Though he was best known for his contributions to particle physics, for which he won the 1969 Nobel prize in physics, Gell-Mann wanted to understand the “chain of relationships” that connected the universal laws of physics to complex systems like economies and human cultures. These two extremes of interest he described in his 1994 book, The Quark and the Jaguar, as “two aspects of nature…on the one hand, the underlying physical laws of matter and the universe, and on the other, the rich fabric of the world that we perceive directly and of which we are a part.”

Source: www.santafe.edu

The C3-UNAM announces that each year there will be 2 periods, April-May and December-January, that applications will be received for 2 postdoctoral grants from the UNAM to realize research at the C3-UNAM, starting in September and March, respectively (4 postdoc grants yearly). The purpose of the grants is to realize research in complexity science in one of the following areas: computational intelligence and mathematical modeling, complexity and health, neurosciences, ecological complexity and environment (postdoctoral grants for research in humanistic sciences such as social complexity, and arts, science and complexity will be announced separately), please find the academic programs that are developed at the C3-UNAM in the page:
https://www.c3.unam.mx/progacademicos.html
Technical details for the application are explained in the page:
http://dgapa.unam.mx/images/posdoc/2019_posdoc_convocatoria.pdf
The grants are for 1 year and renewable for a 2nd year in function of the results obtained.

Source: www.c3.unam.mx

The Human Generosity Project is the first large-scale transdisciplinary research project to investigate the interrelationship between biological and cultural influences on human generosity. We use multiple methodologies to understand the nature and evolution of human generosity including fieldwork, laboratory experiments and computational modeling.

Source: www.humangenerosity.org

Gain new insights that reframe your thinking, specific tools to advance current projects, and perspectives to set new directions.

Dates: June 2 – 14, 2019
Location: MIT, Cambridge, MA

The NECSI Summer School offers two intensive week-long courses on complexity science: modeling and networks, and data analytics. You may register for any of the weeks. If desired, arrangements for credit at a home institution may be made in advance.

Lab 1: June 2 CX102: Computer Programming for Complex Systems
Week 1: June 3-7 CX201B: Concepts and Modeling
Lab 2: June 9 CX103: Setting up for Data Analytics
Week 2: June 10-14 CX202B: Networks and Data Analytics

Source: necsi-global.org

Complexity occurs when relevant interactions prevent the study of elements of a system in isolation. These interactions between elements may lead to the self-organization of the system. In computational intelligence, complexity and self-organization have been studied and exploited with different purposes. This Research Topic aims to bring together novel research into a coherent collection, spanning from theory and methods to simulations and applications.

Computational measures of complexity and self-organization have been proposed and applied to study a broad range of phenomena. Methodologies for facing complexity and harnessing self-organization have been used to design and build a variety of systems. Computer simulations have been tools which enabled us to study complexity and self-organization, from cellular automata and artificial neural networks to multi-agent systems and computational social science. The applications of these approaches have been vast.

Considering that complexity and self-organization are very broad themes, this Research Topic focusses only on the aspects related to computational intelligence.

 

Submission Deadlines
31 July 2019 Abstract
30 September 2019 Manuscript

Source: www.frontiersin.org