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What is this?
A transnational funding initiative for bilateral research projects Germany–USA in Computational Neuroscience. It supports collaborative research projects and projects for shared use of data and other resources. Aim: accelerate methodological advances and understanding of complex neuroscience questions through international, interdisciplinary collaboration, data/software resource sharing, and training.
Who can apply (Germany side):
- Eligible: Public/state-recognized universities, non-university research institutions, and companies (including SMEs).
- Requirements: At the time of payment, German applicants must have a site in Germany (or a non-economic unit for HEIs/research orgs).
- University hospitals: Eligible if research/teaching competence is assigned by state law.
- Companies: Subject to state aid rules under AGVO/GBER; own contribution required for economic activities.
- Track record: Applicants must show relevant prior work in computational neuroscience.
- Bilateral setup: US partners must submit to NSF under CRCNS; German funding covers the German side.
What will be funded (high level):
- Collaborative research on theory, modeling, analysis, disease/normal function, multilevel organization and information processing of the nervous system; encourages complementary expertise across disciplines.
- Data/resource sharing projects to prepare and provide data, software, codebases, models or other resources that broadly enable progress (focus on using/extending existing datasets/services; not general infrastructure build-out).
- Education & training elements are explicitly welcome (e.g., student exchanges, capacity building).
Key standards & quality requirements:
- Projects must follow high methodological quality, consider international state of the art, and ensure continuous methodological expertise.
- Where applicable, adhere to recognized standards: Helsinki, ICH-GCP, EU 536/2014, 2017/745, 2017/556, CONSORT, STARD, PRISMA, ARRIVE.
- Open Science & Data: Open access encouraged; research data management plan required; FAIR principles and persistent identifiers recommended; deposit data post–first use in suitable repositories.
Collaboration rules:
- A German consortium coordinator is named; a cooperation agreement is required before funding decision.
- No indirect state aid to companies within consortia (follow FuEuI framework 2.2).
- Contact persons are the leaders of each subproject (nationally).
Funding form & duration:
- Non-repayable grants (project funding).
- Non-economic research: up to 100% of eligible expenses/costs (HEIs/research orgs); 20% project flat rate for HEI/medical faculties.
- Economic activities/companies: aid intensities per AGVO; partial funding; adequate own contribution required.
- Typical project length: up to 5 years.
Deadlines:
- Pre-proposal (to NSF): 12 November 2025 (electronic submission; not an exclusion deadline, but late sketches may not be considered).
- Full proposal: by invitation only after stage 1; no fixed date provided
Important participation conditions (selected):
- Bilateral DE–USA collaboration is mandatory (German + US group).
- Clear division of work, complementarity, and added value of international collaboration must be shown.
- Ethics approvals and standards as applicable; costs for university ethics committee opinions are not eligible.
- IP & dissemination: Publication/patent expected for each project; open access strongly encouraged (≤ 12-month embargo suggested).
- Science communication activities and reasonable CO₂ offset costs for travel are eligible.
Expected Outcome
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Advance understanding of principles and dynamics of the nervous system and/or develop new/improved methods for studying structure, function, organization, and information processing.
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Strengthen international, interdisciplinary collaboration and the shared use of data/software/resources to accelerate breakthroughs.
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Build a global community of experts and expand research capacity via education/training and mobility (including student/early-career experience).
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Deliver publishable or patentable results from each project to contribute to program goals.
(Bracketed context: “Policy goals” emphasize research excellence, effective DE–USA cooperation, reproducibility/open science, and societal benefit via improved understanding and potential impacts on prevention/therapy of neurological diseases.)
Scope
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Type A – Cooperative research projects: Innovative, collaborative work on theory, modeling, analysis, multi-level neural organization and processing (disease and normal function), and impacts on biological/engineered systems. Proposals must show interdisciplinary depth, complementary expertise, and plans to leverage existing datasets/collections where possible.
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Type B – Data/resource sharing projects: Preparation and provision of datasets, software, code, models, or other resources that enable broad progress in computational neuroscience. Focus is on using/expanding existing data/resources, not general infrastructure creation or new data generation. Coordination with other data-sharing efforts (national/international) is encouraged.
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Training & capacity building are welcome in all projects; international experience for students/early-career researchers is supported in internationally collaborative projects.
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