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McGill University

ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING MCGILL UNIVERSITY
Country: Canada

McGill University

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34 Projects, page 1 of 7
  • Funder: European Commission Project Code: 101187937
    Overall Budget: 2,999,900 EURFunder Contribution: 2,999,900 EUR

    AIOLIA gives a robust 3-tier response to the complex challenges posed by the need to operationally interpret the EU AI Act and global AI regulation. (1) Recognizing the gap between ethical values and their practical application in engineering, AIOLIA pioneers a bottom-up approach to operationalize AI ethics with regard to human condition and behaviour. Following a selection of real-world use cases, AIOLIA translates high-level principles into actionable and contextual guidelines co-created by leading academic, policy, and ethics-aware industrial partners who represent diverse professional and geographic European and international contexts. (2) AIOLIA's commitment to context-sensitivity is deepened by crafting modular, inclusive training materials following the ADDIE methodology designed to cater to diverse learning needs. Hosted on the Embassy of Good Science, AIOLIA materials will range from lectures, videos, and mock reviews to such innovative formats as podcasts, Tiktoks, and a chatbot teaching AI ethics. (3) AIOLIA's outreach is amplified by encompassing 7 research ethics and integrity networks and 3 prominent computer science networks. This strategic alignment enables us to effectively recruit training participants and disseminate human-centric ethics guidelines to a wide spectrum of stakeholders, from ethics experts to early-stage researchers and policymakers worldwide. Resolutely European, AIOLIA's vision propagates beyond EU, embracing global cooperation with leading universities and think tanks in China, South Korea, Japan, and Canada. Utilizing UNESCO platform with its reach to Africa and South Asia, AIOLIA’s guidelines evolve into an analytic toolbox for key international AI dialogues and processes. This global perspective ensures that AIOLIA's impact is not only significant but also sustainable, contributing to fair scientific cooperation and providing concrete and culturally informed ethics instruments to shape the next generation of AI systems.

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  • Funder: European Commission Project Code: 201413
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  • Funder: European Commission Project Code: 825903
    Overall Budget: 6,039,980 EURFunder Contribution: 5,395,290 EUR

    euCanSHare will develop the first centralised, secure and sustainable platform for enhanced cross-border data sharing and multi-cohort personalised medicine research in cardiology. At its heart, the platform will contain the most comprehensive cardiovascular data catalogue ever assembled, which will facilitate data discoverability and exploitation in full alignment with the FAIR principles. The project will implement the interoperability of currently fragmented yet mature IT solutions developed by the consortium members for generating a comprehensive multi-functionality platform. It will also integrate major cardiovascular data sources from Europe and Canada, including the renowned MORGAM, BiomarCaRE and CAHHM initiatives. euCanSHare’s legal framework will be built through detailed ethical and legal interoperability analysis, while investigating innovative solutions for promoting responsible Open Science based on the emerging blockchain technology. Initially populated with 35 European and Canadian cohorts (corresponding to about one million records), the platform will provide extensive functionalities, including for data deposition, data harmonisation and quality control, which will support the integration of new cohorts beyond the duration of the project, thus ensuring its scalability. Moreover, sustainability will be targeted by leveraging through our multi-disciplinary partners the most established data infrastructures, namely ELIXIR, EGA, BBMRI and euro-BioImaging in Europe, as well as Maelstrom from Canada. The unique features of the platform will be demonstrated and adjusted through several use cases, including for biomarker validation, knowledge discovery, cardiovascular risk assessment, public health research and industry-driven studies. Furthermore, intensive outreach campaigns and hands-on workshops will be organised to attract a range of stakeholders, data providers and end-users from the academic, public health and industrial sectors.

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  • Funder: European Commission Project Code: 602139
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  • Funder: European Commission Project Code: 257993
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