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Big Data Challenges for Mathematics

Big Data Challenges for Mathematics

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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Coordinator

UNIVERSITA DEGLI STUDI DI MILANO

Address

Via Festa Del Perdono 7
20122 Milano

Italy

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 522 999,36

Participants (10)

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University of Novi Sad Faculty of Sciences

Serbia

EU Contribution

€ 217 825,56

INSTITUTO SUPERIOR TECNICO

Portugal

EU Contribution

€ 475 440,48

TECHNISCHE UNIVERSITEIT EINDHOVEN

Netherlands

EU Contribution

€ 531 239,76

SDG CONSULTING ITALIA SPA

Italy

CENTAR ZA INVESTICIJE I FINANSIJE DOO, BEOGRAD (VRACAR)

Serbia

3LATERAL DOO NOVI SAD

Serbia

CREDIMI SPA

Italy

ACOMEA SOCIETA DI GESTIONE DEL RISPARMIO S.P.A.

Italy

UROBOPTICS - TECHNICAL CONSULTING & RESEARCH, LDA

Portugal

SIOUX LIME BV

Netherlands

Project information

Grant agreement ID: 812912

Status

Ongoing project

  • Start date

    1 October 2018

  • End date

    30 September 2022

Funded under:

H2020-EU.1.3.1.

  • Overall budget:

    € 1 747 505,16

  • EU contribution

    € 1 747 505,16

Coordinated by:

UNIVERSITA DEGLI STUDI DI MILANO

Italy