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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.

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

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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