Statement on Inclusiveness
As a professional society, SIAM is committed to providing an inclusive climate that encourages the open expression and exchange of ideas, that is free from all forms of discrimination, harassment, and retaliation, and that is welcoming and comfortable to all members and to those who participate in its activities. In pursuit of that commitment, SIAM is dedicated to the philosophy of equality of opportunity and treatment for all participants regardless of gender, gender identity or expression, sexual orientation, race, color, national or ethnic origin, religion or religious belief, age, marital status, disabilities, veteran status, field of expertise, or any other reason not related to scientific merit. This philosophy extends from SIAM conferences, to its publications, and to its governing structures and bodies. We expect all members of SIAM and participants in SIAM activities to work towards this commitment.
To RSVP to the conference on Facebook and connect with other attendees, find roommates etc., please visit https://www.facebook.com/events/1774323459548791/.If you are tweeting about the conference, please use the designated hashtag to enable other attendees to keep up with the Twitter conversation and to allow better archiving of our conference discussions. The hashtag for this meeting is #SIAMUQ18. SIAM’s Twitter handle is @TheSIAMNews.
Conference Organizing Committee
Organizing Committee Co-Chairs
Youssef Marzouk, Massachusetts Institute of Technology, USA
Ralph C. Smith, North Carolina State University, USA
Michael Stein, University of Chicago, USA (ASA Representative)
Daniela Calvetti, Case Western Reserve University, USA
Mark Girolami, Imperial College London and Alan Turing Institute, United Kingdom
Matthias Heinkenschloss, Rice University, USA
Frances Kuo, University of New South Wales, Australia
Alison Marsden, Stanford University, USA
Habib Najm, Sandia National Laboratories, USA
Akil Narayan, University of Utah, USA
Claudia Schillings, Universität Mannheim, Germany
Christoph Schwab, ETH-Zurich, Switzerland
Nathan Urban, Los Alamos National Laboratory, USA
Chris Wikle, University of Missouri, USA
Uncertainty quantification (UQ) is essential for producing informative computational predictions in a wide range of sciences and engineering. The field relies on a broad range of mathematical and statistical foundations, with associated algorithmic and computational developments. This conference will bring together mathematicians, statisticians, scientists, and engineers with an interest in the development and implementation of uncertainty quantification methods. Major conference themes will include the mathematical and statistical foundations of UQ, applications of UQ in the physical sciences and biosciences, and connections between UQ and machine learning. The goal of the meeting is to provide a forum to share ideas and enhance communication among this diverse group of technical experts, thereby contributing to future advances in the field.
SIAM and the Conference Organizing Committee wish to extend their thanks and appreciation to the U.S. National Science Foundation for its support of this conference.
- Mathematical and statistical foundations of UQ
- UQ in machine learning and data science
- UQ in the physical sciences
- UQ in biosciences and bioengineering
September 18, 2017 DEADLINE EXTENDED to September 25, 2017: Minisymposium Proposal Submissions
October 16, 2017: Contributed Lecture, Poster, Minisymposteria and Minisymposium Presentation Abstracts
TRAVEL FUND APPLICATION DEADLINE
October 6, 2017 DEADLINE EXTENDED to October 20, 2017: SIAM Student Travel Award and Post-doc/Early Career Travel Award Applications
PRE-REGISTRATION RATE DEADLINE
March 19, 2018: Disconnect time is midnight EDT
HOTEL RESERVATION DEADLINE
March 19, 2018