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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.

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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.

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Learning Graphical Models in High-Dimensional Settings


Name Institution
Evans, Robin University of Oxford
Massa, Sofia University of Oxford
Scutari, Marco University of Oxford

The purpose of this workshop is to help meet the theoretical, methodological and applied challenges in extending graphical models to higher dimensional settings. It has two major objectives:

  1. To promote the development of new cutting-edge research at the interface of theory, modelling and applications for multivariate dependences to face the challenges presented when trying to model complex multivariate data sets. This will happen through an extensive exchange of ideas between leading researchers who use multivariate modelling in applied contexts on the one hand (for example in biology, genomics, medicine, social science), and leading experts in the theoretical aspects of graphical models on the other.

  2. To stimulate the collaboration between researchers from different institutions, in particular to provide opportunities for young researchers to establish new collaborations and partnerships.

This workshop will provide outstanding training, learning, and collaboration opportunity for all participants, especially for young researchers. The UK community, and particularly students and PostDocs, will specifically benefit from the presence of experts based
outside the UK. The main impact will be through the bringing together of disparate strands of the community. Theoreticians will benefit from seeing and discussing the latest inferential problems in applied areas, and new statistical methodology; this will inform their future research directions. Those at the applied end of the spectrum will be able to see the latest developments in theory and computation, and use it to develop new methods for their datasets. We anticipate that the meeting will help to form important new collaborations in this rapidly developing field.


To be announced


To be announced

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09:00 – 17:00
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15 South College Street


United Kingdom


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