Centers
Center for Complex Data Systems (CCDS)
The Center promotes and facilitates collaborations between researchers working in natural sciences, cognitive/social sciences, data-intensive applications, advanced computing and visualization, mathematical modeling and implementation of optimal algorithmic and numerical methods. It integrates with the advanced resources provided by the Research Computing group, implementing state-of-the-art, scalable numerical procedures developed within academic and industry-related research, and creating a dynamic 鈥渟oftware repository鈥� that facilitates interdisciplinary collaborations and portability of solutions between distinct scientific areas. One of the Center priorities is to attract and train graduate students to prepare them for the new challenges of the modern workforce, by combining fundamental research with industry-oriented project development.
The goal of the center is to provide an integrated, interdisciplinary, synergistic response to the computational challenges in quantitative sciences arising from the analysis of data with high complexity (due either to its data structure, relational characteristics, or to sheer dimensionality/dynamics of the data collection).
Analysis of data with high complexity is at the core of some of the main challenges of quantitative sciences today: physical sciences studies related to multi-scale complex systems (advanced material design, stability of power grids, or atmospheric and ocean dynamics); clinical studies in medicine, molecular and quantitative biology, and related areas; large-scale simulations of social systems and user-driven interactions (from economic trade to social networks).
The Center's objective is to establish a collaborative structure to address re