Data Lifecycle Copilot
Data Copilot for Data Understanding and Visualisation
- Focus:
- Leverage the capabilities of LLM to enable data understanding in a conversational and interactive ways without the requirements of expert knowledge
- Objectives:
- Knowledge driven data understanding (automatic / QA)
- Data story-telling generation
Contact: Dr Jieshan Chen Jieshan.Chen@data61.csiro.au
LLM-enhanced Data Discovery
- Focus:
- Data discovery based on LLM + KG
- Data visualisation
- LLM-based Q&A
- Responsible Data Management and Governance
- Most likely the package will be aligned with the existing agricultural protein work
- As an initial step, it will focus on improving the demo by addressing its limitations
Contact: Dr Yanfeng Shu Yanfeng.Shu@data61.csiro.au
Privacy AI CoPilot for Data Sharing
- Focus:
- Synthetic Data set generation
- Incorporating Responsible AI Principles around privacy, fairness, reliability and explainability
- Analytics through MLAI
- Responsible Data Management and Governance
- Privacy Preserving Graph Analytics
- Federated Learning
- Foundational Models
Contact: Dr David Smith David.Smith@data61.csiro.au
Understanding Data Privacy Risk
Contact: Dr Paul Tyler Paul.Tyler@data61.csiro.au
Responsible Research Copilot (R2C)
- Focus:
- Data & model lineage
- Verifiable Credentials & Consent
- Identity and Access control
- Federated & other privacy-preserving data processing workflows
- Objectives: To develop a copilot to aid the research data management process by leveraging verifiable Credentials, Consent, LLMs, and data and model lineage technologies.
Contact: Dr Dilum Bandara Dilum.Bandara@data61.csiro.au
Project Manager: Judy Zheng