We are pleased to present the Annual Survey Executive Data Report with the data provided by respondents for Financial Year (FY) 2020. This report draws on data from 565 Knowledge Transfer Offices (KTOs) across 24 countries.
Speaker, Koen Verhoef, will be discussing conceptual and procedural aspects of providing such data access and will share details on the commercial terms of a number contracts that we have negotiated with Artificial Intelligence and Machine Learning companies. As this is a relatively new aspect that KTOs are dealing with, we aim to make this an interactive session and hope that participants are willing to share their own experiences on this topic.
Freddy Guemeni is Head of IP services, University of Manchester Innovation Factory. Freddy has more than 10 years experience in intellectual property management, helping to drive progress and innovation in research. His broad experience includes roles at the National Institute for Health Research and Imperial Innovations. He is also a guest lecturer at multiple universities, including Imperial College London.
The presentation illustrates the impact of using open-source software in the different phases of the entrepreneurship journey, from academic research to the commercialisation of the product, passing through technology transfer.
This Special Interest Group (SIG) helps new professionals navigate the diverse set of opportunities and resources available to them in the K/TT field to successfully support their professional development.
Malcolm Bain and Florian Kirschenhofer, two of the coordinators of the DI SIG discuss specific challenges for digital start-ups, including IP identification, protection and licensing models, business models, key issues for tech transfer agreements, and ongoing collaboration with university.
How decentralised food systems can leverage innovation ecosystems to achieve paradigm shifts
Sub-licensing: horror scenarios and how to avoid them.
Yes, we can't. Making sense of the Research Exemption in Patent Law
Forget the guesstimate: a statistics-based approach to royalty structuring and quantifying
Definitions of equality, diversity and inclusion (EDI) terms used by UK Research and Innovation (UKRI).
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