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Research Excellence Framework 2021
Research Excellence Framework 2021 Panel Membership Announced

Impartiality in AI and Machine Learning
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Only 4% of mathematics professors in the UK are female

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Examine the musical mood of the nation when contemplating changes to the Bank’s interest rate


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A window on the world of O.R.?
The “invisibility cloak” of science fiction is now fact, albeit with limitations. O.R. could claim to have had the power of invisibility for years, though not by desire; what we want is the opposite - a high-visibility jacket! Indeed, part of the mission of the OR Society is to help make our presence more visible. But perception involves both the observed and the observer. And all of us have open and hidden parts.

YOR18 – OR – A Twenty Twenty Vision
The 18th Young [to] OR Conference got off to a great start with the plenary session given by the President of the OR Society, Dr Geoff Royston. Antuela Tako, the chair of the organising committee, began the proceedings by telling the audience what had been planned for them and how to find out more about streams.

The Education & Research Committee
- Roles and Responsibilities: Brian Dangerfield (Liaison with ESRC)
Ruth Kaufman, Inside OR February 2013

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Posted on 30 October 2017

Artificial Intelligence

AI and analytics

Recently the importance of artificial intelligence has become mainstream in discussions about machine intelligence, machine learning, neural networks and cognitive computing – areas in which operational research is involved.

In the past few years it has become increasingly clear that AI is an excellent partner for one of O.R.’s core skills – analytics. Indeed, it could be said that the world of big data we now inhabit and the large-scale adoption of analytics technologies has helped to increase awareness of artificially intelligent applications that act autonomously with seemingly human-like intelligence.
It is not difficult to see why AI is enjoying a ‘rejuvenated trend’ either. The 3 v’s of big data?: velocity, variety and volume. Platforms that can process all three v’s with modern and traditional processing models that scale horizontally provide 10-20X cost efficiency over traditional platforms – AI can help analytics do this.
In January 2017, Forbes magazine published an article by Brent dykes entitled, ‘crawl with analytics before running with Artificial Intelligence’. It was interesting from the perspective that initial viewing of it seemed to imply that AI was going to take over from analytics as the next best thing in business, but on closer inspection – it suggested that it was time to, “skip traditional analytics and jump right into AI”.