Progetti internazionali
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Developing an Artificial Social Childhood (ASC) to improve AI causal reasoning, information gathering and decision making
Edutainment4Care - Edutainment4Care: an 'intelligent' edutainment platform for enhancing the well-being of young patients and their families during prolonged hospital stays
Come valutare le competenze pragmatiche nei disturbi del neurosviluppo e in situazioni di multilinguismo per la lingua e la cultura italiana e francese utilizzando un approccio multidisciplinare?
IDEAL - Integrating Data Analysis and AI in Learning experiences
This project aims to introduce and integrate teaching methodologies in Data Analysis and conscious approaches for leveraging AI and AI tools across various higher education disciplines. The project is dedicated to disseminating knowledge and skills in these cutting-edge fields, making… Leggi tutto them accessible and applicable in a wide range of academic contexts, not just those traditionally associated with technology.
EPPONFI - EPPO: A New Frontier in Integration
The creation of European Public Prosecutor’s Office (“EPPO”) is the result of an extensive exercise aimed at strengthening protection of financial interests in the EU and is a paradigm shift in domain of freedom, security, and justice. As the EPPO… Leggi tutto commences its operations, it is necessary for all stakeholders to understand its functioning, impact and the potential of the new “European criminal process”. In particular, it is quintessential to understand the mechanisms of cooperation between the EPPO and the other EU institutions and agencies on the one hand, and the EPPO and other member and non-member States, on the other hand. In view of the landmark changes introduced as a result of the creation of the EPPO, EPPONFI seeks to establish innovative and modern teaching, with research and public engagement on the protection of financial interests in the EU in light of the activities of the EPPO. EPPONFI will focus on the role of the EPPO for the protection of the EU’s financial interests as well as on its effects in the domains of cooperation between law enforcement and the judiciary. Consequently, it seeks to foster integration in the areas of freedom, security, and justice. Presently, Prof. Ubertazzi at UNIMIB is coordinating the ongoing Jean Monnet Module "EPPO and EU Law: a Step Forward in Integration” (STEPPO). With its interdisciplinary and technological approach, this Module is a successful experience. EPPONFI wants to fully exploit its potential. For example, if we obtained new fundings, UNIMIB could further develop its technological tools (i.e. the development of a VR Pilot Case 2 in collaboration with the MiBTec Lab, Psychology Department, UNIMIB) and undertake economic analysis to closely assess the impact of frauds that are detrimental to the EU budget (in collaboration with the Department of Economics, Quantitative Methods and Strategic Business, UNIMIB).
How reward shapes volition: neural correlates of motivated intentional actions
I am where I believe my body is
The role of pathological narcissism in dynamics of interpersonal behavior and affect in psychotherapy
Unveiling the Impact of Expectations on Chronic Pain: An Ecological Momentary Assessment Study
BraveNewWord-The acquisition of new meanings through novel word learning
We learn new words almost on a daily basis: as adults, a new element is introduced in our vocabulary every other day. With new words, we also learn about new objects and ideas - in most cases new words are not… Leggi tutto simply additional labels to be applied to familiar objects: they connote meanings that are unknown to the speaker of a language. However, when we experience, as adults, an unfamiliar word, typically its referent is not immediately available in the same context. How then can language, by itself, constitute such a reliable instrument for the acquisition of novel meanings? What do we exploit to induce new meanings on the basis of an unfamiliar sequence of sounds or graphical elements? BraveNewWord addresses these questions in an innovative multidisciplinary perspective, combining cutting-edge proposals from computational linguistics and empirical investigation techniques from experimental psychology and cognitive neuroscience. BraveNewWord posits three main sources for lexically-driven meaning acquisition: linguistic context, word structure, form-meaning mapping. The project advances a computational framework that models these mechanisms through data-driven, psychologically plausible distributional systems trained on examples of natural language usage. The quantitative characterizations and algorithmic definitions offered by these models constitute, in turn, the basis for BraveNewWord large-scale empirical investigation, involving both behavioral (reaction times, mouse-tracking trajectories, diachronic language changes) and neuroscience data (event-related potentials, neuroimaging). With its innovative perspective and advanced computational and empirical approach, BraveNewWord will constitute a non-incremental contribution to understanding how human speakers use new lexical information as a mean for enriching their semantic system, and provide a ground-breaking perspective on the cognitive processes relating language and thought.
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