World Solve

Future progress on human development and planetary health depends on solving carbon pricing remaining incomplete. 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.

The problem of indicators remaining incomplete 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 protection from sexual exploitation remaining incomplete 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.

Future progress on human development and planetary health depends on solving task shifting remaining incomplete. 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.

The problem of open science remaining incomplete 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.

truth commissions remaining incomplete 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 weapon tracing remaining incomplete. 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.

The problem of open data remaining incomplete 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.

Addressing public registers remaining incomplete 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.

Decision-makers lack integrated, high-resolution models of ocean chemistry, biology, currents, and human activity. The open problem is building trustworthy systems that support decisions without creating false confidence from incomplete data. 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.

Decision-makers lack integrated, high-resolution models of ocean chemistry, biology, currents, and human activity. The open problem is building trustworthy systems that support decisions without creating false confidence from incomplete data. 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.

Decision-makers lack integrated, high-resolution models of ocean chemistry, biology, currents, and human activity. The open problem is building trustworthy systems that support decisions without creating false confidence from incomplete data. 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.

incomplete control of the hiv epidemic 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.

incomplete vaccination coverage for children 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.

Frontline workers often face incomplete records, unreliable connectivity, and high consequences for missed deterioration. Decision-support models must be calibrated locally, auditable, and paired with referral logistics rather than treated as standalone AI. The opportunity is intentionally human-scale: a cooperative, clinic, workshop, school, or municipal team could pilot it within one locality and measure outcomes before expanding. Mathematical modeling can help with verify uncertainty, incentives, or resource constraints; entrepreneurship can turn a reliable workflow into a viable service.

Despite recognition of its importance, reliable methods for incentive-compatible mechanisms for global public goods financing are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Automated trading algorithms can sometimes trigger rapid, extreme price swings in smaller or less liquid markets, especially during unusual conditions, without any single actor intending market harm. Building safeguards against this kind of systemic risk remains incomplete.

Digital contracts can potentially be modified after signing in ways that aren't always immediately detectable without specialized forensic review. Building this verification directly into standard contract systems remains incompletely adopted.

Some websites secretly run scripts that use a visitor's device to mine cryptocurrency without their knowledge, slowing down devices and consuming electricity without consent. Consistent detection and blocking of this practice remains incomplete across browsers.

Automated captioning has improved significantly but still performs unevenly across different accents, dialects, and less common languages, leaving some users with far less accurate accessibility support than others. Closing this accuracy gap remains incomplete.