World Solve

Genomic medicine could improve treatment while enabling insurers, employers, states, or platforms to infer sensitive traits. The challenge is ensuring people benefit from precision medicine without losing control over biological information. 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.

Historical records increasingly exist in fragile digital formats that may outlive current software, vendors, and hardware. The unresolved problem is preserving public memory across decades of technological change. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

AI agents may perform tasks once done by contractors, analysts, translators, and assistants. The challenge is creating rules for liability, taxation, attribution, and market fairness when human labor and machine labor overlap. The challenge is especially acute across multiple jurisdictions, where legacy systems, coordination failures, and weak oversight can magnify harm.

Engineered microbes, insects, crops, and gene drives may offer major ecological benefits but could spread beyond intended boundaries. The unresolved problem is developing reversible, monitorable, and internationally governed release frameworks. 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.

AI agents may perform tasks once done by contractors, analysts, translators, and assistants. The challenge is creating rules for liability, taxation, attribution, and market fairness when human labor and machine labor overlap. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future outbreaks may involve pathogens for which no profitable commercial market exists. A useful solution requires distributed manufacturing, adaptable platforms, pre-negotiated procurement, and equitable access before an outbreak occurs. 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.

Predictive policing can reinforce historical bias even when built from apparently neutral data. The open problem is designing standards that make public safety tools testable, reviewable, and defeasible when they cause harm. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Biological design tools are becoming more accessible while oversight remains fragmented across countries and institutions. The challenge is detecting dangerous activity without suppressing legitimate research or creating an intrusive global surveillance system. 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.

Biological design tools are becoming more accessible while oversight remains fragmented across countries and institutions. The challenge is detecting dangerous activity without suppressing legitimate research or creating an intrusive global surveillance system. 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.

Biological design tools are becoming more accessible while oversight remains fragmented across countries and institutions. The challenge is detecting dangerous activity without suppressing legitimate research or creating an intrusive global surveillance system. 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.

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.

Future shocks may affect several producing regions simultaneously, making traditional diversification insufficient. The challenge is combining storage, alternative crops, trade rules, logistics, and social protection without creating waste or market distortion. 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.

Border systems may increasingly use risk scoring, biometric checks, and predictive screening. The unresolved problem is ensuring security tools do not become opaque instruments of arbitrary exclusion or rights violations. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future societies may need shared datasets for health, mobility, climate, education, and infrastructure. The challenge is creating commons rules that enable useful access while preventing extraction, surveillance, and inequitable control. The challenge is especially acute for low-resource administrations, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future societies may need shared datasets for health, mobility, climate, education, and infrastructure. The challenge is creating commons rules that enable useful access while preventing extraction, surveillance, and inequitable control. The challenge is especially acute without mass surveillance, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future societies may need shared datasets for health, mobility, climate, education, and infrastructure. The challenge is creating commons rules that enable useful access while preventing extraction, surveillance, and inequitable control. The challenge is especially acute in post-conflict institutions, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future societies may need shared datasets for health, mobility, climate, education, and infrastructure. The challenge is creating commons rules that enable useful access while preventing extraction, surveillance, and inequitable control. The challenge is especially acute across fragmented municipalities, 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.

Many adaptation measures protect health, social stability, and ecosystems rather than producing direct revenue. New financial structures are needed for projects whose greatest value is avoiding losses that may never be visibly recorded. 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.

AI can generate convincing but fake expert testimony, reports, and analysis. The open problem is building public systems that preserve trust in real expertise while making fabricated authority easier to detect. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.