Sarah Oh

Twelve years ago, the federal government awarded hundreds of grants for broadband infrastructure with stimulus funds from the Recovery Act of 2009. In this study, Oh reviews the subsidy allocations from the Broadband Technology Opportunities Program and compare actual outcomes with those that a reverse auction or random lottery may have yielded. The analysis shows that a reverse auction might have connected nearly twice as many buildings for the same total subsidy dollars relative to the results from the grant review process.

New, more accurate and detailed broadband maps are on their way. The telecom policy crowd fervently hopes the data upgrade will help us better address digital divides and other issues. But maps and data alone won’t solve anything. Skill, expertise and time will all be required to study and use the new maps, and the resources required grow as the datasets become larger and more complex.

The seemingly interminable wait for the Court’s decision in Mozilla v. FCC is finally at an end. In its 186-page decision, the Court described how it considered economic concepts, arguments, and expert reports. It upheld the Federal Communications Commission’s 2018 Order but rejected its claimed preemption authority. As we have learned, the net neutrality debates will never die, but they may now change venue.

Does municipal broadband stimulate broadband adoption or employment growth? I conduct an empirical study of American towns that have built municipal networks to answer this question. Using data from the FCC’s Form 477 and the US Census Bureau’s American Community Survey, I track broadband deployment, adoption, and employment statistics for these towns from 2013 to 2017. A town’s decision to install a municipal network in the first place is not random, however.

[Analysis] Criticisms of the 2017 Restoring Internet Freedom process apply also to the 2014 Open Internet process. A key difference between the comment process in 2017 compared to 2014 is that form letters became more sophisticated and more difficult to identify. In the future, bad actors are likely to continue improving their ability to make form letters appear unique, hide their origins, or simply make the comment process unmanageable.

By the time the Federal Communications Commission’s ferociously controversial net neutrality draft Order was released on November 22, 2017, more than 22 million comments were submitted to the FCC through its new application programming interface (API). This avalanche of public input is impossible to navigate and interpret using human labor alone. Machine learning tools are uniquely suited to navigating and interpreting such a large amount of information.