Alan Turing Institute/DSO Labs Singapore Collaboration

Closing Date: 10/10/2022

Funding to develop novel methods in artificial intelligence and data science to help understand complex datasets within the themes of misinformation and disinformation, humanitarian aid and disaster relief, and counter terrorism.

Founded in 2015 as a registered charity, the Alan Turing Institute is the national institute for data science and artificial intelligence (AI), and has its headquarters at the British Library in London.

The Alan Turing Institute/DSO Labs Singapore Collaboration initiative seeks to fund several projects to develop novel methods in AI and data science within specific themes. The Institute is working in partnership with DSO National Laboratories, a large national defence research and development organisation in Singapore.

Aiming to explore new research methods designed to help understand complex datasets, the partnership will cover different modalities such as image, text and audio. Researchers will work to develop novel methods to help with the analysis of these complex data sets.

The eligible themes are:

  • 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 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 more prolific sensors and autonomous vehicles, provides 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.
  • Counter terrorism – 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 hidden information that could result in a foiled extremist plot. Novel AI techniques can help analysts undertake this in a more efficient and expedient way.

Submissions are expected to make contributions to the foundational research in AI and methodological areas of priority while fitting within one of the three themes. The methodological priorities include (but are not necessarily limited to):

  • AI technologies such as self-supervised learning, meta-learning, data augmentation, continual learning, contextual reasoning or active learning to overcome the lack of labelled data.
  • Deep Learning and research into the multi-modal representation of videos.
  • Deep learning and computational linguistic for NLP 4.
  • Machine reasoning (symbolic AI), graph neural network and inferencing.
  • Research into NLP technologies for few-shot topic filtering, opinion summarisation, dialogue analysis and multi-lingual learning.
  • Explainable AI on disentangling causal from correlation in the data for the outputs of machine learning to be explainable.
  • Develop measures and metrics for misinformation/disinformation campaigns and hate speech.
  • Probabilistic programming.
  • Computational game theory.

If there are one or more similar proposals, there may be a suggestion from the assessors to collaborate to develop a joint proposal.

Funding body DSO National Laboratories
Maximum value Discretionary
Reference ID S24220
Category Science and Technology
Economic and Social Research
Natural Environment
Fund or call Fund