My lab is actively engaged in building smart (think context-aware, proactive) systems that are also fair, equitable, and transparent. The applications are often in search and recommender systems, focusing primarily on algorithmic work, but also paying attention to human elements. The methods used are usually computational (reinforcement learning, neural networks) in nature, but we also do crowdsourcing experiments and some user studies.

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