World Solve

Healthcare equipment often uses sterile, complex, or regulated components that are difficult to reuse. Future systems need to reduce waste while preserving infection control and clinical reliability. Affected communities must have meaningful control over data, revenue, deployment decisions, and the right to refuse harmful applications. 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.

People increasingly need trusted identity across migration, finance, education, health, and employment systems. The challenge is preventing fragmented credentials, exclusion, surveillance, and corporate dependency. Affected communities must have meaningful control over data, revenue, deployment decisions, and the right to refuse harmful applications. 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.

No single model may cause harm when many models, sensors, contractors, and institutions interact. Legal systems need ways to assign responsibility across complex sociotechnical chains. 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.

Algorithmically designed foods may optimize cost, taste, shelf life, or emissions while neglecting long-term health and cultural acceptability. The challenge is creating transparent nutritional and ethical evaluation. Decisions must account for people who will inherit long-lived infrastructure, environmental changes, and institutional commitments. 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.

Decision-makers lack integrated, high-resolution models of ocean chemistry, biology, currents, and human activity. The open problem is building trustworthy systems that support decisions without creating false confidence from incomplete data. The solution must produce useful coordination and accountability while minimizing collection of sensitive personal and behavioral data. 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.

Decision-makers lack integrated, high-resolution models of ocean chemistry, biology, currents, and human activity. The open problem is building trustworthy systems that support decisions without creating false confidence from incomplete data. The design must remain functional when standards, trade routes, data access, and diplomatic cooperation are unreliable. 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.

Decision-makers lack integrated, high-resolution models of ocean chemistry, biology, currents, and human activity. The open problem is building trustworthy systems that support decisions without creating false confidence from incomplete data. 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.

Growing desalination could produce concentrated brine and chemical waste at scales that threaten coastal ecosystems. The challenge is improving recovery and discharge methods while accounting for cumulative regional impacts. Decisions must account for people who will inherit long-lived infrastructure, environmental changes, and institutional commitments. 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.

Long-lived infrastructure and environmental decisions can impose costs on people who cannot vote today. The unresolved problem is creating legitimate institutions that represent future people without removing accountability from current citizens. 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.

Interactive reconstructions of dead relatives may demand ongoing inclusion in gatherings, decisions, and emotional life. The problem is setting boundaries that respect both the living family’s autonomy and any residual rights or wishes of the deceased without forcing perpetual digital presence.

Autonomous spacecraft may make split-second avoidance decisions using imperfect data and proprietary software. The unresolved problem is assigning responsibility, proving fault, and compensating affected parties across jurisdictions. The design must remain functional when standards, trade routes, data access, and diplomatic cooperation are unreliable. 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.

Autonomous spacecraft may make split-second avoidance decisions using imperfect data and proprietary software. The unresolved problem is assigning responsibility, proving fault, and compensating affected parties across jurisdictions. 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.

Severe solar storms can disrupt satellites, power grids, navigation, aviation, and communication networks. Future resilience requires better forecasting, hardened systems, coordinated shutdown procedures, and affordable protection for developing countries. Affected communities must have meaningful control over data, revenue, deployment decisions, and the right to refuse harmful applications. 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.

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. Affected communities must have meaningful control over data, revenue, deployment decisions, and the right to refuse harmful applications. 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.

Digital consultation can produce large volumes of participation while still failing to influence decisions. The challenge is creating governance processes where consultation changes outcomes and does not become symbolic theater. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Warnings often fail because people lack transport, trust, shelter, money, or authority to act. The unresolved problem is linking forecasts to pre-agreed decisions, resources, and responsibilities at local level. 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.

Governments currently discount long-term harms because future people cannot vote today. The open problem is creating formal institutions that represent future citizens in budget, infrastructure, climate, and technology decisions. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future infrastructure will increasingly rely on systems capable of making decisions without immediate human supervision. The unresolved problem is creating architectures that can prove what they did, explain uncertainty, fail safely, and remain controllable during abnormal conditions. The solution must produce useful coordination and accountability while minimizing collection of sensitive personal and behavioral data. 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.

Future infrastructure will increasingly rely on systems capable of making decisions without immediate human supervision. The unresolved problem is creating architectures that can prove what they did, explain uncertainty, fail safely, and remain controllable during abnormal conditions. The design must remain functional when standards, trade routes, data access, and diplomatic cooperation are unreliable. 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.