Menü

logo

Research +

“Reality is more complicated beyond what is thought at the initial condition.”
-Yeliz Karaca

Modern scientific thinking embraces systemic properties and addresses them by revealing the spontaneous processes concerning self-organization in a dynamical system in a state far from the equilibrium point and close to the disequilibrium point without any existence of an external force acting upon the system. Owing to these aspects, the modern way of thinking poses a challenge against the dichotomy between the natural world and social world by considering the concepts around complexity, evolution and order within particularly oriented taxonomies. Theories and applications along with the corresponding methodologies range within a variety of areas such as control theory, control systems, computational systems, social systems theory, systems biology, engineering, medicine, mathematics, exact sciences, natural sciences, system dynamics, physical laws, intelligence systems, robotic systems, service systems, computer science, systems engineering and systems psychology in complex systems, nonlinear systems, dynamical systems, chaotic systems, cybernetics, engineering theories, linguistics or systems theory, among many others.

Our past, present and future research endeavors aim at serving as a bridge to attain the ultimate goal of global understanding towards maintaining and preserving life quality of all species at universal spectra in the ever-evolving landscape and variations, with causality breaking down, the idea of complexity is an integral part of unifying and revolutionary scientific framework to expound complex systems whose behavior is perplexing to predict and control under uncertain, chaotic, transient circumstances.

Themes + News

Complexity with perplexity, sophistication in simplicity.
© 2025 SSNID - Yeliz Karaca. All rights reserved, including those for text and data mining, AI training, and similar technologies.