Systematizing serendipity for big science infrastructures: The ATTRACT project. (August 2022)
- Record Type:
- Journal Article
- Title:
- Systematizing serendipity for big science infrastructures: The ATTRACT project. (August 2022)
- Main Title:
- Systematizing serendipity for big science infrastructures: The ATTRACT project
- Authors:
- Wareham, Jonathan
Pujol Priego, Laia
Romasanta, Angelo Kenneth
Mathiassen, Thomas Wareham
Nordberg, Markus
Tello, Pablo Garcia - Abstract:
- Abstract: Big Science Research Infrastructures (BSRIs) are tremendous sources of 'deep-tech' with the potential to foment alternative commercial applications in diverse industries. Yet, cultivating novel applications of BSRI technologies is not straightforward due to misalignment between their scientific mission, large technological risks, market uncertainties, and long development times. Given these challenges, research is needed to understand if- and how-serendipitous innovations can be purposefully developed from BSRIs. In this study, we analyse ATTRACT, a novel initiative funded by the European Commission's Horizon 2020 program, which funded 170 projects with €100, 000 each to develop a proof-of-concept commercial application of BSRI technologies within one year. Our analysis of this dataset identifies three modes employed by researchers to come up with alternate applications: (1) combining different technologies, (2) applying technology into a different field, and (3) using artificial intelligence or machine learning. In a second step, we conducted multinomial logistic regressions using the project data, expert evaluations, and a questionnaire to identify the antecedents associated with the pursuit of each of the three modes. Our findings suggest that scientists and engineers develop many new ideas about novel potential applications of BSRI technologies in their daily work. The main value of ATTRACT is in facilitating project development through financial resources,Abstract: Big Science Research Infrastructures (BSRIs) are tremendous sources of 'deep-tech' with the potential to foment alternative commercial applications in diverse industries. Yet, cultivating novel applications of BSRI technologies is not straightforward due to misalignment between their scientific mission, large technological risks, market uncertainties, and long development times. Given these challenges, research is needed to understand if- and how-serendipitous innovations can be purposefully developed from BSRIs. In this study, we analyse ATTRACT, a novel initiative funded by the European Commission's Horizon 2020 program, which funded 170 projects with €100, 000 each to develop a proof-of-concept commercial application of BSRI technologies within one year. Our analysis of this dataset identifies three modes employed by researchers to come up with alternate applications: (1) combining different technologies, (2) applying technology into a different field, and (3) using artificial intelligence or machine learning. In a second step, we conducted multinomial logistic regressions using the project data, expert evaluations, and a questionnaire to identify the antecedents associated with the pursuit of each of the three modes. Our findings suggest that scientists and engineers develop many new ideas about novel potential applications of BSRI technologies in their daily work. The main value of ATTRACT is in facilitating project development through financial resources, brokering relationships with industrial partners, and facilitating the applications of technologies in domains outside of the immediate purview of BSRIs. … (more)
- Is Part Of:
- Technovation. Volume 116(2022)
- Journal:
- Technovation
- Issue:
- Volume 116(2022)
- Issue Display:
- Volume 116, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 116
- Issue:
- 2022
- Issue Sort Value:
- 2022-0116-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-08
- Subjects:
- Big science -- Serendipity -- Deep tech -- Innovation policy
Technological innovations -- Periodicals
Industrial management -- Periodicals
Innovations -- Périodiques
Gestion d'entreprise -- Périodiques
Electronic journals
658.57 - Journal URLs:
- http://www.sciencedirect.com/science/journal/01664972 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.technovation.2021.102374 ↗
- Languages:
- English
- ISSNs:
- 0166-4972
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8761.150000
British Library DSC - BLDSS-3PM
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- 22586.xml