My current research merges Data Science and Social Science to develop an integrative modelling framework that combines prediction and explanation. The research questions that I am currently investigating can be grouped into two main areas.
1. Artificial Intelligence:
"Causality, Prediction and Explanation in Social Science" with M. Loveless.
"Building Better Theories Through Prediction and Explanation", with J. Peterson and S. Huang.
"Mapping Women’s Contributions to Artificial Intelligence Using Large-Scale Text Analysis", with E. Cossu and A. Jogalekar.
"Disruption or Augmentation? The Changing Demand for AI Skills in the Age of Generative AI" with T. Luca, G. Marconi and L. Vergolini.
"AI and Job Insecurity: Winners and Losers" with A. Rebecchi, M. Bia, and C. d'Ambrosio.
"Patients’ Perceptions of AI Use in Health Care" with M. Macis and L. Sartori.
2. Climate Change:
"Using Search Data to Measure Climate Change Attention" with O. Kvist, S. Luck, and E. Vera-Valdés. .
"Living With Floods Without Being Prepared: Experimental Evidence from Italy" with C. Puglisi, I. Palazzoli, S. Ceola, and R. Muttarak.