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.

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.

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.

Green spaces that close areas after detecting high ambient sorrow reduce access for those who most need nature. The challenge is supporting ecological recovery without excluding people during emotional difficulty.

Automation could eliminate jobs in some regions while creating new opportunities elsewhere, reversing long-standing urbanization patterns. Cities need adaptable housing, education, transport, and fiscal systems for population movement that is difficult to forecast. 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.

When digital systems fail, public trust in records, payments, and eligibility can collapse. The challenge is designing governance that can preserve continuity, recover data, and verify truth across technical interruptions. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

Climate events, cyberattacks, and conflict can demand action faster than standard legislative processes allow. The open problem is creating emergency authorities with strong checks, expiration rules, and public review. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

States and institutions may need registries of deployed AI models, their data sources, risk levels, and accountability owners. The challenge is building disclosure rules that support safety without exposing legitimate security or privacy risks. This becomes particularly difficult during fiscal austerity, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

States and institutions may need registries of deployed AI models, their data sources, risk levels, and accountability owners. The challenge is building disclosure rules that support safety without exposing legitimate security or privacy risks. This becomes particularly difficult under climate migration pressure, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

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.

Urban growth, migration, and climate change will outpace traditional master planning. The challenge is designing governance that can revise land use, service delivery, and infrastructure priorities continuously without becoming arbitrary. This becomes particularly difficult in post-conflict institutions, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

Future governments will need near-real-time visibility into commitments, arrears, off-budget liabilities, and contingent risks. The open problem is building financial transparency systems that ordinary citizens and auditors can actually use. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

As more government activity moves online, corruption may shift from visible cash handling to invisible data manipulation, access control, and procurement capture. The challenge is detecting abuse in systems that look efficient on the surface. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

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.

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.

As benefits move online, errors can become opaque and difficult to reverse. The challenge is creating fast, accessible grievance systems that help ordinary people correct eligibility mistakes without requiring legal expertise. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future organizations may use teams of specialized agents that negotiate, delegate, verify, and act across software and physical systems. It remains difficult to guarantee that local objectives, hidden incentives, and communication errors do not produce unsafe collective behavior. 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.

Some counterfeit or unsafe products carry fabricated safety certification marks that can be difficult for both consumers and regulators to quickly verify as fraudulent. Strengthening certification verification systems remains an unresolved consumer protection issue.

Old photographs and videos can be digitally altered using AI in ways that are difficult to distinguish from genuine historical restoration, risking the distortion of the historical record. Forensic tools for detecting this kind of manipulation remain underdeveloped.

Online marketplaces can host sellers using fabricated business identities or locations, making it difficult for buyers to know who they're actually purchasing from. Reliable, scalable seller verification remains an unresolved marketplace trust issue.