World Solve

The problem of indigenous management effective but ignored continues to affect hundreds of millions of people and undermines progress on multiple Sustainable Development Goals. Existing responses remain fragmented, under-resourced and poorly adapted to local contexts. A strong solution must operate effectively under severe constraints of skilled personnel, infrastructure, electricity and connectivity. It should define clear measurable outcomes, identify possible unintended harms, and demonstrate how the intervention can be sustained by local institutions long after initial funding ends.

The problem of companies claiming to be green but not continues to affect hundreds of millions of people and undermines progress on multiple Sustainable Development Goals. Existing responses remain fragmented, under-resourced and poorly adapted to local contexts. A strong solution must operate effectively under severe constraints of skilled personnel, infrastructure, electricity and connectivity. It should define clear measurable outcomes, identify possible unintended harms, and demonstrate how the intervention can be sustained by local institutions long after initial funding ends.

The problem of remittances helping but not enough continues to affect hundreds of millions of people and undermines progress on multiple Sustainable Development Goals. Existing responses remain fragmented, under-resourced and poorly adapted to local contexts. A strong solution must operate effectively under severe constraints of skilled personnel, infrastructure, electricity and connectivity. It should define clear measurable outcomes, identify possible unintended harms, and demonstrate how the intervention can be sustained by local institutions long after initial funding ends.

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.

Future challenges such as AI, climate engineering, cyber conflict, and biotechnology cross borders but may be governed by incompatible national rules. The open problem is creating minimum safety floors without requiring complete political agreement. 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 valuable outputs may be generated through open-source contributions, community data, and user interaction rather than conventional employment. National accounts and compensation systems do not yet capture these flows fairly. 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-assisted work complicates ownership, credit, responsibility, and compensation. New systems must distinguish meaningful human contribution without rewarding superficial claims or enabling exploitation. 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.

Alternative proteins may improve land efficiency but face allergen, contamination, cultural, and market barriers. Solutions must include rigorous standards and locally appropriate product development. 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.

Distributed biotech facilities may bring innovation closer to communities while introducing new biosafety and waste-management requirements. Cities need transparent zoning, monitoring, emergency planning, and public participation. 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.

Autonomous transport could improve mobility but also increase congestion, surveillance, and unequal access if deployed mainly for affluent users. The challenge is coordinating street space, public transit, safety, and ownership models. 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.

Future fleets of autonomous vessels may survey, extract, monitor, or patrol oceans without continuous human control. The challenge is establishing safety, attribution, environmental limits, and collision rules across maritime 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.

Addressing natural gas leaks contributing to climate change 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.

Digital calendars that prune events judged irrelevant to a user’s preferred life story erase inconvenient or painful but real experiences. The challenge is giving people control over their records without algorithmic narrative curation.

The ability to permanently remove selected people from one’s sensory field can protect against harm but also enable complete social erasure and polarisation. The challenge is setting limits and accountability so that muting remains a last resort rather than a default social tool.

When personal memory archives exist solely in distributed cloud systems, sudden or gradual data loss can erase formative experiences without local backups. The challenge is building durable, verifiable, and accessible long-term personal memory infrastructure that survives corporate failure, format obsolescence, and account lapses. Solutions should remain affordable, user-controlled, and recoverable even decades later.

Industrial agriculture, pollution, and habitat loss may eliminate microorganisms with future medical and ecological value before they are studied. The challenge is creating ethical, distributed microbial conservation infrastructure. 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 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.