The GAMM Annual Meeting 2020 hosted at the University of Kassel. in Germany.

The title of the talk was: Algorithmic Approach to Strong Consistency Analysis of Finite Difference Approximations to PDE Systems

Unfortunately, because of concerns about the CoVid-19 virus, the conference has been cancelled.

]]>The main organizer for the event is Dr. Vincent Drach.

]]>to publish a paper in the journal Transportation Research Part F: Traffic Psychology and Behaviour entitled “Evaluating the effectiveness of a young driver-education intervention: Learn2Live”. This paper reports that

a fear-based road safety intervention had an effect on decreasing young drivers’ attitudes towards risky driving and that young drivers preferred a peer-led educational road safety intervention experience, rather than

an adult-led intervention experience. ]]>

- An exact algorithm for small-cardinality constrained portfolio optimisation, with authors: David Graham and Matthew Craven
- Identifying good algorithm parameters in evolutionary multi- and many-objective optimisation: A visualisation approach, with authors: David Walker and Matthew.Craven

The common theme linking both papers is the use of randomised algorithms in optimization problems.

]]>the IMA/RSS, to organize a 1 day workshop on developing curriculum in

mathematical sciences with employers. The website for the workshop is here. ]]>

There were talks by graduates of the school of mathematics and other industry representatives, which gave insight into their careers and advice to the current students.

There were two workshops at the conference

Secrets of successful assessment centres with Babcock International

Get the measure of psychometric tests:

]]>Comprehensive Analysis of Innovate Activities in Science and Technology

Date/Time: Wednesday, 29 January 2020, 4pm,

Li Zhang, Yunnan University, China

The purpose of this research is to provide a set of statistical methods for administrative authority who organizes and evaluates innovate activities in science and technology. Statistical methods can be used to describe innovate activities, evaluate the innovators, and extract information from the large and sparse data, in order to help administrative authority to develop effective science and technology policy.

With a case study on the evaluation of 31 districts in China, this research includes the following aspects:

· Establish an indicator system about innovate input, output and environment.

· Describe the quantitative features of indicators by data visualization and summary statistics.

· Create composite indicators to evaluate the innovate activities across 31 districts in China.

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