THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN

VOICES aims to recover the voices and interrogate lived experiences of women in early modern Ireland. Ireland formed part of the British, European and Atlantic world and women there responded to similar sets of transformative processes as other early modern women - proto-globalisation, state formation, confessionalisation, warfare, commercialisation, environmental change, and so on – which facilitates interrogation that is comparative, connected, and entangled. Two ambitious research questions underpin this pioneering project which focuses on Ireland as a case study. (1) What role did women play in a society undergoing profound economic, political, and cultural transformation? (2) What were their experiences of recurring social upheaval, bloody civil war and extreme trauma, especially sexual violence, and how have these been politicised? Our novel approach derives in large part from the interrogation of previously inaccessible historical data, now available digitally. This windfall is exceptional, but the resulting data is unstructured. Innovative technologies transform this unstructured data into knowledge that can be interrogated and visualised. VOICES will then transform the field of history by allowing us to: • recover the marginalised voices, lifecycles, and identities of women in Ireland and assess their contribution to the household, regional and national economies; and relationship to the land (WPs1, 2); • situate the experiences of women in the broader analytical framework of Europe, Britain, and the Atlantic world (WPs1-4); • lay the foundations for further future scholarship on the family, gender, identity, memory, emotion, and trauma in the early modern period (WPs1-4); • produce ontologies that outline key concepts and entities that relate to women and violence that can be reproduced across time and place, which makes VOICES the exemplar of the new and longstanding research questions now answerable by digitisation and associated methodologies (WP0)

EC contribution:

EUR 2.5M

Start:

2023-09-01

End:

2028-08-31

Status:

SIGNED

Scheme:

HORIZON-ERC

Call:

ERC-2022-ADG

View on CORDIS (DOI 10.3030/101097003)

The main objective of the lorAI project is to upgrade the Kempelen Institute of Intelligent Technologies (KInIT) to a leading R&I institution in low resource artificial intelligence (LRAI) in Slovakia and Europe (with help of advanced partners – top European AI research institutes ADAPT, DFKI and CERTH). The core of lorAI’s impact stands on three pillars: 1) nurturing talent and personal capacities, 2) pursuing research excellence in low resource AI (LRAI), and 3) innovation and technology transfer with elaborated outreach programmes. LRAI represents a global research challenge yet is also relevant to the EU region by developing efficient AI operating with limited resources to increase AI availability (for society and industry) and environmental sustainability. Despite tackling the low complexity and computational costs of AI, Centre of Excellence will explore AI applications for the NLP and Green environment (i.e., domains of energy usage optimization, anomaly detection). The activities of the CoE are grouped into ten focused Excellence programs, which, in synergy, contribute to expected impacts overseen by the call and destination by increasing research capacities and competence, funding acquisition capacities, excellent research with societal and economic impact, engagement of industry and wider R&I ecosystem, and internationalization. Aligned to Slovak and EU strategies (e.g., Slovak Smart Specialization, Coordinated Plan on AI, Green Deal), the lorAI project builds on a unique opportunity of ongoing programs (e.g., EUs Recovery and Resilience), importance of AI and environmental challenges, to multiply effects of the measures resulting in improving Slovak R&I culture and stimulate reforms. Thanks to the CoE governance model, autonomy is guaranteed. The diversified budget reduces unexpected disruptions and with cross-cutting themes (international, interdisciplinary, cross-sectoral, transfer oriented) ensures long-term sustainability.

EC contribution:

EUR 1.2M

Start:

2025-03-01

End:

2031-02-28

Status:

SIGNED

Scheme:

HORIZON-CSA

Call:

HORIZON-WIDERA-2023-ACCESS-01

View on CORDIS (DOI 10.3030/101136646)

RES-Q+ will build on the success of RES-Q (REgistry of Stroke Care Quality) - currently, used by many EU countries and 74 worldwide - to improve stroke care quality by collecting and analyzing hospital discharge reports. RES-Q+ will revolutionize these improvements by capturing the whole patient pathway. The solution will combine NLP with a clinically-validated semantic model to automate ingestion of hospital discharge reports in different languages and assist with audit and feedback. This will include creating a standard model for such reports and using AI to impute missing data. Further augmentations include the creation of two novel AI voice assistants, one to help patients provide feedback on their health and the other to help physicians provide high quality care. We will integrate all these tools into RES-Q+. This will be the basis for a European Open Stroke Data Platform, an open research platform for data aggregation, semantic harmonization and interoperability across European countries to promote the use and re-use of health data. We will facilitate efforts to define a standard European Stroke Hospital Discharge Report Exchange Format as a tool for better secondary use of data and healthcare in general. Consortium legal partners will develop a comprehensive legal and ethical toolbox as guidance towards legal compliance. This will boost wider adoption of such novel AI-based solutions by integrating all current and proposed Union legislation. Our clinical partners will provide medical records and steer the development to maximize clinical utility and validate final solutions. RES-Q+ will be deployed globally to solidify our position as European and global leader in quality improvement. Eventually we will guarantee citizens a similar level of quality control during hospitalizations as when flying in a commercial plane.

EC contribution:

EUR 51k

Start:

2022-11-01

End:

2026-10-31

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-HLTH-2021-TOOL-06

View on CORDIS (DOI 10.3030/101057603)

Based on previously developed models and an existing prototype of a clinical decision support system (patent pending), we set out in this project to further develop, test, and validate this clinical decision support for the treatment stratification of acute stroke patients to improve patient outcome. Machine learning (ML)-enabled Artificial intelligence (AI) methods are increasingly adopted in the medical field. Implementing ML-based CDSSs have the potential to be go beyond the current clinical state-of-the-art as AI excels at finding complex and non-linear relationships across a multitude of prognostic variables. AI also has the promise to combine different modalities, such as imaging and clinical values, leading to powerful stratification tools accounting for a multitude of patient sub-populations. Our consortium combines excellence in technical and medical machine learning development with the clinical expertise of three leading stroke hospital partners. Additionally, our consortium benefits from the special expertise in the development of trustworthy AI, software design, and the translation of AI models to the clinical setting with focus on the regulatory process. By leveraging the available medical data and exploiting technological opportunities in the field of AI, and developing and validating trustworthy AI solutions to be implemented in the clinical workflow we are seeking to surpass the clinical state-of-the-art by making a significant and sustainable impact on the treatment of acute stroke that will improve patient survival, outcome and quality of life. The results of our work will serve as a pathway for future projects and we will make our experiences public in the form of standard operating procedures (SOPs) in the areas of development, testing, validation, and regulatory processes.

EC contribution:

EUR 47k

Start:

2022-05-01

End:

2026-04-30

Status:

SIGNED

Scheme:

HORIZON-RIA

Call:

HORIZON-HLTH-2021-DISEASE-04

View on CORDIS (DOI 10.3030/101057263)