Professor of Behavioural Science and Computational Social Science
Department of Sociology and Social Research
University of Trento
Behavioural and Implementation Science Interventions (BISI), Yong Loo Lin School of Medicine
National University of Singapore
Research Focus
Behavioural Science
Designing and analyzing randomized controlled trials for behavioural interventions and public policy
Computational Social Science
Applying computational methods to understand social phenomena and human behaviour at scale
Research Methods
Experimental design, online experiments, multiverse analysis, and quantitative methods for social science
Featured Article
Navigating Evidence, Legitimacy and Delivery: A Three-Dimensional Framework for Behavioural Policy Design
Policy and Society
This article develops a three-dimensional framework for behavioural policy design that integrates evidence, legitimacy, and delivery. Moving beyond the conventional focus on 'what works', the framework highlights how behavioural interventions must also navigate political acceptability and implementation feasibility. By mapping these three dimensions together, the article provides policymakers and researchers with a structured approach to designing behavioural policies that are not only effective but also politically viable and practically deliverable.
Read ArticleRecent Publications
Veltri, G. A. (2026). Navigating evidence, legitimacy and delivery: A three-dimensional framework for behavioural policy design. Policy and Society. DOI
Veltri, G. A., & Gilbert, J. (2026). Results from Randomized Controlled Trials are Highly Sensitive to Data Preprocessing Decisions: A Multiverse Analysis of 97 Outcomes. MetaArXiv. Preprint
Veltri, G.A.(2026). Time-Sensitive RCTs in Behavioural Public Policy: A Pragmatic Framework Using Sequence Methods, Personalisation, and Reinforcement Learning. Frontiers in Behavioral Economics. In press. DOI
De Duro, E. S., Franchino, E., Improta, R., Veltri, G. A., & Stella, M. (2026). Cognitive networks identify AI biases on societal issues in Large Language Models. EPJ Data Science. DOI
Veltri, G.A. (2025). The Effects of Data Preprocessing Choices on Behavioral RCT Outcomes: A Multiverse Analysis. Multivariate Behavioral Research. DOI
Veltri, G.A. (2025). From Evidence to Delivery: An Implementation‑Science Blueprint for Behavioural Policy. Behavioural Public Policy. DOI
Andrei, F., & Veltri, G. A. (2025). Signalling strategies and opportunistic behaviour: Insights from dark-net markets. PLOS ONE, 20(3), e0319794. DOI