Age and size at maturation play key roles in determining the fitness of individuals and underpin population demography. Evidence is growing that fishing and climate change can cause rapid change in life histories by increasing overall mortality and imposing size selectivity on populations. Declines in size and age at maturity can in turn impact on stock productivity as well as result in the loss of valuable phenotypic variation that could buffer populations against further environmental perturbations. Yet, despite the importance of understanding change in maturity schedules, such studies have largely been restricted to northern-hemisphere, high-value stocks where large observational datasets are recorded. Change in age and size at maturity is currently unassessed in Australian fished stocks. We will demonstrate a recently developed ontogenetic growth-modelling technique that can allow us to model age and size at maturity from length-at-age datasets commonly collected by fisheries agencies. Additionally, we will present time-series estimates of maturity in a number of key fish species. This approach could facilitate the recreation of life history schedules over many decades, help understand drivers of potential maturity changes, and improve sustainable fisheries management in rapidly changing future environments.