The workshop Rich models for complex data took place inNamur, Belgium from May 7-8, 2014.
Computational science has entered the era of Big Data, fueled by unparalleled amounts of data coming from high-throughput technologies and electronic records collected by various sensors and communication devices. This trend is particularly visible in communication and social networks, where the gathering of complex data on human and social interactions becomes possible at a very large scale. The efficient exploitation of that data demands the development of more efficient computational methods as well as richer models to represent the salient features of
the systems.
The aim of this workshop was to bring together researchers interested in extensions to the conventional network paradigm. The 2-day workshop has been organised as a 48 hour hackathon. In the first morning, different ideas have been pitched and two ideas selected by two sub-teams. In each case, the mobility of researchers across their career was the central theme. During the remainder of the workshop, the researchers have worked on the cleaning of data from several sources (Microsoft Research, Scopus and ISI) and their visualisation. The main outcome of the
workshop are:
- the availability of 3 clean dataset on researcher mobility
- the interactive visualisation of their research pathways, soon to be made available on the website of KnoweScape.
Renaud Lambiotte
