University industry collaborations in AI development Understanding the motivations of Swedish researchers
(2022) EKHS35 20221Department of Economic History
- Abstract
- Artificial Intelligence is an expansive topic that is receiving considerable amounts of attention and funding for research, as it has the potential to have a wide-ranging effect on work, business, and society. Following from this, actors of all types, universities, companies, and others are conducting research into AI, and investigating how they can make the best use of the technology and develop it as quickly, and efficiently as possible. As such, this thesis seeks to explore the motivations and drivers of university researchers collaborating with the private sector in AI work. This is a qualitative study relying on in-depth interviews and surveys of individual researchers to unveil motivations and impacts of collaborating with the... (More)
- Artificial Intelligence is an expansive topic that is receiving considerable amounts of attention and funding for research, as it has the potential to have a wide-ranging effect on work, business, and society. Following from this, actors of all types, universities, companies, and others are conducting research into AI, and investigating how they can make the best use of the technology and develop it as quickly, and efficiently as possible. As such, this thesis seeks to explore the motivations and drivers of university researchers collaborating with the private sector in AI work. This is a qualitative study relying on in-depth interviews and surveys of individual researchers to unveil motivations and impacts of collaborating with the private sector. The literature suggests a range of motivating factors for researchers to engage in collaboration, including access to resources and inspiration, which corresponds to the core findings of this study. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9101702
- author
- Renman, Gustaf LU
- supervisor
- organization
- course
- EKHS35 20221
- year
- 2022
- type
- H2 - Master's Degree (Two Years)
- subject
- language
- English
- id
- 9101702
- date added to LUP
- 2022-11-09 08:54:15
- date last changed
- 2022-11-09 08:54:15
@misc{9101702, abstract = {{Artificial Intelligence is an expansive topic that is receiving considerable amounts of attention and funding for research, as it has the potential to have a wide-ranging effect on work, business, and society. Following from this, actors of all types, universities, companies, and others are conducting research into AI, and investigating how they can make the best use of the technology and develop it as quickly, and efficiently as possible. As such, this thesis seeks to explore the motivations and drivers of university researchers collaborating with the private sector in AI work. This is a qualitative study relying on in-depth interviews and surveys of individual researchers to unveil motivations and impacts of collaborating with the private sector. The literature suggests a range of motivating factors for researchers to engage in collaboration, including access to resources and inspiration, which corresponds to the core findings of this study.}}, author = {{Renman, Gustaf}}, language = {{eng}}, note = {{Student Paper}}, title = {{University industry collaborations in AI development Understanding the motivations of Swedish researchers}}, year = {{2022}}, }