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arXiv · 2511.05838

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

Laasya Koduru·Sylee Beltiukov·Jaber Daneshamooz·Eugene Vuong·Arpit Gupta·Elizabeth Belding·Tejas N. Narechania
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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.

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Laasya Koduru, Sylee Beltiukov, Jaber Daneshamooz, Eugene Vuong, Arpit Gupta, Elizabeth Belding, Tejas N. Narechania. 2025-11-08. Enabling Data-Driven Policymaking Using Broadband-Plan Querying Tool (BQT+). https://arxiv.org/abs/2511.05838

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