The Alan Turing Institute and DSO National Laboratories in Singapore Partnership are seeking to fund several projects to develop novel methods in AI and Data Science methods applicable to the three themes of misinformation and disinformation, humanitarian aid and disaster Relief, and counter terrorism.
The partnership between DSO National Laboratories, Singapore's largest national defence research and development organisation and The Alan Turing Institute is within Defence and Security Programme. Together, the Turing and DSO will explore new research methods designed to help understand complex datasets, covering different modalities such as image, text, and audio. Researchers will work to develop novel methods to help with the analysis of these fascinating and complex data sets.
We will be holding a remote workshop to discuss the currently open DSO call for proposals. Please see the details below.
DSO call workshop and briefing
Date: Tuesday 04 October 2022
If you would like to attend the workshop please contact Chiara Sbuazzo by email [email protected].
Misinformation and disinformation
New techniques in analysing social media content will enable the identification of harmful online material such as malign influence, extremist rhetoric, and the encouragement of serious violence, whether it is spread as text, image, or video. This will help to curb the speed at which such material can be shared and ensure that citizens continue to benefit from safe and trusted online spaces.
Humanitarian aid and disaster relief
In a period of unprecedented global disasters fuelled by a changing climate, the ability to effectively provide responses to these disasters becomes more important than ever. A growing ability to collect data about such disasters, driven by both more prolific sensors and autonomous vehicles, provide a significant opportunity to first responders in tackling these disasters. AI techniques can help in areas such as analysing imagery, locating survivors, and providing important cultural, contextual, and linguistic support to first responders, especially in typically low-resource languages. Such techniques are of much importance in multilateral humanitarian relief efforts.
Data analysis plays a large and substantial part in countering extremism. Analysts have to sift through large amounts of data to find threats, looking for the needle in the haystack that could result in a foiled extremist plot. Novel AI techniques can help analysts undertake this in a more efficient and expedient way.
Who can apply
We invite researchers from any UK-based universities and research institutes to submit an application (please note non-Turing university partners researchers are eligible to apply too).
The lead applicant must be based in a UK university or research institute.
How to apply
Applications must be submitted via the online portal.
If you have not already done so you must first register on the system. If you have any questions regarding the application form or call process, please contact the Research Project Manager: Amber Raza, [email protected]
The project length cannot exceed 24 months and must finish by August 2024.
All projects must start no later than 01 Feb 2023 and must end before the end of August 2024.
The funding is 100 % FEC and includes salaries (including on-cost), Overhead costs (including indirects and estates) and other direct costs as justified for the work in the proposal.
If you have informal queries on the scientific research priorities of the call and the DSO project please contact the Turing DSO scientific lead via [email protected] (Ana Basiri).
There will be a workshop for those intending to submit held in the week of 3 October (details to be announced soon). This will be an opportunity to meet the DSO team and Turing Lead for the DSO project and learn more about the project.