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AIDA SIGNED

Artificial Intelligence Data Analysis

Total Cost €

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EC-Contrib. €

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Partnership

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Project "AIDA" data sheet

The following table provides information about the project.

Coordinator
KATHOLIEKE UNIVERSITEIT LEUVEN 

Organization address
address: OUDE MARKT 13
city: LEUVEN
postcode: 3000
website: www.kuleuven.be

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 1˙499˙690 €
 EC max contribution 1˙499˙690 € (100%)
 Programme 1. H2020-EU.2.1.6.3. (Enabling exploitation of space data)
 Code Call H2020-COMPET-2017
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KATHOLIEKE UNIVERSITEIT LEUVEN BE (LEUVEN) coordinator 432˙500.00
2    SYSTHMATA YPOLOGISTIKIS ORASHS IRIDA LABS AE EL (RIO) participant 250˙000.00
3    STICHTING NEDERLANDSE WETENSCHAPPELIJK ONDERZOEK INSTITUTEN NL (UTRECHT) participant 219˙190.00
4    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) participant 158˙250.00
5    UNIVERSITA DELLA CALABRIA IT (ARCAVACATA DI RENDE) participant 150˙000.00
6    CINECA CONSORZIO INTERUNIVERSITARIO IT (CASALECCHIO DI RENO BO) participant 128˙750.00
7    UNIVERSITA DI PISA IT (PISA) participant 121˙000.00
8    SPACE CONSULTING INTERNATIONAL LLC US (DURHAM NH) participant 40˙000.00

Map

 Project 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.

 Deliverables

List of deliverables.
Report on the identification of numerical simulations to analyze and on the collection of data by virtual spacecraft Documents, reports 2020-03-11 14:41:23
Graphic image, dissemination and outreach plan Websites, patent fillings, videos etc. 2020-03-11 14:41:24
Minutes of the 1st Advisory Board meeting Documents, reports 2020-03-11 14:41:28
Data Management Plan version 1.0 Open Research Data Pilot 2020-03-11 14:41:27
Report on application of DA techniques to OpenGGCM Documents, reports 2020-03-11 14:41:24

Take a look to the deliverables list in detail:  detailed list of AIDA deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Jérémy Dargent, Federico Lavorenti, Francesco Califano, Pierre Henri, Francesco Pucci, Silvio S. Cerri
Interplay between Kelvin–Helmholtz and lower-hybrid drift instabilities
published pages: 1/19, ISSN: 0022-3778, DOI: 10.1017/s0022377819000758
Journal of Plasma Physics 85/6 2020-02-19
2020 Romain Dupuis, Martin V. Goldman, David L. Newman, Jorge Amaya, Giovanni Lapenta
Characterizing Magnetic Reconnection Regions Using Gaussian Mixture Models on Particle Velocity Distributions
published pages: 22, ISSN: 1538-4357, DOI: 10.3847/1538-4357/ab5524
The Astrophysical Journal 889/1 2020-02-19
2019 Oreste Pezzi, Giulia Cozzani, Francesco Califano, Francesco Valentini, Massimiliano Guarrasi, Enrico Camporeale, Gianfranco Brunetti, Alessandro Retinò, Pierluigi Veltri
ViDA: a Vlasov–DArwin solver for plasma physics at electron scales
published pages: 1/25, ISSN: 0022-3778, DOI: 10.1017/s0022377819000631
Journal of Plasma Physics 85/5 2020-02-19
2019 Francesco Pecora, Francesco Pucci, Giovanni Lapenta, David Burgess, Sergio Servidio
Statistical Analysis of Ions in Two-Dimensional Plasma Turbulence
published pages: , ISSN: 0038-0938, DOI: 10.1007/s11207-019-1507-6
Solar Physics 294/9 2019-09-16
2019 Olga Malandraki, Olga Khabarova, Roberto Bruno, Gary P. Zank, Gang Li, Bernard Jackson, Mario M. Bisi, Antonella Greco, Oreste Pezzi, William Matthaeus, Alexandros Chasapis Giannakopoulos, Sergio Servidio, Helmi Malova, Roman Kislov, Frederic Effenberger, Jakobus le Roux, Yu Chen, Qiang Hu, N. Eugene Engelbrecht
Current Sheets, Magnetic Islands, and Associated Particle Acceleration in the Solar Wind as Observed by Ulysses near the Ecliptic Plane
published pages: 116, ISSN: 0004-637X, DOI: 10.3847/1538-4357/ab289a
The Astrophysical Journal 881/2 2019-09-16
2019 E. Camporeale
The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting
published pages: , ISSN: 1542-7390, DOI: 10.1029/2018sw002061
Space Weather 2019-09-04
2019 Leonardo Primavera, Francesco Malara, Sergio Servidio, Giuseppina Nigro, Pierluigi Veltri
Parametric Instability in Two-dimensional Alfvénic Turbulence
published pages: 156, ISSN: 0004-637X, DOI: 10.3847/1538-4357/ab29f5
The Astrophysical Journal 880/2 2019-09-16

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The information about "AIDA" are provided by the European Opendata Portal: CORDIS opendata.

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