讲座时间：2026年5月22日20:30-21:30

讲座地点：腾讯会议：776-525-992 密码：0522

讲座主题：Computational Design Science: A Critical Information Systems Research Area Contributing to Artificial Intelligence and Data Science

主办单位：《管理科学》杂志、哈工大经管学院管理科学与工程系、教育部信息管理与信息系统虚拟教研室（哈工大牵头）

内容简介

In the era of artificial intelligence (AI) and data science, the demand for advanced AI methods and systems capable of analyzing voluminous, diverse, and granular data to tackle grand challenges in businesses and society is paramount. Situated at the intersection of information technology with business and social sciences, the information systems (IS) discipline is uniquely equipped to lead cutting-edge research that develops advanced AI solutions to address important business and societal challenges. But the potential of IS to contribute to this critical area has not been fully realized, largely due to its inadequate recognition of the relevance and importance of computational design science (CDS) research. As a specific genre of design science, CDS aims to develop novel computational algorithms and methods to solve business and societal problems with significant impacts. Prior literature elaborates on how to conduct and assess design science research in a general sense, but lacks guidelines for conducting and evaluating CDS research. We thus uncover the relationship of CDS with AI and data science, and stress that CDS is a vital IS area that can make substantial methodological contributions to AI and data science, in addition to the IS knowledge base. We further identify issues that prevent the IS community from fully appreciating the relevance and significance of CDS research. By addressing these issues, we delineate what CDS research is and what its contributions are, clarifying that CDS research should be evaluated based on its methodological contributions. Moreover, we explicitly elaborate the identity of CDS research, particularly specifying its differences from machine learning (ML) research in computer science and applied ML studies in other business fields. Finally, we propose a holistic template that offers clear and thorough guidance for IS scholars preparing CDS papers.

嘉宾简介

Michael Chau，香港大学经济及工商管理学院(港大商学院)教授。

Michael Chau教授的研究聚焦于信息系统、计算机科学、商业分析与信息科学之间的跨学科交叉领域，尤其关注人工智能和机器学习在商业、教育及社会等各个领域中的应用。在信息系统及其他学科的顶级期刊发表论文90余篇，曾多次获得研究奖项，并入选国际信息系统协会(AIS)高级学者。现任International Journal of Information Management主编、MIS Quarterly高级编辑。