A machine-learning approach for a CRIS research outputs’ SDG classifications
Author(s)
Issue Date
November 23, 2023
Publisher
euroCRIS
Type
Presentation
Abstract
This presentation takes stock of the methodologies that have been applied to the assessment of research outputs as they relate to the SDGs, in our institutional CRIS, Ciência-IUL. In particular, we focus on the machine-learning-based approach that was employed in the CRIS to help researchers choose the right SDGs to be associated with their research outputs (including publications and projects).
Description
20 slides.-- Presentation delivered by António Lopes within session "Contributions from euroCRIS members".-- Includes extended abstract submitted to the event
URI
https://dspacecris.eurocris.org/handle/11366/2502
File(s)![Thumbnail Image]()
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Name
euroCRIS_SMM2023Pamplona_ALopes_A-machine-learning-approach.pdf
Description
PDF presentation
Size
1.08 MB
Format
Adobe PDF
Checksum (MD5)
d9577c2ba203927b4e8d64e2c8378e81
Name
euroCRIS_SMM2023-ISCTE-IUL-ALopes-extended-abstract.pdf
Description
Extended abstract
Size
778.64 KB
Format
Adobe PDF
Checksum (MD5)
3040eecdda2fa3be1a6e33f537fbaa7c
Conference(s)
