Project description
Research collaboration for data-driven large-scale decision-making
As innovative AI technologies advance, dynamic decision-making becomes increasingly crucial in the ever-expanding Internet of Things (IoT) landscape. However, making dynamic decisions in large-scale uncertain systems poses challenges in modern data-rich operational environments. Traditional decision support systems are becoming obsolete in these settings, making it difficult to ensure fairness and transparency. The EU-funded TwinODIS project aims to revolutionise data-driven large-scale decision optimisation using AI technology and operational research analytical methods. The project will bring together specialists in computer science and large-scale decision intelligence from Dutch, French, and Greek research institutions. Through collaboration, extensive knowledge transfer, and training, the project seeks to advance the field.
Objective
Dynamic decision-making in large-scale uncertain systems poses significant challenges in modern data-rich operational environments. Traditional decision support systems struggle to manage vast and complex datasets in real time, while handling multiple conflicting objectives of high-dimensional problems and ensuring fairness and transparency in decision-making. A fundamentally new perspective is necessary to address these challenges by adopting a holistic, cross-disciplinary approach that bridges the realms of Artificial Intelligence (AI) and Operations Research (OR). This approach will pave the way for the next-generation Decision Intelligence systems, driving sustainable development and economic growth.
TwinODIS is a transformative project aimed to revolutionize data-driven large-scale decision optimization through the integration of AI technologies and OR analytical methods. A group of excellence will be established in the emerging field of Large-Scale Decision Intelligence, by twinning the Institute of Computer Science at the Foundation for Research & Technology-Hellas (FORTH, Greece) with two internationally-leading research institutions, namely, the Laboratory of Informatics Paris Descartes, Universit Paris Cit (UPC, France) and the Erasmus School of Economics, Erasmus University Rotterdam (EUR, Netherlands). The project leverages comprehensive knowledge transfer, training and networking programmes to elevate FORTH's scientific profile and research capacity, foster an innovation culture to attract industrial investments, engage in competitive EU projects, and enrich the skills of senior scientists in administrative and management aspects, positioning FORTH as a prominent AI-driven Decision Science Hub in Greece and South-Eastern Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project has not yet been classified with EuroSciVoc.
Be the first one to suggest relevant scientific fields and help us improve our classification service
You need to log in or register to use this function
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.
-
HORIZON.4.1 - Widening participation and spreading excellence
MAIN PROGRAMME
See all projects funded under this programme
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-CSA - HORIZON Coordination and Support Actions
See all projects funded under this funding scheme
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) HORIZON-WIDERA-2023-ACCESS-02
See all projects funded under this callCoordinator
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.
700 13 IRAKLEIO
Greece
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.