• I.P.: Pere Colet
  • Coordinador: Pere Colet
  • Data d'inici: 1 de gener de 2016
  • Data de finalització: 31 de desembre de 2018

The project ESoTECoS constitutes an approximation from the perspective of the physics of complex systems to the societal challenges within the field of Social Changes and Innovation. The project background lays in the interdisciplinary paradigms of the science of complex systems and in those of computational social sciences and its starting premise is that social behaviors are emergent phenomena (macro) resulting from the interaction (micro) of the agents or individuals. These emergent behaviors include cooperation, consensus, competition, systemic crises, adoption of technologies, cultural globalization, new political movements, or formation of hierarchical structures. Many of these behaviors are not unique to human societies but also appear in ecosystems. In nowadays human society, however, the presence of new information and communication technologies (ICT) drives changes at unprecedented speeds.

The study of emergent phenomena is based largely on concepts , methods, and techniques well established in traditional fields of Physics, such as the Statistical Physics, Nonlinear Dynamics, Computational Physics and Data Analysis. In this sense, ESoTECoS is the next step in a collaborative effort to basic research in the physics of complex systems kept in previous projects FISICOS (FIS2007-60327) and INTENSE@COSYP (FIS2012-30634). The step is to confront the challenge of transferring this knowledge in a way suitable to address the study of the social changes and innovations.

ESoTECoS has as general objective the generation of knowledge and tools for better informed decision making in a context of fast social transformations. To this end it is structured in three workpackages which address the following specific topics:

1. Social changes and innovation processes with social interaction at multiple levels: a) Competition between globalization and social polarization, in particular language competition and cultural dynamics, b) Processes of social contagion and spreading in the adoption of innovations, c) Problems involving coordination and social learning: social imitation versus strategic imitation.
2. Sociotechnical systems: a) Analysis of human mobility using massive data (big data) from diverse ICT sources, b) Characterization of hotspots, sociodemographic distributions and singular events, c) Electoral processes, d) Adoption of dynamic demand control and social cooperation to reduce power grid fluctuations.
3. Emergent behavior with social characteristics in ecosystems: a) Interaction between mobility, competition and inhomogeneity, b) Mechanisms for communication and cooperation in microbial populations, c) Competition and cooperation in particular in Posidonia meadows, d) Genetic diversity and environmental adaptability.


  • Pere Colet

    Pere Colet

  • Damià Gomila

    Damià Gomila

  • Emilio Hernández-García

    Emilio Hernández-García

  • Manuel Matías

    Manuel Matías

  • Jose Javier Ramasco

    Jose Javier Ramasco

  • Maxi San Miguel

    Maxi San Miguel

  • Tomás Sintes

    Tomás Sintes

  • Raúl Toral

    Raúl Toral

  • Antonio Fernández Peralta

    Antonio Fernández Peralta

  • Daniel Ruiz-Reynés

    Daniel Ruiz-Reynés

  • Antònia Tugores

    Antònia Tugores

  • Oriol Artime

    Oriol Artime

  • Aleix Bassolas

    Aleix Bassolas

  • Bruno Campanelli

    Bruno Campanelli

  • Andrés Chacoma

    Andrés Chacoma

  • Eduardo H. Colombo

    Eduardo H. Colombo

  • Nagi Khalil

    Nagi Khalil

  • Mattia Mazzoli

    Mattia Mazzoli

  • Meghdad Saeedian

    Meghdad Saeedian

  • Eder Batista Tchawou

    Eder Batista Tchawou

Publicacions recents

Field theory for recurrent mobility

Mazzoli, M; Molas, A; Bassolas, A; Lenormand, M; Colet, P; Ramasco, J J
Nature Communications 10, 3895 (2019)

Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona

Aleix Bassolas, Jose J. Ramasco, Ricardo Herranz, Oliva G. Cantu-Ros
Transportation Research Part A 121, 56-74 (2019)

Reduction of power grid fluctuations by communication between smart devices

Tchawou Tchuisseu, Eder Batista; Gomila, Damià; Colet, Pere
International Journal of Electrical Power & Energy Systems 108, 145-152 (2019)

Complex dynamics in power grids

Tchawou Tchuisseu, Eder Batista (Supervisors: Damià Gomila and Pere Colet)
PhD Thesis (2018)

Stochastic pair approximation treatment of the noisy voter model

Peralta, A. F. ; Carro, A. ; San Miguel, M. ; Toral, R.
New Journal of Physics 20, 103045 (2018)

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