World Solve

States and institutions may need registries of deployed AI models, their data sources, risk levels, and accountability owners. The challenge is building disclosure rules that support safety without exposing legitimate security or privacy risks. This becomes particularly difficult during fiscal austerity, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

Urban growth, migration, and climate change will outpace traditional master planning. The challenge is designing governance that can revise land use, service delivery, and infrastructure priorities continuously without becoming arbitrary. This becomes particularly difficult in post-conflict institutions, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

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.

Predictive policing can reinforce historical bias even when built from apparently neutral data. The open problem is designing standards that make public safety tools testable, reviewable, and defeasible when they cause harm. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Transport systems may be increasingly optimized by private algorithms that control routing, pricing, access, and safety. The unresolved problem is ensuring these systems improve mobility for everyone rather than only for users who can pay most. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Public agencies will buy models, datasets, inference services, and automated workflows from vendors whose systems may not be easy to inspect. The unresolved problem is creating contract standards that make public AI procurement auditable, portable, and lawfully contestable. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Governments currently discount long-term harms because future people cannot vote today. The open problem is creating formal institutions that represent future citizens in budget, infrastructure, climate, and technology decisions. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future states will need identity systems that work for migrants, displaced people, informal workers, and citizens missing formal paperwork. The challenge is building identity infrastructure that expands access without becoming a surveillance or exclusion tool. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Teachers cannot manually inspect every error pattern, while generic adaptive apps often optimize clicks rather than mastery. Compact knowledge models and teacher-controlled workflows could make personalization affordable and pedagogically accountable. 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 coordinate uncertainty, incentives, or resource constraints; entrepreneurship can turn a reliable workflow into a viable service.

Many consultation processes collect comments but provide no traceable response or rationale. Structured argument maps, versioned policy records, and privacy-aware participation analytics could improve accountability without reducing deliberation to popularity. 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 coordinate uncertainty, incentives, or resource constraints; entrepreneurship can turn a reliable workflow into a viable service.

Big Bang models suggest equal amounts of matter and antimatter, yet the observable Universe is dominated by matter. Precision measurements of CP violation and new physics at high energies could explain the imbalance.

General relativity and quantum field theory conflict at extreme densities, such as inside black holes and at the Big Bang. Progress in string theory, loop quantum gravity, and holographic dualities could lead to a consistent framework.

This relic of the Big Bang has not been directly detected. Novel detectors and cosmological analysis methods are needed.

Drug-resistant TB strains are spreading faster than diagnostic capacity in India, Pakistan, and Bangladesh. Portable AI-assisted chest X-ray screening and better contact-tracing apps could catch cases earlier.

Naturally occurring contaminants in aquifers in Bangladesh and parts of India cause long-term health damage when consumed untreated. Affordable household filtration technology needs wider distribution.

Workers from countries like the Philippines, India, and Bangladesh lose significant income to transfer fees sending money home. Blockchain-based remittance corridors could dramatically cut these costs.

Entrepreneurs outside cities like Bangalore, Jakarta, or Singapore struggle to access venture capital networks. Regional angel-investor networks and remote due-diligence tools could spread funding more evenly.

Congested ports and inefficient customs processes in countries like India and Bangladesh slow down import-export operations. Digital single-window customs clearance systems could significantly cut delays.

Observations show massive black holes existing just a few hundred million years after the Big Bang, far too fast for standard accretion models. Direct collapse seed theories or primordial black hole physics need verification.

Over 80% of workers in countries like India, Bangladesh, and Nepal operate within informal economies without access to pensions, disability insurance, or minimum wage guarantees. Traditional bureaucratic tax and welfare systems fail to track or protect these transient and cash-reliant populations during economic shocks.