This event is part of Uncertainty Quantification and AI for Complex Systems View Details

UQ and Trustworthy AI Algorithms for Complex Systems and Social Good

March 3 — 7, 2025

Description

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This workshop will offer an overview, tutorials, and perspectives on Uncertainty Quantification (UQ) and Trustworthy AI Algorithms that are specifically designed for complex systems and social good. In particular, the workshop will 

  • Critically review a number of important AI algorithms including deep neural networks, causal learning, generative learning frameworks, and variational algorithms,
  • Explore state-of-the-art UQ methods that have incorporated the latest AI/ML algorithms in predictive modeling and analysis of complex systems such as the climate, social networks, natural disasters, advanced habitation systems, or manufacturing for space exploration, 
  • Discuss the ethical and explainability of AI algorithms that aim to increase their trustworthiness through transparency, fairness, and reliability, 
  • Showcase real-world case studies where UQ and trustworthy AI have been successfully implemented for, e.g., climate modeling, communications and navigation, disaster and pandemic response coordination, wildlife protection, traffic management, or disease diagnosis and treatment.

Funding

NOTE: All funding for this workshop has been allocated.

Lightning Talks

This workshop will include lightning talks for early career researchers (including postdocs; graduate students are not eligible). In order to propose a lightning talk, you must first register for the workshop, and then submit a proposal using the form that will become available on this page after you register. The registration form should not be used to propose a lightning talk.

The deadline for proposing a lightning talk is February 9, 2025. If your proposal is accepted, you should plan to attend the event in-person.

Poster Session

This workshop will include a poster session for postdocs and graduate students. In order to propose a poster, you must first register for the workshop, and then submit a proposal using the form that will become available on this page after you register. The registration form should not be used to propose a poster.

The deadline for proposing a poster is February 9, 2025. If your proposal is accepted, you should plan to attend the event in-person.

Organizers

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J B
Julie Bessac National Renewable Energy Laboratory (NREL)
R B (
Ramin Bostanabad (Lead) University of California, Irvine
M G
Mengyang Gu University of California, Santa Barbara
N E K
Natalie Elizabeth Klein Los Alamos National Laboratory
G L
Guang Lin Purdue University
C S
Chih-Li Sung Michigan State University

Speakers

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L B
Lorena Barba George Washington University
A C
Alex Cannon Environment and Climate Change Canada
W C
Wei Chen Northwestern University
A D
Alireza Doostan University of Colorado, Boulder
A G W
Andrew Gordon Wilson New York University
J G
Johann Guilleminot Duke University
T H
Trevor Harris University of Connecticut
P K
Pramod Khargonekar University of California
S K
Sujay Kumar NASA
A B L
Ann B Lee Carnegie Mellon University
A O
Assad Oberai University of Southern California
A T
Alex Taflanidis University of Notre Dame
N U
Nathan Urban Brookhaven National Laboratory
X Y
Xianjin Yang Caltech

Schedule

Monday, March 3, 2025
9:00-9:30 CST
Check-in, Breakfast, and Welcome
9:30-10:30 CST
Perspectives on hydrological data assimilation enhancements, challenges, and opportunities

Speaker: Sujay Kumar (National Aeronautics & Space Administration (NASA) Goddard Space Flight Center)

10:30-11:15 CST
Coffee Break
11:15-12:15 CST
Interpretable machine learning for analysis and prediction of weather and climate extremes

Speaker: Alex Cannon (Environment and Climate Change Canada)

12:30-13:30 CST
Lunch Break
13:30-14:30 CST
TBA

Speaker: Alex Taflanidis (University of Notre Dame)

14:30-15:00 CST
Coffee Break
15:00-16:00 CST
Local Spectral Conformal Inference for Operator Models

Speaker: Trevor Harris (University of Connecticut)

Tuesday, March 4, 2025
9:00-9:30 CST
Check-in and Breakfast
9:30-10:30 CST
(tentative) Towards instance-wise diagnostics and calibration of conditional density models

Speaker: Ann B. Lee (Carnegie-Mellon University)

10:30-11:15 CST
Coffee Break
11:15-12:15 CST
TBA

Speaker: Daniel Williamson (University of Exeter)

12:30-13:30 CST
Lunch Break
13:30-14:30 CST
TBA

Speaker: Lorena A. Barba (George Washington University)

14:30-15:00 CST
Coffee Break
15:00-16:00 CST
Panel 1: UQ for a Sustainable Future

Panelists: Sujay Kumar (NASA), Gemma Anderson (Lawrence Livermore National Lab (LLNL)), Daniel Williamson (University of Exeter), Alex Cannon (Environment and Climate Change Canada), and Alex Taflanidis (University of Notre Dame)

Moderator: Chih-Li Sung (Michigan State University)

Wednesday, March 5, 2025
9:00-9:30 CST
Check-in and Breakfast
9:30-10:30 CST
Computational Methods for Design under Uncertainty in Accelerating the Innovation of Complex Material Systems

Speaker: Wei Chen (Northwestern University)

10:30-11:15 CST
Coffee Break
11:15-12:15 CST
Conditional Diffusion Models for Probabilistic Data Assimilation

Speaker: Assad Oberai (University of Southern California (USC))

12:30-13:30 CST
Lunch Break
13:30-14:30 CST
Uncertainty Quantification and Generative Modeling Using Multi-fidelity Strategies

Speaker: Alireza Doostan (University of Colorado, Boulder)

14:30-15:00 CST
Coffee Break
15:00-16:00 CST
Robust Learning of Latent Space Dynamics

Speaker: Johann Guilleminot (Duke University)

Thursday, March 6, 2025
9:00-9:30 CST
Check-in and Breakfast
9:30-10:30 CST
When Bayesian Orthodoxy Can Go Wrong: Model Selection and Out-of-Distribution Generalization

Speaker: Andrew Wilson (New York University)

10:30-11:15 CST
Coffee Break
11:15-12:15 CST
Lightning Talks
12:30-13:30 CST
Lunch Break
13:30-14:30 CST
Panel 2: UQ in Education, Academic Research, and Industrial Applications

Panelists: Andrew Wilson (New York University), Pramod Khargonekar (UC Irvine), Gemma Anderson (Lawrence Livermore National Lab (LLNL)), and Jodi Mead (NSF)

Moderator: Guang Lin (Purdue University)

14:30-16:30 CST
Poster Session/Social Hour
Friday, March 7, 2025
9:00-9:30 CST
Check-in and Breakfast
9:30-10:30 CST
TBA

Speaker: Nathan Uban (Brookhaven National Laboratory)

10:30-11:15 CST
Coffee Break
11:15-12:15 CST
AI Engineering and Complex Systems

Speaker: Pramod Khargonekar (University of California, Irvine (UCI))

12:30-13:30 CST
Lunch Break
13:30-14:30 CST
Concluding Remarks

Registration

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