The 2018 Winter School provides an overview of complexity and complex systems science that empowers participants search for their own answers to these questions. The knowledge gained will enable participants to apply complexity science ideas in their own domains.
Essentially the school will:
teach basic aspects of complexity and complex systems, answering the question: What makes a system complex? Aspects that will be covered include nonlinearity, order disorder & chaos, emergence and complex adaptive systems
introduce methods, models and simulation tools to study the behaviours of complex systems and provide hands-on experience on through the use of software for building, simulating and visualizing complex networks. Participants are encouraged to bring their own data, work in groups mentored by instructors. Participants will then have the opportunity to present their own findings at the end of the week long course.
provide insights into how complexity manifests itself in real life e.g. politics & governance, eco-systems, cities and spreading phenomena such as rumours, epidemics, economics and innovation.
Winter School on Complexity Science
Date: 22-23 & 26-28 March 2018
Venue: Nanyang Executive Centre, NTU, Singapore
The purpose of the meeting is to bring together the national community of physicists working on statistical physics and related areas, in order to exchange knowledge, results and discuss new lines of research. We also invite a group of internationally-well known scientists who have made fundamental contributions in their respective fields. This provides the opportunity to exchange ideas between national and foreign colleagues in a pleasant, inclusive and informal environment.
The main program consists of plenary lectures given by selected invited speakers who present, in a non-technical way the “state of the art” in their fields of study, as well as their main contributions to the field. We invite students and postdocs to submit abstracts by December 5th to be considered in the poster session.
The XLVII Winter Meeting on Statistical Physics will take place in the city of Puebla, Puebla, México
from the 07th to the 10th of January 2018
Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline—including sociology, transportation, economics and finance, biology, and myriad others—and the study of “network science” has thus become a crucial component of modern scientific education.
The school “Complex Networks: Theory, Methods, and Applications” offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields.
COMPLEX NETWORKS: THEORY, METHODS, AND APPLICATIONS
Lake Como School of Advanced Studies
Villa del Grumello, Como, Italy, 14-18 May 2018
*** DEADLINE FOR APPLICATION: February 18, 2018 ***
Place & Date: 9am – 4:30pm, Nov 14th, 2017 at Clark Center S360, Stanford University.
Registration link: https://goo.gl/forms/rfb9S4jNQmsuKetf1
There will be three focusing questions for the Symposium:
What is “Complexity Science”?
How is Complexity Science integrated into various disciplines?
How does Complexity Science affect how we solve scientific, social, or philosophical problems?
All proceedings of the Symposium will be professionally video recorded and uploaded to our Youtube account, https://www.youtube.com/user/StanfordComplexity