World Solve

Addressing consent not being meaningful 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.

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.

People increasingly need trusted identity across migration, finance, education, health, and employment systems. The challenge is preventing fragmented credentials, exclusion, surveillance, and corporate dependency. 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 financial, information, military, and infrastructure systems may act in milliseconds while democratic institutions deliberate over months. The challenge is designing pre-authorized constraints, real-time oversight, and meaningful accountability. 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.

Random allocation of celebration days severs cultural and familial continuity around birth. The problem is preserving meaningful personal anniversaries while still allowing flexible scheduling for administrative or equity reasons.

Severe solar storms can disrupt satellites, power grids, navigation, aviation, and communication networks. Future resilience requires better forecasting, hardened systems, coordinated shutdown procedures, and affordable protection for developing countries. 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.

AI-designed biological molecules may be created faster than their safety, ecological, and clinical properties can be characterized. The open problem is building evaluation pipelines proportionate to capability and deployment risk. 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.

Digital consultation can produce large volumes of participation while still failing to influence decisions. The challenge is creating governance processes where consultation changes outcomes and does not become symbolic theater. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Claims about quantum advantage often depend on narrow benchmarks or idealized assumptions. The challenge is creating reproducible measurements that identify when quantum systems deliver meaningful benefits over classical alternatives. 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 AI systems become embedded in education, employment, finance, healthcare, and government, people may technically retain choices while practical options are shaped by invisible optimization systems. A useful solution must preserve meaningful consent, contestability, and human responsibility. 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.

Achieving methods for restoring the health of soils degraded by salinization and contamination at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

Achieving mechanisms for rapid, transparent and equitable allocation of climate loss and damage finance at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

Achieving community-scale renewable microgrids resilient to extreme weather isolation at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

Achieving carbon-negative cementitious binders setting in saline conditions at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

Achieving institutional arrangements that improve the effectiveness of international environmental agreements at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

Automated scraping tools can collect publicly visible personal data from social media profiles far faster and more comprehensively than manual methods ever could, often for uses the original poster never intended. Meaningful technical or legal limits on this practice remain inconsistent.

Algorithms can adjust prices based on a shopper's data, sometimes leading to unfair or discriminatory pricing that isn't transparent to consumers. Meaningful transparency and regulation around this practice remain inconsistently enforced.

Once login credentials are leaked in a breach, they often remain accessible and exploitable for attackers on illicit marketplaces for years afterward, long after the original breach was reported. Meaningfully reducing this lingering exposure remains unresolved.

Data brokers can aggregate information from many different sources to build surprisingly detailed profiles on individuals, often without those individuals ever being aware or having consented. Meaningful regulation and technical limits on this practice remain inconsistent globally.