What is Data Science Grup

GCD@UB is made up of several University of Barcelona research groups. It was created in order to combine synergies with a view to undertaking technology transfer projects in the field of data science. The following groups, which are part of the faculties of Mathematics and Physics


Last services

Measuring collaboration in organisations

cat. Consulting
03.10.2016

This project consisted of the development of a tool for learning about the different relationships between the members of an organisation and their areas of work. The group-level analysis provides a real-time diagnosis and makes it possible to take actions to improve and streamline processes.


Model for predicting the technical quality of images

cat. Projects
26.09.2016

Image search engines receive huge volumes of images every day, but very few of these have any impact on the internet. Of course, the aesthetics and technique of images are key to ensuring they have an impact on the internet and are not overlooked.


Price forecasting model

cat. Consulting
08.09.2016

People who manage services aimed at the general public have the option of designing a demand-driven pricing policy, but this design is usually based on the personal experience of each manager.


Last news

Solutions for BBVA Data&Analytics

cat. General
05.01.2017

Researchers from DataScience@UB group collaborate with BBVA Data&Analytics in finding solutions based data to better understand their customers and thus provide better products and services.


Beepath, a mathematician experiment on Human Mobility

cat. General
05.01.2017

Researchers from DataScience@UB Group, made the scientific experiment Bee-Path, at the Festival of Science organized by the Barcelona City Council with the voluntary participation of citizens, based on data collected by an application to study the mobility of people involved.


"Best paper award" at the XXI Iberoamerican Congress on pattern recognition

cat. General
05.01.2017

Researchers from DataScience@UB group, have been awarded with the “Best paper award” at the XXI Iberoamerican Congress on pattern recognition