In the last ten years there has been an exponential increase of the quantity and the quality of available information obtained from many types of complex systems, ranging from the interactions of millions of users in social networks to the information contained in the genomic and proteomic databases. This has opened new challenges to scientists on (i) how to store and handle this massive amount of information, (ii) how to create new tools and adapt the current ones to process, study and visualize the information and (iii) what insight can we learn from systems that were previously not understood due to the lack of information.
All these problems, coming from multiple disciples, are grouped under the term Big Data, and their main characteristic is the need to deal with massive amounts of information. As a consequence, there are some common challenges that all data focused scientists will have to confront, which might already be solved in other fields under the Big Data classification.
The main goal of this satellite is to serve as a meeting point for scientists working on all topics related with Big Data, with a special interest with its relation with complex systems research. We want to put in common the problems that scientists face when they work with Big Data, and to share the experiences on how to overcome them. Thus, we want to invite scientists working on the following topics to submit their contributions to the satellite:
- IT infrastructure for Big Data: research related with the design of hardware and software systems to store and work with large datasets.
- Algorithms: research related with the design of scalable algorithms capable of dealing with large amounts of data within a reasonable time.
- Models and Applications: research related with the generation of massive datasets, the design of models and the use of the previous tools to get insights about them.