The Momentum One Zero EPSRC Impact Acceleration Account (IAA) programme supports early-stage, multidisciplinary projects that apply Secure Connected Intelligence – cybersecurity, wireless connectivity and AI – to real-world challenges.
Through this programme, researchers at Queen’s work with industry and other partners to explore new ideas, generate early evidence of impact, and build pathways towards adoption in health, agri-food, sustainability and beyond.
Behavioural AI for Medication Adherence
This project explores how combining behavioural psychology with conversational AI can improve medication adherence.
Working with a digital health partner, the team is:
- enhancing AI-based reminder and support tools with behavioural “habit formation” insights
- testing how identity-based nudges, stories and psycho-education can make digital agents feel more human and supportive
- aiming to help people take their medicines on time in a way that fits naturally into daily life
By blending pattern recognition and scalability from AI with psychological understanding of behaviour and motivation, the project is exploring a more human-centred approach to digital health support
Small Data, Big Insight: Personal Health Patterns
In collaboration with TIYGA Health, this project looks at how “small data” – the day-to-day details of people’s lives – can be combined with broader environmental data to support better health decisions.
Using TIYGA’s diary-style app, individuals can record:
- how they feel
- symptoms and triggers
- activities, habits and routines
The research team is:
- analysing these personal data streams alongside environmental factors
- helping users identify patterns they might not otherwise notice
- exploring how greater self-understanding can improve consultations, health outcomes and system efficiency
AI for Patient Stories and Early Warning Signals
Healthcare organisations receive huge volumes of written patient feedback, but only a fraction can realistically be read and acted on by staff.
This project works with data from Care Opinion to:
- use AI and natural language processing to analyse large numbers of patient stories
- identify themes, issues and outliers that may require attention
- provide healthcare teams with clearer “early warning signals” drawn from real experiences
The goal is not to replace human judgement, but to:
- surface what matters most within the noise
- help quality improvement teams focus their time where it can have greatest impact
Rapid Prediction of Beef Quality Using Mass Spectrometry
Consumers expect consistent quality when they buy premium products like beef, but traditional methods for assessing quality – such as taste panels – are subjective, time-consuming and costly.
This project, led from the Institute for Global Food Security, is:
- using rapid ionisation mass spectrometry to analyse beef in the lab quickly and objectively
- developing computational models to predict characteristics such as cut type, ageing and quality
- exploring how these tools could support producers, processors and retailers in assuring quality more efficiently
By replacing slow, manual and subjective testing with faster, data-driven methods, the work aims to improve trust and transparency across the supply chain while helping businesses respond more quickly to quality issues.
Food Futures: Whole-Farm Sustainability Assessment
Sustainability is now central to farming and agri-food, but it is complex – spanning environmental, economic and social dimensions.
The Food Futures project is developing a digital smart tool that allows farmers to:
- measure whole-farm sustainability across indicators such as soil health, carbon footprint, productivity and farm family wellbeing
- track progress over time
- identify where changes could have the greatest positive impact
The goal is to give farmers practical, data-informed support for planning and decision-making, while also generating insights for the wider agri-food system.
Across all of these projects, Momentum One Zero provides a neutral, innovation-focused space where researchers, companies and partners can work together; access to Secure Connected Intelligence expertise in cybersecurity, wireless technologies and AI; and dedicated support to help early ideas move from concept to real-world application. Through EPSRC IAA funding and the M1.0 ecosystem, promising ideas are able to progress from “interesting” to “tested, demonstrated and ready for what comes next.” If you’re interested in learning more or exploring opportunities to work with us, please get in touch at momentumonezero@qub.ac.uk.