Research

Are We Up to the Challenge? An analysis of the FCC Broadband Data Collection Fixed Internet Availability Challenges

In 2021, the Broadband Equity, Access, and Deployment (BEAD) program allocated $42.45 billion to enhance high-speed internet access across the United States. As part of this funding initiative, The Federal Communications Commission (FCC) developed a national coverage map to guide the allocation of BEAD funds. This map was the key determinant to direct BEAD investments to areas in need of broadband infrastructure improvements.

Emerging Mid-Band Radar Spectrum Sharing Feasibity Assessment Report

This report fulfills an Infrastructure Investment and Jobs Act requirement that the Department of Defense conduct research and development, engineering studies, economic analyses, activities with respect to systems, or other planning activities to improve efficiency and effectiveness of the spectrum use of the Department of Defense in order to make available electromagnetic spectrum in the 3100-3450 MHz band for reallocation for shared Federal and non-Federal commercial licensed use and for auction.

State Digital Equity Implementation Manual

This manual supports States, Territories, and the District of Columbia as they implement their digital equity plans and create sustainable, robust statewide digital equity ecosystems.

Model analysis on the economic impact of paid peering: Implications of the Netflix vs. SK broadband dispute

In April 2020, Netflix, Inc. and its Korean subsidiary Netflix Services Korea Ltd. filed a lawsuit against SK Broadband, Inc., seeking confirmation that there were no obligations to bear network costs. On June 25, 2021, the Seoul Central District Court rejected Netflix’s argument and acknowledged the existence of an obligation to negotiate fees. Netflix subsequently appealed the decision on November 5, 2021.

The role of Video on Demand in stimulating broadband adoption

In this paper we study the role of Video on Demand services (VOD) as drivers of broadband adoption. We developed a worldwide database of VOD services launch by country since 2012 (including Netflix, Amazon Prime, Apple TV+, Disney+, Paramount+, and HBO Max) and explored their contribution as contributors to broadband adoption during the period. Our results confirm that VOD services have been a key contributor to the increase of broadband connectivity, also helping to narrow down the digital divide especially in developing nations.

Consumer-driven design and evaluation of broadband labels

This study examines the content and layout of the proposed broadband consumer disclosure labels mandated by the U.S. Federal Communications Commission (FCC). Our large-scale user study identifies key consumer preferences and comprehension factors through a two-phase survey of 2500 broadband internet consumers. Findings reveal strong support for broadband labels, but dissatisfaction with the FCC's proposed labels from 2016. Participants generally struggled to use the label for cost computations and plan comparisons.

Broadband Availability Is Overstated In Every State

In 2020, we manually checked availability of more than 11,000 addresses using Federal Communications Commission (FCC) Form 477 data as the “source of truth.” Based on the results, we estimated that as many as 42 million Americans did not have the ability to purchase broadband internet at the time. Since then, quite a bit has changed.

NTIA Artificial Intelligence Accountability Policy Report

Alongside their transformative potential for good, artificial intelligence (AI) systems also pose risks of harm. These risks include inaccurate or false outputs; unlawful discriminatory algorithmic decision making; destruction of jobs and the dignity of work; and compromised privacy, safety, and security.

Many Americans think generative AI programs should credit the sources they rely on

According to a new Pew Research Center survey, overall, 54 percent of Americans say artificial intelligence programs that generate text and images, like ChatGPT and DALL-E, need to credit the sources they rely on to produce their responses. A much smaller share (14%) says the programs don’t need to credit sources. Generative AI programs work by reviewing large amounts of information, such as the works of an artist or news organization. That allows them to generate responses when users ask questions.