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New paper accepted at CHI 2026: How Digital Technology Facilitates Union Busting →
Freddy Reiber (BU) examines how employers use digital surveillance, spacing, and other technology-mediated tactics to suppress union organizing.
a distributed group of researchers, technologists, and activists building community-driven alternatives to extractive AI systems and supporting labor organizing in the algorithmic age.
Recent updates—talks, papers, reports, and media. Freddy Reiber (BU) examines how employers use digital surveillance, spacing, and other technology-mediated tactics to suppress union organizing. Freddy Reiber (BU) examines how the affordances of digital platforms shape modern labor organizing communities. WAO project led by Dana with Samantha Dalal and Varun Rao — designed FairFare with CIDU organizers in Colorado to crowdsource difficult-to-access rideshare worker data for policy advocacy. Varun Rao led the design of a tool with a rideshare labor union in WA to help them automate the process of contesting arbitrary AI and algorithmic deactivations. Shomik Jain (MIT IDSS) crowdsourced two weeks of extended AI interactions to understand how LLMs mirror our behavior and perspectives in real-world use.
updates
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New paper accepted at CHI 2026: How Digital Technology Facilitates Union Busting →
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New paper accepted at CSCW 2026: Understanding Digitally Facilitated Labor Organizing →
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FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Organizers — Accepted at CHI 2026 ↗
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FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivations — Accepted at CSCW 2026 ↗
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Extended AI Interactions Shape Sycophancy and Perspective Mimesis — Accepted at CHI 2026 ↗
Current projects and ongoing work. Lightweight, easy-to-train adapters that allow communities to customize LLMs can help decentralize AI use and help communities experiment with how to best use AI systems. Through ethnographic and qualitative work, we are working to understand how and when marginalized groups like the LGBTQ+ community successfully develop community-driven platforms that are more aligned with their values and needs. We are studying how online platforms' algorithms and policies shape the material conditions and labor of content creators and cultural workers. We are building new crowdsourcing tools that will allow users of platforms, ranging from Instagram to TikTok to Doordash, donate data to researchers and advocates with minimal effort. Police departments across the US are increasingly using AI tools for surveillance and automation of police work, such as filing police reports from body cam footage. We are working to evaluate the risks and failures of using AI in high-risk scenarios like law enforcement. We are using a corpus of hundreds of articles and press releases about AI use in law enforcement automation and surveillance as a case example to theorize and empirically examine how AI 'hype' spreads Investigating how users internally negotiate the use of AI in their daily lives to design more contextually appropriate systems. Current approaches to understanding AI behavior are limited to short or few-shot interactions. We are building platforms and doing field work to understand how model behaviors like sycophancy and mimesis change in realistic, long-term interactions. The Workers Algorithm Observatory (WAO) is a inter-institutional collaboration focused on developing tools and doing research to support labor organizing and advocacy in the algorithmic age.
projects
Community LLM Adapters
Alternative Community-Driven Platforms
Algorithms as Labor Conditions: The Work of Content Creators
Tools for Crowdsourcing Platform Data


Tracking and Evaluating AI Use in Police Surveillance
Mapping the AI Hype Cycle
How Users Internally Negotiate AI Use
Understanding Extended AI Interactions
The Workers Algorithm Observatory ↗
Recent publications from the Working Futures Network. D Calacci, Varun Rao, Samantha Dalal, Catherine Di, Kok Wei Pua, Andrew Schwartz, Danny Spitzberg, Andrés Monroy-Hernandez Presents a tool designed with Colorado rideshare organizers to crowdsource hard-to-access driver pay and trip data, supporting policy advocacy and worker organizing. Varun Rao, Samantha Dalal, Andrew Schwartz, Amna Liaqat, D Calacci, Andrés Monroy-Hernandez Introduces a tool built with a rideshare union to help drivers estimate lost wages and build cases against arbitrary AI-driven deactivations. Shomik Jain, Charlotte Park, Matt Viana, Ashia Wilson, D Calacci Crowdsources two weeks of real-world AI conversations to study how extended interactions lead chatbots to mirror users' perspectives and become increasingly sycophantic. Frederick Reiber, Alishah Chator, D Calacci, Allison McDonald Investigates how digital platforms shape the formation, challenges, and consequences of labor organizing communities in the contemporary workplace. Frederick Reiber, Nathan Kim, Allison McDonald, D Calacci Documents how employers use digital surveillance, scheduling manipulation, and platform-mediated tactics to suppress union organizing campaigns.
publications
CHI
FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Organizers ↗
CSCW
FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivations ↗
CHI
Interaction Context Often Increases Sycophancy in LLMs ↗
CSCW
Organizing in the Digital Age: Understanding Community, Challenges, and Consequences in Digitally Facilitated Labor Organizing
CHI
Surveillance, Spacing, Screaming and Scabbing: How Digital Technology Facilitates Union Busting
we combine empirical research, community engagement, and policy analysis to understand emerging technologies while building tools and frameworks to help workers and communities create futures that work for them.
people

she / her
Project Manager
Penn State ICDS

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Research Engineer
Penn State ICDS

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PhD Candidate
Penn State IST

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PhD Candidate
MIT IDSS

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PhD Student
Penn State IST
she / her
Undergraduate Researcher
Penn State IST
she / her
Undergraduate Researcher
Penn State IST
she / her
Affiliate
Asst. Professor, Brown University
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Affiliate
Color of Change
she / her
Affiliate
Data & Society
she / her
Affiliate
Postdoctoral Fellow, Princeton University CITP
he / him
Affiliate
PhD Candidate, Princeton University CITP
he / him
Affiliate
University of Victoria
she / her
Affiliate
U.T. Austin