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

  • I.P.: Tobias Galla, Sandro Meloni, Maxi San Miguel, Raúl Toral
  • Coordinador: Raul Toral
  • Partners: UIB, CSIC
  • Fecha de inicio: 1 de Septiembre de 2022
  • Fecha de final: 31 de Agosto de 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.

Investigadores

  • 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

Publicaciones recientes

Ordering dynamics and aging in the Symmetrical Threshold model

Abella, David; González-Avella, Juan Carlos; San Miguel, Maxi; Ramasco, José J.
New Journal of Physics 26, 013033 (2024)

Entropy Estimators for Markovian Sequences: A Comparative Analysis

De Gregorio, J.; Sánchez, D.; Toral, R.
Entropy 26, 79 (1-26) (2024)

Reducing blackout risk by segmenting the European power grid with HVDC lines

Gomila, D; Carreras, B.A.; Reynolds-Barredo, J.M.; Martínez-Barbeito, M.; Colet, P.; Gomis-Bellmunt, O.
Submitted (2024)

Ordering dynamics of nonlinear voter models

Ramirez, Lucia; Vazquez, Federico; San Miguel, Maxi ; Galla, Tobias
Physical Review E , (2024)

Endemic infectious states below the epidemic threshold and beyond herd immunity

Aguilar, Javier; Arregui García, Beatriz; Toral, Raúl; Meloni, Sandro; Ramasco, José J.;
Communications Physics 6, 187 (2023)

Esta web utiliza cookies para la recolección de datos con un propósito estadístico. Si continúas navegando, significa que aceptas la instalación de las cookies.


Más información De acuerdo