Enabling Data-Driven Policymaking Using Broadband-Plan Querying Tool (BQT+)

TL;DR

BQT+ is an AI-powered platform that collects accurate broadband data by querying ISP websites, aiding policymakers in evaluating and improving broadband deployment and affordability.

Contribution

The paper introduces BQT+, a novel AI-agent platform that automates broadband data collection directly from ISP web interfaces, enhancing data accuracy for policy decisions.

Findings

BQT+ effectively extracts detailed broadband data from ISP websites.

Application of BQT+ in policy studies revealed gaps in broadband coverage.

BQT+ supports large-scale evaluation of broadband initiatives like the BEAD program.

Abstract

Poor broadband access undermines civic and economic life, a challenge exacerbated by the fact that millions of Americans still lack reliable high-speed connectivity. Federal broadband funding initiatives aim to address these gaps, but their success depends on accurate availability and affordability data. Existing data, often based on self-reported ISP information, can overstate coverage and speeds, risking misallocation of funds and leaving unserved communities behind. We present BQT+, an AI-agent data collection platform that queries ISP web interfaces by inputting residential street addresses and extracting data on service availability, quality, and pricing. BQT+ has been used in policy evaluation studies, including an independent assessment of broadband availability, speed tiers, and affordability in areas targeted by the $42.45 billion BEAD program.