AI for REAL-world NETwork operation

Informacje na temat projektu

AI4REALNET

Identyfikator umowy o grant: 101119527

DOI

10.3030/101119527

Data podpisania przez KE 29 Czerwca 2023

Data rozpoczęcia 1 Października 2023

Data zakończenia 31 Marca 2027

Finansowanie w ramach

• Digital, Industry and Space

Koszt całkowity

€ 3 999 976,25

Wkład UE

€ 3 999 976,25

Koordynowany przez

INESC TEC - INSTITUTO DE ENGENHARIADE SISTEMAS E COMPUTADORES, TECNOLOGIA E CIENCIA
Portugal

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (4)

Communication and dissemination plan

This report will establish the basis for the development of a common communication and dissemination, plan in the project.

Exploitation plan and strategy phase 1

This report will establish a first basis for the development of individual and common exploitation plan in the project, including IPR considerations and open-source strategy.

AI4REALNET framework and use cases

This report will provide a qualitative description of human real-world decision-making and requirements for AI-based decision systems and understanding how context shapes individual decision-making. Moreover, it will present the use cases description and key performance indicators.

Position paper on “AI for operation of critical energy and mobility network infrastructures”

Position paper describing the AI4REALNET view on AI for the operation of critical infrastructures, including scientific research challenges.

Data Management Plan (1)

Data management plan V1

Report that will define how research data will be handled during and after the project. This plan will define procedures on how to handle, store and share datasets according to the FAIR principles. It will describe which data will be collected, processed, or generated, methodologies and standards to follow, whether and how this data will be shared and/or made open, and how it will be curated and preserved. Furthermore, it will give consideration to the ethics issues raised by the proposed work, in particular, it will provide a description of the ethical procedures in order to allow a Ethics Check during the Project Review.