Why research?
At Lumyra, we anchor our advice and approach in the latest cutting-edge research. Rather than just opinions, you get access to expertise and the latest evidence across technology, business and AI governance.
Our commitment to AI research helps our clients:
Create clarity through complexity: Navigating AI’s jagged frontier
AI is a moving target. It is constantly improving, hard-to-predict, and often opaque. Our focus on research cuts through the noise, helping leaders see clearly and make confident choices in an uncertain landscape.
Bridge across domains: Connecting technology, business and governance
Succeeding in AI demands seamless connections across technical innovation, business operations, and responsible AI governance – areas where few advisors excel. Our commitment to cross-disciplinary research bridges these silos to provide a holistic view.
Drive from insight to impact: Translating research into real-world value
Academic rigour without practical application is just theory. Business advice without evidence is just opinion. Our research is applied and grounded in real-world collaborations, such as Darren’s PhD research with Healthdirect Australia. This means our advice is not just theoretically sound but practical, actionable, and battle-tested.
Darren’s research
Thesis title:
Enhancing human-AI collaboration and governance in high-stakes decision-making.
Research collaboration:
Conducted in partnership with Healthdirect Australia and sponsored by Bettina McMahon, CEO.
Meta question:
“How can AI be understood as a complex adaptive system (CAS), and in light of this perspective, how can approaches to “human-in-the-loop” (HITL) be optimised to enhance and adaptively govern AI deployments in high-stakes decision-making?”
Primary Supervisor:
Distinguished Professor Fang Chen, University of Technology Sydney.
Research links
Recommended research on Complex Adaptive Systems:
Complex Adaptive Systems, John Holland (1992)
The Fundamentals of Complex Adaptive Systems, Carmichael and Hadžikadic (2019)
Lessons from complex systems science for AI governance, Kolt, Shur-Ofry and Cohen (2025)
Recommended research on Human-AI collaboration:
The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence, Erik Brynjolfsson (2022)