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
Claudia Ayala
UPC
Carles Farré
UPC
Xavier Franch
UPC
Cristina Gómez
UPC
Lidia López
UPC
Projects Overview
| Title | Type | Goal |
|---|---|---|
| FIREPRIME |
EU KAPP 2024 - 2026 |
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 2023 - 2024 |
Project to enhance the user experience and introduce gamification elements into the Learning Dashboard. |
| Learning Dashboard |
Teaching innovation 2021 - * |
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. |
| VISDOM |
ITEA3 2019 - 2022 |
The VISDOM project develops new types of visualisations that utilise and merge data from several data sources in modern DevOps development. The aim is to provide simple “health check” visualisations about the state of the development process, software and use. |
| Q-Rapids |
EU H2020 2016 - 2019 |
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:
- GLiDE:
- Learning Dashboard:
- Q-Rapids (selected articles):
Technology Transfer:
- FirePrime App: an app to prevent fires in homes located in rural areas. The application implements a questionnaire based on fire prevention models and, based on user responses, calculates various indicators assessing the fire risk of the house. The app also provides mitigation strategies to reduce such risk based on the computed indicators.
- Learning Dasbhoard toolkit: A set of tools implementing the Learning Dashboard and its extensions, including the Learning Dashboard web application, its chrome-plugin for Taiga, and its gamification (GLiDE), among others.
- Data-driven quality assessment for DevOps development processes: Involvement of the Q-Rapids Dashboard adoption by Everis in the ITEA3 project VISDOM
- QaSD: A Quality-aware Strategic Dashboard for supporting Decision makers in Agile Software Development
- QFL: Data-Driven Feedback Loop to Manage Quality in Agile Development
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:
- Web Services and Applications of the Bachelor degree in Informatics Engineering at FIB - UPC.
- Software Engineering Project of the Bachelor degree in Informatics Engineering at FIB - UPC.
- Further Software Engineering of the Bachelor degree in Informatics Engineering at EPSEVG - UPC.
Team Leader and Contact Person
Marc Oriol
Contact Marc Oriol
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