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SUMMARY:Women@CL Talkets - Bianca Schor\, Minja Axelsson\, Anna Hudig
DTSTART:20221111T130000Z
DTEND:20221111T140000Z
UID:TALK192671@talks.cam.ac.uk
CONTACT:Kayla-Jade Butkow
DESCRIPTION:-----------------------------------------------\n\n*Speaker*: 
 Bianca Schor\n\n*Title*: Leveraging Machine Learning for women's health: t
 owards better endometriosis diagnosing tools\n\n*Abstract*: Endometriosis 
 is a life-long condition that affects about 10% of the world population as
 signed 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 numbe
 r of research projects leveraging machine learning models are being develo
 ped based on different types of health data. Although those models yield p
 romising accuracy\, because of the lack of interpretation\, the limitation
 s of the datasets used\, and the complexity of diagnosing endometriosis\, 
 it is non-trivial to gain people’s trust for their real deployment in he
 althcare systems. In this talk\, I will review the key challenges and bene
 fits of some of the leading research projects in the field and outline fur
 ther opportunities to improve endometriosis diagnosing with ML models.\n\n
 -----------------------------------------------\n\n*Speaker*: Minja Axelss
 on (pronounced "Minya")\n \n*Title*: Robotic Coaches for Mental Well-being
 \n \n*Abstract*: Robotic coaches for mental well-being could help people m
 aintain their well-being through exercises such as mindfulness or positive
  psychology. But how should such robots be designed and implemented? And h
 ow 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-wor
 ld deployment. \n\n-----------------------------------------------\n\n*Spe
 aker*: Anna Hudig\n\n*Title*: Surfacing the hidden risks of consumer Inter
 net of Things: a technical and legal perspective on consumer IoT data tran
 smission\n \n*Abstract*: Do you know what happens with the data gathered b
 y our home security cameras\, fitness trackers and other smart devices? Th
 e rapid growth of consumer Internet of Things (IoT) gives rise to an incre
 asing capacity for data collection in and around consumer homes. This dyna
 mic\, interconnected and opaque physical infrastructure may amplify existi
 ng privacy and data protection concerns related to digital data.\n\nThis i
 nterdisciplinary study deploys technical and legal tools to highlight conc
 erns around consumer rights and data flows in IoT. By monitoring data tran
 smission\, analysing legal documents and executing our data rights\, I exp
 lore the extent to which the behaviour of consumer IoT devices is currentl
 y aligned with data protection law.\n \nYou may leave this talk with a dif
 ferent view on your smart home devices.
LOCATION:Computer Laboratory\, William Gates Building\, GN06
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