Opportunities and Challenges for GORE in the era of Learning-based AI: iStar 2024 Panel Report
- Travis D Breaux,
- Giancarlo Guizzardi,
- Eric Yu,
- Amal Ahmed Anda,
- Sotirios Liaskos,
- Carnegie Mellon University,
- University of Twente,
- University of Toronto,
- University of Ottawa,
- York University,
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Host publication Subtitle
Proceedings of the 17th International iStar Workshop (iStar 2024) co-located with the 43rd International Conference on Conceptual Modeling {(ER} 2024), Pittsburgh, Pennsylvania, October 28, 2024Original language
EnglishPages from-to (Number of pages)
Pages 37-42 (6 pages)Publication milestones
- Published - 2024
Publication status
Published - 2024
Volume
3936Publisher
CEUR Workshop ProceedingsPublication IDs
- Scopus: 105000821181
Host publication title
CEUR workshop proceedingsAbstract
The following discussion paper summarizes the results of a panel discussion conducted on October 28, 2024 at the 17th iStar International Workshop, co-located with the International Conference in Conceptual Modelling (ER) in Pittsburgh, PA, United States. The panelists included Travis D. Breaux from Carnegie Mellon University, US, Giancarlo Guizzardi from the University of Twente, The Netherlands, and Eric Yu from the University of Toronto, Canada. The panel was moderated by Elda Paja from the IT University of Copenhagen, Denmark.
Access to documents
Final published version
License:CC BY, opens in new tab
Related Event
Title
International Conference on Conceptual Modeling
Event type
ConferenceDegree of recognition
International eventDate
28/10/2024 - 31/10/2024Location
PittsburghUnited States