Turing Health Programme seminar series - 23 October 2019
Event Information
About this event
There will be a different theme for each seminar, and we hope that these seminars from next year will be rotated around the Turing partner universities.
The aim of the seminars are to ensure the Health programme is:
- Sharing project outcomes, future opportunities and best research practice skills
- Staying up to date with the most cutting-edge health data science research
- Building connections with other initiatives at the Turing
- Incentivising collaboration
- Inclusive and open to everyone
- Listening to the community’s priorities
Location and timings
The presentations for the Health programme seminar will run from 12:45 to 13:45 and delegates can join from 12:30 onwards for ‘meet and eat introductions’ with other programme members.
The 2019 and January 2020 seminars will take place at The Alan Turing Institute and participants can join either in person or remotely. We will ask partner universities to host future seminars to ensure they are accessible for Health programme members around the country.
Focus of 23 October 2019 seminar
The first Health Programme Seminar will focus on ASG Health funded projects.
Draft agenda
12:30 – 12:45 | Meet and eat introductions12:45 – 13:45 | Health programme seminar – ASG PI’s and Co-I’s presentations
Organiser The Alan Turing Institute
Organiser of Turing Health Programme seminar series - 23 October 2019
We are the UK’s national institute for data science and artificial intelligence.
The Institute is named in honour of Alan Turing, whose pioneering work in theoretical and applied mathematics, engineering and computing is considered to have laid the foundations for modern-day data science and artificial intelligence. The Institute’s goals are to undertake world-class research in data science and artificial intelligence, apply its research to real-world problems, driving economic impact and societal good, lead the training of a new generation of scientists, and shape the public conversation around data.
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