Enabling Data-Driven Policymaking Using Broadband-Plan Querying Tool (BQT+)
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866914143591727104 |
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| author | Koduru, Laasya Beltiukov, Sylee Daneshamooz, Jaber Vuong, Eugene Gupta, Arpit Belding, Elizabeth Narechania, Tejas N. |
| author_facet | Koduru, Laasya Beltiukov, Sylee Daneshamooz, Jaber Vuong, Eugene Gupta, Arpit Belding, Elizabeth Narechania, Tejas N. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_05838 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Enabling Data-Driven Policymaking Using Broadband-Plan Querying Tool (BQT+) Koduru, Laasya Beltiukov, Sylee Daneshamooz, Jaber Vuong, Eugene Gupta, Arpit Belding, Elizabeth Narechania, Tejas N. Networking and Internet Architecture 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. |
| title | Enabling Data-Driven Policymaking Using Broadband-Plan Querying Tool (BQT+) |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2511.05838 |