Andrea is a Postdoctoral Researcher at LABSS, working on the project Norms@Risk.

He is currently finalizing his PhD in Psychology at the University of Amsterdam and previously obtained an M.Sc. in Cognitive Neuroscience from the Humboldt University in Berlin. His expertise lies in designing behavioral experiments to study how people learn from each other, often integrating real-world elements, such as participants’ social networks or realistic scenarios, into the experimental setup. He also has experience in computational modelling, agent-based simulations, and social network analysis.

At LABSS, Andrea works on understanding how individual differences in social norm learning can facilitate or inhibit the spread of cooperation in social networks. Specifically, he is interested in exploring which combinations of learning strategies—some individuals are influenced by majority opinions, others by prestigious individuals, others prefer to learn individually—can successfully shape group coordination when people face external risks, such as those posed by climate change, socioeconomic inequality, or political instability.

In his spare time, you can find him trying all sorts of outdoor activities (and being not particularly great at them).

Website: andgrad.github.io