World Solve

Advanced nanomaterials may enter clothing, food packaging, medicine, construction, and electronics before their long-term environmental behavior is understood. The unresolved problem is lifecycle risk assessment and transparent public regulation. 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.

Automated scheduling, evaluation, pricing, and dismissal may shape work without a visible manager. The unresolved problem is giving workers collective voice over systems that are proprietary, dynamic, and difficult to audit. 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.

Urban planning models often omit informal homes, businesses, infrastructure, and social networks. The unresolved problem is creating useful digital representations without enabling eviction, surveillance, or land speculation. 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.

Marine carbon-removal proposals may alter ecosystems across vast areas that are difficult to observe. The unresolved problem is proving effectiveness and detecting ecological damage before interventions scale. 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.

Vegetation that bioluminesces beneath people carrying financial obligations creates public signalling of private economic status. The challenge is keeping urban biology free of involuntary debt disclosure.

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.

Glass that selectively condenses in the presence of unresolved interpersonal tension turns private emotional states into visible signals. The challenge is preventing ambient architecture from becoming an involuntary emotion detector.

Automatic transfer of parental digital contracts to minors creates financial and data liabilities before legal capacity. The challenge is designing inheritance rules for digital services that protect children from involuntary ongoing commitments.

As identity, payments, records, and service portals become central to state capacity, failures will produce large-scale disputes. The unresolved problem is setting up fast, fair, and trusted systems to resolve them. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

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.

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.

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.

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.

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.

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.

Transport systems may be increasingly optimized by private algorithms that control routing, pricing, access, and safety. The unresolved problem is ensuring these systems improve mobility for everyone rather than only for users who can pay most. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Synthetic biology and AI-assisted design may create biological capabilities that are both socially valuable and potentially dangerous. The unresolved problem is building oversight that reduces misuse risk while keeping legitimate research open and productive. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future quantum networks will need coexistence with conventional fiber, satellites, and noisy metropolitan infrastructure. A major unresolved problem is developing practical repeaters, interfaces, standards, and operational security for real-world deployment. 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.

Public agencies will buy models, datasets, inference services, and automated workflows from vendors whose systems may not be easy to inspect. The unresolved problem is creating contract standards that make public AI procurement auditable, portable, and lawfully contestable. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.