Training: An Introduction to Knowledge Exchange (KE) in the Mathematical Sciences

24 November 2023

The KE Hub will be running the following online training course for doctoral students at our partner universities.

An Introduction to Knowledge Exchange (KE) in the Mathematical Sciences
Course dates: 3rd and 5th of January 2024 (online)
Application deadline: Midnight 12th December 2023. (max. number of participants is 30, early registration encouraged)
Notification of outcome & pre-reading materials issued: 18th December 2023
Eligibility: UK Mathematical Sciences doctoral students
Fee:  covered by the KE Hub
Register herehttps://forms.office.com/e/aagrFj7wM8

This highly participative short course covers the essentials of good knowledge exchange in the mathematical sciences. It focuses on developing skills relevant to the whole process of using mathematics to solve real-world problems, including problem formulation, active listening, effective communication, and expectation management. It will also cover how to present results and conclusions to a non-specialist audience in a clear and persuasive way.

In this course, participants will learn about how knowledge exchange happens in practice. We will discuss the various mechanisms by which this can occur such as Study Groups with Industry, collaborative projects, and internships, using examples drawn from our own experience. We will also briefly cover the preliminary step of convincing an industrial problem owner that it is worthwhile discussing their problem with a mathematician.

The material will be taught using a combination of short seminars, group work exercises, discussion, and guest talks by practitioners with experience of working in both industrial and academic environments. The group work exercises will take the form of problem-based case studies, for example, summarising the key messages from reports of successful engagements with industry, investigating a dataset and presenting the actionable conclusions of that analysis, and pitching for further work.

The course is aimed at doctoral students. A small amount of pre-course reading will be issued in advance.

Please send any questions to the KEHub@newton.ac.uk