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University of Trento

University of Trento

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385 Projects, page 1 of 77
  • Funder: European Commission Project Code: 700057
    Overall Budget: 180,277 EURFunder Contribution: 180,277 EUR

    In the literature on numerical cognition, vision was for a long time assumed to play an important role in the development of number representations. In line with this idea, I recently demonstrated that congenitally blind (CB) present a qualitatively different representation of numbers by comparison to their sighted peers. In this project, I propose to further explore with fMRI techniques whether the CB qualitative different numerical representation is supported by specific cerebral reorganisation of the brain. I also propose to examine whether the qualitative different numerical representations of CB could delay the acquisition of numerical concepts in childhood. I finally propose to explore the extent to which this knowledge of the blind’s numerical representation could be extended to the elaboration of a multisensory mathematics teaching program. I advocate the idea that this research program is crucial because poor mathematical competencies are common among adults and result in employment and day-to-day activities difficulties. Further research into multisensory access to numerical information could therefore lead to education benefits in teaching mathematics to young children but could also promote interventions that target specific mathematical deficits. I am uniquely suited for working on this project due to a number of parallels between the skills the proposed project requires, and the skills I possess. This includes: 1) my successful collaborations with Dr Collignon in the past; 2) good inter-personal skills; 3) my strong background in the research topic; 4) working with a variety of participant populations, and combining different methodologies. If funded, the present project will allow me to continue to explore a large overarching question by applying my pre-existing knowledge to a broader range of experimental techniques and topics - a vital skill to become an independent researcher in Europe.

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  • Funder: European Commission Project Code: 267856
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  • Funder: European Commission Project Code: 101029634
    Overall Budget: 183,473 EURFunder Contribution: 183,473 EUR

    Synthetic biology aims to exercise control in the design, characterization and construction of living organisms and biological parts. No longer the domain of science fiction literature, it has progressed by leaps and bounds in recent years, accompanied by great promises and grave risks. Law and governance lag behind. Lab experimentation and field trials take place in a legal vacuum. On top of companies and research institutes, a vibrant do-it-yourself community is engaged in research, claiming to democratize innovation. Global deliberations on the environmental and socio-economic impacts have only recently begun under the auspices of UN multilateral environmental agreements, and policy-relevant academic analysis is urgently needed. Based on my academic record in international environmental law and governance of novel technologies and my empirical knowledge of intergovernmental negotiations, complemented by training in socio-legal methodologies during the fellowship, I will develop a new integrative framework for the governance of synthetic biology. It will be built upon: a) an assessment of the current state of international law and governance, including an analysis of regulatory gaps and novel normative challenges; b) an examination of existing theoretical frameworks on risk management and responsible research and innovation, including gendered approaches to risk that have been understudied to date; and c) a typology of actors involved in synthetic biology research, including an analysis of who does what, why, and how they envisage regulation, with a particular focus on gene editing in agriculture. Aiming at improving accountability and enhancing legitimacy, both of law and governance and of the innovation process, this framework will not only bridge gaps in scholarly efforts but will also facilitate decision making, ensuring that synthetic biology applications promote the global objectives of food security, sustainable agriculture and environmental protection.

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  • Funder: European Commission Project Code: 101082216
    Funder Contribution: 55,000 EUR

    The aim of this Design Measures proposal is to develop an Erasmus Mundus joint masters degree in Complex and Adaptive Systems Across Robotics, Biology, Art and Design (ABRAx). The program will prepare students for working creatively and collaboratively across industry, society and technology with the necessary skills and preparedness to respond to major challenges concerning the environment, inclusion, health, and sustainability. Envisioning and developing innovative and sustainable solutions requires familiarity with methods and knowledge across disciplines and the ability to collaborate across sectors and disciplines, with knowledge that spans natural sciences, engineering, arts and humanities. The programme thus proposes the development of two tracks (MA and MSc) that combine knowledge expertise and cultivates interdisciplinary skills to address common goals through the development of highly-specialized, diversified profiles. The project is led by University of Trento (IT, UNITN), and involves Aalborg University (DK, AAU), Maholy-Nagy University for Art and Design (HU, MOME) and Gothenburg University (SE, GU). The proposed EMJM degree addresses a clear need from the perspective of sustainability, as there are very few HEIs that offer degree programs that balance the scientific, industrial, social, and cultural dimensions of sustainability. Furthermore, virtually none of these educational programs have a clear design focus, which is surprising given the importance of Design Thinking in industry and the relevance of bio-inspired design in the development of sustainable products and solutions.

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  • Funder: European Commission Project Code: 963463
    Funder Contribution: 150,000 EUR

    ALPI aims at the integration of a photonic neural network within an optical transceiver to increase the transmission capacity of the optical link. Based on a deep learning approach, the new compact device provides real time compensation of fiber nonlinearities which degrade optical signals. In fact, the tremendous growth of transmission bandwidth both in optical networks as well as in data centers is baffled by the optical fiber nonlinear Shannon capacity limit. Nowadays, computational intensive approaches based on power hungry software are commonly used to mitigate fiber nonlinearities. Here, we propose to integrate in the optical link the neuromorphic photonic circuits which we are currently developing in the ERC-AdG BACKUP project. Specifically, the proposed error-correction circuit implements a small all-optical complex-valued neural network which is able to recover distortion on the optical transmitted data caused by the Kerr nonlinearities in multiwavelength optical fibers. Network training is realized by means of efficient gradient-free methods using a properly designed data-preamble. A new neuromorphic transceiver demonstrator realized in active hybrid Si/InP technology will be designed, developed and tested on a 100 Gbps 80 km long optical link with multiple-levels symbols. The integrated neural network will mitigate the nonlinearities either by precompensation/autoencoding at the transmitter TX side or by data correction at the receiver RX side or by concurrently acting on both the TX and RX sides. This achievement will bear to the second ALPI’s goal: moving from the demonstrator to the industrialization of the improved transceiver. For this purposes, patents will be filed and a business plan will be developed in partnership with semiconductor, telecom and IT companies where a path to the commercialization will be individuated. The foreseen market is the big volume market of optical interconnection in large data centers or metro networks.

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