Welcome to the Institute of Applied Data Science
The Institute of Applied Data Science (IADS) is a University-wide research institute that encompasses all three faculties at Queen Mary University of London: Science and Engineering, Medicine and Dentistry, and Humanities and Social Sciences. We draw on this broad base of multidisciplinary expertise to tackle challenges across the full spectrum of data science. The Institute of Applied Data Science is working with a growing number of external partners, including AIG, BBC, Microsoft, Lloyds Banking Group, IBM and the Barts and the Royal London NHS Trust.
In 2018 Queen Mary also joined the Alan Turing Institute, which is the UK’s national centre for data science and Artificial Intelligence. There are currently 42 Turing Fellows, two doctoral students and a number of students taking part in the Turing Enrichment Scheme as part of 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 specific expertise in other areas such as health and humanities.
Since the outbreak of global coronavirus pandemic in early 2020, Queen Mary remains open, however there is now no face-to-face interaction. We are transitioning as much as we can of our research activity online, and advising staff to work remotely where this is possible. Guidance for research staff and students is available at the Joint Research Management Office pages.
Access to EU Funding post-Brexit
The United Kingdom officially withdrew from the European Union and the European Atomic Energy Community at the end of 31 January 2020 CET. UK academics are still able to access EU research funding post-Brexit. This includes access to the next EU funding programme: Horizon Europe that will run from 1st January 2021 to 31 December 2027. More information about how academics can access EU research funding post-Brexit is available at the Joint Research Management Office EU Unit Portal pages.
| Tue 22 Jun 2021|
11:00 - 12:00
|IADS PhD Student Forum Webinar: "Attacking Neural Networks" with Danilo Riccio|
| Thu 24 Jun 2021|
11:00 - 12:00
|"Topology of automated decision making" with Professor Michael Farber|