Rheology is a scientific discipline of studying the deformation and flow of matter, in which intimate cooperation of multiple modes of dynamics at varying length scales involving the atomistic, molecular, nano- and meso-scopic structures plays an essential role. Consequently, it can indeed serve as an important tool to promote a disciplinary integration, and to catalyze intelligent manufacturing and engineering practice in industry. The scope of research in the field of rheology is very broad, for instance, it involves many manufacturing processes in industry, including metal and non-metallic materials processing (3D printing), pharmaceutical, semiconductor and integrated circuit, machinery, civil engineering, metallurgy, petroleum, chemical, textile, plastics, rubber, paint, dressing, food, light industry, papermaking, wastewater treatment and environmental engineering etc. The systems rheology focuses on construction of constitutive equations for complex fluids and soft materials as well as their industrial applications. Simultaneously, its task is to reveal details of the chemical and physical processes occurring at  many length and time scales and then to explore the mechanism of their coupling, which enables us to effectively regulate the structures and properties of the materials. By relying on the "Tianhe 2" High-Performance Computing Center and Service Center for The Science and Engineering Big Data (Guangzhou University), Institute for Systems Rheology (ISR) will link many corresponding disciplines closely together in order to investigate multiscale dynamics and their nonlinear cooperations in complex materials. We aim to build a theoretical foundation and provide a strong technical support for functional design of composite and bio-inspired materials, optimization of engineering processing of novel materials, as well as industrial applications of new technologies. Particularly, we strive to make a breakthrough on key technologies involved in the interdisciplinary research fields of “soft intelligent robot” and “systems biology and biomedical science” driven by big data in the next few years. So far, ISR has appointed Prof. Gerald G. Fuller (Department of Chemical Engineering, Stanford University, USA) and Prof. Masao Doi (Beihang University, Beijing, China) as visiting professors.