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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.

Field of science

  • /natural sciences/computer and information sciences/artificial intelligence
  • /natural sciences/computer and information sciences/artificial intelligence/computational intelligence
  • /humanities/languages and literature/languages - general
  • /natural sciences/computer and information sciences/data science/data processing
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning
  • /natural sciences/computer and information sciences/data science/data analysis

Call for proposal

H2020-COMPET-2017
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

KATHOLIEKE UNIVERSITEIT LEUVEN
Address
Oude Markt 13
3000 Leuven
Belgium
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 432 500

Participants (7)

UNIVERSITA DELLA CALABRIA
Italy
EU contribution
€ 150 000
Address
Via Pietro Bucci 7/11/B
87036 Arcavacata Di Rende
Activity type
Higher or Secondary Education Establishments
UNIVERSITA DI PISA
Italy
EU contribution
€ 121 000
Address
Lungarno Pacinotti 43/44
56126 Pisa
Activity type
Higher or Secondary Education Establishments
STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN
Netherlands
EU contribution
€ 219 190
Address
Winthontlaan 2
3526 KV Utrecht
Activity type
Research Organisations
SYSTHMATA YPOLOGISTIKIS ORASHS IRIDA LABS AE
Greece
EU contribution
€ 250 000
Address
Magoula
26500 Rio
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
CINECA CONSORZIO INTERUNIVERSITARIO
Italy
EU contribution
€ 128 750
Address
Via Magnanelli 6/3
40033 Casalecchio Di Reno Bo
Activity type
Research Organisations
SPACE CONSULTING INTERNATIONAL LLC
United States
EU contribution
€ 40 000
Address
26 Ross Road
03824 Durham Nh
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
France
EU contribution
€ 158 250
Address
Rue Michel Ange 3
75794 Paris
Activity type
Research Organisations