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Knowledge and Data-Driven Decision Making | Original Thinking Webinar
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This event is hosted by Yu-Wang Chen, Professor in Decision Sciences and Business Analytics at Alliance Manchester Business School.
Knowledge and Data-Driven Decision Making
Data-driven decision making is the practice of using data to support decision making, and it becomes more widely recognised with the development of decision science, data science and artificial intelligence. Real-world decision making problems are usually characterised by multiple criteria and associated with uncertainty. Data often come from different sources in different formats. In addition, decision makers’ domain knowledge also plays an important role in making informed decisions.
In this episode, Yu-wang will introduce his work in this research domain and a number of examples from his own research will be used to highlight how data and knowledge can be aggregated to support decision making in business and management.
Yu-wang Chen
Prior to joining AMBS, Yu-wang worked briefly as a Postdoctoral Research Fellow at the Department of Computer Science, Hong Kong Baptist University. He received the PhD degree in Control and System Engineering from Shanghai Jiao Tong University.
His research focuses primarily on Decision Sciences and Data Analytics, including their applications in business analytics, supply chain risk analysis, healthcare decision support, etc. He has published more than 60 research articles in leading journals, such as European Journal of Operational Research, Computers & Operation Research, and more.
He has successfully coordinated and taught across a broad portfolio of course units at all different undergraduate and postgraduate levels at AMBS. He currently acts as the Programme Director (2015-2018 & 2020-present) for the MSc Business Analytics programme (2022 QS Ranking: 2nd in the UK & 10th in the world).
The episode is facilitated by Richard Allmendinger, Professor and Business Engagement Lead of Alliance Manchester Business School.
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