Giacomo Vaccario

Senior Researcher

Giacomo is a senior researcher at the Chair of Systems Design, ETH Zurich. In this group, he worked as a post-doc and obtained a Doctorate in Science in 2019. Before joining ETH Zurich, he completed the Part III of the Mathematical Tripos from the University of Cambridge and received a Master in Theoretical Physics from Sapienza University of Rome.

Giacomo’s research interests lie in understanding the determinants and effects of cooperation in socio-economic systems. He studies how collaborations are established among firms or scientists to create new knowledge. He also investigates how the knowledge of these actors, in turn, defines their collaborations. To capture this feedback, he combines statistical analysis of patent and publication data with agent-based models. In recent years, he has worked extensively on how psychological and cognitive processes can foster but also hamper the emergence of cooperation. To this end, he has developed mathematical models and experiments leveraging game theory and complex systems theory.

Giacomo publishes papers in major peer-review journals. He is a member of the editorial board for the journal Social Network Analysis and Mining and has been a guest editor of the journal Advances of Complex Systems. He is also an active reviewer for various venues, including Journal of Informetrics, European Physics Journal - Data Science, and Physica A.

On top of the research activity, Giacomo has been teaching the course Agent-Based Modelling of Social Systems with Prof. Frank Schweitzer.

Giacomo's most recent publications

Reconstructing signed relations from interaction data

arXiv - 2022

Georges Andres, Giona Casiraghi, Giacomo Vaccario and Frank Schweitzer

The Role Of Network Embeddedness On The Selection Of Collaboration Partners: An Agent-Based Model With Empirical Validation

Advances in Complex Systems - 2022

Frank Schweitzer, Antonios Garas, Mario V. Tomasello, Giacomo Vaccario and Luca Verginer

Consensus from group interactions: An adaptive voter model on hypergraphs

Physical Review E - 2022

Nikos Papanikolaou, Giacomo Vaccario, Erik Hormann, Renaud Lambiotte and Frank Schweitzer

Network embeddedness indicates the innovation potential of firms

arXiv - 2022

Giacomo Vaccario, Luca Verginer, Antonios Garas, Mario V. Tomasello and Frank Schweitzer

When standard network measures fail to rank journals: A theoretical and empirical analysis

arXiv - 2021

Giacomo Vaccario and Luca Verginer

Reproducing scientists' mobility: a data-driven model

Scientific Reports - 2021

Giacomo Vaccario, Luca Verginer and Frank Schweitzer

Should the government reward cooperation? Insights from an agent-based model of wealth redistribution

Advances in Complex Systems - 2021

Frank Schweitzer, Luca Verginer and Giacomo Vaccario

The mobility network of scientists: Analyzing temporal correlations in scientific careers

Applied Network Science - 2020

Giacomo Vaccario, Luca Verginer and Frank Schweitzer

What is the Entropy of a Social Organization?

Entropy - 2019

Christian Zingg, Giona Casiraghi, Giacomo Vaccario and Frank Schweitzer

Quantifying knowledge exchange in R&D networks: A data-driven model

Journal of Evolutionary Economics - 2018

Giacomo Vaccario, Mario Vincenzo Tomasello, Claudio Juan Tessone and Frank Schweitzer

Quantifying and suppressing ranking bias in a large citation network

Journal of Informetrics - 2017

Giacomo Vaccario, Matus Medo, Nicolas Wider and Manuel S. Mariani

Data-driven modeling of collaboration networks: A cross-domain analysis

EPJ Data Sci. - 2017

Mario Vincenzo Tomasello, Giacomo Vaccario and Frank Schweitzer

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