World Solve

Addressing ageing population growing fast is critical for achieving the 2030 Agenda. Current efforts fall short in scale, speed and equity, leaving the most vulnerable behind. Any viable solution must function in low-resource settings with limited specialists, transport, laboratory capacity and broadband. Proposals should specify quantifiable biological, social or environmental outcomes, openly discuss potential risks, and present a realistic pathway for long-term maintenance and local ownership beyond short research pilots.

Future progress on human development and planetary health depends on solving prison populations remaining high. Conventional approaches have proven insufficient. The required intervention must integrate community knowledge, data and appropriate technology while remaining affordable, privacy-preserving and operable with minimal external support. Strong solutions will articulate measurable impact metrics, risk mitigation strategies, and a plan for sustained operation by local actors after the pilot phase.

Cities will contain wider differences in age, culture, disability, work schedules, and climate exposure. The challenge is making public spaces safe and useful without imposing one dominant pattern of behavior. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

rural populations without eye care remains one of the most urgent challenges of our time. Systems currently in place are inadequate for the scale and complexity of the problem. A successful approach must work where resources are scarcest and demonstrate clear, measurable results. It should identify possible harms, respect local agency, and show how the solution can be maintained and expanded by the communities it is meant to serve.

Many regions will simultaneously face elderly isolation, expensive housing, and young adults unable to form households. New models must combine privacy, care, affordability, and autonomy across generations. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Countries facing population decline may seek to influence reproductive decisions. The challenge is supporting people who want children, respecting those who do not, and addressing housing, work, care, and gender conditions rather than using coercive targets. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Automation could eliminate jobs in some regions while creating new opportunities elsewhere, reversing long-standing urbanization patterns. Cities need adaptable housing, education, transport, and fiscal systems for population movement that is difficult to forecast. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Many countries will need to support more older people with fewer workers and uncertain productivity gains. The challenge is redesigning pensions, care, migration, housing, and employment without increasing generational conflict. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Addressing hospitals located too far from rural populations is critical for achieving the 2030 Agenda. Current efforts fall short in scale, speed and equity, leaving the most vulnerable behind. Any viable solution must function in low-resource settings with limited specialists, transport, laboratory capacity and broadband. Proposals should specify quantifiable biological, social or environmental outcomes, openly discuss potential risks, and present a realistic pathway for long-term maintenance and local ownership beyond short research pilots.

rising sea levels threatening coastal populations remains one of the most urgent challenges of our time. Systems currently in place are inadequate for the scale and complexity of the problem. A successful approach must work where resources are scarcest and demonstrate clear, measurable results. It should identify possible harms, respect local agency, and show how the solution can be maintained and expanded by the communities it is meant to serve.

AI-designed biological molecules may be created faster than their safety, ecological, and clinical properties can be characterized. The open problem is building evaluation pipelines proportionate to capability and deployment risk. The approach must scale before formal institutions, infrastructure, and land-use systems fully catch up with population growth. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Post-quantum authentication must work on inexpensive devices, intermittent networks, and systems with limited technical support. A practical solution must avoid forcing vulnerable populations to replace all hardware at once. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Older adults are often left behind as digital tools and platforms evolve quickly, with educational resources struggling to keep up with both the pace of change and different learning needs. Closing this generational digital literacy gap remains an ongoing challenge.

Ageing populations, urban diets, and pollution will drive surges in cardiovascular disease, diabetes, cancer, and chronic respiratory conditions. Scalable chronic-care models, digital coaching tools, and preventive policy reforms are needed.

The share of people over 65 will rise sharply, raising demand for geriatric care, dementia services, and palliative care. Robotics-assisted caregiving, home-based monitoring, and new care-financing models could ease the burden.

Genomic and biomarker-driven therapies will transform oncology and rare disease care, but high costs and limited capacity risk concentrating benefits in wealthy populations. Fair pricing, global data-sharing, and low-cost diagnostics will be critical.

Displaced populations will need continuity of care for chronic diseases and mental health. Portable health records and mobile-clinic platforms can help.

Displaced populations will need continuity of care for chronic diseases and mental health. Portable health records and mobile-clinic platforms can help.

Algorithms trained on high-income populations may not generalise to under-sampled groups. Inclusive data-collection initiatives and equity-centric model evaluation are necessary.

Penguin, krill, and seabird populations are already shifting or declining as habitats change and food webs reorganise. Long-term ecological monitoring and ecosystem-modelling platforms are needed to guide conservation.