António Filipe Fonseca is an engineer and complexity sciences researcher. He graduated in Electronics and Telecommunications from IST in Lisbon and holds a Master's degree and a PhD in Complex Systems Sciences from ISCTE/IUL and Faculdade de Ciências de Lisboa. His main research interests are complex social systems, information dynamics and modelling and simulation of complex systems. He worked in several private companies as an engineer before joining the public service as an IT expert. Currentlys is Assistant professor in ISCTE Sintra and Integrated Researcher  at ISTAR/ISCTE -IUL Lisbon.

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.

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).

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.

Paulo Vieira is an invited professor at ISCTE-IUL and student researcher at LASIGE Computer Science and Engineering Research Centre. His academic background includes a 1st cycle degree in Computer Engineering from Instituto Superior de Engenharia de Lisboa, a Master's degree in Computer Engineering from Instituto Superior de Engenharia de Lisboa. He is currently working on his PhD in Informatics from Faculdade de Ciências da Universidade de Lisboa. His research interests focus on emotion, machine learning and information systems.  

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.

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.

Sérgio Moro (Dr. Habil. in Information Sciences and Technologies) is Full Professor at ISCTE and Deputy Director of the Department of Information Sciences and Technologies. He is also, since April 2023, Vice-President of the Scientific Council of ISCTE. Sérgio is an interdisciplinary Data Scientist aiming to unveil patterns of knowledge through data-driven approaches. His research interests include Business Intelligence, Data Mining, Data Science, and Decision Support Systems applied to real world problems such as Marketing, Banking, and Tourism. He has published in domains such as Information Systems and Management (e.g., Decision Support Systems, Expert Systems with Applications, International Journal of Information Management, Journal of Information Science), Marketing (e.g., European Journal of Marketing, Journal of Business Research, Journal of Retailing & Consumer Services), Hospitality & Tourism (e.g., Tourism Management, Annals of Tourism Research, International Journal of Hospitality Management, Journal of Hospitality & Tourism Research, International Journal of Contemporary Hospitality Management), and Applications to Industry (e.g., Telematics and Informatics, Computers in Industry). His portfolio of publications includes a total of 65 peer-reviewed journal publications, from which 42 are ranked in Q1 and 16 in Q2. He has worked for 15 years (2001-2016) at Montepio Bank, from which the last 3 and a half as a Business Intelligence and Analytics Project Coordinator, including projects such as Analytical CRM, IRB (internal ratings-based approach to capital requirements for credit risk), ALM (Asset-Liability Management), and GRC (Governance, Risk and Compliance). His academic background includes a 5 year B.Sc. in Computer Engineering (Instituto Superior Técnico, University of Lisbon), a M.Sc. in Management Information Systems (ISCTE-IUL), and a Ph.D. in Information Sciences and Technologies (ISCTE-IUL). Sérgio is Associate Editor of Expert Systems, Wiley (Q2) and was member of the Editorial Board of Tourism Management Perspectives (Q1). He has been among the top 2% researchers worldwide since 2020, according to a Scopus-based study (https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/3).