School on Statistical Physics of Complex Systems: Part I: Courses


17-07-2023 a 21-07-2023


9:30, 11:00 and 12:00


Facultaty of Physics


Classroom V11G, floor 1

 9:30 | “A complex systems approach to càncer”

Conferenciants: Profs. Stefano Zapperi and Caterina A.M. La Porta, Center for Complexity & Biosystems (CC&B), University of Milan, Italy.

Resum: The course will describe cancer as a complex system through an interdisciplinary approach based of systems biology, physics and environmental sciences. The topics of the lectures are the following:

1. Biological aspects of cancer. 2. Mathematical and physical models for cancer. 3. Cell migration and cancer metastasis. 4. A global health perspective for cancer. 5. Hands-on activity in python.,


11:00 | “Introduction to network geometry”

Conferenciant: Prof. M. Àngels Serrano, ICREA Research Professor, Department of Condensed Matter Physics & Institute of Complex Systems (UBICS), Universitat de Barcelona.

Resum: Complex networks of interactions permeate reality and have important implications. Examples are all around us---the Internet, food webs, international trade, online and offline social networks... ---, and inside us –biochemical interactions in our cells, the brain connectome... Surprisingly, these networks talk a common language, regardless of their origin, and are imprinted with universal features. In particular, neworks are small worlds and nodes are separated by a small minimal number of intermediate links. As a consequence, networks present an apparent lack of metric structure and are difficult to map. Yet, many networks have a hidden geometry that enables to embed them in low-dimensional hyperbolic space. The discovery of such hidden geometry and the understanding of its role have become fundamental questions in network science giving place to the field of network geometry. We will review fundamental concepts, models, and methods for the geometric description of real networks with a focus on applications of real network maps, including decentralized routing protocols, geometric community detection, and the self-similar multiscale unfolding of networks by geometric renormalization.


12:00 | “Movement ecology: analysis and modelization from statistical physics”

Conferenciants: Profs. Frederic Bartumeus, ICREA Research Professor, Department of Continental  Ecology, CEAB-CSIC, Blanes, Daniel Campos and Vicenç Mendez, Department of Physics, Universitat Autònoma de Barcelona (UAB).

Resum: Movement ecology embraces the study of the causes and consequences of movement of organisms, providing a link between individual behavior and spatial processes at population and community levels. Then, it provides a promising and challenging area of research where ideas from both statistical mechanics (stochastic movement) and complexity (information flows, backward causation, etc) can be applied. Besides, the new tracking technologies (e.g. GPS) have made that trajectories of biological organisms have become nowadays available at unprecedented temporal and spatial scales, attracting the interest of a large range of multidisciplinary scientists.

In this course we will provide an overview of this field and will illustrate its future potential by (i) reviewing some of the main areas of theoretical research in the field, and (ii) working out some particular examples of interest (analysis of microorganism trajectories, organization of ant colonies,…).


Link to the school for further information