A research hub that collects geographically granular data and connects researchers interested in the topic of local economies.
The aim of the Lab is to produce data-driven reports and analyses focused on policy-relevant issues, describing how specific phenomena affect local economies and providing evidence-based policy suggestions.
The first Italian hub for scientific research on local economies
The mission of the Local Opportunities Lab is to promote efficiency and equity in the implementation of economic policies. Efficiency means long-term growth and sustainability. Equity means equality of opportunity for citizens of different birthplaces and generations.
The Lab respects the deontology of scientific research and focuses on the fields of economic geography, labor economics, education, public finance, and industrial organization.
The values we believe in and that characterize our work are those of consistency, responsibility, and respect for the scientific method, for individuals and their freedoms, and for equality of opportunity.
The Local Opportunities Lab started with the intention of building a large dataset that collects, cleans, and harmonizes data available at geographically granular levels from different sources. The Lab soon evolved into a hub that connects a group of researchers, the scientific committee, research collaborators that helped the project grow, and stakeholders who support the activities of the Lab.
The Lab is financially supported by the Algebris Policy & Research Forum, a not-for-profit advisory forum on European economic policy issues, and collaborates with Tortuga Econ, a non-profit association and think-tank of students, researchers and young professionals working in the fields of economics and social sciences.
The Lab is helping tackle the coronavirus emergency. We use our granular data on income tax returns, the healthcare system, employment, pollution, and social capital to predict the characteristics associated with higher levels of infection and identify the geographical areas most at risk.