Projects @LLC

This project addresses the issue of uncertainty in the health sciences, by identifying its sources and employing recent developments in Bayesian epistemology, causal modeling, and logic to make uncertainty more explicit and manageable. The goal of the project is to enhance the reliability of scientific inferences and health policies by developing practical tools to reduce uncertainty.

Funded through the Italian Ministry of Research in the PRIN/PNRR scheme with the Next Generation EU program, the project is led by Alexander Gebharter (Marche Polytechnic University) and Lorenzo Rossi (University of Turin), alongside a team of researchers from both universities (Andrea Carsetti, Aldo Dragoni, Barbara Osimani, Michał Sikorski, Matteo Baggio, Vincenzo Crupi, Andrea Iacona).

For more details, visit the project website: https://cpsp.univpm.it/research/projects/cuuhs/

Things can have various kinds of properties: properties such as shapes, colours, and sounds are low-order properties; properties that depend on their instantiation on the former are higher-order properties. Suppose, as is standard in the philosophical literature, that low-order properties are perceivable. Are some higher-order properties perceivable too? 

Despite a lively debate on this topic in recent philosophy, the question is far from settled. The Higher-Order Perceivable Properties project (HOPP) will advance this debate by pursuing a novel and groundbreaking approach. HOPP’s aim is to identify philosophically sound necessary and jointly sufficient conditions for a property to be perceivable which may apply both to low-order and to higher-order properties. This will enable HOPP to systematically assess the perceivability of each candidate higher-order property according to a unitary criterion.

HOPP’s results will have wider philosophical implications. First, a unitary criterion for property perceivability can explain if and howthe perception of higher-order properties is hierarchically organized, just as the perception of such properties is with respect to the perception of the low-order properties on which they depend. Second, it may give a principled answer to the question of up to what extent the perception of higher-order properties is cognitively penetrated, i.e., it is influenced by the contents of cognitive states of the mind. Third, by assessing up to what extent higher-order properties are objects of noticing, it may help one to clarify the relationship between perception and attention. Moreover, it may provide the theoretical foundations for future empirical research, as the unitary criterion may be tested for its empirical adequacy by checking whether the apprehension of the perceivable higher-order properties is indeed implemented in the perceptual areas of the brain. Finally, identifying which higher-order properties are perceivable may contribute to the development of effective artificial intelligence in the robotics field, especially in contexts where human-robot interaction is important, and to the design of artefacts that are more easily recognizable and usable.

Funded through the Italian Ministry of Research in the PRIN/PNRR scheme with the Next Generation EU program, the project is led by Alberto Voltolini. 

This project addresses the issue of uncertainty in the health sciences, by identifying its sources and employing recent developments in Bayesian epistemology, causal modeling, and logic to make uncertainty more explicit and manageable. The goal of the project is to enhance the reliability of scientific inferences and health policies by developing practical tools to reduce uncertainty.

Funded through the Italian Ministry of Research in the PRIN/PNRR scheme with the Next Generation EU program, the project is led by Alexander Gebharter (Marche Polytechnic University) and Lorenzo Rossi (University of Turin), alongside a team of researchers from both universities (Andrea Carsetti, Aldo Dragoni, Barbara Osimani, Michał Sikorski, Matteo Baggio, Vincenzo Crupi, Andrea Iacona).

For more details, visit the project website: https://cpsp.univpm.it/research/projects/cuuhs/

Things can have various kinds of properties: properties such as shapes, colours, and sounds are low-order properties; properties that depend on their instantiation on the former are higher-order properties. Suppose, as is standard in the philosophical literature, that low-order properties are perceivable. Are some higher-order properties perceivable too? 

Despite a lively debate on this topic in recent philosophy, the question is far from settled. The Higher-Order Perceivable Properties project (HOPP) will advance this debate by pursuing a novel and groundbreaking approach. HOPP’s aim is to identify philosophically sound necessary and jointly sufficient conditions for a property to be perceivable which may apply both to low-order and to higher-order properties. This will enable HOPP to systematically assess the perceivability of each candidate higher-order property according to a unitary criterion.

HOPP’s results will have wider philosophical implications. First, a unitary criterion for property perceivability can explain if and howthe perception of higher-order properties is hierarchically organized, just as the perception of such properties is with respect to the perception of the low-order properties on which they depend. Second, it may give a principled answer to the question of up to what extent the perception of higher-order properties is cognitively penetrated, i.e., it is influenced by the contents of cognitive states of the mind. Third, by assessing up to what extent higher-order properties are objects of noticing, it may help one to clarify the relationship between perception and attention. Moreover, it may provide the theoretical foundations for future empirical research, as the unitary criterion may be tested for its empirical adequacy by checking whether the apprehension of the perceivable higher-order properties is indeed implemented in the perceptual areas of the brain. Finally, identifying which higher-order properties are perceivable may contribute to the development of effective artificial intelligence in the robotics field, especially in contexts where human-robot interaction is important, and to the design of artefacts that are more easily recognizable and usable.

Funded through the Italian Ministry of Research in the PRIN/PNRR scheme with the Next Generation EU program, the project is led by Alberto Voltolini. 

This project addresses the issue of uncertainty in the health sciences, by identifying its sources and employing recent developments in Bayesian epistemology, causal modeling, and logic to make uncertainty more explicit and manageable. The goal of the project is to enhance the reliability of scientific inferences and health policies by developing practical tools to reduce uncertainty.

Funded through the Italian Ministry of Research in the PRIN/PNRR scheme with the Next Generation EU program, the project is led by Alexander Gebharter (Marche Polytechnic University) and Lorenzo Rossi (University of Turin), alongside a team of researchers from both universities (Andrea Carsetti, Aldo Dragoni, Barbara Osimani, Michał Sikorski, Matteo Baggio, Vincenzo Crupi, Andrea Iacona).

For more details, visit the project website: https://cpsp.univpm.it/research/projects/cuuhs/

Things can have various kinds of properties: properties such as shapes, colours, and sounds are low-order properties; properties that depend on their instantiation on the former are higher-order properties. Suppose, as is standard in the philosophical literature, that low-order properties are perceivable. Are some higher-order properties perceivable too? 

Despite a lively debate on this topic in recent philosophy, the question is far from settled. The Higher-Order Perceivable Properties project (HOPP) will advance this debate by pursuing a novel and groundbreaking approach. HOPP’s aim is to identify philosophically sound necessary and jointly sufficient conditions for a property to be perceivable which may apply both to low-order and to higher-order properties. This will enable HOPP to systematically assess the perceivability of each candidate higher-order property according to a unitary criterion.

HOPP’s results will have wider philosophical implications. First, a unitary criterion for property perceivability can explain if and howthe perception of higher-order properties is hierarchically organized, just as the perception of such properties is with respect to the perception of the low-order properties on which they depend. Second, it may give a principled answer to the question of up to what extent the perception of higher-order properties is cognitively penetrated, i.e., it is influenced by the contents of cognitive states of the mind. Third, by assessing up to what extent higher-order properties are objects of noticing, it may help one to clarify the relationship between perception and attention. Moreover, it may provide the theoretical foundations for future empirical research, as the unitary criterion may be tested for its empirical adequacy by checking whether the apprehension of the perceivable higher-order properties is indeed implemented in the perceptual areas of the brain. Finally, identifying which higher-order properties are perceivable may contribute to the development of effective artificial intelligence in the robotics field, especially in contexts where human-robot interaction is important, and to the design of artefacts that are more easily recognizable and usable.

Funded through the Italian Ministry of Research in the PRIN/PNRR scheme with the Next Generation EU program, the project is led by Alberto Voltolini. 

 Reasoning with hypotheses and its forms are a matter of strongly interdisciplinary research. The overarching goal of our project is to meet the challenge of this interdisciplinarity requirement, following an underlying and powerful trend in reasoning and decision-making research. Specific strands of the project will advance current knowledge on open philosophical and scientific problems in non-monotonic, conditional, and counterfactual reasoning, the foundations of strategic behavior, and the representation and management of uncertainty, with significant implications in the medical and legal domain.

The project is funded through the Italian Ministry of Research in the PRIN/PNRR scheme with the Next Generation EU program. 

“What, then, are atmospheres? If no one asks me, I know; if I want to explain it to a questioner, I don’t know.” ATMOS’s aim is to explain what they are and how to individuate them, and to understand how they can be grasped and created, so as to find a new start in the extant debate concerning them.

“Atmospheres (ATMOS): What They Are and How They Are Grasped” is a two-year research project in the philosophy of mind and aesthetics, funded by the Italian Ministry of University, Education, and Research (MUR) as a Progetto di Rilevante Interesse Nazionale (PRIN).

The research is funded through the Italian Ministry of Research in the PRIN/PNRR scheme with the Next Generation EU program and led by Elvira Di Bona (University of Turin).  It is a collaborative project conducted at the universities of Turin, Genoa, Ca' Foscari Venice, and Vita-Salute San Raffaele (Milan). It involves local research teams, joint workshops, and conferences and is supported by a total amount of ca. 230,000 €.