Hey, I am Giacomo
I am a senior researcher at the Chair of Ecosystem Management, ETH Zurich, where I am exploring trade-offs in using wood for construction by analyzing the supply chain. My focus is at two level: Swiss and European. My general research interests lie between: complexity, data-science, and network science.
Agent-based modelling
Agent-based modeling is a computational approach that simulates interactions of autonomous agents (individuals or entities) to assess their collective impact on complex systems, commonly applied in socio-economic and socio-ecological contexts.
- Reveals emergent system behaviors.
- Models diverse, realistic agents.
- Captures adaptive decision-making.
- Tests policy impacts and scenarios.
Network science
Network science studies the structure, dynamics, and behavior of interconnected systems, from social networks to ecological and economic systems. It uncovers patterns and principles shaping complex networks.
- Analyzes relationships and connectivity within systems.
- Identifies key nodes and pathways in networks.
- Models the spread of information, diseases, or influence.
- Aids in optimizing and improving network resilience.
Supply chains
Supply chain systems integrate processes, resources, and stakeholders to ensure the efficient flow of goods and services. It emphasizes optimization and sustainability in modern networks.
- Enhances transparency across complex supply networks.
- Supports sustainability by reducing waste and emissions.
- Improves efficiency through optimized logistics and processes.
- Adapts to disruptions with resilient and flexible strategies.
Science of Science
The science of science is an interdisciplinary field that develops indicators and models to analyze collaboration patterns, knowledge transfer, the impact of knowledge artifacts (such as papers and patents), and the factors influencing success in science.
- Analyzes knowledge artifacts to measure impact and innovation potential.
- Develops indicators to identify collaboration patterns and pathways to success.
- Enhances understanding of knowledge transfer and its role in scientific progress.
- Informs science policy and funding decisions to foster innovation.