CIVICA Announces Eight New Collaborative Research Projects
The CIVICA alliance has announced the selection of eight new innovative collaborative research projects across the 10 partner institutions following its fourth call for proposals. The call reflects the alliance's dedication to promoting research excellence and academic cooperation and the selected projects aim to reinforce CIVICA's position as a leading hub for social sciences research in Europe.
Various Bocconi academics are involved in the projects that cross thematic boundaries and prioritize innovative research ideas and that all have links to one of the four CIVICA thematic priorities: ‘Data-Driven Technologies for the Social Sciences’, ‘Democracy in the 21st Century’, ‘Europe Revisited’ and ‘Societies in Transition, Crises of Earth’. The projects will run until May 2026.
Valentina Bosetti, Department of Economics, is among the team leaders of the PROLE project (Political Results Obtained through Lobbying in Europe). The project aims to investigate and increase awareness about the role of vested interests and lobbying influence in EU climate-related policies and decision making. The team will construct a dataset of lobbying activities and environmental-related political outcomes in the major European institutions.
Italo Colantone, Department of Social and Political Sciences, is among team leaders of B2G - Brown to Green: The Political Economy of Risks, Voting, and Compensation Policies. The project examines the green transition, addressing socio-economic and political challenges and thus providing insights into how this transition affects labor markets, voting behavior, and policy design across Europe. Piero Stanig, also of Department of Social and Political Sciences, is among the team members.
Among team members of the EPO – European Polarisation Observatory project is Nicolò Cavalli, Department of Social and Political Sciences. Now entering its third phase, this project, which from the beginning has worked on innovative methods to estimate political positions from social media data, now aims to further advance fundamental science in political data generation.
Francesco Grossetti, Department of Accounting, will be team member of the EXECML (Using Machine Learning to Uncover Subjective Incentives in Executive Compensation) project, which will investigate trade-offs between objective and the less studied subjective incentives used in executive pay, using advanced techniques in Natural Language Processing (NLP), Machine Learning (ML) and AI to analyze data from firms' financial disclosures.