Turing Research Showcase
Event Information
About this event
The Turing is pleased to host the first virtual research showcase for the student community. This is an excellent opportunity for you to find out more about the research our Doctoral, Enrichment and Visiting students carry out during their time at the Turing. The event is open to researchers from university partners and beyond, the internal Turing community as well as any members of the public.
How it works
The student posters will be compiled according to the application domains of each data-driven research piece. The poster presentations will be composed of static resources (access to the posters, video recordings and written abstracts), as well as highly interactive Q&A Zoom sessions hosted by each poster author. Live showcases will take place 10 am - 7 pm with 45-minute live presentation slots for each poster on the 24 September 2020
For more information on the schedule of posters, details about the authors and to browse through the static resources (available 21-27 September 2020), please visit our dedicated website.
You are not required to attend all the sessions, but as a general rule we recommend you attend 2-5 live Q&As in total, and you don't have to attend the entire slots. However, we do welcome you to attend as many as possible.
Following registration, you will receive the Zoom details to attend all Q&A poster sessions for the Turing Research Showcase on the 22 September 2020 12:00 BST.
If you have any questions, please email us at student-posters@turing.ac.uk
Organiser The Alan Turing Institute
Organiser of Turing Research Showcase
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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