Welcome to the Institute of Applied Data Science
"Alan Turing has been named the most "iconic" figure of the 20th century, fighting off competition from international leaders such as Martin Luther King Jr and Nelson Mandela. Turing was picked by the public during a live broadcast of BBC Two's 'Icons: The Greatest Person Of The 20th Century'," named by the BBC, Feb 2019
"Every time we use a computer or go online, we benefit from the genius of Alan Turing and the foresight of Sir Tim Berners-Lee."
Prime Minister Theresa May, spoken at Jodrell Bank, May 2018
The Institute of Applied Data Science at Queen Mary University of London is a University-wide research institute that encompasses three faculties: Science and Engineering, Medicine and Dentistry, and Humanities and Social Sciences. This allows Queen Mary to draw on a broad base of expertise ranging from ethical considerations through to applications of data science and medical challenges. The Institute is a truly multidisciplinary entity and is a dynamic network that allows for researchers from different areas to work together to find innovative solutions to a variety of challenges. Professor Michael Farber is Director of the Institute of Applied Data Science at Queen Mary .
The Institute of Applied Data Science is working with a growing number of external partners, including AIG, Barts and the Royal London NHS Trust, Endeavour Health Charitable Trust and the Alan Turing Institute.
In 2018 Queen Mary joined the Alan Turing Institute, which is the UK’s national centre for data science and AI. There are currently 46 Turing Fellows and two new PhD studentships engaged with the broader network based at Queen Mary and in the British Library. Our work with the Turing builds on our institutional strengths in data science and our domain knowledge expertise in other areas such as health and humanities.
The Institute of Applied Data Science includes world leading robotics experts and specialists in machine learning. We have expertise ranging from cutting edge vision science methodologies through to emerging technology related to decision making. In addition to state-of-the-art techniques being developed within the School of Electronic Engineering and Computer Science, there is a broad base of experience in using tried and tested methods to solve problems in many different domains. The Institute provides a network across Queen Mary to allow emerging technologies to spread to new domains. Queen Mary also has spin-out companies led by our machine learning experts.
|Thu 30 May 2019|
15:30 - 17:00
|Study Group in Data Science: Early Detection in Medicine & Strategies to Develop Risk Models|
|Mon 10 Jun 2019|
09:00 - 17:00
|IBM - QMUL event on women in technology|
|Wed 3 - Fri 5 Jul 2019|
09:00 - 17:00
|Conference: 20th 'Towards Autonomous Robotic Systems' Conference|
|Thu 29 - Fri 30 Aug 2019||2nd International Workshop on Vocal Interactivity in-and-between Humans, Animals and Robots|
|Fri 13 Sep 2019|
09:00 - 17:00
|Conference: Challenges of Data Science 2019|