RepositoryPlease use this identifier to cite or link to this item:
http://hdl.handle.net/11366/2656| Title: | The AI4CRIS working group: Leveraging Artificial Intelligence to Enhance Research Information Systems | Authors: | Guillaumet, Anna Hartmann, Simone Lopes, António Luís |
Keywords: | current research information systems;artificial intelligence;large language models;working groups;euroCRIS | Issue Date: | 28-Nov-2024 | Publisher: | euroCRIS | Conference: | Strategic Membership Meeting 2024 – Autumn (Paris) | Abstract: | Following the productive discussions at the CRIS2024 conference session on AI and CRIS systems, we have launched the AI4CRIS working group. This initiative, coordinated by euroCRIS, aims to explore and implement AI-driven solutions to enhance CRIS functionalities. Our key objectives, which will be refined based on the input and expertise of our members, include: |
Description: | 21 slides.-- Presentation delivered within session "Contributions from euroCRIS members (III)" on Day II of the euroCRIS SMM2024 in Paris.-- Includes extended abstract |
URI: | http://hdl.handle.net/11366/2656 |
| Appears in Collections: | Conference |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Guillaumet-Hartmann-Lopes_SMM24_AI4CRIS-working-group.pdf | Extended abstract (PDF) | 73.7 kB | Adobe PDF | View/Open |
| AGuillaumet_SMM2024_AI4CRIS-working-group_presentation.pdf | Presentation (PDF) | 1.06 MB | Adobe PDF | View/Open |
Page view(s)
50
checked on Jan 11, 2025
Download(s)
22
checked on Jan 11, 2025
Google ScholarTM
Check
Items in DSpace are offered under a CC-BY 4.0 licence unless otherwise indicated