World Solve

Public services will increasingly depend on rapidly updated models and decision pipelines. The unresolved problem is keeping these systems lawful, understandable, and corrigible as they evolve faster than formal regulations. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

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.

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.

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 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.

Future AI systems may improve software, research workflows, and model-training pipelines faster than institutions can review them. The open problem is designing international oversight that supports beneficial progress while preventing uncontrolled capability escalation. 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.

By 2040, editing tools and gene drives could reshape ecosystems or be misused to create dangerous pathogens. Governance frameworks, secure design pipelines, and ethics review infrastructures are needed.

Advances in synthetic biology may blur the line between accidental and deliberate outbreaks. Genomic anomaly detection and secure reporting pipelines could help.

Microplastics likely reach Antarctic waters and ice via ocean currents and human activity, but data are sparse. Standardised sampling campaigns and analytical pipelines are required.

Smaller countries lack the compute infrastructure and talent pipelines to participate meaningfully in the AI race, risking long-term digital dependency. Regional shared compute clusters and cross-border research partnerships could help.

Seasonal mountain landslides routinely break main water pipelines, cutting off municipal drinking water to mountain towns for weeks.

Methane is a far more potent greenhouse gas than carbon dioxide in the short term, and much of it leaks unnoticed from pipelines and wells. Better detection and faster repairs could meaningfully slow near-term warming.

Design roads, railways, pipelines, and transmission lines with wildlife crossings, routing, monitoring, and community safeguards that work at landscape scale.

Create low-cost continuous monitoring and repair systems for dispersed wells, pipelines, compressors, and storage sites that evade satellite and regulatory oversight.