APASOS A PHYSICS APPROACH TO SOCIOTECHNICAL SYSTEMS: FROM THEORY TO DATA ANALYSIS.

  • P.I.: Tobias Galla, Sandro Meloni, Maxi San Miguel, Raúl Toral
  • Coordinator: Raul Toral
  • Partners: UIB, CSIC
  • Start date: Sept. 1, 2022
  • End date: Aug. 31, 2025

APASOS objective is to use mathematical and computational methods combined with data and physics thinking to model complex socio-technical systems.

APASOS is organized into two workpackages (WP). WP 1 focuses on models of social processes, and on further developing the mathematical and computational machinery to analyze and understand these models. WP 2 will address a selection of applications and data-driven challenges. Specifically, we will focus on urban systems (Task 2.1, in particular mobility, the use and renewable provision of energy), the flow of patients in hospitals and of data in medical trials (Task 2.2). Task 2.3 addresses questions in language evolution and the determination of linguistics traits from data. Task 2.4 finally studies information ecosystems. The more theoretical Tasks in WP1 have been selected to address recurring themes in WP2. This includes complex contagion in social dynamics (Task 1.1). Higher-order interactions (Task 1.2) feature in social dynamics, biological evolution and in ecology therefore touching upon the work of all tasks in WP 2. Progress on our understanding of language change (Task 2.3) and information ecosystems (Task 2.4) finally can be made with the statistical physics of evolutionary dynamics (Task 1.3), and there are close parallels to opinion dynamics and spreading in space (Task 1.1). Task 1.0 addresses core questions in stochastic modeling, including memory effects, the generation of stochastic trajectories and the construction of unbiased estimators for information measures.

Researchers

  • Pere Colet

    Pere Colet

  • Tobias Galla

    Tobias Galla

  • Sandro Meloni

    Sandro Meloni

  • Jose Javier Ramasco

    Jose Javier Ramasco

  • Maxi San Miguel

    Maxi San Miguel

  • David Sánchez

    David Sánchez

  • Raúl Toral

    Raúl Toral

Recent Publications

Aging in binary-state models: The threshold model for complex contagion

Abella, David; San Miguel, Maxi; Ramasco, José J.
Physical Review E 107, 024101 (2023)

Structure, resilience and evolution of the European Air Route Network from 2015 to 2018

Esteve, Pau; Ramasco, Jose J.; Zanin, Massimiliano
IEEE Transactions on Network Science and Engineering , (2023)

Analysis of the blackout risk reduction when segmenting large power systems using HVDC lines

D. Gomila, B.A. Carreras, J.M. Reynolds-Barredo, P. Colet, and O. Gomis-Bellmunt
International Journal of Electrical Power & Energy Systems 148, 108947 (2023)

Network coevolution drives segregation and enhances Pareto optimal equilibrium selection in coordination games

Gonzalez Casado, Miguel A.; Sanchez, Angel; San Miguel, Maxi
Scientific Reports 13, 2866 (2023)

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