NSF Institute for Data-Driven Dynamical Research

The Institute for Data-Driven Dynamical Research aims to address the challenge of predicting dynamical processes in materials, including ion and molecular transport, catalytic pathways, and phase transformations in metamaterials, with a focus on discovering fundamentally new mechanisms and pathways. The institute’s data science innovations may advance fields both within and beyond STEM involving complex time-evolving systems including molecular biology, atmospheric science, geophysics and physical cosmology.

Led by the Colorado School of Mines, this virtual institute brings together data scientists, engineers, physicists, chemists and material scientists from 11 other institutions across the U.S.: Northeastern University; University of Illinois Urbana-Champaign; Drexel University; Northwestern University; University of California, Los Angeles; University of Central Florida; Harvard University; Princeton University; Washington University in St. Louis; Tufts University; and industry partner Kebotix, Inc. 

This project is part of the National Science Foundation’s Big Idea activities in Harnessing the Data Revolution (HDR). The award by the Office of Advanced Cyberinfrastructure is jointly supported by the Divisions of Chemistry, Materials Research, and Mathematical Sciences within the NSF Directorate for Mathematical and Physical Sciences.