Congratulations to Dr. Jiamo Liu on becoming the 22nd Ph.D. graduate of the MOMENT Lab! Dr. Liu's dissertation, titled "Towards Understanding Quality of Service and Quality of Experience in Terrestrial and Geostationary Satellite Communication" contributed to understanding the challenges in supporting video streaming in geosynchronous satellite networks. Best of luck Dr. Liu as you start your career at Viasat!

Our ACM Sigcomm'24 paper, The Efficacy of the Connect America Fund in Addressing US Internet Access Inequities, received the Applied Networking Prize (ANRP) from IETF/IRTF. Kudos to Haarika Manda, Varshika Srinivasavaradhan and team for this recognition for their awesome work!
We are excited to announce the acceptance of our ACM Sigcomm'24 paper titled "The Efficacy of the Connect America Fund in Addressing US Internet Access Inequities". This paper evaluates the efficacy of the Connect America Fund (CAF), a key policy intervention aimed at addressing disparities in US internet access. CAF subsidizes the creation of new regulated broadband monopolies in underserved areas, thereby aiming to provide comparable internet access, along dimensions of price and speed, to that which is available in urban...
Read moreHuge congratulations to MOMENT Lab alum Udit Paul for receiving the 2024 ACM SIGCOMM Doctoral Dissertation Award for his dissertation titled "Towards Bridging the Divide: Enhancing Understanding of Digital Equity". His thesis and supporting publications made fundamental contributions to addressing Internet access inequality, providing policymakers with desperately needed information about broadband access, affordability and performance across the U.S. This award acknowledges the originality, rigor, and impact of a dissertation in the field of...
Read moreI am happy to announce that our NSF Hispanic-Serving Institution proposal titled "Integrated Networking, Scholarship, and Peer Mentoring of Freshmen Engineers for Increased Academic Success and Graduation Rates" has been funded by NSF! The grant will create the new INSPIRE program, a program for first-year UCSB College of Engineering students designed to better welcome new students to the college, increase community and sense of belonging, and academic success through structured peer...
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The UCSB Convergence magazine recently had an article about my latest research and funding from NSF and the Rockefeller Foundation on mapping fixed and mobile broadband.
I am leading a panel at the Marconi Society's Decade of Digital Inclusion event on November 2, 2022 titled "Digital Equity: How will we know when we've arrived?" It promises to be a vibrant discussion on a range of measures of digital equity. Join us!
HUGE Congratulations to MOMENT Lab members Udit Paul and Jiamo Liu on receiving the Distinguished Paper Award (Best Long Paper) at ACM IMC'22! Wow!!! This work is so important and timely given the recent focus on crowdsourced speed test measurements for policy-related decision-making. Our paper argues that using these measurements without understanding their context is problematic. Though the community had internalized that speed-test results can be misleading, no one knew the extent of skews in such crowdsourced datasets. One significant roadblock in contextualizing these measurements...
Read moreOur group recently had two Internet Measurement Research proposals funded by NSF. One focuses on improving crowdsourced measurements of fixed broadband in order to better characterize Internet access (and is joint with other UCSB researchers). The other focuses on statistical techniques for better modeling and mapping of mobile broadband coverage and quality (and is joint with researchers at Georgia Tech). We are very excited to embark on these important projects. Thank you so much to NSF for funding this work!
Congratulations to MOMENT Lab members Udit Paul and Jiamo Liu on the acceptance of their paper "The Importance of Contextualization of Crowdsourced Active Speed Test Measurements" to IMC'22! And Thank You to NSF for sponsoring this research and to Ookla for Good and M-Lab for supporting our work with their datasets!