SIAM Workshop on Parameter Space Dimension Reduction (DR17)

SIAM Workshop on Parameter Space Dimension Reduction (DR17)
July 9-10, Pittsburgh, PA

The DR17 workshop brings together researchers across mathematics, statistics, and engineering to explore a range of emerging techniques for parameter space dimension reduction. Topics of interest include:

active subspaces
basis adaptation
inverse regression
sufficient dimension reduction
sloppy models
sensitivity analysis
ridge recovery and approximation
deterministic and statistical parameter estimation
applications with science and engineering simulations or data sets

Plenary speakers:
Francesca Chiaromonte, Penn State University
Mark Transtrum, Brigham Young University

The submission deadline is February 27. Submitted abstracts will be considered for a 20-minute presentation or poster. More details on the website:

Some travel support is available for students and early-career researchers. Deadline to apply for travel support is January 20.

DR17 Co-chairs
Paul Constantine, Colorado School of Mines
David Gleich, Purdue University

Organizing committee:
Juan J. Alonso, Stanford University
Nathan Baker, Pacific Northwest National Laboratory
R. Dennis Cook, University of Minnesota
Emilie Dufresne, Oxford University
Michael S. Eldred, Sandia National Laboratories
Michael Frenklach, University of California Berkeley
Roger Ghanem, University of Southern California
Omar Ghattas, University of Texas at Austin
Mark Girolami, Imperial College London
Gianluca Iaccarino, Stanford University
Youssef Marzouk, Massachusetts Institute of Technology
Gianluigi Rozza, Scuola Internazionale Superiore di Studi Avanti
Ralph Smith, North Carolina State University
Michael Wakin, Colorado School of Mines
Rachel Ward, University of Texas at Austin
Brian J. Williams, Los Alamos National Laboratory