معرفی
Paula Vicente is an Associate Professor of Statistics and Data Analysis at ISCTE Business School, ISCTE - Lisbon University Institute, and an Integrated Researcher at BRU-Iscte (Business Research Unit) specializing in the Data Analytics Group. Her expertise spans survey methodology, data science applications in market research, and official statistics, with extensive consulting experience in survey design and sampling.
Her academic qualifications include:
- Aggregation in Statistics and Data Analysis (2013)
- PhD in Quantitative Methods (Surveys and Opinion Polls) from ISCTE (2004)
- Master's degree in Business Sciences (1996)
- Bachelor's degree in Business Organization and Management (1993)
Her research focuses on telephone/mobile phone surveys, official statistics, and data science integration in traditional survey methods. She addresses critical challenges like coverage error in internet surveys, mobile-only population representation, and social media data applications for social science research. Her work bridges methodological rigor with practical applications in public policy and business contexts.
Recent publications (2015-2025) reveal three dominant research trajectories: mobile survey methodologies (dual-frame CATI, callback strategies), public transport user behavior (satisfaction, loyalty, adoption barriers), and environmental/public health applications (willingness-to-pay, recycling behavior, pandemic response). Her work increasingly integrates computational techniques like fuzzy clustering with traditional survey approaches.
No major scientific awards or fellowships are documented in the source materials.
She serves as Coordinator for the PhD in Management program (2022-2026) and 1st Year Coordinator for the Data Science Bachelor's program (2024-2026). Her consulting portfolio includes ICS/ISCTE Surveys and the Study on Oral Health of Children and Youth (SCML), with active participation in professional associations like the Portuguese Statistical Society (2000-2013) and Portuguese Association for Classification and Data Analysis (since 2000).
As a core member of BRU-Iscte's Data Analytics Group, she contributes to advancing business research through statistical modeling and computational methods, with particular focus on applying survey methodology innovations to real-world business and societal challenges.