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BIGMATH SIGNED

Big Data Challenges for Mathematics

Total Cost €

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EC-Contrib. €

0

Partnership

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Project "BIGMATH" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DEGLI STUDI DI MILANO 

Organization address
address: Via Festa Del Perdono 7
city: MILANO
postcode: 20122
website: www.unimi.it

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 Italy [IT]
 Total cost 1˙747˙505 €
 EC max contribution 1˙747˙505 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2018
 Funding Scheme MSCA-ITN-EID
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2022-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DEGLI STUDI DI MILANO IT (MILANO) coordinator 522˙999.00
2    TECHNISCHE UNIVERSITEIT EINDHOVEN NL (EINDHOVEN) participant 531˙239.00
3    INSTITUTO SUPERIOR TECNICO PT (LISBOA) participant 475˙440.00
4    University of Novi Sad Faculty of Sciences RS (Novi Sad) participant 217˙825.00
5    3LATERAL DOO NOVI SAD RS (NOVI SAD) participant 0.00
6    ACOMEA SOCIETA DI GESTIONE DEL RISPARMIO S.P.A. IT (MILANO) participant 0.00
7    CENTAR ZA INVESTICIJE I FINANSIJE DOO, BEOGRAD (VRACAR) RS (BELGRADE) participant 0.00
8    CREDIMI SPA IT (MILANO) participant 0.00
9    SDG CONSULTING ITALIA SPA IT (MILANO MI) participant 0.00
10    SIOUX LIME BV NL (EINDHOVEN) participant 0.00
11    UROBOPTICS - TECHNICAL CONSULTING & RESEARCH, LDA PT (OLIVEIRA DO HOSPITAL) participant 0.00

Map

 Project objective

BIGMATH is aimed to train a group of young, creative mathematicians with strong theoretical and practical skills, needed to tackle the major challenges of the Big Data era. They will also be trained in a wide set of “soft skills” that enable them to transfer effectively their knowledge to the productive world, thus fostering the European market to create innovation. These abilities will result from a close partnership between academy, providing the students with up-to-date training and knowledge on cutting-edge research on targeted mathematical disciplines, and a group of industries, who will complete the competences of the ESRs by exposing them to a set of Big Data-related real industrial problems. The main domains of interest of the BIGMATH project lie in the areas of optimization, statistics, and large-scale linear algebra for Big Data, which are the most relevant mathematical topics for effective machine learning techniques and ability to build good data-driven products. The effectiveness of the training program that we propose strongly relies on the involvement and close collaboration of universities with the non-academic sector, since Big Data challenges cannot be tackled only through theoretical studies and must be identified mostly by companies, which work daily on problems that involve big, complex or “messy” data. Specifically, BIGMATH focuses on 7 industrial Big Data problems spread across three domains: human facial data analysis, financial applications, and production systems. Project Activities and ESRs training on communication, exploitation of scientific results, dissemination and public engagement, play also a central role in this project, since they are designed to promote dissemination of excellent research and diffusion of innovation in Europe. The creation of such international and life-long network of young researchers, trained across sectors in an innovative way, will thus help Europe to strengthen its international R&I cooperation.

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

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