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Baskin School of Engineering
Computational Media
Associate Professor
Faculty
Regular Faculty
Engineering Building 2
257
SOE3
David T. Lee is an Associate Professor of Computational Media at UC Santa Cruz, where he directs the Tech4Good Lab. He is also the first Director of Research Pathways in Baskin Engineering. He received his Ph.D. from Stanford University and his B.S. from the California Institute of Technology. His research centers on designing human-AI ecosystems for education, work, and community engagement, and on supporting experiential, community-engaged passion-driven learning. He founded and directs several student programs including the Tech4Good Collaboratory, a Course-Based Community Consultancy, and the Exploratory Reading Group program, each of which provide rich learning experiences to hundreds of students as early as their first year. His work has received awards at AAAI HCOMP, ACM CHI, and ACM CSCW, and been published in the Proceedings of the National Academy of Sciences (PNAS), and been deployed to serve students, communities, and governments. He has received a Baskin Engineering Teaching Excellence Award, NSF Graduate Research Fellowship, Accel Leadership Fellowship, Santa Cruz Titans of Tech Award, Brown Institute for Media Innovation Magic Grant (x2), Google Scholars Research Award, Public Interest Technology University Network (PIT-UN) Network Challenge, and NSF Improving Undergraduate STEM Education Grant (x3).
Social computing; human-computer interaction; future of education and work; participatory democracy; human-AI collaboration.
- D. M. Torres-Mendoza, S. Kheirinijad, M. Ajmal, A. Chembu, D. Palea, J. Whitehead, and David T. Lee. Evaluating Exploratory Reading Groups for Supporting Undergraduate Research Pipelines in Computing, ICER 2024.
- D. Palea, G. Vadhul, D. T. Lee. Annota: peer-based AI hints towards learning qualitative coding at scale, IUI 2024.
- K. Lei, M. Yu, M. Lewellen, V. Ku, D. T. Lee. Compass: Supporting Large Group Mentorship in a Chat-Based UI, CSCW 2023.
- V. A. Rivera, D. T. Lee. I Want To, But First I Need To: Understanding Crowdworkers' Career Goals, Challenges, and Tensions, CSCW 2021.
- D. T. Lee, M. Levi, J. S. Brown. Democratic Societal Collaboration in a Whitewater World, In Digital Technology and Democratic Theory, Chicago Press 2021.
- D. T. Lee, E. S. Hamedian, G. Wolff, and A. Liu. Causeway: Scaling Situated Learning via Micro-Role Hierarchies, CHI 2019.
- A. Goel and D. T. Lee. Towards Large-Scale Deliberative Decision-Making: Small Groups and the Importance of Triads, EC 2016.
- D. T. Lee, A. Goel, T. Aitamurto, and H. Landemore. Crowdsourcing for Participatory Democracies: Efficient Elicitation of Social Choice Functions, HCOMP 2014.
- P. Dandekar, A. Goel, and D. T. Lee. Biased Assimilation, Homophily, and the Dynamics of Polarization, PNAS 2013.
- Designing human-AI ecosystems for education, work, and communities, Kraw Lecture 2024.
- 7th titans of tech: David Lee, Santa Cruz Works Titans of Tech 2024.
- Redesigning our economy to maximize people's fullest contributions, TEDxSantaCruz 2019.
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