Bear on Tour!

We thought it would be really interesting to find out more about our researchers and how they use BEAR services, so what better way to do this than be interviewed by a bear! So, our first interviewees are Professor Dagmar Divjak and Professor Petar Milin from Modern Languages in CAL. Q1 – Tell me about … Continue reading “Bear on Tour!”

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Street-scale resolution air quality modelling for the West Midlands

In this case study, we hear from Jian Zhong (Geography, Earth and Environmental Science), whose research has been making use of BlueBEAR.   I am a Research Fellow in Urban Air Quality Modelling in the Geography, Earth & Environmental Science. My research has focused on urban air quality modelling, urban boundary layer meteorology, computational fluid dynamics, large-eddy simulation of … Continue reading “Street-scale resolution air quality modelling for the West Midlands”

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Crystal structures in the BEAR Cloud

In this case study, we hear from Professor Andrew Morris (School of Metallurgy and Materials), whose research group has been making use of BEAR Cloud to aid discovery. My research group  predicts the crystal structure of materials. Experimental discovery of new functional materials can be slow, difficult and expensive.  Computational Structure Prediction allows us to … Continue reading “Crystal structures in the BEAR Cloud”

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Measuring Brexit Uncertainty: A Machine Learning and Textual Analysis Approach

Duiyi Dai (Claire), a PhD student from the Department of Economics, describes below how BlueBEAR is essential for her research into quantifying Brexit uncertainty, reducing the time spent running her analysis from two months on her own device to just one day! What is your research about? The term “Brexit” was first used in May … Continue reading “Measuring Brexit Uncertainty: A Machine Learning and Textual Analysis Approach”

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The saving grace ( well on Git )

In this case study, we hear from Dr Catherine Smith, a Research Fellow and Technical Officer in the Institute for Textual Scholarship and Electronic Editing (ITSEE), who has been making use of BEAR’s code management platform, BEAR GitLab, to enable her to support researchers using online editing tools to transcribe texts. At that time the … Continue reading “The saving grace ( well on Git )”

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Machine Learning and AI use in Business & Economics

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 … Continue reading “Machine Learning and AI use in Business & Economics”

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BEAR Champion team expansion!

In September 2019, we launched our BEAR Champion scheme to help spread the word about BEAR services, and the team has now expanded to 16 over all 5 colleges – see our list of BEAR Champions. In the last year, we have welcomed 6 new BEAR Champions – at least one from each College: Jack … Continue reading “BEAR Champion team expansion!”

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Predicting weather impacts using GPU-accelerated high-performance computing

You may not be aware, but all researchers at the University of Birmingham can request access to our Tier-2 (national) supercomputer, Baskerville. Dr Xilin Xia from the School of Civil Engineering describes below how Baskerville is essential for his research into predicting flooding… What is your research about? Due to Climate Change, we are seeing … Continue reading “Predicting weather impacts using GPU-accelerated high-performance computing”

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