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Senior Scientist and Lecturer
About Me
About Me
My research lies at the intersection of responsible AI, participatory sensing, and computational social science, where I develop frameworks and technologies that address pressing societal and ethical challenges. I focus on integrating value-sensitive design, co-creation, and collective intelligence into the development and governance of AI systems—ensuring they are not only technically robust but also contextually legitimate and socially accountable.
Currently, I am a Senior Researcher in the Computational Social Science Group at ETH Zurich, where I focus on challenges related to smart cities and environmental sustainability. Using principles of self-organization, collective intelligence, and open-source urbanism, I investigate how IoT systems and environmental monitoring can be designed to align with societal values. Through field and lab experiments, I explore the role of citizen science and co-creation in shaping technologies that are inclusive, equitable, and responsive to community needs. This approach ensures that technological advancements not only address environmental and urban challenges but also prioritize fairness and public well-being.
Before joining ETH Zurich, I was a Postdoctoral Research Associate at the University of Cambridge’s Department of Sociology, working with Prof. Jennifer Gabrys on citizen sensing and new forms of environmental engagement. I also served as a Research Fellow at the University of Surrey’s Global Centre of Clean Air Research, where I developed frameworks for air quality sensing with a focus on citizen science and co-creation. I hold a PhD in Social Networks and Human-Centered Computing from Academia Sinica, where I worked under Prof. Ling-Jyh Chen to explore grassroots IoT networks and their role in urban resilience.
Across my work, I aim to bridge technical design with participatory governance to ensure that technologies—especially AI—are developed with, rather than simply for, society.
News!
News!
Oct 2024. Democratizing Urban Mobility Through an Open-Source, Multi-Criteria Route Recommendation System has been accepted as a Late Breaking Result at the ACM RecSys conference, which will take place in Bari, Italy.
Sep 2024. Global comparison of urban bike-sharing accessibility across 40 cities has been published in Scientific Reports.
May 2024. Practicalities of community-led continuous water quality monitoring: lessons from Taiwan and UK pilots has been accepted for publication in Frontiers in Environmental Science.
May 2024. The Open Forum paper on the Executioner Paradox has been published in AI & Society.
May 2024. A new version of greenR R package has been released. The paper about the package has been published in Ecological Indicators.
Feb 2024. Our work on pedestrian perception of future street scenarios has been published in Scientific Reports.
August, 2023. Our work on Smart Cities and Access to Nature has been published in IEEE Access.
July, 2023. Our work on Democracy by Design has been published in the Journal of Computational Science.
Our Co-creation and IAQ work was featured in "Community science draws on the power of the crowd" in Nature.
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