World Solve

Addressing transparency in spending remaining low 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 spare parts remaining expensive. 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.

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.

supply chain transparency remaining missing 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.

Algorithmically designed foods may optimize cost, taste, shelf life, or emissions while neglecting long-term health and cultural acceptability. The challenge is creating transparent nutritional and ethical evaluation. Decisions must account for people who will inherit long-lived infrastructure, environmental changes, and institutional commitments. 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.

Algorithmically designed foods may optimize cost, taste, shelf life, or emissions while neglecting long-term health and cultural acceptability. The challenge is creating transparent nutritional and ethical evaluation. The problem cannot be solved by one jurisdiction because people, ecosystems, data, supply chains, or risks cross national boundaries. 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 rental, mortgage, insurance, and zoning systems may reproduce historical exclusion through apparently neutral variables. Cities need transparent testing, appeals, and anti-discrimination safeguards. 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.

Distributed biotech facilities may bring innovation closer to communities while introducing new biosafety and waste-management requirements. Cities need transparent zoning, monitoring, emergency planning, and public participation. 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.

Cities may deploy scent systems that automatically adjust collective emotional states. Over time some residents develop tolerance or adverse reactions, creating uneven effects and new forms of environmental inequality. The problem is designing transparent, opt-outable, and medically safe atmospheric interventions that do not become tools of coercion or social control.

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.

Quantum randomness could improve high-stakes public processes, but its value depends on independently verifiable hardware, transparent protocols, and protection against manipulation at the measurement and software layers. 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.

Disasters, conflicts, and public-health crises force governments to buy quickly, often with reduced oversight. The open problem is building emergency procurement systems that are fast enough for crises but transparent enough to prevent leakage, favoritism, and fraud. The challenge is especially acute across fragmented municipalities, where legacy systems, coordination failures, and weak oversight can magnify harm.

Governments will increasingly rely on automated systems to allocate benefits, flag risks, prioritize inspections, and recommend enforcement. The unresolved problem is creating governance structures that make these systems transparent, contestable, and accountable without disabling public service delivery. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

The technical problem is coupled with a social allocation problem: production varies, meters may be imperfect, and residents need rules they trust. Tariff design, optimization, and transparent settlement tools could make shared generation investable. 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 forecast uncertainty, incentives, or resource constraints; entrepreneurship can turn a reliable workflow into a viable service.

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.

Smallholder farmers in Brazil are frequently price takers with no visibility into regional market rates, leaving them dependent on middlemen who capture most of the margin.

Women in formal-sector jobs in Peru continue to earn less than men in comparable roles, and current pay-transparency requirements are too weak to be enforced effectively.

Some advertisements use AI-generated voices without always clearly disclosing this to listeners, and consistent labeling standards for synthetic voice content remain unevenly enforced. Closing this transparency gap remains an unresolved regulatory and design issue.

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.

As AI-powered search and assistants become primary ways people find information, a small number of companies effectively shape what most people see and believe. Ensuring this influence remains fair and transparent remains a largely unresolved governance issue.