World Solve

The problem of local knowledge being undervalued 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 creativity not being valued 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 vocational training being undervalued 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.

platform companies keeping most of the value 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.

Industrial agriculture, pollution, and habitat loss may eliminate microorganisms with future medical and ecological value before they are studied. The challenge is creating ethical, distributed microbial conservation infrastructure. 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 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.

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.

Digital commerce, cloud services, and AI platforms can generate value across borders while escaping clear tax authority. The challenge is creating fair tax rules that smaller states can enforce without being excluded from the digital economy. The challenge is especially acute for low-resource administrations, where legacy systems, coordination failures, and weak oversight can magnify harm.

Digital commerce, cloud services, and AI platforms can generate value across borders while escaping clear tax authority. The challenge is creating fair tax rules that smaller states can enforce without being excluded from the digital economy. The challenge is especially acute across fragmented municipalities, where legacy systems, coordination failures, and weak oversight can magnify harm.

AI systems trained on globally diverse data may encode incompatible assumptions about fairness, authority, family, privacy, and acceptable risk. The challenge is creating pluralistic evaluation methods that protect universal rights without imposing one culture's values as a universal standard. 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.

A persistent gap exists in realizing practical, scalable solutions for methods for restoring the carbon and biodiversity values of degraded peatlands and wetlands. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

Automated content generation makes it cheap to flood the internet with thousands of low-value pages designed purely to capture search traffic and ad revenue. This is measurably degrading the overall usefulness of web search.

Antarctic systems underpin climate regulation and biodiversity, but their economic and non-market value is rarely quantified. Valuation tools and decision-support models could elevate their importance in policy.

Many plants remain stuck in low-tech production. Technology-transfer and cluster strategies can accelerate upgrading.

Graduates often hold certificates that employers don't value, while industries report shortages of specific technical skills. Employer-linked apprenticeship and skills-matching platforms could close this mismatch.

Rising consumption and inadequate recycling infrastructure mean much of urban waste ends up in rivers, oceans, or informal dumps. Decentralized waste-to-value recycling ventures could turn this into an opportunity.

Rapid consumption growth combined with inadequate waste management sends huge volumes of plastic into waterways each year. River-cleaning technology and plastic-to-value recycling startups could intercept waste before it reaches oceans.

Rapid urban consumption growth has outpaced recycling infrastructure, leaving plastic waste in waterways and streets. Local plastic-to-value recycling startups could turn this waste into a resource.