Assessing the Economic and Environmental Consequences of Climate Change

Incorporating Uncertainty and Quantifying Its Importance

Description

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This workshop convenes leading researchers from diverse disciplines to explore the development of better and more credible models of the dynamic interactions of climate change and economic activity. We will leverage advances from a variety of fields to explore novel and revealing forms of uncertainty quantification pertinent to the design of prudent policies related to climate change. Advanced computational methods are an essential tool for solving and analyzing dynamic models under broad-based formulations of uncertainty at the required levels of spatial and temporal granularity. This workshop will bring together world-renowned experts in the areas of climate science, computational methods, geosciences, statistics, and economics to explore synergies that will lead to modeling improvements in the future.

This workshop is being organized in collaboration with the Macro Finance Research Program.

Organizers

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L P H
Lars Peter Hansen University of Chicago
E R
Esteban Rossi-Hansberg University of Chicago
R W
Rebecca Willett University of Chicago

Schedule

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Friday, March 31, 2023
9:00-10:00 CDT
Mitigating Disaster Risks in the Age of Climate Change

Speaker: Harrison Hong (Columbia University)

10:00-10:30 CDT
Coffee Break
10:30-11:30 CDT
Tutorial on Conformal Prediction and Distribution-Free Uncertainty Quantification

Speaker: Anastasios N. Angelopoulos (University of California, Berkeley (UC Berkeley))

11:30-13:00 CDT
Lunch
13:00-14:00 CDT
Exploring all possible climates with Earth system emulation

Speaker: Duncan Watson-Parris (University of California, San Diego)

14:00-14:30 CDT
Coffee Break
14:30-15:30 CDT
Deep Uncertainty Quantification: With an Application to Integrated Assessment Models

Speaker: Felix Kubler (University of Zurich), Simon Scheidegger (University of Lausanne)

15:30-16:00 CDT
Coffee Break
16:00-17:00 CDT
Carbon prices and forest preservation over space and time in the Brazilian Amazon

Speaker: Jose Scheinkman (Columbia University)

17:00-18:00 CDT
Reception + Poster Session (IMSI’s Lower Lounge)
Saturday, April 1, 2023
9:00-10:00 CDT
Anticipating Climate Change Risk Across the United States

Speaker: Adrien Bilal (Harvard University, Cambridge)

10:00-10:30 CDT
Coffee Break
10:30-11:30 CDT
A Multi-Capital Model of Climate Change, Innovation, and Uncertainty

Speaker: Michael Barnett (Arizona State University), Ruimeng Hu (UC Santa Barbara), Joseph Huang (University of Pennsylvania)

11:30-13:00 CDT
Lunch
13:00-14:00 CDT
Towards Digital Twins for NVIDIA’s Earth-2 Initiative: Pushing the Limits of Deep Learning for Earth System Emulation

Speaker: Karthik Kashinath (NVIDIA)


Videos

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Mitigating Disaster Risks in the Age of Climate Change

Harrison Hong
March 31, 2023

Tutorial on Conformal Prediction and Distribution-Free Uncertainty Quantification

Anastasios N. Angelopoulos
March 31, 2023

Exploring all possible climates with Earth system emulation

Duncan Watson-Parris
March 31, 2023

Deep Uncertainty Quantification: With an Application to Integrated Assessment Models

Felix Kubler
March 31, 2023

Carbon prices and forest preservation over space and time in the Brazilian Amazon

Jose Scheinkman
March 31, 2023

Anticipating Climate Change Risk Across the United States

Adrien Bilal
April 1, 2023

A Multi-Capital Model of Climate Change, Innovation, and Uncertainty

Michael Barnett
April 1, 2023

Towards Digital Twins for NVIDIA’s Earth-2 Initiative: Pushing the Limits of Deep Learning for Earth System Emulation

Karthik Kashinath
April 1, 2023