Dynamics and Collective Phenomena in Social and Socio-technical Systems

Social systems are prominent examples of Complex Systems, emergent phenomena, and the Micro-Macro paradigm. Today’s main societal changes and challenges arise from the feedback loop that entangles society with Information and Communication Technologies (ICT) as a prototypical socio-technical system.

In this line of research we develop new concepts, tools and models aiming at identifying generic mechanisms underlying collective phenomena in these systems. We do this in the framework of Computational Social Sciences with the use of Game Theory, Statistical Physics, Agent Based Models, Complex Networks Theory, and Big Data analysis. We study phenomena such as opinion formation, cooperation, cultural conflicts, language competition and social learning. Moreover, we focus on ICT data-driven research on socio-technical systems, addressing problems of human mobility, transportation, tourism, city science, epidemics, and energy consumption.


Researchers

  • Pere Colet

    Pere Colet

  • Tobias Galla

    Tobias Galla

  • Emilio Hernández-García

    Emilio Hernández-García

  • Víctor M. Eguíluz

    Víctor M. Eguíluz

  • Sandro Meloni

    Sandro Meloni

  • Jose Javier Ramasco

    Jose Javier Ramasco

  • Maxi San Miguel

    Maxi San Miguel

  • David Sánchez

    David Sánchez

  • Raúl Toral

    Raúl Toral

  • Juan Fernández Gracia

    Juan Fernández Gracia

  • Konstantin Klemm

    Konstantin Klemm

Recent and ongoing Research projects

ARCTIC

Air Transport as Information and Computation

P.I.: Massimiliano Zanin
This project is an ERC Starting Grant of panel SH2, "Institutions, Values, Environment and Space". Air transport has by and large been studied as a transportation process, in which different elements, e.g. ...

VPP4ISLANDS

Virtual Power Plant for Interoperable and Smart isLANDS

P.I.: Pere Colet
VPP4Islands aims to facilitate the integration of renewable systems, accelerate the transition towards smart and green energy and help Islands to exploit energy efficiency potential and innovative storage approaches, foster the active ...

SPASIMM

Spatiotemporality in sociobological interactions, models and methods

P.I.: Konstantin Klemm, Víctor M. Eguíluz
The Physics of Complex Systems is experiencing an important research activity, first due to the development of the Theory of Complex Networks, and second due to Big Data. The model driven approach ...

PACSS

Physics approach to complexity in sociotechnical systems

P.I.: Sandro Meloni, Jose Javier Ramasco, Maxi San Miguel, Raúl Toral
This project, Physics approach to complexity in sociotechnical systems (PACSS), wants to contribute to the understanding of sociotechnical phenomena from the perspective provided by the application of the modern field of complex ...

MOREHOUSE

Modeling hOusing maRkets dynamics thanks to Emerging and HeterOgeneoUs data SourcEs

P.I.: Jose Javier Ramasco
CSIC cooperation project with the French CNRS on the study of the real estate market using big data. The project MOREHOUSE connects with the ESPON Housing contract of the EU Commission to ...

COOPB20476

Reinforcement of research and training on power grid instability control

P.I.: Pere Colet
Access to electricity in most African countries is seriously limited. When conditions allow it, instability dominates the pow er grid and often leads to blackout. There is a very reduced number of ...

Distancia-COVID

Impact of social distancing measures on the spreading of COVID-19 pandemics in Spain

P.I.: Jose Javier Ramasco
The project addressed the emergency call launched by the ISCIII and was selected for funding by CSIC. It incorporates three phases: (i) the description of mobility and the changes introduced by the ...

NouLloguer

Influence of new models of vacation renting on residential housing: ICT Data economic analysis

P.I.: Jose Javier Ramasco
Project funded by the Regional Government of the Balearic Islands to study the new markets of real estate renting with ICT data.

COSTNET

European Cooperation for Statistics of Network Data Science

P.I.: Maxi San Miguel
A major challenge in many modern economic, epidemiological, ecological and biological questions is to understand the randomness in the network structure of the entities they study: for example, the SARS epidemic showed ...

Mobility 2030

CSIC PTI Mobility 2030

P.I.: Jose Javier Ramasco
CSIC PTI (Interdisciplinar Platform) to foment the scientific collaborations between CSIC groups/institutes and industrial partners in the ambit of urban mobility.

SMOF

Strategic Manipulation in Dynamic Processes of Opinion Formation on Multiplex Networks

P.I.: Maxi San Miguel
The project generally aims at a better understanding of influence maximization in dynamical models of opinion formation on large-scale multiplex networks. The research combines numerical simulation and approximation techniques to understand opinion ...

Recent Publications

Travel restrictions during pandemics: A useful strategy?

Zanin, Massimiliano; Papo, David
Chaos 30, 111103 (2020)

Focus Issue on the Dynamics of Social Systems

San Miguel, Maxi; Toral, Raul
Chaos 30, (2020)

On the importance of trip destination for modelling individual human mobility patterns

Lenormand, Maxime; Arias, Juan Murillo; San Miguel, Maxi; Ramasco, Jose J.
Journal Royal Society Interface 17, 20200673 (2020)

Stochastic binary-state dynamics on complex networks: a theoretical analysis

Peralta, Antonio F. (supervisor: Raúl Toral)
PhD Thesis (2020)

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