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NeEDS SIGNED

Research and Innovation Staff Exchange Network of European Data Scientists

Total Cost €

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EC-Contrib. €

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Partnership

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 NeEDS project word cloud

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

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Project "NeEDS" data sheet

The following table provides information about the project.

Coordinator
COPENHAGEN BUSINESS SCHOOL 

Organization address
address: SOLBJERG PLADS 3
city: FREDERIKSBERG
postcode: 2000
website: http://www.cbs.dk

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 Denmark [DK]
 Total cost 1˙168˙400 €
 EC max contribution 1˙168˙400 € (100%)
 Programme 1. H2020-EU.1.3.3. (Stimulating innovation by means of cross-fertilisation of knowledge)
 Code Call H2020-MSCA-RISE-2018
 Funding Scheme MSCA-RISE
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2022-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    COPENHAGEN BUSINESS SCHOOL DK (FREDERIKSBERG) coordinator 257˙600.00
2    UNIVERSIDAD DE SEVILLA ES (SEVILLA) participant 322˙000.00
3    KATHOLIEKE UNIVERSITEIT LEUVEN BE (LEUVEN) participant 303˙600.00
4    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) participant 248˙400.00
5    GEOGRAFIA APLICADA SL ES (SEVILLA) participant 9˙200.00
6    AGEAS SA BE (BRUXELLES) participant 4˙600.00
7    CENTRAAL BUREAU VOOR DE STATISTIEK NL (DEN HAAG) participant 4˙600.00
8    DANMARKS STATISTIK DK (KOBENHAVN) participant 4˙600.00
9    INFORMATICA EL CORTE INGLES SA ES (MADRID) participant 4˙600.00
10    REPSOL SA ES (MADRID) participant 4˙600.00
11    TESCO STORES LIMITED UK (WELWYN GARDEN CITY) participant 4˙600.00
12    BANCO DEL ESTADO DE CHILE CL (SANTIAGO) partner 0.00
13    DUKE UNIVERSITY US (DURHAM NC) partner 0.00
14    UNIVERSIDAD DE CHILE CL (SANTIAGO) partner 0.00

Map

 Project objective

NeEDS responds to the massive scientific and technological challenges that the very rapidly growing field of Data Science has created for users and producers of data in Europe and world-wide. The challenges stem from the complexity of the data, the completely novel questions posed to data scientists, as well as the need of non-experts to visualize and interact with the knowledge extracted from data in order to aid data-driven decision-making. Companies and public sector bodies around Europe find they cannot build up the required capabilities quickly enough, and Europe is remarkably behind US academia in increasing Data Science capacity.

NeEDS provides an integrated modelling and computing environment that facilitates data analysis and data visualization to enhance interaction. NeEDS brings together an excellent interdisciplinary research team that integrates expertise from three relevant academic disciplines, Mathematical Optimization, Visualization and Network Science, and is excellently placed to tackle the challenges. NeEDS develops mathematical models, yielding results which are interpretable, easy-to-visualize, and flexible enough to incorporate user knowledge from complex data. These models require the numerical resolution of computationally demanding Mixed Integer Nonlinear Programming formulations, and for this purpose NeEDS develops innovative mathematical optimization based heuristics.

NeEDS consists of four academic beneficiaries, eight industrial beneficiaries (from industry sectors ranging from energy, retailing, insurance to banking, as well as national statistical offices), two academic partners and one industrial partner from five EU countries, USA and Latin America with strong and complementary expertise. With this composition, NeEDS is in a unique position to deliver cutting-edge multidisciplinary research to advance academic thinking on Data Science in Europe, and to improve the Data Science capabilities of industry and the public sector.

 Deliverables

List of deliverables.
NeEDS website Websites, patent fillings, videos etc. 2020-02-12 16:52:55

Take a look to the deliverables list in detail:  detailed list of NeEDS deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Sandra Benítez-Peña, Peter Bogetoft, Dolores Romero Morales
Feature Selection in Data Envelopment Analysis: A Mathematical Optimization approach
published pages: 102068, ISSN: 0305-0483, DOI: 10.1016/j.omega.2019.05.004
Omega 2020-02-06
2019 Rafael Blanquero, Emilio Carrizosa, Cristina Molero-Río, Dolores Romero Morales
Sparsity in optimal randomized classification trees
published pages: , ISSN: 0377-2217, DOI: 10.1016/j.ejor.2019.12.002
European Journal of Operational Research 2020-02-06

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

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