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Open Analytics Control Tower (OACT): A "Right to Replicate" Prototype for Infrastructure Risk

Abstract

OACT is an open-source, public-data decision-support prototype designed to help stakeholders detect, investigate, and quantify infrastructure disruption risk during extreme weather events (e.g., flooding and atmospheric river scenarios). This talk presents a reproducible “Right to Replicate” architecture: public data ingestion, auditable transformations, transparent scoring, and an evidence-first workflow designed for responsible reuse by universities and public-sector partners.

We will walk through the end-to-end pipeline (signals → features → risk scoring → recommended actions) and highlight design choices that improve reproducibility and governance, such as dataset lineage, assumptions logging, and decision traceability. By focusing on “auditability by default,” OACT addresses the critical gap between opaque proprietary risk models and the need for transparent, accessible tools in public-sector resilience planning. Attendees will leave with a concrete pattern for building analytics prototypes that bridge research, open infrastructure, and real-world decision needs.


Yidan (Lena) Hu | Fordham University

Bio coming soon.

Laisi (Maggie) Ma | George Washington University

Bio coming soon.

Hao He | University of Michigan

Bio coming soon.

Yuan-Jiun (David) Sung | Independent Researcher (Principal Investigator, remote)

Bio coming soon.