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Enterprise Academy

The Enterprise Academy

Increasingly, we are expected to create impact from the public funding that we receive. ​The Enterprise Academy exists to act as bridge between academia, businesses and social enterprises, helping to increase the reach and impact of the University's innovative endeavours both regionally, nationally and internationally.

Impact can take a number of different forms, including economic, health, social and environmental.  Often, impact comes from working with business and may result in a new product or service or bring about a socioeconomic or environmental benefit.

We have a professional Business Development and Enterprise team in place to direct our work with business and our case studies show just some of our successes.

From Newcastle. For Business.

The Enterprise Academy will provide training for colleagues around:

  • how to engage with commercial enterprises
  • different routes to commercialisation
  • understanding market forces
  • consulting/collaborating with business

We organise seminars and networking events, giving colleagues and industrialists the chance to network and exchange experiences in an informal setting. 

Business Engagement and Entrepreneurship: Bridging the Gap between Business and Academia

Newcastle University Enterprise Academy Café
1pm - 2pm, Wednesday 21 April 2021

Higher education, business and industrial research and development should help create individual prosperity, drive societal economic development and elevate the position of the UK in global commerce. However, several chronic and persistent disconnects between and within higher education and industry have created a gap that slows, stalls or even prevents progress.

This talk looks new ways of viewing some long-established procedures, systems and relationships, and the willingness to break with tradition for the betterment of both academia and industry.

Presented by Boguslaw Obara, Professor of Image Informatics in the School of Computing at Newcastle University whose research and business interests include image processing, pattern recognition, computer vision, data science and machine learning techniques applied to a wide range of domains, from biology, medicine and engineering to arts and humanities.