Cindy Lin is an assistant professor at Pennsylvania State University’s College of Information Sciences and Technology. She is the lab director of Critical Technocultures Lab. Prior to her professorship, she was a Postdoctoral Fellow at the Cornell Atkinson Center for Sustainability, affiliated with the Department of Information Science. She was also a Digital Life Initiative Visiting Fellow at Cornell Tech.

Cindy’s (she/her) research draws on long-term fieldwork with environmental scientists, computer engineers, and cloud architects in government and industry, to examine the politics of computational labor and data architectures for subterranean peatland fire control in Indonesia.  

At present, Cindy is working on a book project that examines ground truth within the history of machine learning as a shifting political and scientific category. This book asks how ground truth and its claim to accuracy and evidentiality have shape and been shaped by transnational exchanges of mapping, surveying, and computing expertise between Southeast Asia and the United States.

As an information scholar, her work is located at the intersection of postcolonial and feminist science and technology studies (STS), critical data studies, history of computing, and environmental justice. Her work has been published in leading computing venues including ACM CHI, DIS, and PD and has been featured in Social Text and CoDesign. Her graduate studies and research have been funded by the National Science Foundation, Dow Sustainability Fellows Program, Rackham Graduate School and the International Institute at the University of Michigan.

Cindy is the co-author of Technoprecarious, a multigraph written with Precarity Lab analyzing the role of digital technology in multiplying precarity. She was also the co-director of DoIIIT, an interactive design and making studio. She holds a Ph.D. in Information from the School of Information (UMSI) and a graduate certificate from the Science, Technology, and Society Program at the University of Michigan, Ann Arbor.