Concepts and Tools

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 a variety of disciplines and techniques which we develop and integrate: Statistical Physics, Network theory, Machine Learning and other Artificial Intelligence methods, Big Data and Data Science, Dynamical Systems, Classical and Quantum Information, Quantum thermodynamics, Information Processing methods and, in general, physics thinking for complex systems that allows tackling concepts such as Emergence, Collective Phenomena, Determinism or Stochasticity.

This research line is the backbone of IFISC: we develop new concepts and methods for the study of Complex Systems, and we analyze generic phenomena.

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

  • Manuel Matías

    Manuel Matías

  • 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

  • Massimiliano Zanin

    Massimiliano Zanin

  • Konstantin Klemm

    Konstantin Klemm

  • Sandro Meloni

    Sandro Meloni

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 ...

CoQHoNet

Connecting Quantum Hopfield Networks

P.I.: Roberta Zambrini
CoQHoNet is a Marie Curie European Postdoctoral Fellowships, which allows the hiring of Dr. Eliana Fiorelli to execute the following research project: Classical Neural Networks (NNs) are architectures successfully employed in Machine ...

RE-TE

Regional Economy / Travel Expectations

P.I.: Massimiliano Zanin
The assessment of the economic health of economies around the world has historically been based on reports prepared by multiple public and private institutions – from banks to governments. These describe how ...

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
** 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 ...

MdM-IFISC-2

Maria de Maeztu 2023-2026

P.I.: Ernesto Estrada, Ingo Fischer, Emilio Hernández-García, Rosa Lopez, Claudio Mirasso, Jose Javier Ramasco, Raúl Toral, Roberta Zambrini
After 15 years of its existence, IFISC can point to a proven track record of impactful research. The previous 2018-2022 MdM award has significantly enhanced the institute's capabilities, as demonstrated by an ...

CoQuSy

Complex Quantum Systems: machine learning, thermodynamics, and emergent phenomena

P.I.: Gian Luca Giorgi, Gonzalo Manzano, Roberta Zambrini
CoQuSy is a coordinated project and joins all the researchers at IFISC (belonging either to CSIC or UIB) working in the common line of complex quantum systems. The coordination is motivated by ...

CATSUIT

Climbing at the Source of Irreversibility

P.I.: Massimiliano Zanin
Irreversibility, i.e. the lack of invariance of the statistical properties of a system or time series under the operation of time reversal, has attracted the interest of the physics community since the ...

SCS

Sensing Complex Systems

P.I.: Lucas Lacasa
La reciente incorporación del Dr. Lucas Lacasa al IFISC abre la posibilidad de consolidar líneas de investigación relevantes como son el desarrollo de la teoría dinámica de redes y el análisis de ...

ICOOP22059

Analysis of stability and resilience of Cameroon's power grid on the incorporation of renewable energy sources

P.I.: Pere Colet
Stable operation of the electric power grid is based on several control methods and suitable management that includes demand forecasting, technical maintenance, generation and transmission planning, etc. The grid operator is the ...

AIAM

Artificial Intelligence & Animal Movement

P.I.: Jorge P. Rodríguez
The AIAM project will introduce Artificial Intelligence (AI) in marine movement tracking ecology. Collecting marine animal movement is a laborious and expensive process, and AI tools can help optimize it, by, for ...

QTD-InFlexity

Quantum thermodynamics: information, fluctuations and complexity

P.I.: Gonzalo Manzano
In the last two decades, thermodynamics has been extended to describe small systems, where the action of environmental noise “blurs” traditional thermodynamic constraints and information plays a central role. While the first ...

Recent Publications

Complex Systems Perspectives on Large-Scale Weather and Climate Variability Patterns

Ehstand, Noémie (supervisors E. Hernandez-Garcia, C. Lopez and R.V. Donner)
PhD Thesis (2024)

High-order correlations reveal complex memory in temporal hypergraphs

Gallo, Luca; Lacasa, Lucas; Latora, Vito; Battiston, Federico
Nature Communications 15, (2024)

‘Xylella fastidiosa’ y el cambio climático amenazan la viticultura europea: hemos calculado cuánto

Giménez-Romero, Àlex; Moralejo, Eduardo; Matías, Manuel A.
The Conversation, , (2024)

Noisy kinetic-exchange opinion model with aging

Vieira,Allan R.;Llabrés,Jaume;Toral,Raúl;Anteneodo,Celia
Phys. Rev. E 109, 064119 (2024)

Low Cost Carriers Induce Specific and Identifiable Delay Propagation Patterns: An Analysis of the EU and US Systems

Gil-Rodrigo, Sofia; Zanin, Massimiliano
IEEE Access 12, 75323 - 75336 (2024)

Related News

New research proposes using mathematical tool to decipher complex social dynamics

June 11, 2024
Researchers at the Institute of Cross-disciplinary Physics and Complex Systems develop a model that characterises the dynamics of group interactions The study, published in ‘Nature Communications’, uses temporal hypergraphs to study how conversation groups form in different social contexts Traditional ...

Understanding the energy costs of computing

May 15, 2024
Researchers from the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) UIB-CSIC (Mallorca, Spain), the University of Colorado, the Santa Fe Institute, and the The Abdus Salam International Centre for Theoretical Physics (ICTP), have made advancements that refine our fundamental ...

Climate change boosts olive tree-devouring bacteria in the Mediterranean

June 3, 2024
New research focuses on the impact of global warming on infection of European vineyards by Xylella fastidiosa under different climatic scenarios. Xylella fastidiosa, the deadly disease-causing bacterium that has already wiped out millions of plants of emblematic Mediterranean crops, like ...

On language preferences in multilingual societies

Nov. 15, 2023
Researchers at IFISC (UIB-CSIC) mathematically model linguistic ideologies to understand why some languages are spoken more than others.The study, published in Chaos, examines the influence of interaction between populations on linguistic dynamics. Researchers at the Institute for Cross-disciplinary Physics ...

A mathematical model characterizes different diseases caused by the bacterium Xylella fastidiosa

Feb. 6, 2024
Researchers at the Institute of Cross-disciplinary Physics and Complex Systems (IFISC, UIB-CSIC) have developed a mathematical model that characterizes the different diseases caused by the bacterium Xylella fastidiosa.Xylella fastidiosa, a major plant pathogenic bacterium, has emerged as a global ...

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