a distributed group of researchers, technologists, and activists building community-driven alternatives to extractive AI systems and supporting labor organizing in the algorithmic age.

research

area

AI & Communities

Building AI that centers community needs, studying how AI actually behaves in real-world use, and designing community-driven alternatives to extractive platforms

area

Tech and Labor

Tools and research for gig workers, labor organizers, and those affected by algorithmic management.

area

Platforms, Data, & Governance

Studying the interserction of platforms, data, and governance. Asking how we can use data to hold platforms accountable and build more just systems.

area

Surveillance & Accountability

Critical analysis of surveillance technologies and AI hype, evaluating the risks and failures of AI in high-stakes settings like law enforcement





updates





Recent updates—talks, papers, reports, and media.










projects





Current projects and ongoing work.




Community LLM Adapters


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.




Alternative Community-Driven Platforms


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.




Algorithms as Labor Conditions: The Work of Content Creators


We are studying how online platforms' algorithms and policies shape the material conditions and labor of content creators and cultural workers.




Tools for Crowdsourcing Platform Data


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.




Tracking and Evaluating AI Use in Police Surveillance


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.




Mapping the AI Hype Cycle


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




How Users Internally Negotiate AI Use


Investigating how users internally negotiate the use of AI in their daily lives to design more contextually appropriate systems.




Understanding Extended AI Interactions


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 ↗


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.









publications





Recent publications from the Working Futures Network.





CHI


Interaction Context Often Increases Sycophancy in LLMs ↗


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.



CSCW


Organizing in the Digital Age: Understanding Community, Challenges, and Consequences in Digitally Facilitated Labor Organizing


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.



CHI


Surveillance, Spacing, Screaming and Scabbing: How Digital Technology Facilitates Union Busting


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.







people




area

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.








leadership & staff



person

Dana Calacci

she / her

Director

Asst. Professor, Penn State IST

🔗 Website
person

Caroline McLoughlin

she / her

Project Manager

Penn State ICDS

person

Clayton Colson

he / him

Research Engineer

Penn State ICDS




PhDs



person

Tianqi Kou

he / him

PhD Candidate

Penn State IST

🔗 Website
person

Ankolika De

she / her

PhD Candidate

Penn State IST

person

Shomik Jain

he / him

PhD Candidate

MIT IDSS

person

Freddy Reiber

he / him

PhD Student

Boston University

🔗 Website
person

Matt Viana

he / him

PhD Student

Penn State IST

person

Brea Austin

she / her

PhD Student

Penn State IST

🔗 Website




undergraduate & masters students



person
AG

Ananya Gollakota

she / her

Undergraduate Researcher

Penn State IST

person
MN

Maya Nagiub

she / her

Undergraduate Researcher

Penn State IST




affiliates & collaborators



person
HS

Harini Suresh

she / her

Affiliate

Asst. Professor, Brown University

person
NE

Nasser Eledroos

he / him

Affiliate

Color of Change

person
BR

Becca Ricks

she / her

Affiliate

Data & Society

person
SD

Samantha Dalal

she / her

Affiliate

Postdoctoral Fellow, Princeton University CITP

person
VR

Varun Rao

he / him

Affiliate

PhD Candidate, Princeton University CITP

person
AV

Amal Vincent

he / him

Affiliate

University of Victoria

person
AZ

Angie Zhang

she / her

Affiliate

U.T. Austin