The U.S. Association for Computational Mechanics (USACM) Thematic Workshop on Uncertainty Quantification and Data-Driven Modeling was held on March 23-24, 2017, in Austin, TX. The organizers of the technical program were James R. Stewart of Sandia National Laboratories and Krishna Garikipati of University of Michigan. The organization was coordinated through the USACM Technical Thrust Area on Uncertainty Quantification and Probabilistic Analysis. The purpose of this workshop was to bring together leading experts in uncertainty quantification, statistics, computer science, and computational science to discuss new research ideas in data-driven modeling. A total of 90 people attended, and the workshop included 20 talks and 34 posters. DOE’s Office of Advanced Scientific Computing Research provided financial support for students and postdocs to attend the workshop. A total of 10 postdocs and 27 graduate students, from 19 different (U.S.-based) institutions, received this support.