Aisling Third's profile document
Description for Aisling Third
Aisling Third
Aisling Third
Aisling
Third
Research Fellow
I'm interested in the use of semantic technologies and natural language semantics and generation to improve both intelligent systems and services, and human interactions with them. The Semantic Web and Linked Data platforms offer a great opportunity for standards-based applications to a wide variety of domains, and I have a particular interest in using such approaches to improve patient experience and care.
My background is in formal semantics and philosophy, and I am interested in the use of practical computing applications to feed back into theoretical advances, and vice versa.
7e0504484aa2e730161fe1283383b0215208e724
The Open University account for Aisling Third
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Aisling Third's membership at KMi
Aisling Third's participation in GenAI-OU
GenAI-OU
GenAI-OU
Generative AI at the Open University
Together with colleagues from IET, LDS and other OU schools and units, we are looking into the ways that Generative AI, such as ChatGPT and Stable Diffusion, can enhance teaching and learning at the OU. Towards this goal, we are developing, testing and evaluating Generative AI prototypes for improving OU module production and for offering personalised learning services to our students.
Aisling Third's participation in VPH-Share
VPH-Share
VPH-Share
2011-03-01
2015-02-28
Virtual Physiological Human: Sharing for Healthcare
VPH-Share will provide the organisational fabric (the infostructure) realised as a series of services, offered in an integrated framework, to expose and to manage data, information and tools, to enable the composition and operation of new VPH workflows and to facilitate collaborations between the members of the VPH community.
Aisling Third's participation in CARRE
CARRE
CARRE
2013-11-01
2016-10-31
Personalised patient empowerment for cardiorenal comorbidities
The CARRE project investigates information and communication technologies for empowering patients with comorbidities (multiple co-occurring medical conditions), or persons with increased risk of such conditions, especially in the case of chronic cardiac and renal disease patients.
KMi will provide the semantic "glue" linking biometric sensor data, medical ontologies and Linked Data together for patient-focused decision support and medical education.
The CARRE project has received a 3-year EC funding from the European Community 7th Framework Programme FP7-ICT-2013 work programme under grant agreement no. 611140.
Aisling Third's participation in Up2U
Up2U
Up2U
2017-01-01
2019-12-31
Bridging the gap between schools and universities through informal education
The key objective of the project is to bridge the gap between secondary schools and higher education & research by better integrating formal and informal learning scenarios and adapting both the technology and the methodology that students will most likely be facing in universities.
We are focusing on the context of secondary schools, often referred to as high schools, which provide secondary education between the ages of 11 and 19 depending on the country, after primary school and before higher education.
This initiative aims to respond to the requirements of a clear mandate from the European Commission allied with the provision of new cloud-based tools and services to enhance primary and secondary education in Europe.
Up2U is a 36 month collaborative project with 5M Euro funding that kicked off in January this year. This project is coordinated by GÉANT and gathers 18 partners from 12 countries across Europe including NRENs, traditional and open universities, infrastructure providers and two commercial partners.
Aisling Third's participation in IMPAQT
IMPAQT
IMPAQT
2018-05-01
2021-05-01
Intelligent management system for integrated multi-trophic aquaculture
Integrated Multi-Trophic Aquaculture (IMTA) is acknowledged as a promising solution for the sustainable development of aquaculture. However, IMTA has been only tested at very small scale in Europe, while management of large-scale IMTA areas remains difficult.
The high level ambition of Impaqt project is to drive a paradigm shift in EU Industry, paving the way to both a more environmentally friendly and more efficient/higher yielding European Industry. To that respect, Impaqt proposes an intelligent management platform for IMTA. Impaqt will develop and deploy novel sensors and data sources, together with smart systems required for long term autonomous monitoring in the field. An advanced IMTA model will be provided which yields spatially explicit information on how the different farm components interact with the environment on the scale of an ecosystem and that can be used for planning decisions by both farmers and regulators. Last but not least, an integrated management system, operating at the scale of an IMTA farm and comprising analytics and decision support functionalities, will be developed to enable enhanced operational decisions for animal welfare, production optimization, environmental protection and food quality assessment.
Impaqt systems and models will be validated in 6 pilots (Scotland, The Netherlands, Ireland, Turkey and China), addressing inland, coastal and offshore aquaculture. Impaqt will demonstrate the eco-intensification of EU aquaculture, by demonstrating the eco-efficiency and the environmental impacts minimized, the socioeconomic benefits and ecosystem services enabled, as well as the transition towards a circular economy business model. Impaqt brings together a considerable range of partners including 14 academic/research organizations, 4 SMEs and 3 large industries, all leaders in their respective fields/business, while aims to effectively transfer the project’s results to relevant stakeholders through training activities. Impaqt is a Horizon 2020 project
Aisling Third's participation in AI4EDI
AI4EDI
AI4EDI
AI technologies to tackle EDI related issues
AI is here. We interact with AI technology every time we search online, interact on a social media platform or use a credit card. We know that AI can be a force for good, for example, OU Analyse uses machine learning to help identify students at risk of failing. Given the ubiquity of this technology, it is important though that we understand its potential impact, good and bad, for all users. Within AI4EDI we will highlight EDI issues related to AI research and innovation. In particular, how AI can help address EDI issues, such as the awarding gap for black students, and EDI challenges that can be present in AI systems, such as data and decision-making bias.
Aisling Third's participation in SAGE-RAI
SAGE-RAI
SAGE-RAI
2023-12-01
2025-05-31
Smart Assessment and Guided Education with Responsible AI
Can responsible Generative AI (GenAI) lead to improved student outcomes? In SAGE-RAI, we utilise partner-applied education-oriented GenAI tools to explore this. Inspired by Bloom's 1984 study on 1-to-1 teaching's efficacy and the potential for cost-effective, scalable personalised education, we aim to unlock this potential. Addressing tutor limitations in accommodating large cohorts, we investigate how responsible GenAI can enhance tutoring, offer tailored more personalised learning experiences and generate student feedback. Our goal is to create a platform supporting assessment and student guidance while responsibly applying GenAI, addressing challenges of misinformation, copyright, and bias. The journey embodies educational innovation for better outcomes.