LAUREN M. CHAMBERS
● ◉ ● ● ◉ ● ● ◉ ● ● ◉ ● ● ◉ ● ● ◉ ● ● ◉ ●
    11/2024

So honored to present a workshop for the third Data for Black Lives Conference in Miami: “What Can Data Do for Advocacy? Learning from Public Interest Technologists” (recording here). The conference was nothing short of revolutionary, and I’m so grateful to have been able to attend and share some of my work!

    11/2024

Feeling inspired and hopeful after learning about so much change-making work at the 2024 Public Interest Technology University Network (PIT-UN) Summit in San José, CA.

    09/2024

New paper published with collaborators in Big Data & Society: “Reparations of the Horse?: Algorithmic Reparations and Overspecialized Remedies”. This work originated from the 2022 Algorithmic Reparation Workshop at the University of Michigan. We define and taxonomize the relationship between algorithmic reparation and algorithmic harm, offering a framework grounded in international human rights law to advise on when algorithmic reparation is an appropriate remedy.

    07/2024

I’m designing and facilitating the two-week I School summer Python Bootcamp for incoming students.

    06/2024

I had an amazing time getting to know other fellows at my first (and the last) Ford Fellowship Conference in Washington, DC.

    06/2024

I’m excited to be attending my very first FAccT conference, in Rio de Janeiro!

    06/2024

I recieved an honorable mention for the ACM FAccT Diversity, Equity, & Inclusion Scholarship.

    06/2024

New paper published with Amina Abdu, Prof. Abigail Jacobs, and Prof. Deirdre Mulligan in ACM FAccT: “Algorithmic Transparency and Participation through the Handoff Lens: Lessons Learned from the U.S. Census Bureau’s Adoption of Differential Privacy”. We apply Mulligan & Nissenbaum’s handoff framework in order to analyze the sociotechnical fallout of the U.S. Census adopting differential privacy for its disclosure avoidance system in 2020.

    04/2024

Such a pleasure to participate in the Datafication and Community Activism Workshop at UC Irvine, hosted by Prof. Roderic Crooks and Dr. Uriel Serrano.

    03/2024

I received a graduate research award from the Berkeley Institute for Research on Labor & Employment.

    01/2024

Working with Prof. Coye Cheshire as a TA for INFO 203, “Social Issues of Information.”

    11/2023

I greatly enjoyed co-organizing a virtual panel at the Society for Social Studies of Science (4S) Conference alongside Seyi Olojo, Kinjal Dave, and Prof. Roderic Crooks: “IYKYK: Black Studies in Dialogue with STS”

    10/2023

New blog post on my work with the Center for Democracy & Technology: “Exploring Inclusive Language Adoption in Internet Standards”.

    08/2023

I’m thrilled to be supported this academic year by the Berkeley Empirical Legal Studies Fellowship through the Center for the Study of Law & Society.

    06/2023

My co-authors Amina Abdu, Prof. Abigail Jacobs, and I had a blast workshopping our paper, “Transparency, Technocracy, and Trust in Participatory Algorithmic Governance: Lessons Learned from the US Census’ Implementation of Differential Privacy,” at the Privacy Law Scholars Conference in Boulder, CO.

    06/2023

Exicted to be joining the Center for Democracy and Technology in Washington, DC as a summer intern.

    03/2023

I’m thrilled to share that I’ve received the NSF Graduate Research Fellowship!

    03/2023

So excited to share that I’ve received the Ford Predoctoral Fellowship!

    03/2023

Presented our work-in-progress paper, “The Limits of (Algorithmic) Transparency: Lessons Learned from the US Census’ Implementation of Differential Privacy,” at the Data (Re)Makes the World Workshop at the Yale Law School.

    12/2022

I’m excited to be attending my very first 4S conference, in Puebla, Mexico!

    10/2022

Attended the Algorithmic Reparations Workshop, hosted by the University of Michigan.

    08/2022

Participated in the virtual Prefiguring and Resisting Tech Workshop, hosted by the Just Transitions Initiative at UCSD.

    05/2022

I had a great time giving the closing keynote at the Code4Lib conference.

    08/2021

Very excited that I’ve received the Berkeley Fellowship to support the first two years of my PhD studies!

    08/2021

Thrilled to begin my PhD in information science at the Berkeley School of Information, advised by Prof. Deirdre Mulligan.