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First Barcelona Data Science Meeting organized by Ramon Areces Foundation and BSE

Barcelona Data Science Meeting

More than 150 academics and professionals participated in the inaugural edition of this event.

On March 21-22, the Barcelona School of Economics and the Ramon Areces Foundation organized the first edition of the Barcelona Data Science Meeting. The scientific organizers were Professors José García-Montalvo (UPF and BSE) and Omiros Papaspiliopoulos (ICREA-UPF and BSE). The event was hosted by Universitat Pompeu Fabra at Ciutadella Campus.

The Barcelona Data Science Meeting is a two-day conference exploring Data Science research and applications for business and institutions. The program included research presentations by top academics and expert panels with practitioners from Europe and the United States:

Research from Columbia, IRB, MIT, and Telefónica

The first day of the Meeting was dedicated to Research in Data Science. The speakers were:

  • Alberto Cavallo (MIT)
  • Costantinos Daskalakis (MIT)
  • Andrew Gelman (Columbia University)
  • Alexandros Karatzoglou (Telefónica)
  • Modesto Orozco (IRB)

Video: Andrew Gelman, "Little Data: How Traditional Statistical Ideas Remain Relevant in a Big-Data World"

Expert panels on real economy, entertainment and gaming, and marketing

The second day focused on applications of Data Science for business and institutions. The audience heard talks and roundtable discussion from experts on:

  • Real Economy
    • Jose Valiño Blanco (Abanca)
    • José Borja Tamé (AEAT)
    • Moderator: José García-Montalvo (UPF and BSE)
  • Entertainment/Gaming
    • Pedro Cosa Fernandez (Channel 4), keynote speaker
    • Matthew Eric Basset (Gower Street Analytics, London)
    • Sharon Biggar (Social Point)
    • Moderator: Omiros Papaspiliopoulos (ICREA-UPF and BSE)
  • Services Sector/Marketing
    • Nicolas Le Roux (CRITEO), keynote speaker
    • Lara Khanafer (Dataiku)
    • Pau Agulló (Kernel Analytics)
    • Moderator: Teresa Garcia-Milà (Director of the BSE)

Video: Panel on Entertainment/Gaming

Event photo album on Flickr

Speaker bios, full program details, and Tweets from the event

Download the meeting program [pdf]

Some of the companies and institutions represented included:

  • Accenture
  • Barcelona Supercomputing Center
  • CaixaBank
  • Capgemini Consulting
  • City of Copenhagen
  • El Corte Inglés
  • Goldman Sachs
  • Hewlett Packard
  • Intel
  • La Vanguardia
  • Mobile World Capital Barcelona
  • Oracle
  • Qumram
  • SAP
  • University of Cambridge
  • University of Toulouse
  • University of Warwick
  • XING

About Data Science at the BSE

The Barcelona School of Economics is an internationally leading institution for scientific cooperation for research and graduate education in Economics and the Social Sciences. The School offers a wide range of professionally- and academically-orientated graduate degrees in Economics and Data Science; the third edition of the BSE Master’s in Data Science will begin in September 2016. The first Data Science Summer School will take place from July 4-8, 2016.

As part of the broader research and training agenda on Data Science, BSE has developed consistent links with the business sector in Barcelona and has agreed collaborations with companies such as Accenture, Telefónica, Indra Business, King, Banc Sabadell, Bluecap, La Caixa, Kernel Analytics, FNA, Synergic Partners, TSS and Ulabox, as well as non-profit organizations and institutions.

About the Ramón Areces Foundation 

The Ramón Areces Foundation is a privately-funded non-profit institution focusing since its creation on the patronage of science through the fostering of research, contributing to the generation of human capital and the dissemination of knowledge in three specific areas: life sciences, social sciences and humanities. In the sphere of Social Sciences, the Foundation backs projects which seek solutions to the main challenges that will be faced by modern society in the future: economic, educational, institutional, together with those related to development.