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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.

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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Engaging People in Data Privacy Open for Business Event


People generally recognise that there are many social benefits to be derived from big data analytics, in scientific and medical research, evidence based policy and decision making and improved consumer products and services. The technological transformation of the last two decades has seen an explosion in the myriad of ways in which data can be generated and used by governments, companies, and individuals. In the last decade there has been a huge increase in the amount of information people share through digital media and the last five years the advent of data science companies such as Uber and AirBnB who have built global brands through the targeted processing of data. These trends are set to continue and define the first half of the People generally recognise that there are many social benefits to be derived from big data analytics, in scientific and medical research, 21st century.

Against this are the issues of privacy; evidence suggests that even though they are concerned about how their personal data is used, managing the privacy of their personal data isn’t something individuals put much thought or effort into. Part of the issue is disempowerment; the complexity of the new data environment, the variation in practice across and within sectors and the breakneck pace of technological change all lead to radical passivity; an average citizen is they are hazy about what privacy is with the term being used in different contexts to mean different things and even if they do have a clear idea about what privacy means to them they are unclear about what actions they could take to protect it across a range of different contexts and indeed whether these would make any practical difference. Other issues are more technical – how do we provide the infrastructure that will enable citizens to be proactive about their privacy without burdening them with impractical fifty page privacy policies?

The challenge here is inherently interdisciplinary with contributions necessary from computer scientists, mathematicians, sociologists, educationalists, lawyers, ethicists and philosophers. In short it is a canonical data science problem.

In this context, this event, part of a week-long workshop on New Developments in Data Privacy, linked to the Isaac Newton Institute (INI) research programme on Data Linkage and Anonymisation, will highlight new approaches to informing and engaging the public to be functional ‘digital citizens’. It will showcase research and practice relevant to the area and will bring together experts with an audience of stakeholders to exchange knowledge and best practice. 

Register now  

Aims and Objectives

This one day workshop will explore new ways in which data subjects can take an active part in how their data are shared. An interdisciplinary blend of science and technology, social policy, psychology legal analysis will be presented. 

Presentations and discussion will explore how people think about privacy and how this interacts with the use of personal data. They will investigate the mechanisms which need to be implemented to improve privacy of data and how the Big Data community can potentially help to address such issues. Presentations will be designed to be accessible to a broad audience and will cover area such as:

  • The Public understanding of privacy
  • Multifaceted models of privacy
  • Consent management
  • Personal data stores
  • Digital citizenship
  • Economic approaches to privacy

Session two of the programme will include short talks from data holders on perspectives and the challenges they face and the day will finish with a facilitated panel discussion. 

The event will be of interest to a wide range of communities including data holders, privacy practitioners and researchers, IT professionals across all sectors health providers, retailers, the financial sector, market and social research companies, government; indeed anyone who has an interest in the future of data privacy.

Registration and Venue

Registration is free of charge. Please use this link to register your interest.

The workshop will take place at the Isaac Newton Institute, Cambridge. Please see the link for directions to the venue.

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Date and time

Start Date :
End Date:
Duration :
09:00 – 17:00
Type :

Organiser details

Organiser :
Turing Gateway to Mathematics

Address details

Address : 

Isaac Newton Institute

20 Clarkson Road


United Kingdom


Website: :
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