ERC FUNDED PROJECTS

"Recent developments in image-making techniques have resulted in a drastic blurring of the threshold between the world of the image and the real world. Immersive and interactive virtual environments have enabled the production of pictures that elicit in the perceiver a strong feeling of being incorporated in a quasi-real world. In doing so such pictures conceal their mediateness (their being based on a material support), their referentiality (their pointing to an extra-iconic dimension), and their separateness (normally assured by framing devices), paradoxically challenging their status as images, as icons: they are veritable “an-icons”. This kind of pictures undermines the mainstream paradigm of Western image theories, shared by major models such as the doctrine of mimesis, the phenomenological account of image-consciousness, the analytic theories of depiction, the semiotic and iconological methods. These approaches miss the key counter-properties regarding an-icons as ""environmental"" images: their immediateness, unframedness, and presentness. Subjects relating to an-icons are no longer visual observers of images; they are experiencers living in a quasi-real environment that allows multisensory affordances and embodied agencies. AN-ICON aims to develop “an-iconology” as a new methodological approach able to address this challenging iconoscape. Such an approach needs to be articulated in a transdisciplinary and transmedial way: 1) HISTORY – a media-archaeological reconstruction will provide a taxonomy of the manifold an-iconic strategies (e.g. illusionistic painting, pre-cinematic dispositifs, 3D films, video games, head mounted displays); 2) THEORY – an experiential account (drawing on phenomenology, visual culture and media studies) will identify the an-iconic key concepts; 3) PRACTICES – a socio-cultural section will explore the multifaceted impact of an-iconic images, environments and technologies on contemporary professional domains as well as on everyday life. "

2 328 736 €

Start date: 2019-09-01, End date: 2024-08-31

The goal of the ARS project is the derivation of a unified framework for the autonomous execution of robotic tasks in challenging environments in which accurate performance and safety are of paramount importance. We have chosen surgery as the research scenario because of its importance, its intrinsic challenges, and the presence of three factors that make this project feasible and timely. In fact, we have recently concluded the I-SUR project demonstrating the feasibility of autonomous surgical actions, we have access to the first big data made available to researchers of clinical robotic surgeries, and we will be able to demonstrate the project results on the high performance surgical robot “da Vinci Research Kit”. The impact of autonomous robots on the workforce is a current subject of discussion, but surgical autonomy will be welcome by the medical personnel, e.g. to carry out simple intervention steps, react faster to unexpected events, or monitor the insurgence of fatigue. The framework for autonomous robotic surgery will include five main research objectives. The first will address the analysis of robotic surgery data set to extract action and knowledge models of the intervention. The second objective will focus on planning, which will consist of instantiating the intervention models to a patient specific anatomy. The third objective will address the design of the hybrid controllers for the discrete and continuous parts of the intervention. The fourth research objective will focus on real time reasoning to assess the intervention state and the overall surgical situation. Finally, the last research objective will address the verification, validation and benchmark of the autonomous surgical robotic capabilities. The research results to be achieved by ARS will contribute to paving the way towards enhancing autonomy and operational capabilities of service robots, with the ambitious goal of bridging the gap between robotic and human task execution capability.

2 750 000 €

Start date: 2017-10-01, End date: 2022-09-30

Development economists and policymakers often face scenarios in which poor people do not make choices that would help them get out of poverty due to an “aspiration failure”: the poor perceive certain goals as unattainable and do not invest towards those goals, thus perpetuating their own state of poverty. The aim of this proposal is to improve our understanding of the relationship between aspirations and socio-economic outcomes of disadvantaged individuals, in order to answer the question: Can we design policy interventions that shift aspirations in a way that is conducive to development? In addressing the above question a fundamental role is played by social norms and by the ability of individuals to coordinate on “new” aspirations, hence the analysis of social effects is a salient feature of this proposal. The proposed research is organized in two workpackages. The first focuses on the media as a vehicle for changing aspirations, examining both commercial TV programs and “educational entertainment”. The second workpackage examines “tailored” interventions designed to address specific determinants of aspiration failures (e.g., psychological support to reduce perceived barriers; inter-racial interaction to change stereotypes; institutional reform to strengthen women’s rights and reduce the gender aspiration gap). The methodology will involve rigorous evaluation of several interventions directly designed to or indirectly affecting aspirations and social norms. Original data collected through survey work, large administrative datasets and media content analysis will be used. The results of this project will advance our knowledge on the sources of aspiration failures by poor people and on the interplay between aspirations and social norms, eventually opening the avenue for a new array of anti-poverty policies.

1 618 125 €

Start date: 2016-11-01, End date: 2021-10-31

I will address the fundamental question of which is the role of neuron activity and plasticity in information elaboration and storage in the brain. I, together with an interdisciplinary team, will develop a hybrid neuro-morphic computing platform. Integrated photonic circuits will be interfaced to both electronic circuits and neuronal circuits (in vitro experiments) to emulate brain functions and develop schemes able to supplement (backup) neuronal functions. The photonic network is based on massive reconfigurable matrices of nonlinear nodes formed by microring resonators, which enter in regime of self-pulsing and chaos by positive optical feedback. These networks resemble human brain. I will push this analogy further by interfacing the photonic network with neurons making hybrid network. By using optogenetics, I will control the synaptic strengthen-ing and the neuron activity. Deep learning algorithms will model the biological network functionality, initial-ly within a separate artificial network and, then, in an integrated hybrid artificial-biological network. My project aims at: 1. Developing a photonic integrated reservoir-computing network (RCN); 2. Developing dynamic memories in photonic integrated circuits using RCN; 3. Developing hybrid interfaces between a neuronal network and a photonic integrated circuit; 4. Developing a hybrid electronic, photonic and biological network that computes jointly; 5. Addressing neuronal network activity by photonic RCN to simulate in vitro memory storage and retrieval; 6. Elaborating the signal from RCN and neuronal circuits in order to cope with plastic changes in pathologi-cal brain conditions such as amnesia and epilepsy. The long-term vision is that hybrid neuromorphic photonic networks will (a) clarify the way brain thinks, (b) compute beyond von Neumann, and (c) control and supplement specific neuronal functions.

2 499 825 €

Start date: 2018-11-01, End date: 2023-10-31