Research Interests
Text mining in large digital libraries, Modeling literary concepts with machine learning, 18-19c British literature, History of 18-19c science, Sociology of cultural distinction
Education
English, Ph.D, Cornell University
Ph.D, Cornell University, 1997
Additional Campus Affiliations
Associate Dean for Academic Affairs, School of Information Sciences
Professor, School of Information Sciences
Professor, English
External Links
Highlighted Publications
Underwood, T. (2019). Distant Horizons: Digital Evidence and Literary Change. University of Chicago Press. https://doi.org/10.7208/chicago/9780226612973.001.0001
Underwood, W. E. (2013). Why Literary Periods Mattered: Historical Contrast and the Prestige of English Studies. Stanford University Press. https://doi.org/10.1515/9780804788441
Underwood, T. (2005). The Work of the Sun: Literature, Science, and Political Economy, 1760-1860. Palgrave Macmillan. https://doi.org/10.1057/9781403981905
Recent Publications
Shang, W., Jett, J., Underwood, T., & Stephen Downie, J. (2023). Descriptive Cataloging Issues for Non-Western Corpora: A Case Study of Late Imperial Chinese Books. Cataloging and Classification Quarterly, 61(1), 1-19. https://doi.org/10.1080/01639374.2022.2148800
Hu, Y., LeBlanc, Z., Diesner, J., Underwood, T., Layne-Worthey, G., & Stephen Downie, J. (2022). Complexities associated with user-generated book reviews in digital libraries: Temporal, cultural, and political case studies. In JCDL 2022 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2022 Article 30 (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1145/3529372.3530930
Jiang, M., Dubnicek, R. C., Worthey, G., Underwood, T., & Stephen Downie, J. (2022). A prototype Gutenberg-HathiTrust sentence-level parallel corpus for OCR error analysis: pilot investigations. In JCDL 2022 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2022 (pp. 1-5). Article 45 (Proceedings of the ACM/IEEE Joint Conference on Digital Libraries). Association for Computing Machinery. https://doi.org/10.1145/3529372.3533298
Underwood, T., Kiley, K., Shang, W., & Vaisey, S. (2022). Cohort Succession Explains Most Change in Literary Culture. Sociological Science, 9, 184-205. https://doi.org/10.15195/V9.A8
Walsh, J. A., Cobb, P. J., de Fremery, W., Golub, K., Keah, H., Kim, J., Kiplang'at, J., Liu, Y. H., Mahony, S., Oh, S. G., Sula, C. A., Underwood, T., & Wang, X. (2022). Digital humanities in the iSchool. Journal of the Association for Information Science and Technology, 73(2), 188-203. https://doi.org/10.1002/asi.24535