Research grants are collaborative contracts, no longer available as they have been replaced by other types of arrangements. They were intended for scholars, selected through a dedicated public selection procedure, to carry out research activities on specific projects under the supervision of a faculty member acting as scientific coordinator.
At present, the following research grants are in progress:
Habitat - How European Big Cities and Legal System Trigger Urban
Inequality: An Inquiry into Law and Economics
Research Fellow: Chiara Baggetta
Academic Supervisor: Gianluca Cerruti
Project Description:
The project analyses economic and legal datasets through the application of econometric and statistical models. In particular, it employs multivariate regression models and time-series models to investigate regional and urban economics, with a specific focus on the European context and European cities..
Data Collection and Analysis for Urban Dashboards
Research Fellow: Monica Bruzzone
Academic Supervisor: Renata Paola Dameri
Project Description:
he research is part of the project “From Inclusive Technologies to Inclusive Smart Cities” (RAISE – Spoke 1, WP5) and focuses on developing a model of indicators for measuring urban inclusiveness. The activity contributes to the creation of an innovative Urban Dashboard — a decision-support tool for local governance — based on territorial data and AI algorithms. The main activities include: conducting a literature review on IT tools for urban monitoring and decision-making support, with particular attention to the role of AI in data processing; defining indicators and optimal levels of granularity (spatial, temporal, social); constructing the urban grid and collecting urban data from public sources; developing the theoretical framework and the data model; supporting the design and implementation phases of the Urban Dashboard for Socio-Economic Empowerment, a demonstrator within the RAISE project.
Communication and Innovation within European University Alliances
Research Fellow: Cristina Chiaiso
Academic Supervisor: Renata Paola Dameri
Project Description:
The project foresees that the research fellow will serve as Dissemination Officer within the European project Ulysseus (specifically WP9), leveraging their expertise and experience in the fields addressed by the project and making use of the University’s structures and related activities (Innovation Hub). In particular, the research fellow acts as project manager within the Innovation Hub in Tourism & Heritage, working in coordination with other activities related to Dissemination and Public Engagement of relevance to both the Ulysseus project and the University of Genoa. The role also contributes to the promotion of research within the University and across the local territory.
Corporate Social Responsibility (CSR) in Professional Sport: A Critical Analysis of CSR Governance and Implementation in the Football Industry
Research Fellow: Rongtitya Rith
Academic Supervisor: Riccardo Spinelli
Project Description:
The football industry has long implemented Corporate Social Responsibility (CSR) initiatives to demonstrate its commitment to local communities and to promote sustainability values among stakeholders.
This research aims to explore the strategic relevance of CSR for football clubs, with particular reference to CSR actions, legitimacy strategies, stakeholder engagement, and sustainability communication. The research activities include, first, an analysis of the key contributions in the academic literature on the topic and their implications; in addition, the study examines governance practices and the implementation of CSR within modern football clubs.
Habitat - How European Big Cities and Legal System Trigger Urban
Inequality: An Inquiry into Law and Economics
Research Fellow: Simone Robbiano
Academic Supervisor: Gianluca Cerruti
Project Description:
The project aims to analyse the economic impact of high-speed rail lines in Italy, focusing on production, productivity, and innovation. Particular attention is devoted to the proper identification of the counterfactual, the existence of heterogeneous and spillover effects, and the transmission channels. The analysis relies on economic and legal datasets and employs econometric and statistical strategies within a counterfactual framework, which allows for overcoming various issues associated with classical regression analysis, such as selection bias. These analytical methods are based on identification strategies designed to capture the causal effect of a specific policy and/or event on a given outcome.