Do Lobbyists Inform or Mislead? Evidence from EU Public Consultations.

Can policymakers learn the truth when every messenger has an agenda? Cheap talk theory from Crawford and Sobel, Battaglini, and Krishna and Morgan suggests that an uninformed decision maker can still extract reliable information from multiple biased senders, especially when their interests point in different directions.

I bring this prediction to data in the EU setting by building a novel dataset that links three institutional sources at sentence-level granularity: the EU Transparency Register, the Have Your Say consultation portal, and EUR-Lex. This makes it possible to follow specific claims from public submissions into the legislative texts that follow.

The core test asks whether convergence across actors with opposing material interests signals genuinely informative content and raises the probability that a suggestion is later incorporated into law. The project provides a large-scale empirical test of multi-sender information transmission in a real legislative process, with implications for the political economy of lobbying and institutional design.

A monetary model of money laundering.

Joint work with Fabrizio Mattesini. We are developing a theoretical model of money laundering with the goal of linking the model to moments drawn from the Financial Intelligence Unit datasets of the Bank of Italy.

The project aims to combine theoretical structure with empirical discipline in order to say something more precise about the incentives, frictions, and aggregate implications involved in illicit financial flows.

Urban mobility, with a focus on the city of Rome.

This project is currently at the data collection stage. It combines large-scale web scraping, news monitoring, and additional sources to build a richer picture of how mobility issues evolve across the city.

The broader objective is to create a solid empirical basis for studying transport dynamics, urban frictions, and the policy challenges associated with mobility in a large metropolitan area.

Automation, Population Growth, and the Future of Human Capital.

Master thesis written at CEMFI under the supervision of Pau Roldan-Blanco. Currently under revision. This paper studies the role of labour skills in the production function for long-run economic growth when automation is possible. It develops a capital accumulation model with human capital that allows the study of how the labour share, output, and inputs are affected by the population growth rate, the saving rate of households, and investments in education.

Digital Democracy and Gender Equality: A Critical Look at the Future of Governance.

ENGAGE.EU Research Label project. This is a collaborative initiative involving scholars working on digital governance, democratic institutions, and equality in AI-mediated societies.

Together with my co-authors, I am developing a preliminary op-ed that advances a critical framework for understanding gender bias in AI systems across both data and model levels, and argues that these biases should be treated as structural externalities for governance and regulation.

Additional context is available through the ENGAGE.EU event page.