Machine Learning and AI use in Business & Economics

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On the 24th November, Advanced Research Computing (or the BEAR team!) and researchers in the Business School and Economics presented a hybrid 1 hour session around the use of Machine Learning and AI techniques, in relation to their research areas. There was also a short demo on using the BEAR portal for Economics/Business-related software applications for AI use (see the first talk from Jenny).

A recording of the session is now available below, together with slides from each of the speakers:

Dr Jenny WongIntroduction to Machine Learning and AI 
Duiyi (Claire) DaiTextual Analysis and Machine Learning in my Economics Research: BlueBEAR Helps
Binzhi ChenHow BlueBEAR helps Business School Research? From the Perspective of Econometrics
Dr Bowen LiuWhen Econometrics meets Machine Learning: Application in Environmental Economics
Order of speakers for Machine Learning and AI Session in the Business School
1 hour video recording of the seminar on Machine Learning and AI presented in the Business School on 24th November, 2022.

Dr Jenny Wong (Senior Research Software Engineer in Advanced Research Computing) provided an overview of machine learning and AI techniques and how you can access the Baskerville Tier 2 supercomputer. Jenny’s slides are below:

Duiyi (Claire) Dai (PhD student in Economics), presented her research on measuring Brexit uncertainty, applying textual analysis and machine learning techniques. She introduced how BlueBEAR has helped in her research. Claire has written a case study on how she uses BlueBEAR, which is available here: Claire’s slides are available below:

Binzhi Chen (PhD student from Economics), discussed the advantages of BlueBEAR to Birmingham Business School students, especially to data analysis oriented research during PhD study. He also talked about how BlueBEAR helps his current research and why it is a powerful tool to both applied and theoretical econometricians. Binzi’s slides can be found below:

Dr Bowen Liu (Research Fellow in the Birmingham Business School), introduced how the combination of machine learning and econometrics can help better understand the effectiveness of air pollution control policies around the world. Bowen discussed his recent work on “Winter Heating and Air Pollution in China” – more information can be found here: Bowen’s slides can be found below:

Coming Soon

We will feature case studies on the presenters’ research in future blog posts. The first one on Claire’s research is available here: