World Solve

fairtrade reaching few remains one of the most urgent challenges of our time. Systems currently in place are inadequate for the scale and complexity of the problem. A successful approach must work where resources are scarcest and demonstrate clear, measurable results. It should identify possible harms, respect local agency, and show how the solution can be maintained and expanded by the communities it is meant to serve.

Future progress on human development and planetary health depends on solving custody battles remaining unfair. Conventional approaches have proven insufficient. The required intervention must integrate community knowledge, data and appropriate technology while remaining affordable, privacy-preserving and operable with minimal external support. Strong solutions will articulate measurable impact metrics, risk mitigation strategies, and a plan for sustained operation by local actors after the pilot phase.

Addressing stop and search remaining unfair 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.

If machines and software generate large economic value with fewer workers, existing payroll and income tax structures may weaken. Governments need alternatives that fund public goods without punishing productive investment. 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.

If machines and software generate large economic value with fewer workers, existing payroll and income tax structures may weaken. Governments need alternatives that fund public goods without punishing productive investment. 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.

Addressing fair trade remaining rare 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.

Future progress on human development and planetary health depends on solving failure to pay fair wages. Conventional approaches have proven insufficient. The required intervention must integrate community knowledge, data and appropriate technology while remaining affordable, privacy-preserving and operable with minimal external support. Strong solutions will articulate measurable impact metrics, risk mitigation strategies, and a plan for sustained operation by local actors after the pilot phase.

Homes that charge more for greater daylight access can deepen housing inequality and incentivise light-blocking in poorer units. The challenge is valuing natural illumination without turning it into a luxury surcharge that harms health equity.

Lifts that prioritise or restrict floors according to behavioural scores create physical segregation inside buildings. The problem is designing vertical mobility that remains accessible and non-discriminatory regardless of any scoring system in use.

If legal names must be renewed annually like licenses, administrative barriers and fees can strip people of identity continuity. The problem is designing naming regimes that allow flexibility without turning a core personal identifier into a recurring bureaucratic burden.

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.

Infants may receive temporary cognitive or motor skill packages that expire after a trial window, creating pressure to purchase permanent versions. The challenge is ensuring that basic developmental capacities remain freely available and that commercial skill layers do not become gatekeepers of opportunity.

If individuals can alter gravity in their private environments, public areas must still enforce uniform conditions for safety and fairness. The challenge is preventing spillover effects, health disparities, and social stratification based on access to customized physical laws.

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.

Metering park entry according to measured oxygen use could exclude people with higher metabolic needs or certain health conditions. The challenge is creating inclusive green-space access rules that still manage environmental impact without turning basic recreation into a health-based barrier.

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.