The paper A Cognitive Agent for Mining Bugs Reports, Feature Suggestions and Sentiment in a Mobile Application Store, by Sergio Muñoz, Óscar Araque, Antonio F. Llamas and Carlos A. Iglesias has been presented at the 4th International Conference on Big Data Innovations and Applications.

The aim of the Innovate-Data conference is to promote the state of the art in scientific and practical research of big data and to bring together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas.

Abstract. Over the last years, mobile applications and their corresponding distribution platforms have gained momentum. Applications stores allow users to write reviews and ratings about the apps, giving feedback to developers. User ratings and reviews may help to improve software quality, solve bugs and develop new features. However, this data is hard to be handled by an individual due to the ever growing amount of textual reviews. This paper proposes the use of cognitive computing technologies for addressing this challenge, by developing a smart agent able to mine bugs reports, feature suggestions and sentiment expressed in mobile app reviews. The main contributions of this paper are: the design of a cognitive agent for assisting developers in managing their interaction with their users, the application of machine learning algorithms for bug and feature request detection, and the agent implementation in a real scenario.

The InnovateData 2018 conference was hold August 6-8, at Barcelona, Spain.

GSI has attended the EIT Digital Partner Event in Brussels. 

EIT Digital aims at enabling  the development of new digital businesses by teaming up with complementary partners within the EIT Digital ecosystem. EIT Digital mission is driving Europe's digital transformation.


Este mes comienzan la primera edición de las Becas GSI. Reunido el comité, han sido seleccionado los siguientes candidatos:

  • Beca Profesor Gregorio Fernández de Iniciación a la investigación en aprendizaje automático y Big Data, a D. Diego Benito.
  • Beca Profesora Mercedes Garijo de iniciación a la investigación en tecnología de agentes, a D. Pablo Aznar.
  • Beca Profesor Fernando Sáez-Vacas de iniciación a la investigación en complejidad y sistemas sociales, a D. Eduardo Merino.

The Data Science Summer School is organized for the first time in Romania by the Bucharest University of Economic Studies, with the support of the International Relations Office, the Faculty of Cybernetics, Statistics and Informatics, and the Faculty of Finances and Banking, in Predeal, Romania. The teachers or the course are Dan Nicolae (University of Chicago, USA), Razvan Bunescu (Ohio University, USA), Marko Grobelnik (Jozef Stefan Institute, Slovenia), Carlos A. Iglesias (Universidad Politécnica de Madrid, Spain), James Hodson (Cognism / AI for Good Foundation, USA / Jozef Stefan Institute, Slovenia), Ioan Toma (University of Innsbruck, Austria) and  Dumitru Roman (SINTEF / University of Oslo, Norway).


La charla titulada Teaching Big Data with Pen, Paper and Scissors se ha presentado en la  7th International Congress on Education and Learning en París, Francia, el 18 de Julio de 2018. Este trabajo se ha realizado gracias a la financiación ofrecida por la Universidad Politécnica de Madrid bajo la inciativa de Innovación Educativa, en relación al Proyecto de Innovación Educativa no. IE1718.0902, titulado Un enfoque de Aprendizaje basado en Retos para Técnicas de Análisis de Datos.