Data-Driven decision-making processes

Description

This research area explores multiple facets of data-driven decision-making processes in an holistic manner: from data-gathering to the computation and visualitzation of high-level indicators, including advanced techniques to support decision-making, such as AI-based predictive algorithms and what-if-analysis.

Team

Marc Oriol
UPC
Lidia López
UPC
Carles Farré
UPC
Xavier Franch
UPC

Projects Overview

Title Type Goal
FIREPRIME Research FIREPRIME aims to establish an EU-wide program promoting fire resilience in Wildland–Urban Interface (WUI) communities. It will develop a toolkit including a smartphone app aimed at enhancing wildfire resilience in households.
GLiDE: Integrated Gamified Learning Dashboard Environment Teaching innovation Project to enhance the user experience and introduce gamification elements into the Learning Dashboard.
Learning Dashboard Teaching innovation Project to gather data generated by the software development tools used by students, mainly code version management and project management tools, in order to define learning metrics, factors, and indicators that are integrated, visualized, and monitored in an analytic dashboard.

Outcomes/Main Contributions

Research:

Technology Transfer:

Teaching:

  • The Learning Dashboard has been succesfully deployed and used in the following courses, supporting students in the development of their software projects, while enabling professors to effectively monitor their progress:

Team Leader and Contact Person

Marc Oriol
Contact Marc Oriol