Publication
Tri-Collab: a machine learning project to leverage innovation ecosystems in Portugal
| dc.contributor.author | Marujo, Ângelo | |
| dc.contributor.author | Afonso, Bruno | |
| dc.contributor.author | Martins, Inês | |
| dc.contributor.author | Pires, Lisandro | |
| dc.contributor.author | Fernandes, Silvia C. Pinto de Brito | |
| dc.date.accessioned | 2025-06-26T12:12:56Z | |
| dc.date.available | 2025-06-26T12:12:56Z | |
| dc.date.issued | 2025-05-20 | |
| dc.description.abstract | This project consists of a digital platform named Tri-Collab, where investors, entrepreneurs, and other agents (mainly talents) can cooperate on their ideas and eventually co-create. It is a digital means for this triad of actors (among other potential ones) to better adjust their requirements. It includes an app that easily communicates with a database of projects, innovation agents and their profiles, and the originality lies in the matching algorithm. Thus, co-creation can have better support through this assertive interconnection of players and their resources. This work also highlights the usefulness of the Canvas Business Model in structuring the idea and its dashboard, allowing a comprehensive view of channels, challenges and gains. Also, the potential of machine learning in improving matchmaking platforms is discussed, especially when technological advancements allow for forecasts and match people at scale. | eng |
| dc.identifier.doi | 10.3390/bdcc9050139 | |
| dc.identifier.issn | 2504-2289 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/27302 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | MDPI | |
| dc.relation | Research Center for Spatial and Organizational Dynamics | |
| dc.relation.ispartof | Big Data and Cognitive Computing | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Innovation | |
| dc.subject | Machine learning | |
| dc.subject | Digital platform | |
| dc.subject | Collaboration | |
| dc.subject | Co-creation | |
| dc.title | Tri-Collab: a machine learning project to leverage innovation ecosystems in Portugal | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Center for Spatial and Organizational Dynamics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FSOC%2F04020%2F2019/PT | |
| oaire.citation.issue | 5 | |
| oaire.citation.startPage | 139 | |
| oaire.citation.title | Big Data and Cognitive Computing | |
| oaire.citation.volume | 9 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Fernandes | |
| person.givenName | Silvia C. Pinto de Brito | |
| person.identifier | 1588711 | |
| person.identifier.ciencia-id | 9217-B2AC-769A | |
| person.identifier.orcid | 0000-0002-1699-5415 | |
| person.identifier.scopus-author-id | 36720504700 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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