Fernando Batista received his PhD (2011) in Computer Science and Engineering from Instituto Superior Técnico (IST). He is currently Associate Professor at Iscte - University Institute of Lisbon, and integrated researcher at INESC-ID, Lisbon. He is the Executive Coordinator of the Human Language Technologies Scientific Area at INESC-ID (2021-), and member of the Supervisory Board of CVTT - Iscte-Conhecimento e Inovação (since Apr.2021). He was President of the Pedagogical Council of ISCTE-IUL  (2017-2019), member of the Permanent Committee of the Pedagogical Council of ISCTE-IUL (2015-2017), and member of the Pedagogical Committee of the ISTA School (2015-2017). He is the scientific coordinator of the AppRecommender (2019-2021) project, has coordinated the INESC-ID team in the SpeDial project (2014-2015), and participated in several other European and National projects. His current research focuses on spoken and written Natural Language Processing, Machine Learning, and Text Mining for social media. He has been member of the organisation team of the LxMLS - Lisbon Machine Learning Summer School (since 2016), and was also member of the LxMLS technical staff between (2011-2015). He has participated in the organisation of several scientific events: editorial co-chair of PROPOR 2020, editorial chair of EAMT 2020, web chair of the IPMU 2020, co-chair of the Human-Human languages track of SLATE 2019, co-chair of the demos session in PROPOR 2018, publication chair of IberSPEECH 2016, co-chair of the PROPOR 2016 Student Workshop, publication chair of IberSPEECH 2016, co-chair of the PROPOR 2016 Student Workshop, and handbook chair of EMNLP 2015. He is Senior Member of the IEEE (since 2016), and member of the ISCA Speech (since 2008).

Ana Catarina Nunes is an Assistant Professor at ISCTE-IUL. She has a PhD in Mathematics Applied to Economics and Management, a MSc in Operations Research, and graduated in Statistics and Operations Research. She teaches quantitative methods, namely Operations Research and Optimization. She has presented communications in several conferences, and has published in scientific journals such as the European Journal of Operational Research. Her research topics are operations research (combinatorial optimization), mainly on mathematical models and heuristics for the designs of routes and sectors for real applications in delivery and collection systems. In this context, she has been a researcher in projects supported by national funding from FCT (Fundação para a Ciência e a Tecnologia) focused on the efficient resource management in environmental services related to household refuse collection.

Ana Maria de Almeida has a Ph.D. in Applied Mathematics, with a specialization in Computer Science. Her research interests include Algorithmics, Complexity, Machine Learning and Pattern Recognition, Data Science, Evolutionary Computation, and Ethics for AI and Research. She also has a particular interest in the construction of self-adjusting predictive and reactive models for real applications, as well as in the development of evolutionary and hybrid strategies for tackling multicriteria combinatorial problems.  She participates and has participated in fundamental and applied research projects and research & innovation projects between academia and industry, both at national as well as international levels. 

António Lopes, Licenciate in Computer Science and Business Management (2002, ISCTE), MSc in Computer Engineering and Telecommunications (2006, ISCTE) and a PhD in Information Sciences and Technologies - Artificial Intelligence branch (2011, ISCTE-IUL), is an Assistant Professor in the Department of Information Science and Technology of the School of Technologies and Architecture at ISCTE-University Institute of Lisbon. Since 2015, he has been Director of ISCTE's Information Systems Development Services. His research activities began in 2000 at ADETTI's intelligent systems laboratory, where he participated in various national and international projects until the end of 2008. In January 2009 started his activities as researcher at IT-IUL (the research group of ISCTE-IUL's group at Instituto de Telecomunicações) until October 2025. Currently, he's a full member researcher at ISTAR_Iscte where he focuses on the application of Artificial Intelligence across other research areas. He is responsible for the Specialisation Seminar in Generative Artificial Intelligence in Teaching and Research for training teachers and researchers at ISCTE and coordinator of the course Academic Work with Artificial Intelligence, dedicated to training students in the ethical and responsible use of Generative AI.

Catarina Marques is an Associate Professor at the Department of Quantitative Methods for Management and Economics (DQMME) of Iscte Business School and a researcher of BRU-Iscte's Data Analytics Research Group. She has a BSc in Applied Mathematics, a MSc in Business Administration and a PhD in Quantitative Methods with a specialisation in Statistics and Data Analysis. Her main research has been centred on structural equation modelling. More recently she has used her experience and competencies to research in Data Science. Catarina participated in the development of the undergraduate programme in Data Science at Iscte, having been Director of the BSc in Data Science (2019-2023). Since November 2023, she has coordinated the Data Science specialisation of the PhD in Management. She has been a member of the PhD in Tourism Management Scientific Committee since February 2017. She was a member of Iscte'’s Pedagogical Council (2019-2021), and during 6 years, Catarina coordinated the 2nd year of the BSc in Management. She is currently an alternate member of Iscte’'s Scientific Council.

Diana E. Aldea Mendes is an associate professor at Department of Quantitative Methods for Management and Economics, ISCTE-IUL Lisbon, Portugal. She is a mathematician and applied scientist with broad experience in nonlinear dynamics (stochastic and deterministic), time series analysis, data science, ML and deep learning, computational economics and finance, control and synchronization. She is a researcher at BRU-IUL (Business Research Unit - University Institute of Lisbon, Portugal) and has authored or co-authored more than 40 technical papers and reports.

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.

Isabel Machado Alexandre is an accomplished academic and researcher. She holds a PhD in Computer Studies from the University of Leeds and has been a faculty member at the Instituto Universitário de Lisboa (ISCTE) since 2000, where she teaches in the areas of Information Systems, Human-Computer Interaction, and Artificial Intelligence. Her research focuses on AI applications in health and education, and she has led numerous national and international projects, including COST Actions and initiatives like MEM+ for people with Alzheimer. With over 60 publications, including journal articles, book chapters, and conference papers, she has made significant contributions to her field. She has also held leadership roles, such as Director of the IT-IUL research unit and Coordinator of the Information Technology group. Her teaching excellence is reflected in consistently high student evaluations, and she has supervised multiple master's and doctoral theses.  Her work extends to university management, curriculum development, and promoting scientific culture, demonstrating a strong commitment to academia and research.

Jorge Louçã obtained in 2000 a PhD in Computer Science and Artificial Intelligence from the Université Paris Dauphine, Paris, France and the Faculty of Sciences of the University of Lisbon, Portugal. He is, since 2000, professor at the ISCTE-IUL Lisbon University Institute, where he teaches Programming Languages and Complex Systems Science. He founded the Doctoral Programmes in Complexity Sciences, joint academic program at ISCTE-IUL and the University of Lisbon. He coordinates The Observatorium research team and his research interests concern modelling complex social systems through intensive data collection and analysis. He is particularly interested by knowledge generation models in large-scale communication networks. He is also concerned by organising the Complex Systems research community, namelly through the annual Conference on Complex Systems (ECCS or CCS). He participated in the creation of the UNESCO Unitwin network for the Complex Systems Digital Campus, involving institutions from Africa, Latin America and Europe.

Luís Miguel Martins Nunes, graduated in Computer Science from Faculdade Ciências da Universidade de Lisboa (1993), obtained a MSc degree in Electrical and Computer Engineering from Instituto Superior Técnico, Universidade Técnica de Lisboa (1997, thesis supervised by Prof. Luís Borges de Almeida) and a PhD degree in Computer Science Engineering from the Faculdade de Engenharia da Universidade do Porto (2006, thesis supervised by Prof. Eugénio de Oliveira). Entered in Iscte in 1997 as Teaching Assistant and is currently Associated Professor. Has also contributed as a researcher in the area of Machine Learning in several research units since 1997 (INESC, ADETTI, LIACC, IT and ISTAR) remaining a member of ISTAR to this date.

Maria Pinto-Albuquerque is Assistant Professor at Iscte - Instituto Universitário de Lisboa and researcher at Istar-Iscte. Her work focuses on the relation of the human, as a user or developer, with the computer system. Addressing this relation leads to work in cybersecurity awareness, alignment of security with usability, and requirements engineering. She has been developing tools and techniques, like serious games and creativity techniques, to promote an efficient, responsible, and secure use (by the users) and development (by software engineers, co-developing with all types of stakeholders) of computer systems. She pursues collaborations in particular with Bristol Cybersecurity Group (Univ. of Bristol, UK), UniBW Information Systems Group (University of the Federal Armed Forces Munich), and Security Life Cycle Group of Siemens Technology, Munich. Under collaboration with Bristol Cyber Security Group, she was part of the team that created and developed the cybersecurity awareness game, Decisions and Disruptions, http://www.decisions-disruptions.org/. This game was adapted by the City of London Police and won the UK National Innovation in Cyber Award 2020, https://thenationalcyberawards.org/virtual-awards-ceremony-2020/. Graduated in Applied Maths. and Comp. Science at Universidade Técnica de Lisboa. She completed the MSc in Computing at Faculdade de Ciências, Universidade de Lisboa, and the PhD in Computer Science at Lancaster University, UK. Is a member of  IEEE, Iscte Alumni, Lancaster University Alumni, and the British Computer Society.

Maria da Conceição Torres Figueiredo (1966) is Associate Professor of Quantitative Methods at ISCTE-IUL, Portugal, since 1997. She studied economics and econometrics at ISEG-UTL, Portugal (Licenciatura in Economics, 1991; M.S. in Mathematical Modeling for Economics and Management, 1994) and Quantitative Methods at the Instituto Universitário de Lisboa (ISCTE-IUL), (Ph.D. in Quantitative Methods, 2011). Her research focus on Longitudinal Data Analysis and Applied Microeconometrics.  Participated in projects, studies, workshops and communications in national and international congresses. of journals where she published: The Portuguese Journal of Social Science; Social Policy and Society; International Labour Review and Jounal of Youth Studies.

Associate Professor at the Department of Social Research Methods Researcher at the Centre for Research and Studies in Sociology (ISCTE-IUL) Associate Editor of the Journal of Youth Studies Research Areas: Youth, Tecnology and Social Inequalities

Patrícia A. Filipe is an Associate Professor at ISCTE-Instituto Universitário de Lisboa, where she teaches courses in the area of Probability and Statistics. Her main research area is statistical modeling, in particular, it focuses on the study of dynamic models of individual growth, statistical models applied to health data and, more recently, analytical methods in Big Data. She has participated in research projects, and in the dissemination of the work developed in national and international scientific meetings, with the publication of several scientific papers.

Professor Pedro Ramos is Full Professor aof the Department of Science and Information Technology ( DCTI ) at ISCTE Lisbon University Institute . It holds a PhD in Science and Information Technology, Master in Management Information Systems.  Between  1999 and 2013 he coordinated masters in the area of Information Systems. Coordinates several IT courses at ISCTE-IUL. Has experience in the development of computer applications to the industry. Regularly participates in funded European projects.

Guest lecturer at Iscte - School of Technology and Architecture. Bachelor and Master degree in Telecommunications and Computer Engineering. Personal Data Protection Advisor at Banco de Portugal. Saúl used to be a Consultant at the Portuguese Data Protection Authority (CNPD), which he represented on the European Data Protection Board (EDPB) Technology expert subgroup, among other taskforces. He was part of the European Commission's experts evaluating member states on the application of the Schengen acquis, in the field of data protection. His main research interests focus on Security, Privacy and Personal Data Protection, Consumer Protection and Digital Transition.