South Australia's unprecedented harmful algal bloom has tested the boundaries of scientific understanding, government decision-making and established approaches to marine management. Its scale, duration and far-reaching ecological, economic and social consequences presented a challenge for which there was no established playbook. Drawing on firsthand experience leading South Australia's scientific response, this presentation reflects on what happens when an environmental crisis moves faster than our ability to understand it, and when governments must make consequential decisions despite incomplete and evolving evidence. The experience reinforced a fundamental lesson: no single scientist, discipline or organisation holds all the answers. Effective crisis management depends not only on scientific excellence, but on coordinated expertise, trusted relationships, clear governance and the ability to translate emerging evidence into practical advice. It also exposed limitations in traditional research, funding and institutional arrangements when confronted with urgent and competing management priorities.
The response demonstrated the value of collaboration across government, research institutions, industry and communities, while highlighting the importance of investing in relationships and scientific capability before they are urgently required. The establishment of the Office for Algal Bloom Research represents an important step towards strengthening coordination, addressing critical knowledge gaps and building longer-term preparedness.
Looking beyond the immediate crisis, the presentation challenges researchers, managers and policymakers to reconsider how science is prioritised, coordinated, funded and communicated. As aquatic environments face increasingly complex pressures, how do we move beyond reactive responses towards more predictive and adaptive management? Ultimately, the lesson is not simply that we need more science, but science that is better connected, responsive to management needs and capable of informing decisions when they matter most.