|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Workshop on Open Innovation: Swimming with Big Fish - get paid to Innovate!
If you have a question about this talk, please contact enquiries.
To an entrepreneurship-oriented individual wondering how to DO BUSINESS WITH BIG COMPANIES , approaching large corporations can be intimidating, especially given the legal issues that could make collaboration overwhelming. On 12th November, CUTEC hosted a workshop on the general theme of OPEN INNOVATION , targeting postgraduates, researchers, and entrepreneurs, under the title “Swimming with the Big Fish… Get Paid to Innovate!”
The event, arranged in conjunction with the Greater Cambridge Partnership and sponsored by the Northrop Grumman and Angel News companies, consisted of a 50 minute panel discussion, followed by a 10 minute Q&A session and then a whole hour of networking over wine and snacks. The following individuals coming from different backgrounds will provide their complementary insight into how one can build partnerships with big companies and how to avoid common pitfalls:
Billy Boyle (Owlstone): Small Firm Delegate
Ruth Thomson (Kodak): Large Firm Delegate
Jason Pinto (Amadeus Capital Partners): Investor
Tim Worden (Taylor Wessing): Lawyer
Tim Minshall (Institute for Manufacturing): Moderator
This talk is part of the Cambridge University Technology and Enterprise Club (CUTEC) series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsPhysical Biology seminars What is Life? Science and Society evening Stokes Society, Pembroke College
Other talksCall My Bluff Disablitly and Austerity: Shifting Perspectives Higher gradient integrability for $\sigma$-harmonic maps in dimension two Experiments with internal solitary waves in stratified fluids Exploring neural correlates of object formation in Auditory Cortex Prefrontal neuronal activities reflecting capacity constraints and emergent flexibility of cognition in varying-load working memory tasks