Location: Henley Business School, Greenlands Campus
Format: Hybrid event – in-person and online
Date: June 12 2023, 10:00 to 16:00
Note: there are a limited number of in-person places, on a first-come first-served basis.
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Location: Henley Business School, Greenlands Campus
Format: Hybrid event – in-person and online
Date: June 12 2023, 10:00 to 16:00
Note: there are a limited number of in-person places, on a first-come first-served basis.
Funded by the Alan Turing Institute, the UK’s national institute for data science and AI, and organised jointly between the universities of Reading, Durham and Warwick, we are holding an interdisciplinary event aimed at academics, industry and organisations with an interest in application of data science and AI (especially machine learning) across a range of humanities-based sectors. This includes identifying examples of ‘successes’ of machine learning, gaps and barriers in its take-up, and opportunities and benefits of enhancing application of data science and AI in the next two, five and 10 years.
The event will comprise presentations and discussions across three main themes:
The event will contribute to the writing of a white paper to inform the Alan Turing Institute and interested parties worldwide of the issues, challenges and opportunities in this space. Furthermore, a series of interest groups will be set up to continue the conversation and include opportunities for partnership-building and research collaboration.
Confirmed speakers include from the BBC, AI companies Metaphysic.ai and DeepZen, Natural History Museum, Royal Botanic Kew Gardens, and the universities of Durham, Reading and Warwick.
There will be ample opportunities for networking. Lunch will be provided.
If you have any queries, please contact the Turing university contacts and event organisers James Ferryman or Bonhi Bhattacharya.
Note: The University of Reading officially joined the Turing University Network in April 2023. The aim of the structured and inclusive network is to facilitate meaningful connections across the UK data science/AI landscape.