上海科技大学人文写作工作坊【Humanist Writing at ShanghaiTech】

上海科技大学人文写作工作坊【Humanist Writing at ShanghaiTech】

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目标与理念 Mission Statement 

l   以跨学科合作为手段，提高以发表为目的的写作的质量

Collaboration across fields to improve quality of writing at various stages before publication


l  帮助人文学院年轻学者提高出版成绩，尤其是专著成果

    Supporting the publication efforts of junior colleagues in the Humanities, especially those who are moving ahead with their monographs


l   增进人文学院教师与其它部门的教师队伍之间的跨学科对话，培养多角度思考的综合能力

    Fostering interdisciplinary dialogues between Humanities and and faculty members of other disciplines at ShanghaiTech, integrating diverse perspectives


l   为今后可能举办的上海科技大学跨学科人文写作年会打下坚实的基础

Providing ethical and intellectual grounding for a potential culminating annual forum


我们相信全球面临的问题可以通过跨学科合作找到解决的途径。我们相信跨学科对话能够促进各学科产出更多的研究成果。

We believe that global problems can be solved through finding common grounds across disciplinary boundaries. We believe in interdisciplinary dialogues in fostering productivity in research and discovery.


本学期我们将陆续推出以下研讨会：

The program for the Spring semester of 2024 will feature the following presentations:

  • 3/11 徐芃 Peng Xu (人文学院), “The Courtesan’s ‘Role Portrait’: Brothel Performances and the Qiu Ying Models in Late Ming Suzhou”


  • 4/8 毛佩洁 Peijie Mao (人文学院), “The Glory and Curse of the War: Visual and Textual Representations of the Great War in Saturday Weekly”


  • 4/23 邹亚文 Yawen Zou (人文学院), “The Computational History of Science in the Era of Big Data and AI: Opportunities and Challenge." 


  • 5/27 涂栋栋 Dongdong Tu (人文学院), “Rethinking the Emergence of Early Village life in North China: Perspectives from Recent Archaeological Discoveries”  


  • 6/3 林凌翰 Ling Hon Lam (加州大学伯克利分校东亚系)，“What Noise Does a Psychotic Door Listen To? Information, Intermediality, and Guo Baochang’s Peking Opera Film Dream of the Bridal Chamber”


  • 6/17 张海鹏 Haipeng Zhang (信息学院) "Paths of A Million People: Extracting Life Trajectories from Wikipedia and News Articles"


组织机构



指导委员会：张汝伦︑陆卫（物质学院）、罗振革（生命学院）︑水雯箐（iHuman） 、徐芃

Advisory Committee: Zhang Rulun, Lu Wei, Luo Zhenge, Shui Wenjing, Xu Peng


创始提议人：徐芃，Igor Fedyukin，谢明

Founding Co-Chairs: Peng Xu, Igor Fedyukin, Richard Ming Xie


2024年执行主席：Igor Fedyukin

 Acting Chair of 2024: Igor Fedyukin 



提交摘要


6 月 17 日,  第五场上海科技大学"人文写作工作坊"，张海鹏教授将讨论他的论文 “Paths of A Million People: Extracting Life Trajectories from Wikipedia and News Articles”。

时间： 6月17日12:00-13:00

地点：创艺东楼 200 室

主讲人：上海科技大学张海鹏教授 

主持人：上海科技大学人文学院副教授Igor Fedyukin 


The fifth workshop in the series, a discussion of  “Paths of A Million People: Extracting Life Trajectories from Wikipedia and News Articles” by Dr. Haipeng ZHANG will take place on June 17.

Topic: "Paths of A Million People: Extracting Life Trajectories from Wikipedia and News Articles" 

 

Speaker: Dr. Haipeng ZHANG, School of Information Science and Technology, ShanghiaTech 

Date and time: June 17, 12:00-13:00

Venue: SCA Building, E 200

Moderator： Dr. Igor FEDYUKIN, Institute of Humanities, ShanghaiTech


"Paths of A Million People: Extracting Life Trajectories from Wikipedia and News Articles"


Notable people's life trajectories have been a focus of study -- the locations and times of various activities, such as birth, death, education, marriage, competition, work, delivering a speech, making a scientific discovery, finishing a masterpiece, and fighting a battle, and how these people interact with others, carry important messages for the broad research related to human dynamics. However, the scarcity of trajectory data in terms of volume, density, and inter-person interactions, limits relevant studies from being comprehensive and interactive. We mine millions of biography pages from Wikipedia and tackle the generalization problem stemming from the variety and heterogeneity of the trajectory descriptions. Our ensemble model COSMOS, which combines the idea of semi-supervised learning and contrastive learning, achieves an F1 score of 85.95%. For this task, we also create a hand-curated dataset, WikiLifeTrajectory, consisting of 8,852 (person, time, location) triplets as ground truth. Besides, we perform an empirical analysis on the trajectories of 8,272 historians to demonstrate the validity of the extracted results. To facilitate the research on trajectory extractions and help the analytical studies to construct grand narratives, we make our code, the million-level extracted trajectories, and the WikiLifeTrajectory dataset publicly available. Currently, we publish 5% extracted data. The remaining data and the WikiLifeTrajectory dataset will be made public after the paper is accepted.



The program for the Spring semester of 2024 featured the following presentations:


  • 3/11 徐芃 Peng Xu (人文学院), “The Courtesan’s ‘Role Portrait’: Brothel Performances and the Qiu Ying Models in Late Ming Suzhou”


  • 4/8 毛佩洁 Peijie Mao (人文学院), “The Glory and Curse of the War: Visual and Textual Representations of the Great War in Saturday Weekly”


  • 4/23 邹亚文 Yawen Zou (人文学院), “The Computational History of Science in the Era of Big Data and AI: Opportunities and Challenge." 


  • 5/27 涂栋栋 Dongdong Tu (人文学院), “Rethinking the Emergence of Early Village life in North China: Perspectives from Recent Archaeological Discoveries”  


  • 6/3 林凌翰 Ling Hon Lam (加州大学伯克利分校东亚系)，“What Noise Does a Psychotic Door Listen To? Information, Intermediality, and Guo Baochang’s Peking Opera Film Dream of the Bridal Chamber”


  • 6/17 张海鹏 Haipeng Zhang (信息学院) "Paths of A Million People: Extracting Life Trajectories from Wikipedia and News Articles"

fedyukini@shanghaitech.edu.cn

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