On the eve of 20th century, three papers launched the modern Network Science by bringing it to the attention of a wider community of physicists, computer scientists and applied mathematicians. The papers – by Watts and Strogatz , Barabasi and Albert , and Google founders Brin and Page  – introduced “small world networks”, “preferential attachment,” and “PageRank” into the vernacular of network scientists. They showed that simple models could reproduce much of the complexity observed in network structure and that the structure of networks was linked to their function. As we mark the 20th anniversary of the publication of these seminal works, it is time to reflect on the state of Network Science and where the field is headed. What have we learned about networks over the past two decades? How does network structure affect its function? How do we represent networks, predict and control their behavior? How do networks grow and change? What are the limits of our understanding, and finally, what are the important open problems in network science?
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:
Technical details for the application are explained in the page:
The grants are for 1 year and renewable for a 2nd year in function of the results obtained.
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.
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