Elsa Cardoso is an Associate Professor at ISCTE- Instituto Universitário de Lisboa (ISCTE-IUL), in the Information Science and Technologies Department of the School of Technology and Architecture, and the director of the master program in Integrated Business Intelligence Systems. She is a researcher at the Centre for Research and Studies in Sociology (CIES-IUL) and at the Information and Decision Support Systems Group of INESC-ID Lisboa, Portugal. She has a PhD (European Doctorate) in Information Sciences and Technologies from ISCTE-IUL, with a specialization in Business Intelligence. Her research interests include business intelligence and analytics, data visualization, data warehouse, and strategic information systems (Balanced Scorecard) applied to Higher Education and Healthcare. She is a member of the Business Intelligence Special Interest Group of EUNIS (European University Information Systems organization). She was the leader of this SIG from 2013 until 2019. Since 2022, she is also a member of the Enterprise Architecture SIG of EUNIS, working on capability maturity models for Higher Education. She has participated in several national and international research projects. She is currently working on the following projects: xSHARE: Expanding the European EHRxF to share and effectively use health data within the EHDS (101136734 - Horizon-HLTH-2023-IND-06) [2023-2026] National Programme for Open Science and Open Research Data (PRR). [2024-2026]   Projects already finalized: Study for the knowledge of fraud in the structural funds in Portugal (POAT-01-6177-FEDER- 000126). Principal Investigator. [2022-2023] Digital Transformation in Research: Science Management and Open Science (POCI-05-5762-FSE-000438). [2021-2023] MAIPro – Project Non-compliance Monitoring and Alert (06/POAT/2021). [2022-2023] IRIS – Summarizing and Informing Decisions: Application of Artificial Intelligence Techniques at the Supreme Court of Justice. Researcher, integrating the INESC ID team. [2021-2022] Healthcare Insight – Units Performance Management (HI-UPM/2014/38567; FEDER-QREN). Principal Investigator from Iscte. [2014-2015] GRADUA – Graduates Advancement and Development of University capacities in Albania (Erasmus+ project No. 585961-EPP-1-2017-1-AL-EPPKA2-CBHE-SP (2017 -2926/001 -001). [2019-2021] iLU – Integrative Learning from Urban Data (DSAIPA/DS/0111/2018). Researcher, integrating the INESC ID team. [2018-2022] IA-Incentivos – Artificial Intelligence in Incentive Management (POCI-05-5762-FSE-000231). [2020-2021] https://ciencia.iscte-iul.pt/authors/elsa-cardoso/cv  

Eugénio Ribeiro is an Assistant Professor in the Department of Information Science and Technology (ISTA) at ISCTE - University Institute of Lisbon and a researcher at INESC-ID Lisboa. He obtained his BSc (2010), MSc (2012), and PhD (2023) degrees in Computer Science and Engineering from Instituto Superior Técnico, with his PhD being awarded with distinction and honor. His research interests encompass a broad range of topics in Artificial Intelligence and Machine Learning, with a primary focus on Natural Language Processing. He has contributed to multiple research projects and authored several publications in international journals and scientific events. He has been recognized for his research and teaching skills through best paper awards, top placements in research challenges, and teaching excellence awards. Additionally, he has been actively involved in organizing scientific events, serving as a reviewer, participating in knowledge-transfer projects, supervising students, and providing training in various contexts.

Ricardo Ribeiro (PhD) is an Associate Professor at Iscte - Instituto Universitário de Lisboa, where he is the coordinator of the Artificial Intelligence scientific area, and an integrated researcher at INESC-ID Lisboa, working on Human Language Technologies. His current research interests focus on high-level information extraction from unrestricted text, speech or music, and improving machine-learning techniques using domain-related information. He has participated in several European and Nationally-funded projects and was the Human Language Technologies INESC-ID team coordinator in RAGE (2015-2019) European-funded project and the principal investigator of a Ministry of National Defence funded project on information extraction from text. He has participated in several scientific events, either as organiser or as member of the program committee (IJCAI, ICASSP, LREC, Interspeech) and was the editor of a book on the computational processing of Portuguese.