is a Ph.D. student at CMU studying ways of supporting gig workers through policy and technology advancements. She investigates issues and solutions (e.g. data-sharing alternatives) of platform-based work from multi-stakeholder perspectives.

is a Ph.D. student at UT Austin, where she uses co-design to understand impacts of technology and AI on individuals and communities, and develops frameworks and prototyping tools to support participatory AI design with diverse stakeholders.

is a Ph.D. student in CMU researching how to operationalize equity and fairness notions in data-driven technologies, particularly in clinical and public-sector technologies by surfacing perceptions of stakeholders like workers and entrepreneurs.

is a Ph.D. student at Princeton and is affiliated with the Center for Information Technology Policy (CITP) and the Workers Algorithm Observatory (WAO). He studies the societal impacts of AI systems in the context of labor and seeks to understand and build tools to mitigate concerns and needs of rideshare workers impacted by non-transparent AI and algorithmic decisions.

is a Ph.D student at CU Boulder investigating how information science researchers can precipitate change in the gig economy by participating in grassroots organizing and creation of labor policy at the state level.

is a researcher at Data & Society, where she investigated workers’ experiences with data-centric worker surveillance and intersections with broader inequalities across several U.S. contexts, including domestic work on online labor platforms, care work within public benefits programs, retail, and other industries.

is an Assistant Professor of Media Studies (Critical Platform Studies) at the University of Toronto Scarborough. He is the PI for Worker-Owned Intersectional Platforms (WOIP – an action research with delivery and tech workers in Brazil and Argentina), an editor for the journal Platforms and Society, and a member of Fairwork and Tierra Común.

 is an Assistant professor at CMU investigating accountability challenges in algorithmic systems, and aims to empower the users of algorithmic systems to make transparent, fair, and informed decisions.

is an Assistant professor at UT Austin working on building just and empowering workplaces and cities via technology that strengthen individual and collective human decision-making

is an Associate Professor at CMU interested in incorporating stakeholder values and societal considerations into the creation and evaluation process of AI technologies. She conducted several projects studying the design and social impacts of AI in gig work, child welfare, online content moderation, and mental health