UNESCO UniTwin Complex Systems Digital Campus I Peru
UNESCO UniTwin Complex Systems Digital Campus I Peru
The UNESCO UniTwin Complex Systems Digital Campus (CS-DC) is a worldwide network of individuals and institutions collaborating to advance research and education in complex systems science and integrative sciences. Established in July 2014 through a Cooperation Programme with the Director-General of UNESCO, the CS-DC unites more than 120 higher education and research institutions across the globe under the UNESCO UniTwin framework. https://www.cs-dc.org/cs-dc-members.html
The CS-DC promotes large-scale collaborative and socially intelligent strategies aimed at transforming scientific and educational practices. Its initiatives address pressing scientific, societal, and environmental challenges in an increasingly interconnected world. Through its e-campus, composed of e-Departments, e-Laboratories, and e-Teams, the network fosters open access to knowledge, shared resources, and innovative methods in complex systems and integrative science research. https://www.cs-dc.org/
President: Prof. Paul Bourgine – École Polytechnique, France
Deputy President: Prof. Jeff Johnson – The Open University, United Kingdom
CS-DC.country aims to establish the roadmap of complex systems for each nation, articulating the scientific, technological, and social challenges specific to its context. This approach allows each country to contribute to the global living roadmap of the Complex Systems Digital Campus (CS-DC) according to its local needs and strengths.
In the case of CS-DC.pe, the Morphodynamic Neuroscience and Behavior Lab, is a e-Laboratory based in Peru, serves as the main hub and initial driving force of this initiative. From this foundation, the process has expanded to support the creation of the Latin American roadmap on neuroscience and complexity, which is currently in progress. The development of this roadmap follows a participatory approach based on eSeminars — virtual discussion spaces where researchers and specialists share advances, theories, and methodologies related to complexity.
SIRE (Socially Intelligent Roadmap Ecosystem) is a digitally and socially intelligent platform designed to accelerate the development of the living roadmap of complex systems. The e-Laboratory on Morphodynamic Neuroscience and Behavior(also known as the Morphodynamic Neuroscience and Behavior Lab) is the most recently established laboratory within the UNESCO UniTwin Complex Systems Digital Campus (CS-DC). It is part of the e-Department “From Individual to Social Cognition” and operates within the framework of SIRE (Socially Intelligent Roadmap Ecosystem).
Part of the UNESCO Complex Systems Digital Campus (CS-DC) network, this e-Laboratory promotes interdisciplinary research on the morphogenesis, functional approach and morphodynamics of the brain and behavior. Its scientific roadmap has been collaboratively developed through multiple e-Seminars within the CS-DC framework. Based on this work, a forthcoming publication will appear as an invited paper: Oruro, E.M., Pardo, G.E., Rasia-Filho, A.A., & Garcia-Cairasco, N. (in preparation). New directions for complex systems in contemporary neuroscience: A morphodynamics and emergent functions approach. Frontiers | Theoretical and Computational Insights into Brain-Based Cognition
Heads of the Lab:
Grace Pardo, PhD – Leader of the Roadmap on Simulation of the Mother–Infant Relationship, Morphodynamic Neuroscience and Behavior Lab (CS-DC), grace.pardo@gmail.com
Enver Oruro, PhD – Ambassador and Member of the Executive Committee of UNESCO CS-DC (Complex Systems Digital Campus), France.
Luis A. Aguilar Mendoza, PhD – Board Member, UNESCO CS-DC
School of Human Medicine, Universidad Continental, Peru
Teresa Salinas Gamero, MSc – Board Member, UNESCO CS-DC
Executive Director, Instituto Peruano del Pensamiento Complejo Edgar Morin (IPCEM), Universidad Ricardo Palma (URP), Peru
Julian Tejada, PhD
Department of Psychology, Universidade Federal de Sergipe, Brazil
Norberto Garcia-Cairasco, PhD
Director, Neurophysiology and Experimental Neuroethology Laboratory (LNNE);
Department of Physiology, Ribeirão Preto School of Medicine;
University of São Paulo, Brazil
Alberto A. Rasia-Filho, PhD
Department of Basic Sciences / Physiology and Graduate Program in Biosciences, Universidade Federal de Ciências da Saúde de Porto Alegre;
Graduate Program in Neurosciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
Salma Mesmoudi, PhD
Sorbonne University Paris 1; Institut des Systèmes Complexes de Paris Île-de-France (ISC-PIF), Paris, France
Yuefan Deng, PhD
Professor of Applied Mathematics and Statistics, Stony Brook University, NY, USA