Cultivating collaboration: innovation leaders from industry and academia

Collaboration between industry and academics is essential for technological advancement and innovation and can be the key for developing a qualified workforce. Benefitting both parties, these collaborations ensure that industry obtains skilled workers with practical training and specialised expertise, while universities have the chance to work on emerging technologies and problems. We caught up with our 2019 winner Professor Maddy Parsons and 2020 winner Professor Matthew Dalby of the Industry and Academic Collaboration Award, to hear more about how their industry collaborations are leading to cutting-edge biological discoveries.

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Publication Details

Journal
The Biochemist
Published
2024-09-17
DOI
https://doi.org/10.1042/bio_2024_894
Citations
1
Primary Topic
University-Industry-Government Innovation Models
Type
article
Field-Weighted Citation Impact
0.73
Controls
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article

Cultivating collaboration: innovation leaders from industry and academia

Lucy Ollett, Michael Kossifos
1 citations
The Biochemist
University-Industry-Government Innovation Models
0.73
article

Cultivating collaboration: innovation leaders from industry and academia

Lucy Ollett, Michael Kossifos
article en
1 citations

Abstract

Collaboration between industry and academics is essential for technological advancement and innovation and can be the key for developing a qualified workforce. Benefitting both parties, these collaborations ensure that industry obtains skilled workers with practical training and specialised expertise, while universities have the chance to work on emerging technologies and problems. We caught up with our 2019 winner Professor Maddy Parsons and 2020 winner Professor Matthew Dalby of the Industry and Academic Collaboration Award, to hear more about how their industry collaborations are leading to cutting-edge biological discoveries.

The BiochemistVol. 46(4)
Biochemical Society (GB)
Openalex Percentile: Top 23%
University-Industry-Government Innovation Models
0.73
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