FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Organizers ↗
D Calacci, Varun Rao, Samantha Dalal, Catherine Di, Kok Wei Pua, Andrew Schwartz, Danny Spitzberg, Andrés Monroy-Hernandez
ACM Conference on Human Factors in Computing Systems
Tools and research for gig workers, labor organizers, and those affected by algorithmic management.
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.


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.

D Calacci, Varun Rao, Samantha Dalal, Catherine Di, Kok Wei Pua, Andrew Schwartz, Danny Spitzberg, Andrés Monroy-Hernandez
ACM Conference on Human Factors in Computing Systems
Varun Rao, Samantha Dalal, Andrew Schwartz, Amna Liaqat, D Calacci, Andrés Monroy-Hernandez
ACM Conference on Computer-Supported Cooperative Work
Frederick Reiber, Alishah Chator, D Calacci, Allison McDonald
ACM Conference on Computer-Supported Cooperative Work
Frederick Reiber, Nathan Kim, Allison McDonald, D Calacci
ACM Conference on Human Factors in Computing Systems
Hawi Humnessa Tolera, D Calacci, Joy Ming
Proceedings of the ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies
Varun Rao, Eesha Agarwal, Samantha Dalal, D Calacci, Andrés Monroy-Hernandez
Proceedings of the North American Chapter of the Association for Computational Linguistics
Varun Rao, Samantha Dalal, Eesha Agarwal, D Calacci, Andrés Monroy-Hernandez
Proceedings of the ACM on Human-Computer Interaction
D Calacci
IEEE Spectrum
D Calacci
ACM Interactions
D Calacci, Jake Stein
European Labour Law Journal
Dana organized a salon on algorithmic wage discrimination as part of the Data & Society Public Tech Leadership Collaborative Salon Series.

Dana spoke at the Conference on Sustainable Work in Stockholm about building data infrastructures that translate workplace rights into tangible access for workers.

Dana gave a guest lecture on how algorithmic management systems undermine occupational health research and worker engagement approaches.

Dana presented on automation, management, and activism in the AI workplace at Google DeepMind's research talk series.

Dana wrote for IEEE Spectrum about how Shipt delivery drivers organized a community-led data audit when their pay suddenly dropped due to an algorithmic change.

Received a $250,000 grant from the Robert Wood Johnson Foundation for 'Empowering Delivery Gig Workers with Data and Insights to Improve Health.'

she / her
Affiliate
Postdoctoral Fellow, Princeton University CITP
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Affiliate
PhD Candidate, Princeton University CITP

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Research Engineer
Penn State ICDS
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Undergraduate Researcher
Penn State IST