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INFORE SIGNED

Interactive Extreme-Scale Analytics and Forecasting

Total Cost €

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EC-Contrib. €

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Partnership

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 INFORE project word cloud

Explore the words cloud of the INFORE project. It provides you a very rough idea of what is the project "INFORE" about.

domains    deal    approximation    expert    fight    repeated    grow    evolution    vast    volumes    cells    data    programmers    surveillance    price    extreme    prototype    vessel    world    stock    workflows    effort    autonomous    forecast    position    portfolio    flows    time    programmable    acoustic    scientific    analytics    sciences    tick    undesired    tune    resource    simulation    interactive    valuable    outcome    indicators    rate    spent    flexible    rely    at    pave    maritime    scientists    streaming    pluggable    consuming    emitted    software    massive    infrastructure    tested    amount    sources    signals    good    producing    programming    infore    drug    hundreds    demanding    multitude    combine    vessels    thousands    graphical    domain    hpc    synergies    wait    tumor    industrial    otherwise    outcomes    cancer    cellular    unmanned    distributed    simulations    forecasting    combined    pricing    architecture    computational    life    dramatically    predict    instance    save    financial    streams    vain    velocity   

Project "INFORE" data sheet

The following table provides information about the project.

Coordinator
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS 

Organization address
address: ARTEMIDOS 6 KAI EPIDAVROU
city: MAROUSSI
postcode: 151 25
website: www.athena-innovation.gr

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 Greece [EL]
 Total cost 4˙435˙586 €
 EC max contribution 4˙435˙586 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2018-2
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2021-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS EL (MAROUSSI) coordinator 834˙687.00
2    RAPIDMINER GMBH DE (DORTMUND) participant 653˙850.00
3    "NATIONAL CENTER FOR SCIENTIFIC RESEARCH ""DEMOKRITOS""" EL (AGIA PARASKEVI) participant 646˙875.00
4    SPRING TECHNO GMBH & CO KG DE (BREMEN) participant 599˙218.00
5    NATO SCIENCE AND TECHNOLOGY ORGANISATION BE (BRUXELLES) participant 515˙405.00
6    BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION ES (BARCELONA) participant 502˙500.00
7    MARINTRAFIK OPEREISONS ANONYMI ETAIREIA PLIROFORIKIS EL (ATHINA) participant 465˙625.00
8    FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA IT (GENOVA) participant 153˙340.00
9    FUNDACIO CENTRE DE REGULACIO GENOMICA ES (BARCELONA) participant 64˙084.00

Map

 Project objective

At an increasing rate, industrial and scientific institutions need to deal with massive data flows streaming in from a multitude of sources. For instance, maritime surveillance applications combine high-velocity data streams, including vessel position signals emitted from hundreds of thousands of vessels across the world and acoustic signals of autonomous, unmanned vessels; in the financial domain, stock price forecasting and portfolio management rely on stock tick data combined with real-time information sources on various pricing indicators; at the fight against cancer, complex simulations of multi-cellular systems are used, producing extreme-scale data streams in an effort to predict the effects of drug synergies on cancer cells. In these applications, the data volumes are expected to dramatically grow in the future. Processing this data often requires not only using an HPC infrastructure, but also having data scientists, who are typically not expert programmers, program complex workflows, with a vast number of parameters to tune through time-consuming repeated programming and testing. INFORE will address these challenges and pave the way for real-time, interactive extreme-scale analytics and forecasting. The ability to forecast, as early as possible, a good approximation to the outcome of a time-consuming and resource-demanding computational task allows to quickly identify undesired outcomes and save valuable amount of time, effort and computational resources, which would otherwise be spent in vain. Consider, for example, the ability to forecast the outcome of a complex multi-cellular system simulation for tumor evolution, without the need to wait for the simulation to be completed. INFORE will also design and develop a flexible, pluggable, distributed software architecture that is programmable and set up by graphical data processing workflows. The INFORE prototype will be tested on massive real-world data from the life sciences, financial and maritime domains.

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

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