| We recently opened a call for abstracts for Advances in Data Science 2019, an international two-day conference. This year’s meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. Talks will range from application-focussed to advanced data science methodologies.’Advances in Data Science 2019 is set to build upon the success of the 2018’conference which took place last May.’ The exciting line up of expert speakers will include leading data scientists from industry and academia from across the world. |
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| This event is organised by Professor Magnus Rattray (University of Manchester), Professor Sophia Ananiadou (University of Manchester), Professor Emma Barrett (University of Manchester),’ Professor Angelo Cangelosi (University of Manchester)’ & Dr Danielle Belgrave (Microsoft). |
| The standard registration fee is’ 120, with a student registration fee of’ 80 and a one day registration fee of’ 60. The cost of the optional workshop dinner on Monday evening is’ 50. To book your place in the conference please’click here. |
| Abstracts and Presentations ‘To be considered for a short oral presentation or poster please submit an abstract through the meeting’s easychair submission page. Abstracts should be prepared on one side of A4 (pdf format) and should describe new or recently published data science research. We will consider submissions which demonstrate advances in data science or AI methodology and/or applications of data science. This year’s meeting is themed around four topics: Health & Wellbeing, AI & Robotics, NLP & Text Mining and Security & Privacy. |
| We will keep a small number of spaces available until after decisions on submissions are released to ensure that speakers for accepted contributed presentations can register. However, due to space limitations at the venue and the popularity of last summer’s conference, we encourage people to register as soon as possible to avoid disappointment. |
| If you have any queries please contact dsi.enquiries@manchester.ac.uk. |
| This event is sponsored by University of Manchester Data Science Institute, The Alan Turing Institute, IBM Research and Microsoft Research |
