KTN's online platform helps you to make the connections you need


The Knowledge Transfer Network (KTN) has refreshed its online platform to intelligently connect you to relevant events, funding, thought pieces and specialist staff to help your business innovate and grow.

You can discover content using your area of interest, from ICT to transport; from space to health – all major UK economic sectors are covered. Once you have selected your interests, using our intelligent tagging system, we will then display rich and relevant content related to your area, often from surprising sources.

An example might be new satellite technology from the space sector that is applicable in the agri-food sector. KTN-UK.co.uk will help you form these unusual and valuable connections.

All content on the platform has been carefully curated by our team of innovation specialists – not by an automated algorithm – so you can be confident that KTN is connecting you to the most relevant cutting-edge information.


The move also marks a closer alignment with our main funder, Innovate UK , with the website branding making a clear visual link. Knowledge Transfer Network is Innovate UK's innovation network partner, and also works with other funders to provide innovation networking services and fulfil our mission to drive UK growth.

We link new ideas and opportunities with expertise, markets and finance through our network of businesses, universities, funders and investors. From agri-food to autonomous systems and from energy to design, KTN combines expertise in all sectors with the ability to cross boundaries. Connecting with KTN can lead to potential partners, horizon-expanding events and innovation insights relevant to your needs.

Visit our people pages to connect directly with expertise in your sector.

Visit the KTN refreshed online platfom here


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Accelerating the Acceptance of Mathematical Models as Evidence in Safety and Efficacy Decision Making

Can the use mathematical modelling for safety and efficacy decision making in the biosciences be accelerated?


Mathematical modelling is an important tool for solving biological questions and providing new insights that can benefit science and medicine. These models provide the opportunity to vary the experimental parameters involved and to predict what effects different parameters will have on the system.

Great strides have been made to incorporate mathematical modelling in the development of new products across the biosciences (drugs, chemicals, consumer products, etc.), but significant barriers still remain in acceptance of this data for decision making.

Bringing together scientists from across sectors and disciplines, the meeting will:

  • Highlight capabilities and opportunities in mathematical modelling in the biosciences;
  • Present challenges faced by the biosciences community that could benefit from mathematics being applied to them;
  • Connect life scientists with mathematicians to encourage collaboration in model development;
  • Define a future landscape for supporting the acceptance of mathematical modelling in safety and efficacy decision making.

For further information, to submit poster abstracts and to register to attend visit


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