Red de investigación
Madrid, Spain, December 14, 2022
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.
SocioComplex brings together the main forces of Spanish research in complexity sciences in the context of socio-technological systems. The groups that make up the Network belong to