I-GUIDE VCO: Scaling Geospatial Insights: A Reproducible API-Driven Framework for Dam-Failure Risk Assessment

Scaling Geospatial Insights: A Reproducible API-Driven Framework for Dam-Failure Risk Assessment

May 27, 2026 11:00 am (Central Time)

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Abstract

Expert-led geospatial analysis is the foundation of dam-failure consequence assessment, yet transitioning these detailed research methodologies into scalable, publicly accessible, operational tools remains a significant challenge. This session showcases an innovative framework that translates established desktop GIS workflows into a reproducible, PostGIS-backed REST API and dashboard reference implementation.
We will demonstrate how the platform systematizes the integration of heterogeneous hazard, infrastructure, environmental, and social datasets—including CDC Social Vulnerability Indices and high-resolution infrastructure networks—into a transparent, automated pipeline. Attendees will explore the “Data-to-API” architecture currently supporting vulnerability metrics for 227 high-risk dams in Utah. We will highlight how moving toward stateless query contracts empowers researchers to scale their analysis across broad geographic regions while ensuring that complex spatial intersections remain consistent and reproducible across any client tool.

Speakers

Jungha Woo

Jungha Woo

Purdue University

Jungha Woo is a Software Engineer in the Research Computing at the Purdue University. His Ph.D. work included analyzing investors’ behavioral biases in the U.S. stock markets and implementing profitable strategies utilizing irrational behaviors. His experience and interests lie in the statistical analysis of scientific data, and software development. Jungha develops scientific software to help high-performance computational communities run models and predict execution time of jobs.

Erick Li

Erick Li

University of Illinois Urbana-Champaign

Michael Englert

Utah State University

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