Juan Fung

Juan F. Fung received a PhD in economics, as well as an MS in statistics, from
University of Illinois, Urbana-Champaign. Juan is currently working on selected
topics in community resilience, including estimating costs of retrofitting
government buildings for seismic events and quantifying a community's indirect
benefits from disaster resilience.

News

Resilient Cedar Rapids: Rebuilding Better Pays Off

August 12, 2020

Many cities in the United States have experienced or will experience devastating losses caused by a natural disaster. In the aftermath of a disaster, the

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Publications

Community Resilience Program: Overview of Select Projects and Tools

October 2, 2024

Author(s)

Jennifer Helgeson, Christopher Clavin, Maria Dillard, Juan Fung, Christina Gore, Kenneth Harrison, Terri McAllister, Kelly Anderson, David Butry, Tasnim Ibn Faiz, Michael Gerst, Donghwan Gu, William Hughes, Dylan Sanderson

Systematic Review of Embodied Carbon Assessment and Reduction in Building Life Cycles

September 18, 2024

Author(s)

Yating Zhang, Siamak Sattar, Dustin Cook, Katherine Johnson, Juan Fung

The building and construction sector is the largest carbon emitter, accounting for more than one-third of annual global emissions. The emissions can be divided

Human-in-the-loop Technical Document Annotation: Developing and Validating a System to Provide Machine-Assistance for Domain-Specific Text Analysis

May 14, 2024

Author(s)

Juan Fung, Zongxia Li, Daniel Stephens, Andrew Mao, Pranav Goel, Emily Walpole, Alden A. Dima, Jordan Boyd-Graber

In this report, we address the following question: to what extent can machine learning assist a human with traditional text analysis, such as content analysis

Benefit–Cost Analysis for Earthquake-Resilient Building Design and Retrofit: State of the Art and Future Research Needs

May 3, 2024

Author(s)

Yating Zhang, Juan Fung, Dustin Cook, Katherine Johnson, Siamak Sattar

This paper reviews the state of the art in using benefit–cost analysis (BCA) to inform earthquake risk reduction decisions by building owners and policymakers

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis

March 23, 2024

Author(s)

Zongxia Li, Andrew Mao, Jordan Boyd-Graber, Daniel Stephens, Emily Walpole, Alden A. Dima, Juan Fung

Topic models are a popular tool for understanding text collections, but their evaluation has been a point of contention. Automated evaluation metrics such as

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Juan Fung (Fed)

Economist

News

Resilient Cedar Rapids: Rebuilding Better Pays Off

Publications

Community Resilience Program: Overview of Select Projects and Tools

Systematic Review of Embodied Carbon Assessment and Reduction in Building Life Cycles

Human-in-the-loop Technical Document Annotation: Developing and Validating a System to Provide Machine-Assistance for Domain-Specific Text Analysis

Benefit–Cost Analysis for Earthquake-Resilient Building Design and Retrofit: State of the Art and Future Research Needs

Improving the TENOR of Labeling: Re-evaluating Topic Models for Content Analysis