Bocconi currently hosts 25 ERC Projects: this dedicated website area is constantly updated.
For more information on how to participate to a ERC call, please contact email@example.com
- Access the ‘IMMUNE: Modelling the Impact of Human Behaviours on Infections Spread’ website area.
The project is meant to incorporate dynamic human behavior and, particularly, vaccination decisions into epidemiological models. In the envisaged new models, these elements can change as a function of internal and external factors, such as disease dynamics, vaccine availability and vaccine scares, panic, social norms and peer effects. It has been approved and funded by the European Research Council by way of a ‘Consolidator Grant’ for the period 2021-26.
- Access the 'INTEGRATOR: Incorporating Demographic Factors into Natural Language Processing Models’ website area.
The project introduces demographic factors into language processing systems, which will improve algorithmic performance, avoid racism, sexism, and ageism, and open up new applications. It has been approved and funded by the European Research Council by way of a ‘Starting Grant’ for the period 2021-26.
- Access the ‘LOSS: Narratives of Loss: Unravelling the Origins of Support for Socially Conservative Political Agendas’ website area.
The project aims at unraveling how economic hardship affects support for socially conservative political agendas aimed at restricting the rights of marginalised groups (ethnic linguistic and religious minorities migrants LGBTQIA + and women) and how local and national policy contexts affect this relationship. It has been approved and funded by the European Research Council by way of a ‘Consolidator Grant’ for the period 2020-25.
- Access the ‘Spoils of War: The Economic Consequences of the Great War in Central Europe’ website area.
The project sets a new standard in the economic history of the world wars by investigating how the First World War affected regional economic development and industrial organisation in the Habsburg Empire and its successor states. It has been approved and funded by the European Research Council by way of a ‘Starting Grant' for the period 2019-24