Abstract

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Speaker: Bianca Schor

Title: Leveraging Machine Learning for women’s health: towards better endometriosis diagnosing tools

Abstract: Endometriosis is a life-long condition that affects about 10% of the world population assigned female at birth. In the UK, the average time to be diagnosed from the onset of symptoms is currently 8 years. To reduce this delay, a number of research projects leveraging machine learning models are being developed based on different types of health data. Although those models yield promising accuracy, because of the lack of interpretation, the limitations of the datasets used, and the complexity of diagnosing endometriosis, it is non-trivial to gain people’s trust for their real deployment in healthcare systems. In this talk, I will review the key challenges and benefits of some of the leading research projects in the field and outline further opportunities to improve endometriosis diagnosing with ML models.

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Speaker: Minja Axelsson (pronounced “Minya”)

Title: Robotic Coaches for Mental Well-being

Abstract: Robotic coaches for mental well-being could help people maintain their well-being through exercises such as mindfulness or positive psychology. But how should such robots be designed and implemented? And how do users perceive such robots in the short and long term? In this talk, I will present robotic mental well-being coaches from design to real-world deployment.

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Speaker: Anna Hudig

Title: Surfacing the hidden risks of consumer Internet of Things: a technical and legal perspective on consumer IoT data transmission

Abstract: Do you know what happens with the data gathered by our home security cameras, fitness trackers and other smart devices? The rapid growth of consumer Internet of Things (IoT) gives rise to an increasing capacity for data collection in and around consumer homes. This dynamic, interconnected and opaque physical infrastructure may amplify existing privacy and data protection concerns related to digital data.

This interdisciplinary study deploys technical and legal tools to highlight concerns around consumer rights and data flows in IoT. By monitoring data transmission, analysing legal documents and executing our data rights, I explore the extent to which the behaviour of consumer IoT devices is currently aligned with data protection law.

You may leave this talk with a different view on your smart home devices.