Category: Announcements

CSS Junior Scientific Awards 2018

The CSS promotes the Junior Scientific Award to recognize the excellence in the scientific career of young CSS members. It will be awarded once a year to a maximum of two young researchers (up to ten years after PhD completion) who have achieved outstanding results in complexity science in any of the areas representative of the CSS.


ICCS 2018 T-Shirt Design Contest

The ICCS Executive Committee invites you to submit an original design to be featured on the official conference t-shirts. The design should incorporate complex systems ideas or concepts. Designs should be submitted by June 10, 2018. The ICCS Executive Committee will select the winner and announce their decision on June 20, 2018.

The winning contestant will receive two free t-shirts printed with their design, public recognition of their achievement, and the choice of (a) two free tickets to the Sunset Cruise on Saturday, July 21st, or (b) one free ticket to the Banquet on Wednesday, July 25th. 


New online class offers tools for tackling fundamental questions

New course online:

Algorithmic Information Dynamics: A Computational Approach to Causality and Living Systems From Networks to Cells

The course will introduce students to tools that allow them to explore causal relationships in complex datasets. Presented by the Santa Fe Institute to start in June.


Enrol online:


The course runs June 11 through September 3, 2018. Register online through Complexity Explorer.


Complexity and Data Analytics Summer Courses @NECSI

The NECSI Summer School offers two intensive week-long courses on complexity science, modeling and networks, and data analytics. The format of the courses is modular and you may register for either or both of the weeks. Each week also includes a one-day lab session. If desired, arrangements for credit at a home institution may be made in advance.

The first week offers an introduction to complex systems concepts and modeling. The second week will cover networks and data analytics. Participants will learn how to handle large datasets using academy- and industry-standard toolboxes, how to integrate data into the construction of models and analysis relevant to research and industry applications, and a variety of visualization techniques.

The courses are intended for faculty, graduate students, post-doctoral fellows, professionals and others who would like to gain an understanding of complexity science and data analytics for their respective fields, new research directions, or industry applications.

The schedule for the summer school is as follows:
• Lab 1: June 3 CX102: Computer Programming for Complex Systems
• Week 1: June 4-8 CX201: Concepts and Modeling
• Lab 2: June 10 CX103: Setting up for Data Analytics
• Week 2: June 11-15 CX202: Networks and Data Analytics