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SUMMARY:From Data Science to Machine Learning: Insights from the Engineeri
 ng World
DTSTART;VALUE=DATE-TIME:20251114T130000Z
DTEND;VALUE=DATE-TIME:20251114T170000Z
UID:https://talks.ox.ac.uk/talks/id/f89b90cd-9f5d-4ec9-b79c-3504b0433686/
DESCRIPTION:Engineering is vast: from energy systems to biomedical breakth
 roughs\, from control algorithms to robotics. For this event\, we’re zoo
 ming in on the digital frontier - exploring data science\, machine learnin
 g\, quantum technologies\, and the ever-evolving world of Artificial Intel
 ligence.\n\nThis event will explore engineering in the Digital Age through
  the lens of female researchers\, showcasing their outstanding contributio
 ns while providing a space to share experiences\, exchange ideas\, and bui
 ld connections. Women are still vastly underrepresented in the engineering
  profession\, accounting for less than 17% of the workforce in 2025 (accor
 ding to EngineeringUK). With the engineering world being increasingly shap
 ed by progress in data science and AI\, this event will showcase cutting-e
 dge research that employs diverse digital methods and technologies\, featu
 ring the work of both established women leaders and emerging voices.\n\nWh
 ile the symposium shines a spotlight on female researchers\, we warmly wel
 come participants of all genders at this event - your perspectives and voi
 ces are essential to the conversation as we explore not only the possibili
 ties of engineering in the Digital Age\, but also the challenges that wome
 n continue to face within the field.\n\nJoin us for an inspiring day of id
 eas\, exchange\, and connection featuring researchers from Oxford and Camb
 ridge as we push the boundaries of what engineering can achieve.
LOCATION:Jesus College (Cheng Kar Shun Digital Hub)\, Turl Street OX1 3DW
TZID:Europe/London
URL:https://talks.ox.ac.uk/talks/id/f89b90cd-9f5d-4ec9-b79c-3504b0433686/
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DESCRIPTION:Talk:From Data Science to Machine Learning: Insights from the 
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