Technological advances during the last fifteen years have boosted our
capacity to generate and store huge amounts of data. Most of these data
are related to socio-economic phenomena due to human interaction through
the digital world. Thus, these big data technologies together with
advanced data analytics provide an unprecedented opportunity to
understand human interactions and the functioning of our societies.
Accordingly, SocioComplex II network consider that now it is the time to
use the power of the huge amounts of generated data to explore social
and economic behavior and look for options for a sustainable future.
Such large quantities of data should also contribute to the way we face
crisis response, social mobilization, social resilience, democracy,
poverty, social inequalities, cultural diversity, green and sustainable
cities among a wide variety of societal challenges.

Fundamental but also applied research developed by all of the members
belonging to the Socio-technological Complex Systems network share this
approach. SocioComplex II claims that Complexity Science with tools
mostly coming from Statistical Physics has a privileged position to
contribute in an innovative and disruptive way to the construction of
new knowledge in social and economic systems. Scientific approach from
disciplines such as Economy, Psychology, Linguistics, Business,
Management or Social Sciences has traditionally been constrained by the
limited information available and by strong disciplinary practices with
too little connections with other complementary perspectives coming from
other disciplines. Complexity Science is generally used to characterize
systems constituted by many parts where those parts interact with each
other in multiple ways. Integrating Information and Communication
Technologies (ICT), Complexity Science and the Social Sciences we
believe it is possible to create a paradigm shift, facilitating a
symbiotic co-evolution of ICT and society.