Raul M. S. Laureano holds a Ph.D in Management with specialization in Quantitative Methods for Management (2007), a Master's degree in Business Sciences (1995), and a Bachelor's degree in Organization and Business Management (1992), all awarded by Iscte, currently known as Iscte-Instituto Universitário de Lisboa (Iscte-University Institute of Lisbon). He is Associate Professor at the Department of Quantitative Methods for Economics and Management of the Iscte Business School, where he has been teaching since 1992 in the field of Business and Data Analytics, including subjects such as Statistics and Data Analysis and Machine Learning. At this institution, he proposed the Applied Business Analytics and Analytics for Business postgraduate programs, both offered in partnership with Iscte-Executive Education, and the Master's program in Business Analytics, of which he is the director since its first edition. He is also a researcher at the Business Research Unit (BRU-Iscte), in the Data Analytics group, and at the Research Center in Information Science, Technologies, and Architecture (ISTAR-Iscte), in the Information Systems group. Within his research interests, which include Health Analytics, Fraud Analytics, Public Administration, Tourism Analytics, and Applied Business Analytics, he has published over 90 scientific papers, including articles in journals, book chapters, and conference proceedings. He is currently responsible for the research projects "HOPE - Healthcare: Optimize, Predict and Explain" and "DAFIM - Development of Fraud Pattern Detection Algorithms in Incentive Verification," both funded by Iscte. He was a member of the research team for the project "Artificial Intelligence in Incentive Management" (funded by IAPMEI and AICEP – 2020-2021 / 24 months) In terms of academic research, he has successfully supervised over 50 master theses and four doctoral theses. He is currently supervising four doctoral theses, all in the field of Data Science, with topics related to the creation of predictive models, both regression and classification, in the areas of health, financial incentives and audience measurement in out-of-home media. In 2014, he co-founded the scientific event WICTA - Special Interest Group on ICT for Auditing & Accounting, of which he is the co-chair, and it will have its 11th edition in 2023 (CISTI'2023 - 18th Iberian Conference on Information Systems and Technologies - WICTA 2023). He is also the author of several books, including "IBM SPSS Statistics: My Quick Reference Guide" (3rd edition), "Hypothesis Testing with SPSS: My Quick Reference Guide" (2nd edition), and "Hypothesis Testing and Regression" (with SPSS and R, forthcoming), all published in Portuguese by Edições Sílabo. Throughout his career, he has collaborated with other higher education institutions (Coimbra Business School, A Politécnica - Maputo, Institute of Health Sciences of the Catholic University, and Higher School of Real Estate Activities) and since 2013, he has been collaborating with the Order of Certified Accountants (OCC) in the preparation and teaching Microsoft Excel training courses. For more information, please visit: https://ciencia.iscte-iul.pt/rml/en. 

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.

Filipe R. Ramos holds a Ph.D. in Management, specialising in Quantitative Methods, from ISCTE-Business School; a Master's Degree in Financial Mathematics from ISCTE-Business School and Faculty of Sciences, University of Lisbon (FCUL), and also in Mathematics Teaching from NOVA School of Science and Technology, NOVA University of Lisbon (NOVA FCT); a Degree in Mathematics (Teaching) from FCUL. He has taught Mathematics in Primary and Secondary Schools and Applied Mathematics in Vocational Courses, as well as several curricular units (undergraduate and masters) in the scientific field of Mathematics/Statistics in public (FCUL, ISEG- Lisbon School of Economics and Management, NOVA FCT and ISCTE-IUL) and private higher education institutions (European University-UE). He has also been technical-pedagogical collaborator/consultant at IAVE and coordinator of vocational courses and their pedagogical teams. He is currently Associate Professor at the Faculty of Social Sciences and Technology - European University (FCST-UE), collaborator at the ISCTE-Business School and the Higher School of Technology-IPCB (EST-IPCB), and also Integrated Researcher at the Centre for Statistics and Applications of the University of Lisbon (CEAUL). His research activity focuses on data analysis and mathematical modelling. Part of his work focuses on the following topics: (i) "time series analysis and forecasting" (with special applications in the fields of economics, management and finance); (ii) data analysis/data science; (iii) machine learning/deep learning.

Graça Trindade is an Assistant Professor of the Departament of Quantitative Methods for Management and Economics. She got the PhD in Quantitative Methods - Econometrics in 2007 from ISCTE on "Models of Latent Segments of a Market with Aggregate Data". She has published in Journals such as Social Indicators Research Journal, The International Review of Retail, Distribution and Consumer Research (IRRDCR) and the European Journal of Operational Research (EJOR). Her research interests include Mixture models for longitudinal data, Optimization methods, Multivariate data analysis and Statistical Analysis.

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.

Renato Lopes da Costa is however recognized for his work in academic terms, having published more than a hundred scientific articles in the main international business management journals index by scopus and Wos and, 9 books in the same scientific area.  Throughout his career for several years he developed his business activity in the areas of retail and banking, developing projects of an operational nature in the areas of banking and management control in the retail area. Renato Lopes da Costa completed his doctorate in the area of ​​business strategy at ISCTE - University of Lisbon, where he developed a pioneering work on the practices and praxis used by management consultants in the development of their work in client companies, contributing to the state of the art in scientific area of ​​business strategy in the field of strategy-as-practice research. Renato Lopes da Costa also has the title of Habilitation in Management conferred by the University Institute of Lisbon, completed in 2022. As a university professor, he supervised more than two hundred of masters and doctorates in the area of ​​business management, being recognized for this valence, as well as for his teaching ability in the area of ​​business strategy in undergraduate, master's, executive master's and doctorate degrees, nationally and internationally. Having conducted several courses at Portugal universities, he is currently director of the MscBA - Master in Business Administration at ISCTE (being listed on the prestigious lists of the Financial Times as one of the best European courses in the scientific area of ​​management) and Diretor of the Global Master Series INDEG in Business Management, Marketing e Finance e Risk Management. Between 2021 and 2023, Renato Lopes da Costa belonged to the scientific council of ISCTE as a member of the plenary.