The Center for Informatics and Computational Science (CICS) at the University of Notre Dame develops mathematical, statistical, and scientific computing techniques to address unifying challenges in the predictive modeling and design under uncertainty of complex systems in physical, chemical, and biological sciences and engineering.


Established in December 2017, the Center serves as an interface of multiple disciplines within the Colleges of Engineering and Science to improve the modeling, prediction, and design of complex systems using an information-theoretic approach. The CICS emphasizes an interdisciplinary approach that integrates information and data sciences with mathematical and statistical modeling of uncertainties to support the predictive modeling of multiscale/multiphysics systems. Members develop methodologies to predict system performance with probabilistically quantified confidence, while accounting for variations that occur due to environmental conditions and manufacturing, as well as from parametrization of models, limited and noisy data, and more.


Through the CICS, faculty and students utilize an distinct research approach by exploring several fundamental and application areas, such as computational mathematics, computational statistics, ecological forecasting, and fluid mechanics, to address unifying challenges in modeling and design under uncertainty of complex systems and products. 


Members conduct innovative research targeting complex mathematical, statistical, and scientific computing challenges for the data-driven predictive modeling and design under uncertainty of complex scientific and engineered systems.


Given predictive computational science is based on the integration of theory, modeling, and experimentation, the CICS offers many diverse research, educational, and outreach opportunities.


The Center for Informatics and Computational Science is a part of Notre Dame Research.