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Jamie C. Macbeth

Research Affiliate 2019-2021 Assistant professor, Department of Computer Science, Smith College
The trailblazers in human, academic, scientific and religious freedom have always been in the minority… It will take such a small committed minority to work unrelentingly to win the uncommitted majority. Such a group may transform America’s greatest dilemma into her most glorious opportunity.
— Dr. Martin Luther King Jr.

Background

Jamie C. Macbeth is an assistant professor of computer science at Smith College. He received his PhD in computer science from the University of California Los Angeles, following an MS in physics (Stanford University) and a BS in physics (Brown University).

Interests

Macbeth’s research is focused on building and studying intelligent computing systems that demonstrate a human-like capability for in-depth understanding and production of natural language, and thus can achieve richer interactions with human users. He is especially keen on building systems that decompose the meaning of language into complex conceptual structures that reflect humans’ embodied cognition, memory, imagery and knowledge about social situations. Macbeth uses crowdsourcing and machine learning techniques to build these systems to scale, but he also often crafts systems by hand because it informs his research as to how to use crowds and machine learning methods better. Because these systems can comprehend narratives and participate in discourse, he studies how they may support safe and positive experiences for users of social media platforms by preventing the spread of harmful behaviors on them.

Sample Work

  • Publication

    Automated Narrative Understanding Technologies for Intervention Against Cyberbullying

    “Automated Narrative Understanding Technologies for Intervention Against Cyberbullying,” in Narratives in Research and Interventions on Cyberbullying among Young People. Edited by Heidi Vandebosch and Lelia Green. Springer, Berlin/Heidelberg, forthcoming.

  • Publication

    Monitoring Scene Understanders with Conceptual Primitive Decomposition and Commonsense Knowledge

    “Monitoring Scene Understanders with Conceptual Primitive Decomposition and Commonsense Knowledge,” with Leilani H. Gilpin and Evelyn Florentine, Advances in Cognitive Systems 6, (2018): 45–63.

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