David T. Lee
davidtlee AT stanford DOT edu
I am a PhD candidate in Electrical Engineering at Stanford University, where I work with
Ashish Goel as part of the
Social Algorithms Lab and the
Crowdsourced Democracy Team.
I received my BSc in Electrical Engineering at Caltech, where I worked with
Jehoshua Bruck as part of the
Molecular Programming Project.
I am grateful to have been supported by an
NSF Graduate Research Fellowship. I am also an
Accel Innovation Scholar and two-time recipient of a
Brown Institute for Media Innovation Magic Grant.
- P. Dandekar, A. Goel, D. T. Lee. Biased Assimilation, Homophily, and the Dynamics of Polarization. Proceedings of the National Academy of Sciences (PNAS). 110(15):5791-5796, April 2013. [pdf]
- D. T. Lee, A. Goel, T. Aitamurto, H. Landemore. Crowdsourcing for Participatory Democracies: Efficient Elicitation of Social Choice Functions. Proc. 2nd AAAI Conference on Human Computation and Crowdsourcing (HCOMP). Nov 2014. Notable Paper Award. [pdf of full version]
- A. Goel, D. T. Lee. Large-Scale Decision-Making via Small Group Interactions: The Importance of Triads. Presented at the 5th International Workshop for Computational Social Choice (COMSOC) and the 3rd Workshop on Social Computing and User Generated Content (SCUGC). [pdf of newest version]
Things I Love Thinking About
My research focuses on algorithms, platforms, and incentives for social systems and connective media. I am currently focused on large-scale collaboration: I want to enable people to meaningfully engage in the communities they care about, and to help those communities effectively coordinate those people toward unified goals.
More broadly, I believe that just as big data transformed diverse industries through tools for processing large amounts of data, big people will further drive transformation in diverse industries through tools for coordinating large numbers of people. Projects I have worked on include:
- the role of biased assimilation and homophily in causing attitude polarization [PNAS 2013],
- large-scale decision-making via small group interactions, and the importance of triads [COMSOC 2014],
- efficient elicitation of voting rules for scaling up participatory democracies [IJCAI 2015, HCOMP 2014, WINE 2012],
- Synapp, a platform that connects communities through collaboration and decision-making,
- Widescope, a platform that aims to facilitate collaboration on reducing the federal budget deficit, and
- Participatory Budgeting Platform, a platform that aims to scale the participatory budgeting process.
I am also interested in the broader theme of computation through local, distributed interactions, and the (related) role of randomness in computation. In this vein, I have worked on a couple other projects:
- using biological networks to perform bayesian inference [CS 228],
- modeling biological switches with urn functions and the role of dimers [ISIT 2012],
- geometric bounds for absorption or hitting times of reversible markov chains [STATS 318], and
- generating probability distributions using multivalued stochastic relay circuits [TC 2015].