Nancy Davila Cardenes

Nancy Davila Cardenes serves as an Associate Professor in the Department of Quantitative Methods in Economics and Management at the School of Economics, Business and Tourism, University of Las Palmas de Gran Canaria. She is an active member of the Bayesian Statistical and Decision-making Techniques in Economics and Business research group and teaches Business Mathematics, Quantitative Methods, and supervises final degree projects for Business Administration students.

Dr. Davila's research spans multiple domains where statistical methods address real-world economic problems. Her primary interests include Bayesian statistics with applications in tourism economics (particularly tourist expenditure patterns in the Canary Islands), sports analytics (especially football/soccer modeling), educational statistics (assessment methodology development), and gender studies (analysis of gender-based violence determinants). She has developed innovative methodological approaches including infinite mixture models for tourism segmentation and asymmetric Bayesian models for social phenomena analysis.

Her publication record reveals a consistent research trajectory with recent work increasingly focused on tourism economics while maintaining her established expertise in sports analytics. She has made significant contributions to educational innovation through tools for automated testing in business mathematics. Dr. Davila frequently collaborates with E. Gómez-Déniz and other ULPGC colleagues across multiple projects.

She has participated in numerous research projects primarily funded by the University of Las Palmas de Gran Canaria and the Spanish Ministry of Science and Innovation. These include the current 'Economic Evaluation and Meta-Analysis: Bayesian Solutions in Health Economics' project (2022-2026) and multiple educational innovation initiatives examining reading comprehension competencies among business students (2018-2021). Dr. Davila maintains an active research profile with publications extending to 2024 and continues to contribute significantly to both methodological advancement and practical applications in her fields of expertise.