11 Portland St
Advances in Data Science Conference 2019
Call for abstracts opened!
Date: Monday 20th – Tuesday 21st May 2019
Venue: etc Venues, 11 Portland St, Manchester, M1 3HU
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.
- Danushka Bollegala, University of Liverpool
- Silvia Chiappa, DeepMind
- Yiannis Demiris, Imperial College London
- Sarah Filippi, Imperial College London
- Georgio Metta, IIT Italian Institute of Technology, Genoa, Italy
- Marion Oswald, University of Winchester
- Paul Taylor, Lancaster University
- Catalina Vallejos, University of Edinburgh
- Byron Wallace, Northeastern University, USA
- Chris Williams, University of Edinburgh
- Pierre Zweigenbaum, CNRS, Paris
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 the link below or alternatively 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 email@example.com.
This event is sponsored by University of Manchester Data Science Institute, The Alan Turing Institute, IBM Research and Microsoft Research