Category Archives: Profile

陈颖妍 Yingyan Chen

陈颖妍是北京大学信息管理系情报学专业硕士研究生,2025年获得北京理工大学管理学院工商管理学士学位。她正在探索计算社会科学与智能方法融合的创新研究,主要关注应用智能代理实现扎根理论自动化分析的新方法,并以此探究不同群体的人工智能素养。
Yingyan Chen is a master’s student in Information Science at the Department of Information Management, Peking University. She holds a B.B.A. in Business Administration from the School of Management, Beijing Institute of Technology (2025). Building on her interdisciplinary background in management and information science, she is exploring innovative research at the intersection of computational social science and intelligent methodologies. Her current work focuses on automated grounded theory analysis using intelligent agents—termed “intelligent grounding”—and investigates artificial intelligence literacy across different demographic groups.

王捷 Jie Wang

王捷是北京大学信息管理系情报学专业硕士研究生,2023年本科毕业于北京大学信息管理与信息系统专业,同时修读了社会学专业双学位,她目前的研究方向为计算社会科学、AI素养等。

Jie Wang is a master’s student in Information Science at the Department of Information Management, Peking University. She graduated with a bachelor’s degree in Information Management and Information Systems from Peking University in 2023, while also completing a dual degree in Sociology. Her current research interests include computational social science and AI literacy.

石卓涵 Zhuohan Shi

石卓涵是北京大学信息管理系出版专业硕士研究生,本科主修信息管理与信息系统,辅修社会学。社会科学的复合背景使她关注于计算社会科学领域的数字鸿沟、信息素养(包括AI素养)等主题的研究,目前正在关注教育领域的生成式人工智能实践。

Zhuohan Shi is a Master’s student in Publishing at the Department of Information Management, Peking University. She completed her undergraduate studies at Peking University, majoring in Information Management and Information Systems with a minor in Sociology. Her interdisciplinary background in the social sciences has led her to focus on topics in computational social science, such as the digital divide and information literacy (including AI literacy). Currently, she is engaged in research on the application of generative artificial intelligence in the field of education.

冯如茵 Ruyin Feng

冯如茵是洛桑联邦理工学院(EPFL)数字人文专业硕士研究生(2024–2027),于2024年获得北京大学大数据管理与应用专业学士学位。
依托于理学与人文学科的背景,她一直从事数字人文领域的跨学科研究,研究方向涵盖计算社会学与数字文化研究。同时,她目前也在探索和学习生成式人工智能、机器学习以及VR开发。
课余时间,她喜欢进行手工创作与艺术活动,也喜欢探索大自然。

Ruyin Feng is a Master’s student in Digital Humanities at EPFL (2024–2027). She holds a Bachelor’s degree in Big Data Management and Application from Peking University (2024).
Building on her strong engineering and humanities background, she pursues interdisciplinary research in digital humanities, with interests in computational social media analysis and digital culture studies. She is also currently exploring generative AI, machine learning, and VR development with Unity.
Beyond academics, she enjoys making handcrafts and art, and spending time in nature.

贾博媛 Boyuan Jia

贾博媛于2025年硕士毕业于北京大学2023级信息管理系情报学专业,2018年获武汉大学信息管理系管理学学士学位。依托之前的数字人文学科经验,她正致力于计算社会科学领域的跨学科研究,研究涵盖人机交互和算法素养。

Boyuan Jia graduated with a master’s degree from the Department of Information Management, Peking University in 2025, majoring in Information Science. She obtained a bachelor’s degree in Management from the Department of Information Management, Wuhan University in 2018. Building on her previous experience in digital humanities, she is currently dedicated to interdisciplinary research in computational social science, covering human-computer interaction and algorithmic literacy.

黄泽林 Zelin Huang

黄泽林是北京大学信息管理系24级本科生,对新媒体研究、日常网络行为等领域研究较感兴趣,目前正积极参与课题组项目。

Zelin Huang is an undergraduate student in the Department of Information Management, Peking University. He is particularly interested in research areas such as new media studies and everyday online behavior, and is currently actively participating in research group projects.

Professor Ulrich Tiedau

Professor Ulrich Tiedau

I am a Professor of European History at the School of European Languages, Culture and Society of University College London (UCL) and, since 2010, an Associate Director of the UCL Centre for Digital Humanities. My research interests encompass various aspects of contemporary history, with a current focus on the history of early twentieth-century internationalism and on digital approaches to historical inquiry. I am a seminar convenor at the Institute for Historical Research (IHR), part of the University of London’s School of Advanced Study (SAS), and a co-founder of the Richard Deswarte Prize for Digital History. Recent publications include Pieter Geyl and Britain: Encounters, Controversies, Impact (University of London Press, 2022; co-edited with Stijn van Rossem) and: The European Unity League: Sir Max Waechter and the idea of Europe, 1904–1924 (London: Bloomsbury, 2025, forthcoming).

Lu Liu

Lu Liu

Lu Liu is a doctoral student in the Department of Information Studies, UCL. Her research focuses on developing a Gold Standard Corpus (GSC) for assessing the capabilities of Named Entity Recognition (NER) in the long 18th century texts (from late 17th to early 19th). This research aims to compare different NER approaches and drive progress in historical NER.

陈诺 Nuo Chen

陈诺是北京大学信息管理系情报学专业硕士研究生,2024年获北京航空航天大学电子信息工程学士学位。依托工程学背景,她正致力于计算社会科学领域的跨学科研究,研究涵盖人机交互、科学传播及计算叙事等方向。

Nuo Chen is a master’s student in Information Science at the Department of Information Management, Peking University. She holds a B.Eng. in Electronic Information Engineering from Beihang University (2024). Building on her engineering background, she is pursuing interdisciplinary research in computational social science, with interests in human–AI interaction, science communication, and computational narratives.

Dr. Andreas Vlachidis

Dr. Andreas Vlachidis is Associate Professor in Information Science at UCL’s department of information studies, teaching modules in Information Science Technology and in Natural Language Processing and Text Analysis. He has a strong track record in managing multidisciplinary research projects and fostering cross-disciplinary collaborations. As Technical Lead and Co-I of the multimillion UKRI-funded Sloane Lab, heled efforts in data unification, aggregation, and knowledge base development. Currently, as PI of the AHRC-DFG MeDoraH project, he leads UK-Germany research on oral history archival sources, semantics, and Digital Humanities through knowledge graphs, network analysis, and ontology-driven methods. His interdisciplinary expertise spans Information Science, Digital Humanities, and Computer Science, with a research focus on Text Analysis, Information Extraction, Semantic Data Modelling, and Knowledge Bases.