We are a collaborative research project supported by the Australian Department of Industry, Science, Energy and Resources (AusIndustry) CRC-P program.
‘Leading the Education industry in adopting privacy by design practices in data security while still delivering high quality and robust analytical research. Developing a world-first platform for the Education industry for the measurement and reduction of privacy risk in learning data.
Our consortium is comprised of industry and research leaders in data privacy, analytics and the education sector. We are developing the technology and standards for easy to use, privacy-aware, and … Continue reading Join us
Trusted Analytics is a CRC-P project consortium of six organisations with expertise in Education Technology (Practera and EduGrowth), Education Services (Navitas), Data Science and Learning Analytics (University of South Australia) and Data Privacy (CSIRO’s Data61), and Security (Cybermerc). Our project team is sizeable, with a range of specialists engaging in the project on a part time basis. These are currently the core team members from each organisation. See Project Community for more details about the consortium and the full list of project team members.
I have been engaging more and more with education practitioners as we work through business scenarios for what a “real world” implementation of Trusted Analytics would entail. What does it … Continue reading The power of “residual risk”
At Practera we just finished another important piece of research into how our platform can help educators scale their experiential learning programs without compromising on quality or learning outcomes. Good … Continue reading Why this project means so much
Our team mate Srecko Joksimovic and partners CSIRO and UniSA named as leaders in The Australian Research 2020 Special Report.
Publications and presentations from our team members on our various areas of research including Learning Analytics, Secure Data Sharing and Collaboration, Privacy Risk Measurement and Management, and Provable Privacy Risk Reduction.
