World Solve

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.

Attackers can automatically test massive numbers of previously leaked username and password combinations across many websites to find accounts where the same credentials still work. Reducing the effectiveness of this widespread technique remains an unresolved security challenge.

Purchased or AI-generated fake followers and engagement can make an account appear far more influential or trustworthy than it actually is, misleading both audiences and advertisers. Reliable detection and removal of this fake activity remains inconsistently enforced.

AI-driven bot accounts can now mimic human behavior and conversation patterns closely enough to evade many detection systems, allowing coordinated manipulation campaigns to operate largely undetected. Keeping detection ahead of this evolving threat remains an ongoing challenge.

Fraudsters can use AI to generate entirely fake but convincing identities, complete with fabricated financial histories, to open accounts and commit fraud at scale. Detecting these synthetic identities before damage occurs remains a growing, unresolved challenge for financial institutions.

Policy focuses on quantity, not quality of jobs. Better metrics and surveys can inform decent-work agendas.

Dark energy accounts for roughly 68% of the universe, yet its equation of state and microscopic nature remain complete mysteries. Precise mapping of cosmic expansion over time is crucial for predicting the ultimate fate of space-time.

Conventional Portland cement production accounts for major industrial carbon emissions in Asia; green cement alternatives lack standardized building code certifications.

Resources like fresh water, fertile soil, and certain minerals are being used faster than they can replenish, yet markets often don't price this depletion accurately. Building this cost into economic decision-making remains largely unresolved.

Immigration policy varies enormously between countries, with no widely accepted standard for what fairness or humane treatment actually requires. This leaves migrants' treatment largely dependent on which country they happen to reach.

Personal information is scattered across emails, cloud drives, apps, and devices, with no single reliable way to search across all of it. A unified, private personal search tool remains unbuilt.

The Prime Number Theorem offers an excellent approximation, but the finer details of exactly how actual prime counts deviate from this smooth prediction remain tied to the still-unproven Riemann Hypothesis. Fully resolving this would refine one of number theory's most central results.

Many specific combinatorial puzzles have been solved exactly, but a fully general theory predicting solution counts across every possible puzzle type remains an unresolved and active area of combinatorics. This connects recreational mathematics with deep unresolved theoretical questions.

Maximizing equality often requires limiting some individual freedoms, and maximizing freedom often produces significant inequality, creating a tension no single theory has fully resolved. This unresolved balance remains central to political philosophy.

Some countries and individuals consume vastly more resources than others, and there's no broadly accepted definition of what a fair share would even look like. This makes global cooperation on resource use difficult to justify to everyone involved.

Cement production alone accounts for a huge share of global carbon emissions, yet it remains central to nearly all construction. A low-carbon alternative that's just as strong and cheap would be one of climate policy's biggest wins.

As AI-generated accounts and bots flood social platforms, telling a real person from an automated one is getting harder. Without a trusted verification method, online trust and public discourse both suffer.

Women-led microenterprises in Philippines face disproportionate barriers to opening and maintaining formal savings accounts, limiting their capacity to reinvest and grow their businesses.

Dengue surveillance in Brazil is largely retrospective, relying on confirmed case counts reported weeks after transmission has already accelerated, rather than integrating mosquito density, rainfall, and mobility data into a forward-looking model.