The Future Healthy Countdown 2030 consensus statement: core policy actions and measures to achieve improvements in the health and wellbeing of children, young people and future generations.

Introduction: This consensus statement recommends eight high-level trackable policy actions most likely to significantly improve health and wellbeing for children and young people by 2030. These policy actions include an overarching policy action and span seven interconnected domains that need to be adequately resourced for every young person to thrive: Material basics; Valued, loved and safe; Positive sense of identity and culture; Learning and employment pathways; Healthy; Participating; and Environments and sustainable futures.

Main Recommendations: Provide financial support to invest in families with young children and address poverty and material deprivation in the first 2000 days of life.

An effective approach to tackling complex health policy challenges. Using a clinical microsystems approach and rethinking codesign.

That people with serious mental illness have poor physical health and face a significant life expectancy gap compared with the general population is well known. Despite considerable policy focus in some countries, the gap in life expectancy remains. Tackling complex and persistent health problems such as this requires a systems-based approach, recognising the complexity of interacting components and their effects on the problem and on each other and applying collaborative analysis, design and implementation by those with knowledge of and expertise in the problem and the context.

A framework for developing a real-time lake phytoplankton forecasting system to support water quality management in the face of global change.

Phytoplankton blooms create harmful toxins, scums, and taste and odor compounds and thus pose a major risk to drinking water safety. Climate and land use change are increasing the frequency and severity of blooms, motivating the development of new approaches for preemptive, rather than reactive, water management. While several real-time phytoplankton forecasts have been developed to date, none are both automated and quantify uncertainty in their predictions, which is critical for manager use.