submit their proposal to the Marie Skłodowska-Curie actions (MSCA) Doctoral Networks 2026.”
  • “At proposal stage, applicants will be able to declare their interest in being considered for the RAISE Doctoral Networks and, if so, they should demonstrate that their proposal falls within the scope of the RAISE call.”
  • “The proposals submitted under the RAISE Doctoral Networks must fulfil all the admissibility and eligibility conditions of the MSCA Doctoral Networks 2026.”

Conditions that shape the proposal

  • Other Eligible Conditions: “The following additional eligibility criteria apply: The proposals submitted under the RAISE Doctoral Networks must fulfil all the admissibility and eligibility conditions of the MSCA Doctoral Networks call 2026 and pass all the thresholds for that call.”
  • Other Eligible Conditions: “described in the MSCA part of the Work Programme.”
  • Evaluation and award: Award criteria, scoring and thresholds: “are described in the MSCA part of the Work Programme.”
  • Evaluation and award: Submission and evaluation processes: “The following additions to the general award criteria apply: For application of the general award criteria, including weighting and thresholds, see the specific conditions at the end of the MSCA Work Programme part.”
  • Evaluation and award: Submission and evaluation processes: “For admissibility, eligibility criteria, procedure and legal and financial set-up of the Grant Agreement see exceptions and specific conditions for MSCA Doctoral Networks in the MSCA Work Programme part.”
  • Evaluation and award: Submission and evaluation processes: “The expected EU contribution depends on the number of person-months requested. For the applicable unit contributions, see specific conditions for MSCA Doctoral Networks in the MSCA Work Programme part.”

Impact pathway and traps

  • The scope expects pilots or demonstration. Name the sites, the partners who run them and what is measured there.
  • Keep outputs, outcomes and impacts apart: what you deliver, what changes when others use it, and the long-term effect.
  • Link your outcomes to the destination's expected impacts in the Work Programme. Destination impacts are long-term effects, not project deliverables.
  • Name the barriers outside the project (regulation, markets, user behaviour) that could block uptake, and what you will do if they do.
  • Section 2.3 (the summary canvas) is optional on this call; the old split into scientific, economic and societal impact is no longer required.
The scope, as published

Successful RAISE Doctoral Networks and doctoral candidates will be associated with RAISE, the Resource for AI Science in Europe. They will become part of the RAISE research community and will interact with its other members. As such, the scope of this call is limited to AI (artificial intelligence) in science, as outlined below. Proposals should therefore clearly specify how they meet this “AI in science” criterion. Doctoral candidates are to either develop or significantly participate in the development of innovative AI systems, models, tools or methodologies for their scientific domain. These systems, models, tools or methodologies must substantially innovate the way in which scientific information is analysed and enable a scientific contribution that furthers the state of the art in the discipline of the doctoral research. The development of the AI tool, model or methodology is to be an integral and indispensable part of the research work and be clearly delineated in the research work package. The scientific advancements of the project are to be directly dependent on the capabilities and application of these AI algorithms to drive the scientific inquiry, prediction, or understanding. Proposals are to achieve research results in the domain-scientific discipline of the doctoral research through using innovative AI techniques, going beyond a unique focus on computer-scientific AI development (e.g. to result in publications only in computer-scientific AI-related venues) or the use of existing AI systems, methodologies or general-purpose computational tools for data processing/statistical analysis in an instrumental way. All doctoral candidates should receive dedicated doctoral-level training on AI in science (understood as outlined above). In order to apply for the RAISE Doctoral Networks call, applicants must submit their proposal to the Marie Skłodowska-Curie actions (MSCA) Doctoral Networks 2026. At proposal stage, applicants will be able to declare their interest in being considered for the RAISE Doctoral Networks and, if so, they should demonstrate that their proposal falls within the scope of the RAISE call. The proposals submitted under the RAISE Doctoral Networks must fulfil all the admissibility and eligibility conditions of the MSCA Doctoral Networks 2026. The RAISE proposals will be evaluated applying the MSCA award criteria and the MSCA scoring system. At the end of the MSCA evaluation procedure, a cross-panel list of fundable RAISE proposals will be established with the highest-ranking reserve list proposals. The list would be ranked according to the MSCA evaluation scores and comprise proposals with a requested budget as close as possible to 3 times the available budget. Experts will assess the relevance of the proposals on this list to the RAISE topic. The final ranking of the RAISE proposals will be established taking into consideration the MSCA score and the assessment of the relevance of the proposal to the RAISE topic.

Source and attribution

Topic text from the official topic page on the EU Funding & Tenders Portal, retrieved 19 October 2026. © European Union, reused under Commission Decision 2011/833/EU (CC BY 4.0). Changes: the expected outcomes and impacts are split into numbered statements, long passages are shortened, and the evaluator checklist is GrantWise's own commentary. Your call and the Work Programme always win; check them before you submit. GrantWise is independent and not affiliated with, endorsed by, or acting on behalf of the European Commission.