Featured Applications
PACE - Performance Analytics and Competitions Evaluation
Transform large volumes of sports data into actionable insights. PACE provides athletes and coaches with predictive analytics, race simulations, and performance optimization tools to drive competitive success.
EVASTOUR - Sustainable Tourism
Comprehensive platform for analyzing and managing sustainable tourism indicators. EVASTOUR helps tourism professionals make data-driven decisions aligned with Sustainable Development Goals.
AGROCOS - Livestock & Soil Carbon Monitoring
Applied data science project in collaboration with Digitanimal. AGROCOS integrates soil organic carbon sample analysis with GPS-based livestock tracking and behavior monitoring to support sustainable pasture management and regenerative agriculture.
UPBEAT - Association of Power Utilities of Africa (APUA)
Energy analytics platform developed in partnership with the Association of Power Utilities of Africa (APUA). Built on the UPBEAT database, it provides interactive access to country-level energy metrics, utility benchmarking, and performance indicators across Africa.
CIDE-SROI - Social Return on Investment in Sport
Social Return on Investment (SROI) platform developed in partnership with Centro de Investigación en Ciencias del Deporte (CIDE, URJC). Hosted on DSLab's ShinyProxy environment, it enables quantitative evaluation and simulation of the social and economic impact of sport initiatives.
DICYME - Dynamic Industrial Cyber Risk Modelling based on Evidence
Research project addressing automation of cyber risk assessment and management in OT cybersecurity environments. DICYME examines how threats vary depending on infrastructure vulnerabilities, control strength, and external attacker motivations.
OBEPE - EPE Tecendo Conexões ETL
Prototype and public dashboards for the OBEPE project, developed with EPE to support energy planning through interactive data visualization and reproducible Shiny apps.
CRAS - Cybersecurity Risk Analysis and Simulation
CRAS is a Shiny application for simulating and analyzing cybersecurity risks. Users can model potential events and assess their impact to support risk management decisions.
SIAGRO - Farm Production Analysis
SIAGRO is a Shiny app developed for analyzing farm production data. The application provides a structured dashboard to explore, analyze, and report on agricultural data from multiple files.
About the Data Science Lab
The Data Science Lab at Universidad Rey Juan Carlos is dedicated to advancing the field of data science through:
- Research & Innovation: Developing novel statistical and computational methods
- Education & Training: Offering courses and workshops in data science
- Knowledge Transfer: Providing strategic consulting and technology integration support
Our multidisciplinary team combines expertise in machine learning, optimization, statistical modeling, and big data to tackle complex real-world problems across various domains.