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
ARIS	Probitas Foundation	The project aims to develop and promote the use of a laboratory software system for patient management, analysis and laboratory tests. It offers basic functionalities and a simple interface that can be flexibly configured to support the main tasks of a clinical laboratory.
AgileDashboard	UPC-Producte 2025	The project aims to create a dashboard that consolidates development and agile process metrics into scientifically validated strategic indicators, using AI-based forecasting, alerts, and gamification to support teams in applying agile best practices and making informed decisions that improve performance, communication, and sustainability.
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:

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
ARIS: A software that helps to gather clinical laboratory information in countries of the global south, with the ultimate goal of reporting it to the corresponding ministry of health to facilitate epidemiological surveillance.

Teaching:

The Learning Dashboard has been successfully 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