Complex Systems. Nonlinear and Statistical Physics

Complex systems are characterized by emergent and collective phenomena of many interacting units. Fundamental understanding of these systems and the Micro-Macro paradigm, comes from Statistical Physics together with Computational Methods, Quantum Mechanics, Information Theory, Complex Networks, Big Data analysis and the Theory of Dynamical Systems, which includes the study of nonlinear dynamics, chaos and the effect of fluctuations and random events on system’s evolution.

This research line of exploratory nature is the backbone of IFISC: We develop new concepts and methods for the study of Complex Systems, and we analyze generic phenomena such as synchronization, phase transitions, nonequilibrium instabilities, spatiotemporal pattern formation, and the dynamics and evolution of complex networks.

Researchers

  • Pere Colet

    Pere Colet

  • Miguel C. Soriano

    Miguel C. Soriano

  • Ingo Fischer

    Ingo Fischer

  • Tobias Galla

    Tobias Galla

  • Damià Gomila

    Damià Gomila

  • Emilio Hernández-García

    Emilio Hernández-García

  • Rosa Lopez

    Rosa Lopez

  • Cristóbal López

    Cristóbal López

  • Víctor M. Eguíluz

    Víctor M. Eguíluz

  • Manuel Matías

    Manuel Matías

  • Sandro Meloni

    Sandro Meloni

  • Claudio Mirasso

    Claudio Mirasso

  • Jose Javier Ramasco

    Jose Javier Ramasco

  • Maxi San Miguel

    Maxi San Miguel

  • David Sánchez

    David Sánchez

  • Llorenç Serra

    Llorenç Serra

  • Tomás Sintes

    Tomás Sintes

  • Raúl Toral

    Raúl Toral

  • Roberta Zambrini

    Roberta Zambrini

  • 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. ...

POST-DIGITAL

POST-DIGITAL: Neuromorphic computing in photonic and other nonlinear media

P.I.: Ingo Fischer, Claudio Mirasso
POST-DIGITAL is a Marie Skłodowska-Curie Innovative Training Network, funded by the European Union’s Horizon 2020 research and innovation programme. POST-DIGITAL is committed to form a new generation of engineers and researchers, affording ...

Ocean Citizen

Marine forest coastal restoration: an underwater gardening socio-ecological plan

P.I.: Damià Gomila
Following the non-achievement of the AICHI targets and most of the Good Environmental Status objectives for 2020, active restoration has been emerged (also envisaged by the EU) as one of the preferred ...

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 ...

SuMaECO

Sustainability of marine coastal ecosystems in the context of global change in the Mediterranean sea: Modeling and simulations

P.I.: Damià Gomila, Tomás Sintes
The SuMaEco project is an interdisciplinary effort to try to understand the effects of global change on coastal marine ecosystems in the Mediterranean Sea by combining data, models and simulations. With global ...

OLGRA

Operadores Laplacianos en grafos y redes con repulsores/atractores y dinámicas relacionadas

P.I.: Ernesto Estrada
El uso de grafos está ampliamente extendido como una herramienta matemática para el estudio de diversos sistemas. En Físicas estos son usados en modelos electrónicos de sistemas conjugados, en sistemas de spines, ...

MISLAND

Modelling island ecological complexity in the context of global change

P.I.: Lucas Lacasa, Víctor M. Eguíluz
** This project (PID2020-114324GB-C22) is part of a coordinated project between IFISC and IMEDEA, both research centers from CSIC located in Mallorca. The project is funded by AEI and a PhD fellowship ...

QuTTNAQMa

TRANSPORTE CUANTICO Y TERMODINAMICA: NUEVAS AVENIDAS EN MATERIALES CUANTICOS

P.I.: Rosa Lopez, Llorenç Serra
The aim of this project is to investigate the heat and energy transport properties in nanoconductors considering complex phenomena due to either many-body interactions and/or the presence of quantum materials.

DYNDEEP

Dynamics of Temporal Networks: Memory and Deep Learning

P.I.: Lucas Lacasa
The interaction between elements of a complex system arising in physics, biology or sociology can be modelled as a mathematical graph. The precise architecture of this interaction backbone plays a fundamental role ...

APASOS

A Physics approach to sociotechnical systems: from theory to data analysis.

P.I.: Tobias Galla, Sandro Meloni, Maxi San Miguel, Raúl Toral
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 ...

CYCLE

Complex DYnamics of CoastaL Ecosystems: Resilience to Climate Change. Modelling and Simulations.

P.I.: Damià Gomila, Tomás Sintes
Complex Dynamics of Coastal Ecosystems: Resilience to Climate Change (CYCLE) is a coordinated multidisciplinary research project that brings together the efforts of experts in the fields of marine ecology and the physics ...

SEDIMENT

SEagrass DIversity in the MEditerranean basin in a global change scenario: a machine learNing approach from saTellite images

P.I.: Manuel Matías, Tomás Sintes
The main challenge of this project is to correlate the changes in the sea surface temperature (SST) in the Mediterranean basin with the spatial distribution and size of different seagrass species. We ...

ESPoM

Ecosystemic Services in Posidonia oceanica Meadows

P.I.: Tomás Sintes
Identify the relevant interaction mechanisms in Posidonia oceanica (Po) meadows based on field data. Estimate the vulnerability of seagrasses in an scenario of climate change and environmental degradation. Analyze the climate change ...

COVID-SHINE

Understanding the spatio-temporal social determinants of health to improve agent-based modelling of recurrent COVID-19 outbreaks

P.I.: Víctor M. Eguíluz
The project has two general aims: (1) To enhance the ability of modelling strategies to predict the dynamics of recurrent outbreaks of COVID-19 by incorporating novel knowledge of the social determinants of ...

Recent Publications

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)

Measuring landing independence and interactions using statistical physics

Olivares, Felipe; Sun, Xiaoqian; Wandelt, Sebastian; Zanin, Massimiliano
Transportation Research Part E: Logistics and Transportation Review 170, 102998 (2023)

Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics

Bianconi, G.; Arenas,A; Biamonte,J; Carr, L.D.; Kahng,B.; Kertesz,J.; Kurths, J.; Lü,L.; Masoller, C.; Motter, A.E.; Perc, M.; Radicchi,F.; Ramaswamy, R.; Rodrigues, F.A.; Sales-Pardo, M.; San Miguel, M.; Stefan, T. ; Yasseri, T.
J. Phys. Complexity 4, 0121 (2023)

Understanding small-scale COVID-19 transmission dynamics with the Granger causality test

Romero García, Carolina; Briz-Redón, Álvaro; Iftimi, Adina; Lozano, Manuel; De Andrés, José; Landoni, Giovanni; Zanin, Massimiliano
Archives of Environmental & Occupational Health , (2023)

Endemic infectious states below the epidemic threshold and beyond herd immunity

Javier Aguilar, Beatriz Arregui García, Raúl Toral, Sandro Meloni, Jose J. Ramasco
, (2023)

Related News

Traveling patterns in seagrass meadows

Jan. 10, 2023
In seagrass meadows there are patterns associated with high mortality of plants capable of moving while maintaining their shape.Researchers propose a model that reproduces these traveling patterns and at the same time is a diagnostic tool for the health ...

Modelling the deadly noble pen shell (Pinna nobilis) epidemic

Sept. 14, 2022
A model designed by researchers from IFISC (UIB-CSIC), in collaboration with IMEDEA (UIB-CSIC), LIMIA (IRFAP) and INAGEA, develops an epidemiological model to comprehend marine epizooticsIn a new article written by IFISC and the University of Buenos Aires, the researchers analyse ...

Identifying the acidification trend of the Balearic Sea using artificial intelligence

Sept. 9, 2022
This study highlights the use of machine learning to characterize the pH decline in the Balearic Sea, a key task in assessing the impacts of climate change on marine biodiversity. The results show a trend of pH decline similar to ...

The World-Wide Waste Web, the network through which our garbage travels

March 29, 2022
IFISC researchers have identified which 57 countries in the world are at high risk of waste congestion.The study, published in Nature Communications, has analyzed global networks for the exchange of different types of litter between 2001 and 2019.A ...

The shape of memory in temporal networks

Jan. 25, 2022
An international team of researchers, with participation of IFISC (UIB-CSIC), have proposed a mathematical framework to estimate the memory structure of temporal networks. These findings are published in the latest issue Nature Communications.Temporal Networks (those whose structure changes over ...

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