Cellular service providers have been struggling with users’ demand since the emergence of mobile Internet. As a result, each generation of cellular network prevailed over its predecessors mainly in terms of connection speed.

Why should I consider a future in research? What sort of opportunities does a PhD open up for me? What makes research in the science of networks such an exciting career choice? How can we ensure that the Internet can grow and adapt to ever-changing needs over the coming decades? What lies beyond the Internet? What inspires network research?

Varios miembros y stakeholders de IMDEA Networks Institute lideran la organización del quinto Congreso internacional sobre futuros sistemas energéticos (The 5^th International Conference on Future Energy Systems - ACM e-Energy 2014). Marco Ajmone Marsan y Antonio Fernández Anta son investigadores consolidados del Instituto. Jim Kurose de University of Massachusetts at Amherst (EE.UU.) y Jon Crowcroft, de University of Cambridge (Reino Unido) pertenecen al Consejo Científico. Ajmone, Fernández Anta y Kurose son miembros del Comité Directivo del congreso ACM e-Energy, mientras que Crowcroft es Co-Presidente de la edición de 2014.

Institute IMDEA Networks annually holds a by-invitation-only thematic workshop in Madrid. The workshop accompanies a meeting of our Scientific Council comprised by prominent researchers. In addition to talks by Scientific Council members, the workshop includes invited talks by external experts in the research theme of the workshop. The goal of the 2012 workshop is to foster discussion on a critical aspect of research in networking: data.

Institute IMDEA Networks annually holds a by-invitation-only thematic workshop in Madrid. The workshop accompanies a meeting of our Scientific Council comprised by prominent researchers. In addition to talks by Scientific Council members, the workshop includes invited talks by external experts in the research theme of the workshop. The 2011 workshop theme is Internet science with a focus on social networking.

Social scientist have traditionally had limited access to data about individuals, like their personality, relationships or tastes. The widespread use of Online Social Networks (OSNs) has changed this drastically, since OSNs provide huge amounts of data to work with. 

The impact of car accidents in human lives calls for a profound understanding of accident risk. However, the unpredictability of accidents and the unfeasibility of their reproduction make it difficult to identify the causes and patterns underlying individual accidents.

With the rise of cloud computing, data centers have been called to play a main role in the Internet scenario nowadays. Despite this relevance, they are probably far from their zenith yet due to the ever increasing demand of contents to be stored in and distributed by the cloud, the need of computing power or the larger and larger amounts of data being analyzed by top companies such as Google, Microsoft or Amazon.

In this work, propagation dynamics on social networks are studied in order to identify the most influential users. For this purpose, diffusion data has been collected during 4 weeks from a microblogging OSN (online social network) called Tumblr.

In this presentation we will explain a new mathematical procedure for the automatic discovery of interesting research questions. We propose to classify research topics according to their relevance (how important is the topic) and nescience (a measure of our current understanding of that topic).