Cindy Lin is a Postdoctoral Fellow at the Atkinson Center for Sustainability, affiliated with the Department of Information Science. Her fellowship begins August 15, 2021. 

In Fall 2022, she will be an assistant professor at Pennsylvania State University’s College of Information Sciences and Technology. 

Her current research investigates the presence of bias and inequality in artificial intelligence (AI) systems deployed within the environmental sciences. She works with machine learning practitioners and environmental scientists to consider how decolonial and liberatory approaches to AI can promote environmental justice and sustainability. She is currently working on a book project on how American IT corporations implement large-scale AI systems into postcolonial governance frameworks in Southeast Asia, with the purported goal of addressing global climate change.

She is also involved in a range of collaborative research projects related to transnational technology production, racial relations, and digital labor, including a multi-sited ethnographic project on the racialization of Chinese tech professionals in the American IT industry amidst rising US-China geopolitical tensions. Her previous work focused on the histories and practices of computing and grassroots technology, including the politics of countercultural movements, participatory design, open source hardware and citizen science technologies. 

Her work has been published in leading computing venues such as ACM CHI, TOCHI, DIS and PD, as well as journals such as Social Text. She has also co-authored a multigraph, Technoprecarious, published with MIT Press in November 2020.

Cindy is a 2021 Community Fellow at the Federation of Earth Science Information Partners, a NASA-founded nonprofit organization committed to coordinating earth and environmental science interoperability efforts. She also served as the co-director of Designers of Interactive, Intelligent, Internet of Things (DoIIIT), an interactive design and fabrication studio at the School of Information, University of Michigan.