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2026-70: GitHub

The Kenneth C. Griffin Applied Economic Incubator...

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2025-26: Incubator: AI in the Workplace 2025-2026

_The recent explosion in the capabilities of arti...

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2024-25: Scaling Up Industrial Organization

Interest in market power has recently burgeoned a...

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2023-25: Incubator: Causal Inference 2024-2025

This year’s Griffin Applied Economics Incubator e...

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2022-22: Incubator: Policy Making in an Uncertain World 2022-2023

Uncertainty is pervasive in many of the most impo...

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2022-23: Incubator: The Data Revolution: New Econometric Tools for the Big Data Era

The 2022-2023 Griffin Applied Economics Incubator...

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2021-22: Incubator: The Global Energy Challenge 2021- 2022

The second Griffin Applied Economics Incubator fo...

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2019-21: Incubator: Science of Scaling

The Science of Scaling in Early Childhood For th...

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How will you change the world?

The Kenneth C. Griffin Applied Economics Incubator is a hub for generating new initiatives and ideas that drive broad-based thought and policy change.

Incubator Executive Committee

temmate

John August List

temmate

Amanda Woodward

temmate

Azeem M. Shaikh

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2026 GitHub

The Kenneth C. Griffin Applied Economic Incubator has launched a new GitHub.

To improve accessibility of empirical IO methods, the team is developing a curated GitHub
repository. This resource will host tools like discrete choice estimators, production function
frameworks, and dynamic models.

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Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

Economics

Machine Learning

Econometrics

Statistics

Science of Scaling

Global Energy

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Diane Blair

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(773) 795-1762

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dianeblair@uchicago.edu

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