Laia Pujol Priego
Biographic Data
| ID | 6506718 |
|---|---|
| NAME | Laia Pujol Priego |
| GIVEN NAMES | Laia Pujol |
| FAMILY NAME | Priego |
| SIGNATURE | PRIEGO L P |
| AFFILIATIONS | Universitat Ramon Llull |
| ORCID | 0000-0001-6796-729X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Deep Tech, Big Science, and Open Innovation
Big Science Research Infrastructures (RIs) have a strong track record of producing “deep-tech,” which has transformed industries and society. Yet, cultivating novel applications from these RIs is not straightforward due to often misaligned priorities with industry partners and the inherent technical complexity and market uncertainties in their technologies. Open Innovation (OI) provides a framework to address these challenges and nourish a mutual…
Archetypes of Open Science Partnerships
Open Science Partnerships (OSPs) are gaining attention as alternatives to university–industry collaborations with restrictive IPR and knowledge sharing policies. OSPs have different expected outcomes and deploy varying means to reach them. Appreciating these differences is crucial to understanding their scientific and socio-economic impact, and yet these differences have never been systematically investigated. This exploratory study draws on qual…
Transparency in policy making
Transparency in policy making
Deep Tech, Big Science, and Open Innovation
Big Science Research Infrastructures (RIs) have a strong track record of producing “deep-tech,” which has transformed industries and society. Yet, cultivating novel applications from these RIs is not straightforward due to often misaligned priorities with industry partners and the inherent technical complexity and market uncertainties in their technologies. Open Innovation (OI) provides a framework to address these challenges and nourish a mutual…
Archetypes of Open Science Partnerships
Open Science Partnerships (OSPs) are gaining attention as alternatives to university–industry collaborations with restrictive IPR and knowledge sharing policies. OSPs have different expected outcomes and deploy varying means to reach them. Appreciating these differences is crucial to understanding their scientific and socio-economic impact, and yet these differences have never been systematically investigated. This exploratory study draws on qual…
Computer Science (3 works) · Data science (2 works) · Knowledge management (2 works) · Academic Publishing and Open Access (1 work) · Ambiguity (1 work) · Archetype (1 work) · Art (1 work) · Auction Theory and Applications (1 work) · Big data (1 work) · Big Data and Business Intelligence (1 work)