演讲人: 俞一凡，助理教授，德克萨斯大学奥斯汀分校

时间: 2024年7月5日下午13:30-15:00

地点: 同济大厦A楼2020室

腾讯会议（线上同步）

会议号： 946 688 226

会议密码： 825180

讲座摘要:

This talk presents three empirical papers on extracting new features from unstructured and multi-modal data and deriving new managerial insight. The first paper analyzes a million-scale dynamic multiplex network and shows new multiplex network are associated with volunteer crowdsourcing behaviors. The second paper analyzes text and picture data and shows multi-modal affective information is associated with review helpfulness. The third paper analyzes text, picture, and video data of outstream video ads and show multi-modal features are associated with consumer attention and clicking behaviors.

演讲嘉宾简介:

Dr. Yu obtained his PhD degree from University of Washington. He received bachelor’s and master’s degrees from Tsinghua University. His research centers on (1) the economics of artificial intelligence and machine learning; (2) business analytics leveraging online unstructured data (i.e., text, images, videos, networks, behavioral sequences). He has published in top journals in the area of Information Systems (ISR and MISQ) and received several best paper awards or nominations at the top Information Systems conferences (e.g., INFORMS, CIST, and WITS).

俞一凡博士毕业于华盛顿大学。他本科和硕士毕业于清华大学。他的研究主要包括（1）人工智能和机器学习的经济学；（2）利用线上非结构性数据（例如文本、图片、视频、网络、行为序列等）进行商务分析。他的研究发表于信息系统领域的刊物（ISR和MISQ），并在信息系统国际会议上（INFORMS，CIST，WITS）获得了若干最佳论文（或提名）奖项。