Description

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The field of Uncertainty Quantification (UQ) has broad applications in science and engineering and provides a computational framework for quantifying input and response uncertainties, making model-based predictions and their inferences. As science and technology advance, UQ problems become more complex and diverse, requiring many concepts and tools from mathematics, statistics, machine learning, optimization, and advanced computing techniques. The fast development of Artificial Intelligence (AI) has benefited many fields, including UQ. Specifically, new AI and machine learning algorithms are applied to solve larger-scale and more complicated UQ problems. UQ, together with the advancements in AI and machine learning, has the potential to drive new scientific discoveries and enable engineers to design more robust and reliable systems.

This long program will focus on the newest development of UQ methodologies and how they can improve AI systems and provide solutions to modeling complex systems. It will also give an outlook on future UQ directions and challenges. Through all the activities proposed, the program will bring together interested parties, researchers, practitioners, and students, from different areas of UQ, promote communication, and further break down the barriers between disciplines. The program also has a significant mentoring component, which connects researchers and students at different career stages.

General Information on Long Programs

Long program participants spend time (generally, anywhere from a few days up to the full length of the program) in-person at IMSI with other researchers, creating new collaborations and generating new research in the program’s focus area. Participants who are only intending to apply for a workshop should not apply for the long program but should apply for the relevant workshop(s) instead. Long program participants can be PhD students, Postdocs, Faculty, or Researchers outside of academia such as national labs, industry, government, etc. There is some funding available, and funding can be requested in the application.

Organizers

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M A
Mihai Anitescu Argonne National Laboratory and University of Chicago
D B
Derek Bingham Simon Fraser University
X D
Xinwei Deng Virginia Tech
D E
Donald Estep Simon Fraser University
R B G
Robert B. Gramacy Virginia Tech
F H
Fred Hickernell Illinois Institute of Technology
R J
Roshan Joseph Georgia Tech
L K
Lulu Kang University of Massachusetts — Amherst
C D L
C. Devon Lin Queen’s University
G L
Guang Lin Purdue University

Program Workshops

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Application

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Applications received by January 5, 2024 will have the first priority for consideration.

In order to apply for this program, you must first have an IMSI account and be logged in. Please login or create an account, and then return to this page to apply for the program.