CCS 2026 | Call for Abstracts

Ready to shape the future of Complex Systems science? Join the the largest and most prestigious international conference in the field of complex systems science.

Posted May 1, 2026

By Amahury J. L. Díaz

2 min read

General Information

The 2026 Conference on Complex Systems will be held in Binghamton, New York, USA. Binghamton has a long history of creativity and innovation. The Greater Binghamton area has historically been called “the Valley of Opportunity” and attracted many immigrants (especially from Europe) since the mid-1800s, which has made the region’s rich and diverse culture and demographics. It is the birthplace of IBM (International Business Machines), Link Flight Simulator, McIntosh Laboratory, and a number of other pioneering ventures, fostering a spirit of ingenuity that continues to thrive.

Located at the confluence of the Susquehanna river (one of the oldest rivers in the world) and the Chenango river, the region boasts stunning natural beauty and offers ample opportunities for outdoor recreation, from hiking and biking to fishing and kayaking. In particular, in mid-October when CCS 2026 is held, the Binghamton area will showcase its renowned and breathtaking fall foliage. Furthermore, a vibrant arts and culture scene flourishes here, with numerous galleries, theaters, and music venues providing enriching experiences.

CCS 2026 will be held primarily in person on the main campus at Binghamton University, with an online participation option via Zoom.

Call for Abstracts

We call for submissions of abstracts for oral and poster presentations on a wide variety of complex systems research. Relevant topics include (but are not limited to):

Theoretical foundations of complex systems
Nonlinear dynamics and chaos
Systems theory, information theory, and systems science
Game theory, decision theory, and socio-economical applications
Self-organization, pattern formation, and collective behavior
Structure and dynamics of complex networks
Sustainability and adaptability of complex systems
Bio-inspired systems, machine learning, and evolutionary computation
Data-driven approaches to complex systems
Applications to the humanities, art, and literature
Historical and philosophical aspects of complex systems
Complex systems and education

Submissions should be made via the EasyChair submission system as a single PDF file in extended abstract format (1 page, including one mandatory figure).