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X-WR-CALDESC:Events for Fairbank Center for Chinese Studies
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DTSTART;TZID=America/New_York:20260506T103000
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SUMMARY:Poetry Evaluation and Gender Portrayal in Early Medieval Chinese Texts: Two Case Studies Using Language Models
DESCRIPTION:Speaker: Wenyi Shang\, Assistant Professor\, School of Information Science & Learning Technologies\, University of MissouriEarly medieval Chinese texts are known for their interpretive richness\, inviting a wide range of sometimes conflicting readings. The development of Transformer-based language models allows us to revisit these texts and examine them comparatively within a shared semantic space. This presentation introduces two case studies: one on poetry evaluation in the work of literary criticism Shipin 詩品 (Poetry Gradings)\, composed in the early sixth century\, and the other on gender portrayal in epitaph verses from the Northern Wei dynasty (386–534 C.E.). The results reveal nuanced yet consistent patterns in both cases\, which become most visible within a relational space by simultaneously comparing a large corpus of texts\, an endeavor made possible through computational methods. \n\n\n\nWenyi Shang is an assistant professor in the School of Information Science & Learning Technologies at the University of Missouri. He received his bachelor’s degree from Peking University in 2019\, and his Ph.D. in information sciences from the University of Illinois Urbana-Champaign in 2024. His research focuses on digital humanities\, where he both works as a humanities scholar specializing in medieval China\, applying computational methods to revisit longstanding questions in the social\, political\, cultural\, and literary history of the period\, and works with humanities scholars as a methodologist and disciplinary translator\, engaging in topics across humanities disciplines. \n\n\n\n\n\n\n\n\n\n\n\nVenue
URL:https://fairbank.fas.harvard.edu/events/poetry-evaluation-and-gender-portrayal-in-early-medieval-chinese-texts-two-case-studies-using-language-models/
LOCATION:Room K354\, CGIS Knafel\, 1737 Cambridge St\, Cambridge\, Massachusetts\, 02138\, United States
ATTACH;FMTTYPE=image/jpeg:https://fairbank.fas.harvard.edu/wp-content/uploads/2026/04/dci1.jpg
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DTSTART;TZID=America/New_York:20260506T153000
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CREATED:20260415T162247Z
LAST-MODIFIED:20260429T164134Z
UID:44760-1778081400-1778085000@fairbank.fas.harvard.edu
SUMMARY:Electric Vehicle–Power System Interactions: Potential\, Impacts\, and Economics
DESCRIPTION:Speaker: ZHAO Yang\, Postdoctoral Fellow\, Harvard Paulson School of Engineering and Applied Sciences \n\n\n\nRSVP Required \n\n\n\nEV-grid integration (VGI) has the potential to manage the power demand from EVs and utilize EV batteries as distributed storage to support power-system balancing. Challenges remain in planning the long-term development of EV-grid integration\, as the system value of VGI is often insufficiently understood in the context of coupled power-system expansion and EV growth. Recent studies have explored the impact of VGI on solar-rich power systems\, where noon-time charging is predominantly promoted. However\, many coastal high-growth regions are well suited to EV adoption but face land constraints on utility-scale solar and wind generation\, making the role of VGI unclear. Here\, we develop an integrated optimization model linking EV operating patterns with least-cost power-system expansion under VGI. We apply it to Guangdong\, China’s leading province in both EV stock and electricity demand\, through 2050 under different decarbonization scenarios. Our results show how VGI interacts with rooftop PV\, offshore wind\, and fossil-fuel-fired power plants with CCS under different decarbonization scenarios. We further evaluate the avoided system costs of unidirectional and bidirectional VGI in long-run power-system expansion. \n\n\n\n\n\n\n\n\n\n\n\nVenue
URL:https://fairbank.fas.harvard.edu/events/electric-vehicle-power-system-interactions-potential-impacts-and-economics/
LOCATION:Pierce Hall 100F\, 29 Oxford St.\, Cambridge\, MA\, 02138\, United States
ATTACH;FMTTYPE=image/jpeg:https://fairbank.fas.harvard.edu/wp-content/uploads/2026/04/zhao-yang.jpg
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