The application of computational modeling techniques has been key to unveil fundamental laws governing complex biological phenomena. This cluster relies on using advanced knowledge from biology, ecology, chemistry, sociology, mathematics and physics to develop computational models to study phenomena occurring at multiple scales. To do so, we combine computational algorithms with massive data available from diverse sources, ranging from public repositories of social data and biological databases to data generated in-house from environmental prospections (metagenomes), laboratory scale microbial cultures, and in vitro experiments.