Objective
Tackling critical global challenges – climate change, personalized healthcare, or pandemic preparedness – demands robust quantification and understanding of 'if-then' relationships in complex spatio-temporal systems. Traditional dynamical models are limited by oversimplifications and computational constraints, while powerful hybrid models leveraging machine learning (ML) lack the interpretability and generalization capabilities essential for entrusting them with policy guidance. Filling this glaring research gap, DYNAMICAUS develops novel methods for reliable causal inference in such systems, overcoming existing limitations. I will establish a theoretical foundation for causal effects in hybrid dynamical models, develop robust uncertainty quantification techniques under unseen interventions augmented by active data acquisition to reduce uncertainty, and quantify the overall impact of steerable inputs on target outcomes. My methods will be validated across critical domains – climate modeling, treatment planning, and epidemic simulations – demonstrating universal applicability and profound potential for informing policy on pressing societal challenges. By integrating an ethicist directly into the research process from the outset, I proactively address societal implications, ensuring my methodological advancements are positioned to achieve positive social impact. With my unparalleled track record of leveraging machine learning expertise for social good by pushing the boundaries in scientific applications as well as my pioneering work on extending the scope of causal inference and hybrid dynamical systems modeling, this timely project is uniquely positioned to break new ground at the intersection of dynamical systems, causality, and socially beneficial machine learning.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2025-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
85764 Neuherberg
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.