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BiD4BEST SIGNED

Big Data applications for Black hole Evolution STudies

Total Cost €

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EC-Contrib. €

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Partnership

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 BiD4BEST project word cloud

Explore the words cloud of the BiD4BEST project. It provides you a very rough idea of what is the project "BiD4BEST" about.

astrophysical    evolution    itn    data    experts    industry    observational    scientists    galaxy    team    hole    industrial    designed    transformational    2020s    quality    young    carefully    committees    light    community    anticipation    sectors    core    prepare    competences    synergies    bid4best    tools    individuals    innovative    events    mixed    mid    setting    science    coordinated    holes    compare    professionals    shed    supervisory    group    training    communication    master    numerical    mobilise    aspires    network    brings    services    interaction    skills    expertise    astrophysics    space    setup    academia    doctoral    galaxies    yield    observations    supermassive    theory    courses    big    physics    black    visible    transferable    edge    generate    analytics    volume    capacity    cutting    missions    technologies    astronomy    involvement    analytic    theoretical    observation    academic    combines    context    simulations    secondments    effort    exist   

Project "BiD4BEST" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF SOUTHAMPTON 

Organization address
address: Highfield
city: SOUTHAMPTON
postcode: SO17 1BJ
website: http://www.southampton.ac.uk

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 United Kingdom [UK]
 Total cost 3˙503˙442 €
 EC max contribution 3˙503˙442 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2019
 Funding Scheme MSCA-ITN-ETN
 Starting year 2020
 Duration (year-month-day) from 2020-03-01   to  2024-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF SOUTHAMPTON UK (SOUTHAMPTON) coordinator 606˙345.00
2    ALMA MATER STUDIORUM - UNIVERSITA DI BOLOGNA IT (BOLOGNA) participant 522˙999.00
3    ETHNIKO ASTEROSKOPEIO ATHINON EL (ATHINA) participant 486˙035.00
4    UNIVERSITY OF BATH UK (BATH) participant 303˙172.00
5    UNIVERSITY OF DURHAM UK (DURHAM) participant 303˙172.00
6    UNIVERSITEIT LEIDEN NL (LEIDEN) participant 265˙619.00
7    SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE IT (TRIESTE) participant 261˙499.00
8    LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 252˙788.00
9    FUNDACION DONOSTIA INTERNATIONAL PHYSICS CENTER ES (DONOSTIA SAN SEBASTIAN) participant 250˙904.00
10    INSTITUTO DE ASTROFISICA DE CANARIAS ES (SAN CRISTOBAL DE LA LAGUNA) participant 250˙904.00

Map

 Project objective

The BiD4BEST ITN will offer doctoral training in one of the most visible areas of astrophysical research, the formation of supermassive black holes in galaxies. A coordinated research training effort in this field is needed now to mobilise the community in Europe and prepare a core group of young scientists in anticipation of new observational data in the early/mid 2020s from future space missions with strong European involvement. These data will have the quality and volume to yield transformational science on the formation of black-holes in galaxies, as long as the necessary expertise and synergies among observation, theory and data analytics exist within the European astronomy community. We propose to achieve this goal by setting up a research training network that brings together leading scientists in observational and theoretical studies of black holes and galaxies, industrial experts in cutting-edge big-data technologies, and professionals in science dissemination. Together, we will setup doctoral research projects each of which combines state-of-the-art observations, numerical simulations and innovative analytic tools to compare theory with observation and shed light on the physics of black hole formation in the context of galaxy evolution. The training on expertise from different research areas (observational astronomy, theoretical astrophysics) and sectors (academic, industrial) will be achieved by carefully designed secondments, mixed doctoral supervisory committees (academia, industry), well coordinated events for team communication and interaction, as well as network-wide courses on astrophysics and transferable skills. The proposed research training programme aspires to generate individuals that in addition to academic competences, master big-data analytics and have the capacity to apply these technologies to solve problems in different sectors (research, industry, non-academic) by developing innovative products and services.

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The information about "BID4BEST" are provided by the European Opendata Portal: CORDIS opendata.

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