The Artificial Intelligence for Decision Making Initiative (the Initiative) 2022 is now accepting applications.
The Initiative is a collaborative project between the Office of National Intelligence (ONI) and the Defence Science and Technology Group (DSTG), to develop Artificial Intelligence (AI) and Machine Learning (ML) expertise and capability in areas of significant importance to the Australian defence and national security community.
Applications will close 1 April 2022 and it is expected up to 50 projects could be funded.
This program brings together funding from multiple Commonwealth agencies and is administered on a state basis. The Queensland Defence Science Alliance (QDSA) is the facilitation network for Queensland applicants.
Successful applicants will be provided with a fixed value of $30,000 per project and could also be part of a national network focused on developing AI and ML technology, through the Defence AI Research Network (DAIRNet). There may also be the opportunity for project prototypes to be considered for progression through the Defence Artificial Intelligence Centre (DAIC), or Defence and university sectors. However, there is no guarantee that successful applicants will receive further funding support.
Who Is Eligible?
Applications will be accepted from small teams or individuals who meet eligibility requirements.
The Initiative is open to Australian citizens or permanent residents who reside in Australia who are:
- Currently employed by an Australian-based company, university or research organisation that holds an Australian Business Number (ABN)
Please view the full eligibility criteria and funding information here.
The Challenge topics are:
- How can graph neural networks be applied for causal modelling?
- Musical scoring as a language of synchronised action
- What can information theory tell us about generalisation in data driven models?
- Understanding and exploring adversarial machine learning attacks and defences in a cyber security context
- AI-Enabled Argument Mapping for Decision Quality
- Data usage and sharing in contested or denied environments
- Classification of code modifications to differentiate security fixes and learn vulnerable code patterns in compiled software
- A Wireless communication detection problem for Graphical Neural Networks, Graph learning and Generative Graph methods in Spatial Networks
- Applying machine learning techniques to games on graphs for the detection and concealment of spatially defined communication networks
- Agent-based trust management
- Resilient interaction protocols
- Neurosymbolic BDI agents
- Hybrid and combined reasoning and decision-making
- Abstract cyber control
- Modelling objectives for multi-agent systems
- Optimising human-algorithm teaming for facial recognition
- Can Electric Network Frequency be used for video geo-localisation and timestamping?
- Novel AI methods to support post-mortem identification
- Extracting multiple sources of information from videos for identification
- Using AI with unmanned aerial systems to locate victims of a mass disaster event
- The TTCP CAGE Autonomous Cyber Defence Challenge
- DeepfakeOps: towards continuous integration of Deepfake technology into an evolving detection benchmark dataset
- Decision Making for Network Security
- Domain adaptation for neural speech translation
- Translating written English to and from propositional logic
- Identification of significant field types and boundaries in unfamiliar network protocols
- Application of AI to the liveness challenge in identity verification
- Cross-lingual narrative summarisation to enhance situational awareness and decision making
- Online and Adaptive Learning with Irregularly Sampled Data in Uncertain and Nonstationary Environments
- Adaptive Modelling Across Domains and Tasks without Labelled Data
For more detail on each of the 30 challenge statements, download the PDF here.
The following criteria will be used to assess proposals:
- Relevance and alignment to the research problem (40%)
- Novelty, quality and feasibility of the approach (40%)
- Expertise in relevant technical field (20%)
How to Apply for AI4DM
Applications will only be accepted via the Initiative’s Application Portal here.
For view full details of the Artificial Intelligence for Decision Making Initiative 2022 funding, please click here.
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The Queensland Defence Science Alliance (QDSA) is a university-led initiative to grow and connect an agile Defence innovation ecosystem, leveraging Queensland’s strengths, to deliver trusted solutions to meet Defence requirements.