Coordinator: António Aguiar da Costa
This group is composed of 30 researchers(9 integrated PhD, 5 PhD collaborators, 16 PhD students) covering a broad range of topics, which include different fundamental systems and management and cross-cutting related issues, such as:
Systems and Management Research Group is active in the following domains of systems and management:
- Advanced digitalisation for sustainable development
- Advanced asset management with Data Science
- Driving intelligent decisions using Data Analytics
Through all thematic strands of, Systems and Management Research Group plans to:
- Develop competitive know-how for innovative learning methodologies
- Deepen methods of evaluation of public policies’ performance
- Reinforce the focus on Risk Assessment linked with Climate Change
- Assess increased impacts of Natural Hazards (e.g. droughts, floods, soil losses and erosion)
Systems and Management Research Group has made a considerable impact on specific topics such as:
- Advanced digitalisation for sustainable development
-
- Twin transition through the integration of sustainable practices and industrialisation principles
- Advanced digital workflows that underpin the life cycle of assets, including design, operation and repurposing
- Advanced asset management with Data Science
-
- Enhanced asset management by integrating Digital Twin technology with the latest advances in Data Science
- Revolutionisation of processes for asset monitoring, analysis and optimisation through the interplay between accurate digital models and predictive AI analytics
- Driving intelligent decisions using Data Analytics
-
- Development of more intelligent approaches to the built environment by harnessing Data Science and AI
- Development of AI algorithms to anticipate project risks, optimise resource allocation, and streamline supply chains
- Reinforcement of internationalisation of the RG3 activities and projects, mainly using privileged existing connections with the OECD, UNESCO, the PALOP and Brazil
