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Meccanismi della cooperazione, comparazione

        interlinguistica e immagini generate dall’AI: sono
        i temi dei progetti finanziati dalla Linea Unimore

        Reggio
















                  Mechanisms of cooperation, interlinguistic comparison and AI-generated images: topics of projects
                  funded by the Unimore Reggio Line
                  Three research projects have been financed by the Unimore - Reggio line through the FAR 2024 call for
                  proposals. Each project focuses on different themes, but all adopt a strong interdisciplinary approach. The
                  first project, “CO-OPTION”, addresses human cooperation in the sustainable management of public goods,
                  examining how institutional punishments and corruption affect collaboration. Using an approach that com-
                  bines behavioural economics, game theory, and artificial intelligence, the project studies complex scenarios
                  to improve policies and governance models. The results could be applied to areas such as natural resource
                  management and labour market regulation. The second project, “Modeling crosslinguistic diversity in Dif-
                  ferential Object Marking”, focuses on linguistic diversity, particularly on Differential Object Marking (DOM),
                  using the Parametric Comparison Method (PCM) to analyse linguistic variations across different languages.
                  The goal is to develop a model to explain and predict these variations and contribute to the understanding
                  of universal linguistic structures. The third project, “AI-generated Images”, explores the impact of images
                  generated by artificial intelligence from various perspectives, including aesthetic, educational, and socio-
                  technical. It aims to analyse the value of syntography (hybrid images created by software) and their impact
                  on culture, public opinion, and authorship. Furthermore, the project intends to develop educational pathways
                  to raise awareness about reading and producing AI-generated images, exploring the ethical and cultural
                  implications of emerging technologies. In general, the three projects aim to produce outcomes that influence
                  theory and practice in various fields, from social sciences to visual education, with the objective of better
                  understanding complex phenomena such as cooperation, linguistics, and the creation of artificial images.








                  I                                            euro e due per il  Macrosettore ERC Scienze

                        progetti di ricerca finanziati da
                        Unimore attraverso il bando FAR -
                                                               sociali e umanistiche – SH, ognuno dei quali
                        Fondo di Ateneo per la Ricerca 2024
                                                               ha ricevuto un finanziamento di 60mila euro.
                        per la Linea Unimore – Reggio sono
                                                                 Il progetto selezionato per il Macrosettore PE si
                        tre: uno per il  Macrosettore ERC di

                Scienze fisiche, chimiche e ingegneristiche    intitola “CO-OPTION - Human cooperation for the
                                                               sustainable management of public goods under
                – PE, che ha ricevuto un finanziamento di 80mila   institutional punishment and corruption (La coo-




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