About Liberty Bridge
Liberty Bridge started as a question: what if rural education leaders could understand state legislation as easily as they read the morning news? That question became a project through the Google & GSV Education Innovation Fellowship.
Google GSV Education Innovation Fellowship
The Google & GSV Ed Leader Fellowship brings together senior education leaders from across the country to tackle real problems at the intersection of instruction and technology. Each fellow identifies a "Transformational Opportunity" in their own district and spends a year developing it with support from Google for Education and GSV.
Dr. Gregory Nyen was selected for Cohort 3 (2025-2026) of the fellowship. His transformational opportunity: building an AI-powered legislative intelligence platform for rural education leaders. That project became Liberty Bridge.
The platform is built entirely on Google Cloud and uses Gemini, Document AI, BigQuery, Vertex AI, Cloud Functions, and Eventarc to ingest, classify, and analyze Michigan state bills. The goal is simple: help district leaders stay informed, act quickly, and spend their time on what really matters.
Who built this
Superintendent of Marquette-Alger RESA and member of the 2025-2026 Google GSV Education Innovation Fellowship (Cohort 3). Greg's transformational opportunity through the fellowship focuses on building AI-powered tools that help rural education leaders understand and respond to state legislation.
Deputy Superintendent for Educational Services at Marquette-Alger RESA. Travis brings deep expertise in curriculum, MTSS frameworks, and professional learning to help shape how Liberty Bridge serves Michigan's K-12 education community.
Responsible for the Liberty Bridge web application, from the search interface to bill analysis views. Built with Next.js on Google Cloud infrastructure.
Architect of Liberty Bridge's data pipeline and AI analysis engine. Manages the 9-service GCP ingestion pipeline that processes Michigan legislative data through Document AI, Gemini, and BigQuery.