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David Smith

Khoury College of Computer Sciences

IIID Faculty Affiliate

research interests

  • Efficient inference for machine learning models with complex latent structure

  • Modeling natural language structures, such as morphology, syntax, and semantics

  • Modeling the mutations in texts as they propagate through social networks and in language across space and time

  • Interactive information retrieval and machine learning for expert users

about

David Smith’s research focuses on modeling natural language structures and tracking mutations in texts across space and time through social media. He is also a member of the NULab for Texts, Maps, and Networks, which combines computer science and humanities to track cultural phenomena through computer science.

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Measuring Agency-Amplifying AI Literacy: The HuskyAI Coaching Platform for Workforce Readiness

July 2026

HuskyAI is a web platform on which students develop AI knowledge by working through authentic

Artificial Intelligence

Artificial Intelligence

Working Paper

Rectangle 35

Measuring Agency-Amplifying AI Literacy: The HuskyAI Coaching Platform for Workforce Readiness

July 2026

HuskyAI is a web platform on which students develop AI knowledge by working through authentic

Artificial Intelligence

Artificial Intelligence

Working Paper

Rectangle 35

Measuring Agency-Amplifying AI Literacy: The HuskyAI Coaching Platform for Workforce Readiness

July 2026

HuskyAI is a web platform on which students develop AI knowledge by working through authentic

Artificial Intelligence

Artificial Intelligence

Working Paper

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