Research in the Mathematical sciences is a key element for the advancement of all areas of science and technology, as well as being a vital area of science in itself. Our aim is to sustain core research capability, while promoting transformative and cross-disciplinary research that has the potential for significant impact.

The Mathematical sciences portfolio will be actively shaped by considering the need to maintain an excellent and effective capability in Mathematics and the needs of other disciplines and non-academic research users. In order to do this effectively, we will need to reduce support in lower priority areas.

We will continue to encourage the development of improved connections with other disciplines and industry to ensure that the significance and relevance of the mathematical sciences is recognised and exploited. We will focus initially on initiatives to enhance the contribution of advanced and novel mathematical sciences to the UK Research and Innovation challenge themes.

We will look to create the most effective balance across mathematical sciences between research, training and people support (including fellowships), along with underpinning support to facilitate community interactions. Our initial areas for growth or reduction reflect a need to rebalance current research capacity in terms of people support.

Analysis and dialogue with the community and with universities will help us to build the evidence to shape the remainder of the portfolio effectively, taking account of the broader landscape and environment, and looking at current research capacity, together with future needs and opportunities for UK mathematical sciences. Particular activities to shape the portfolio will also include:

  • Reviewing the support of PhD and career development training to ensure that we deliver high quality PhD training
  • Investigating the people pipeline across Mathematical sciences, including support for current and potential research leaders
  • Facilitating international activities to explore additional connections and new approaches