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Universitat de Barcelona Institute of Complex Systems

Complex systems are characterized by their emergent behavior as a non-trivial result of the evolution of a considerable number of microscopic units that interact with each other. Expressed in other words: the study of complex systems seeks to understand the behavior and properties of the whole system that can not be derived directly from the study of the properties of its parts in isolation.

This is the essence of the research of complex systems, where the nature of the units is irrelevant. Associated strategies to address the study of a specific phenomenon, then, may be widely shared by a large number of phenomena characteristic of various disciplines. Even we can say that the complexity of the science itself is the result of the fusion of different disciplines and approaches on the same challenge. Therefore, the study of complex systems integrates problems and merges methodologies that can have very different origins.

The creation of the UBICS will join efforts of several groups of related research that will:

  • Access to funding sources not accessible to the research groups separately
  • A greater capacity for dialogue between disciplines
  • Promoting synergies between researchers from different fields
  • Improve the quality of research Increasing scientific production in the border areas of research areas that make up the UBICS 
  • Substantially increase the innovative capacity and transfer knowledge to society
  • Consolidate and promote joint activities already developed new Increasing the visibility of social research on complex systems

The research at the Institute is structured along four major pillars. Together, they combine the exploration of new concepts in the field of Complex Systems and their application in different scientific and social disciplines.

RESEARCH LINES:

Foundations Science of Matter Life Sciences Social Sciences
Statistical Physics  Soft Matter Molecular Biophysics Psychology and Behavior
Networks  Complex Flows and Complex Fluids  Cell and Multicellular Biology  Economy and Finance 
Dynamical systems  Active Matter  Systems Biology  Linguistics
Data Science  Smart Materials Neuroscience  History 

recent news

Predoc contracts

grants 12/09/2023

news picture no: 27

Predoc contracts, fully funded for 4 years, offer from Universitat de Barcelona. Some projects leaded by UBICS researchers

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Mystery of microgels solved

albert papers 24/07/2023

news picture no: 77

Researchers at Institute of Complex Systems from the University of Barcelona and Paul Scherrer Institute PSI have managed to explain the strange behaviour of microgels. Their measurements using neutron beams have pushed this measuring technique to its limits. The results open up opportunities for new applications in materials and pharmaceutical research.

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Oferta de feina

albert grants 28/02/2023

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OFERTA FEINA Tècnic de suport al @UB_ICS

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latest publications

Collective motion of run-And-Tumble repulsive and attractive particles in one-dimensional systems

Gutiérrez, C. Miguel Barriuso ;Vanhille-Campos, Christian ;Alarcón, Francisco ;Pagonabarraga, Ignacio ;Brito, Ricardo ;Valeriani, Chantal
SOFT MATTER 1744683X (2022)
abstract

Active matter deals with systems whose particles consume energy at the individual level in order to move. To unravel features such as the emergence of collective structures, several models have been suggested, such as the on-lattice model of run-And-Tumble particles implemented via the persistent exclusion process (PEP). In our work, we study a one-dimensional system of run-And-Tumble repulsive or attractive particles, both on-lattice and off-lattice. Additionally, we implement cluster motility dynamics in the on-lattice case (since in the off-lattice case, cluster motility arises from the individual particle dynamics). While we observe important differences between discrete and continuous dynamics, few common features are of particular importance. Increasing particle density drives aggregation across all different systems explored. For non-Attractive particles, the effects of particle activity on aggregation are largely independent of the details of the dynamics. In contrast, once attractive interactions are introduced, the steady-state, which is completely determined by the interplay between these and the particles' activity, becomes highly dependent on the details of the dynamics. 

doi

Scale-free behavioral cascades and effective leadership in schooling fish

Múgica, Julia;Torrents, Jordi ; Cristín, Javier ;Puy, Andreu; Miguel, M. Carmen,; Pastor-Satorras, Romualdo
Scientific Reports 20452322 (2022)
abstract

Behavioral contagion and the presence of behavioral cascades are natural features in groups of animals showing collective motion, such as schooling fish or grazing herbivores. Here we study empirical behavioral cascades observed in fish schools defined as avalanches of consecutive large changes in the heading direction of the trajectory of fish. In terms of a minimum turning angle introduced to define a large change, avalanches are characterized by distributions of size and duration showing scale-free signatures, reminiscent of self-organized critical behavior. We observe that avalanches are generally triggered by a small number of fish, which act as effective leaders that induce large rearrangements of the group’s trajectory. This observation motivates the proposal of a simple model, based in the classical Vicsek model of collective motion, in which a given individual acts as a leader subject to random heading reorientations. The model reproduces qualitatively the empirical avalanche behavior observed in real schools, and hints towards a connection between effective leadership, long range interactions and avalanche behavior in collective movement. 

doi

Temporal mapping of derived high-frequency gene variants supports the mosaic nature of the evolution of Homo sapiens

Andirkó, Alejandro, Moriano, Juan ; Vitriolo, Alessandro, ;Kuhlwilm, Martinf, ;Testa, Giuseppe, ; Boeckx, Cedric
Scientific Reports 20452322 (2022)
abstract

Large-scale estimations of the time of emergence of variants are essential to examine hypotheses concerning human evolution with precision. Using an open repository of genetic variant age estimations, we offer here a temporal evaluation of various evolutionarily relevant datasets, such as Homo sapiens-specific variants, high-frequency variants found in genetic windows under positive selection, introgressed variants from extinct human species, as well as putative regulatory variants specific to various brain regions. We find a recurrent bimodal distribution of high-frequency variants, but also evidence for specific enrichments of gene categories in distinct time windows, pointing to different periods of phenotypic changes, resulting in a mosaic. With a temporal classification of genetic mutations in hand, we then applied a machine learning tool to predict what genes have changed more in certain time windows, and which tissues these genes may have impacted more. Overall, we provide a fine-grained temporal mapping of derived variants in Homo sapiens that helps to illuminate the intricate evolutionary history of our species. 

doi
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