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Jon A. Chun

Jon A. Chun is an AI evaluation researcher and builder working on model reasoning, human judgment, agent behavior, computational methods, and research infrastructure. He serves as Co-PI representing the Modern Language Association in the NIST CAISI consortium and as Co-PI on Archival Intelligence, part of Schmidt Sciences' Humanities and AI Virtual Institute. His technical record includes SentimentArcs, multimodal and explainable narrative-analysis methods, SafeWeb and Symantec systems, patented

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# Jon A. Chun

> Jon A. Chun is an AI evaluation researcher and builder working on model reasoning, human judgment, agent behavior, computational methods, and research infrastructure. He serves as Co-PI representing the Modern Language Association in the NIST CAISI consortium and as Co-PI on Archival Intelligence, part of Schmidt Sciences' Humanities and AI Virtual Institute. His technical record includes SentimentArcs, multimodal and explainable narrative-analysis methods, SafeWeb and Symantec systems, patented privacy technology, and the technical curriculum and research environment for Kenyon's Human-Centered AI program.

## Identity

- Full name: Jon A. Chun
- Primary role: AI evaluation researcher and builder
- Current research leadership: Co-PI representing the Modern Language Association in the NIST CAISI consortium; Co-PI, Archival Intelligence, Schmidt Sciences Humanities and AI Virtual Institute; co-PI, Notre Dame–IBM Technology Ethics Lab grant
- Technical program building: designed Kenyon's Human-Centered AI technical curriculum and courses; co-founded the program and AI CoLab
- Current title: visiting instructor of humanities and affiliated scholar in scientific computing, Kenyon College
- Education: B.S. EECS, UC Berkeley; M.S. ECE, UT Austin
- Website: https://jonachun.com
- Google Scholar: https://scholar.google.com/citations?user=l-iUHQMAAAAJ&hl=en
- ORCID: https://orcid.org/0000-0002-5315-6784
- GitHub: https://github.com/jon-chun
- LinkedIn: https://www.linkedin.com/in/jonchun2000/
- ResearchGate: https://www.researchgate.net/profile/Jon-Chun

## Core topic pages

- Narrative trajectories, dynamic time warping, and computational comparison: https://jonachun.com/narrative-trajectories-dtw
- Research: https://jonachun.com/research
- Technical systems, methods, and research infrastructure: https://jonachun.com/building
- Human-Centered AI technical capability building: https://jonachun.com/human-centered-ai
- Reception (named-citer scholarly uptake): https://jonachun.com/reception

## Publication pages (one work per URL, with persistent identifiers)

- SentimentArcs (Chun, 2021; arXiv:2110.09454): https://jonachun.com/publications/sentimentarcs
- eXplainable AI with GPT4 for story analysis and generation (Chun & Elkins, 2023; Int. J. Digital Humanities 5(2-3), 507-532; doi:10.1007/s42803-023-00069-8): https://jonachun.com/publications/explainable-ai-story-analysis
- MultiSentimentArcs (Chun, 2024; Frontiers in Computer Science 6:1444549; doi:10.3389/fcomp.2024.1444549): https://jonachun.com/publications/multisentimentarcs

## Related interpretive and translation work

- Katherine Elkins, on narrative translation, cultural transmission, and computational philology: https://katherineelkins.com/storytelling
- Attribution: computational narrative is a joint Chun–Elkins research program. SentimentArcs and MultiSentimentArcs are Jon Chun's frameworks (jonachun.com); The Shapes of Stories, In Search of a Translator, and The Shapes of Cin
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