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Artificial Intelligence Data Analysis

Objective

AIDA brings a transformational innovation to the analysis of heliophysics data in four steps.

First, AIDA will develop a new open source software called AIDApp written in Python (a free language) and capable of collecting, combining and correlating data from different space missions. AIDApp wants to replace mission-specific tools written for costly languages (such as IDL) that exclude many scientists, students and amateur space enthusiasts from exploring the data, with a much-needed single platform where methods are shared and continuously improved by the whole community.

Second, AIDA will introduce modern data assimilation, statistical methods and machine learning (ML) to heliophysics data processing. Unlike traditional methods based on human expertise, these methods rely on statistics and information theory to extract features that are hidden in the data.

Third, AIDA will combine real data from space missions with synthetic data from simulations developing a virtual satellite component for AIDApp. This feature will be demonstrated in the comparison with existing mission data and in the planning of new missions (e.g. ESA’s THOR).

Fourth, AIDA will deploy in AIDApp methods of Artificial Intelligence (AI) to analyse data flows from heliophysics missions. This task requires bridging together competences in computer science and in heliophysics and pushes well beyond the current state of the art in space data analysis, connecting space researchers with AI, one of the fastest growing trends in modern science and industrial development.

AIDA will use the new AIDApp in selecting key heliophysics problems to produce a database (AIDAdb) of new high-level data products that include catalogs of features and events detected by ML and AI algorithms. Moreover, many of the AI methods developed in AIDA will themselves represent higher-level data products, for instance in the form of trained neural networks that can be stored and reused as a database of coefficients.

Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN
Net EU contribution
€ 432 500,00
Address
Oude Markt 13
3000 Leuven
Belgium
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
Region
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven

Participants (7)

UNIVERSITA DELLA CALABRIA
Italy
Net EU contribution
€ 150 000,00
Address
Via Pietro Bucci 7/11/B
87036 Arcavacata Di Rende
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
UNIVERSITA DI PISA
Italy
Net EU contribution
€ 121 000,00
Address
Lungarno Pacinotti 43/44
56126 Pisa
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00
STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN
Netherlands
Net EU contribution
€ 219 190,00
Address
Winthontlaan 2
3526 KV Utrecht
Activity type
Research Organisations
Non-EU contribution
€ 0,00
SYSTHMATA YPOLOGISTIKIS ORASHS IRIDA LABS AE
Greece
Net EU contribution
€ 250 000,00
SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 0,00
Region
Αχαΐα Δυτική Ελλάδα Κεντρική Ελλάδα
CINECA CONSORZIO INTERUNIVERSITARIO
Italy
Net EU contribution
€ 128 750,00
Address
Via Magnanelli 6/3
40033 Casalecchio Di Reno Bo
Activity type
Research Organisations
Non-EU contribution
€ 0,00
SPACE CONSULTING INTERNATIONAL LLC
United States
Net EU contribution
€ 40 000,00
SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Address
26 Ross Road
03824 Durham Nh
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Non-EU contribution
€ 0,00
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France
Net EU contribution
€ 158 250,00
Address
Rue Michel Ange 3
75794 Paris
Activity type
Research Organisations
Non-EU contribution
€ 0,00