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UKRI Trustworthy Autonomous Systems in Health and Social Care Workshop
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Resilience Talk 22 - 6 June 2022, 15:00-16:00 BST
The Missing Links? Broken links and nodes as a way of modelling resilience (or the lack of) in sociotechnical system networks
Professor Neville Stanton, University of Southampton
In this talk I will present resilience from a sociotechnical systems perspective. This perspective considers the interaction between humans and technology within broader systems constraints. For the purposes of this talk, I will show how the failure of information to be exchanged, transacted or communicated between agents and tasks can led to incidents. The approach taken models sociotechnical systems as networks: task networks (to model the interdependencies of taskwork), social networks (to model the relationships between agents) and information networks (to model the information structures) as well as composite networks (which combine the task, social and information networks). The broken links and broken nodes approaches have been used to identify the potential consequences of structural weaknesses in the networks, with the aim of improving the resilience of those networks to disturbances. Whilst the approaches are very much in development, it is hoped that this talk will inspire those attending to apply the methods in their own research.
YorRobots Seminar - 22 June 2022, 13:30-14:30 BST
Mixed Signals: audio and wearable data analysis for health diagnostics
Professor Cecelia Mascolo, University of Cambridge
Wearable and mobile devices are very good proxies for human behaviour. Yet, making the inference from the raw sensor data to individuals’ behaviour remains difficult. The list of challenges is very long: from collecting the right data and using the right sensor, respecting resource constraints, identifying the right analysis techniques, labelling the data, limiting privacy invasion, to dealing with heterogeneous data sources and adapting to changes in behaviour.
In this talk, I plan to reflect on these challenges and highlight the opportunities that mobile and wearable health systems are introducing for community, the developers as well as the users. I will use examples from my group's ongoing research on exploring
machine learning and data analysis for health application in collaboration with epidemiologists and clinicians. In particular I will concentrate a part of the talk on an project focusing on leveraging audio signals from the human body to help automated diagnostics and disease progression analysis.
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Resilience Talk 23 - 4 July 2022, 15:00-16:00 BST
Niki Trigoni , Professor of Computing Science, University of Oxford, UK
TAS Hub Doctoral Training Network Seminars
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TAS Node in Governance and Regulation Seminars
TAS Node in Security Seminars