Registration is now open for SBP-BRIMS'16, the 2016 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation. SBP-BRIMS'16 will be held at the UCDC Center, downtown Washington DC, USA Jun 28 - July 1, 2016.

Link to the main conference pages, http://sbp-brims.org/2016/


Link directly to registration page, http://sbp-brims.org/2016/registration/

TRAVEL SUPPORT AVAILABLE !!
http://sbp-brims.org/2016/awards/

SBP-BRiMS 2016
SBP-BRiMS Conference

http://xcenternetwork.com/

The X-Center Network is a global community of multi disciplinary researchers & practitioners (mathematicians, environmental systems scientists, economists, business operations researchers, psychologists, professors, sociologists) from Austria, Finland, Germany, UK, Japan, Korea, France, Singapore and the US who have joined forces to build tools for decision makers and to research uncertainties, complexities and extreme events and their impact on human systems.

http://www.santafe.edu/news/item/72-hours-science-announce/

You really should read about the SFI Postdocs 72 hours of Science experiment. The postdocs came together to choose a research problem, perform research on the problem, and submit a draft of the study - all within 72 hours, holed up together in a house in Tesuque, New Mexico.

http://www.news.ucsb.edu/2016/016663/it-s-small-world

UCSB researchers reveal, to single-cell resolution, the network of circadian neurons that communicate to re-establish synchronization - See more at: http://www.news.ucsb.edu/2016/016663/it-s-small-world#sthash.N9lAT27Z.mSzB0bZh.dpuf

http://www.sciencedirect.com/science/article/pii/S037015731630062X


Combining complex networks and data mining: Why and how

با سلام

اگر در بین شما و یا دوستان شما کسی تمایل به ترجمه کتاب Network Science باراباشی داره، لطفا به بنده اطلاع بده.

http://barabasi.com/networksciencebook/call/?platform=hootsuite

@carimi

Everyone interested in complex systems should read this paper.

http://biorxiv.org/content/early/2016/05/26/055624

The crash course is for people relatively new to visualization in R, and you don’t need programming experience to put it to use. You start with the basics, move into more advance visualization, and then work through common stumbling blocks to avoid getting stuck.

http://flowingdata.com/2016/06/08/a-crash-course-for-visualizing-time-series-data-in-r/

review article
Exploring complex networks
Steven H. Strogatz

http://www.nature.com/nature/journal/v410/n6825/full/410268a0.html

Dear Friends and Colleagues,

Hi,

Recently Professor Albert-László Barabási, pioneer in network science at Northwestern University, has published his text book (http://barabasi.com/networksciencebook/) in the field. There has been a call for submitting proposals on translation of his book to other languages. Here, we are aiming to promote the translation of this book to the Farsi(Persian),therefore if you are expert in the network science or related area and you would like to help us in this project please join us. We appreciate the diversity in the team.

The deadline for submitting the proposal is July 1, 2016.
See here for more information about the proposal:
http://barabasi.com/networksciencebook/call/


Yours truly,

Amir Feizi

Introduction to Dynamical Systems and Chaos (Summer, 2016)

Lead instructor: David Feldman



https://www.complexityexplorer.org/courses/61-introduction-to-dynamical-systems-and-chaos-summer-2016


About the Course:

In this course you'll gain an introduction to the modern study of dynamical systems, the interdisciplinary field of applied mathematics that studies systems that change over time. 

Topics to be covered include: phase space, bifurcations, chaos, the butterfly effect, strange attractors, and pattern formation.  The course will focus on some of the realizations from the study of dynamical systems that are of particular relevance to complex systems:

1.  Dynamical systems undergo bifurcations, where a small change in a system parameter such as the temperature or the harvest rate in a fishery leads to a large and qualitative change in the system's
behavior.

2.  Deterministic dynamical systems can behave randomly.  This property, known as sensitive dependence or the butterfly effect, places strong limits on our ability to predict some phenomena.

3.  Disordered behavior can be stable.  Non-periodic systems with the butterfly effect can have stable average properties.  So the average or statistical properties of a system can be predictable, even if its details are not.

4.  Complex behavior can arise from simple rules.  Simple dynamical systems do not necessarily lead to simple results.  In particular, we will see that simple rules can produce patterns and structures of surprising complexity.

In the 1932 Annual Review of Fluid Mechanics, Horace Lamb said:

"I am an old man now, and when I die and go to heaven there are two matters on which I hope for enlightenment. One is quantum electrodynamics, and the other is the turbulent motion of fluids. And about the former I am rather optimistic."