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 é Professora Auxiliar no ISCTE-IUL. É doutorada em Matemática Aplicada à Economia e à Gestão, mestre em Investigação Operacional e licenciada em Estatística e Investigação Operacional. Lecciona na área dos métodos quantitativos, nomeadamente Investigação Operacional e Optimização. Tem apresentado comunicações em diversas conferências e tem publicado em revistas científicas, tais como o European Journal of Operational Research. Os seus tópicos de investigação são em investigação operacional (optimização combinatória), principalmente em modelos matemáticos e heurísticas para a determinação de rotas e de sectores para aplicações reais em sistemas de distribuição e recolha de produtos. Neste âmbito, tem participado como investigadora em projectos financiados pela FCT (Fundação para a Ciência e a Tecnologia) focados na gestão eficiente de recursos em serviços ambientais relacionados com actividades de recolha de resíduos domésticos.

Filipe R. Ramos é doutorado em Gestão, com especialização em Métodos Quantitativos, pelo ISCTE-Business School; mestre em Matemática Financeira pelo ISCTE-Business School e pela Faculdade de Ciências da Universidade de Lisboa (FCUL), bem como em Ensino da Matemática pela Faculdade de Ciências e Tecnologia da Universidade NOVA de Lisboa (NOVA FCT). licenciado em Matemática (Ensino) pela FCUL. Além da docência de Matemática nos ensinos Básico e Secundário, de Matemática Aplicada em cursos da Via Profissionalizante e de várias unidades curriculares, da área científica da Matemática/Estatística, em instituições de ensino superior público (como FCUL, ISEG, FCT-UNL e ISCTE-IUL) e privado (Universidade Europeia), colaborou também como consultor técnico-pedagógico no IAVE e coordenou cursos vocacionais e respetivas equipas pedagógicas. Atualmente, é Professor Associado na Faculdade de Ciências Sociais e Tecnologia da Universidade Europeia (FCST-UE), colaborador no ISCTE-Business School e na Escola Superior de Tecnologia do IPCB (EST-IPCB). É, ainda, investigador integrado no Centro de Estatística e Aplicações da Universidade de Lisboa (CEAUL). A sua atividade de investigação centra-se na análise de dados e modelação matemática. Parte do seu trabalho incide sobre os seguintes tópicos: (i) "Time Series Analysis and Forecasting" (com especial aplicada às áreas da Economia, Gestão e Finanças); (ii) Data Analysis/Data Science; (iii) Machine Learning/Deep Learning.

Patrícia A. Filipe é Professora Associada no ISCTE-Instituto Universitário de Lisboa onde leciona disciplinas na área das Probabilidades e Estatística. Possui doutoramento em Matemática e Mestrado em Probabilidades e Estatística. A sua principal área de investigação é a da modelação estatística, em particular, centra-se no estudo de modelos dinâmicos de crescimento individual, de modelos estatísticos aplicados a dados da Saúde e, mais recentemente, de métodos analíticos em Big Data. Tem participado em projetos de investigação, e na divulgação dos trabalhos desenvolvidos em encontros científicos nacionais e internacionais com a publicação de vários artigos científicos.

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.