World Solve

Future progress on human development and planetary health depends on solving donor countries breaking promises. 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.

Growing desalination could produce concentrated brine and chemical waste at scales that threaten coastal ecosystems. The challenge is improving recovery and discharge methods while accounting for cumulative regional impacts. 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.

Growing desalination could produce concentrated brine and chemical waste at scales that threaten coastal ecosystems. The challenge is improving recovery and discharge methods while accounting for cumulative regional impacts. The design must remain functional when standards, trade routes, data access, and diplomatic cooperation are unreliable. 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.

low rates of organ donation 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.

AI agents may perform tasks once done by contractors, analysts, translators, and assistants. The challenge is creating rules for liability, taxation, attribution, and market fairness when human labor and machine labor overlap. The challenge is especially acute across multiple jurisdictions, where legacy systems, coordination failures, and weak oversight can magnify harm.

AI agents may perform tasks once done by contractors, analysts, translators, and assistants. The challenge is creating rules for liability, taxation, attribution, and market fairness when human labor and machine labor overlap. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Public systems using legacy cryptography will eventually face long-term exposure as quantum computers improve. The challenge is coordinating migration across ministries, vendors, archives, and critical infrastructure without breaking public services. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

As benefits move online, errors can become opaque and difficult to reverse. The challenge is creating fast, accessible grievance systems that help ordinary people correct eligibility mistakes without requiring legal expertise. The challenge is especially acute in informal settlements, 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 for low-resource administrations, where legacy systems, coordination failures, and weak oversight can magnify harm.

Political communication will increasingly include deepfakes, voice cloning, and AI-generated persuasion at scale. The challenge is developing election rules, platform standards, and enforcement systems that protect speech while limiting manipulation. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

The bottleneck is not only parts supply but identification, dimensions, safety, and liability. Open component ontologies, machine-vision matching, and verified refurbishment networks could create new revenue for local technicians. 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 repair uncertainty, incentives, or resource constraints; entrepreneurship can turn a reliable workflow into a viable service.

Health workers in Papua New Guinea report high burnout and untreated trauma after epidemic or conflict response, but institutions lack structured, confidential support pathways that don't risk professional stigma.

Businesses seeking to cut corners could potentially use AI to generate fabricated but convincing compliance records for regulatory audits, and auditors don't always have the tools to catch increasingly sophisticated fake documentation. Strengthening audit verification remains an unresolved challenge.

Digital contracts can potentially be modified after signing in ways that aren't always immediately detectable without specialized forensic review. Building this verification directly into standard contract systems remains incompletely adopted.

Companies can use AI to generate legal language that's technically accurate but deliberately obscures consumers' actual rights, making it harder to understand what protections truly apply. Improving genuine clarity in these documents remains unresolved.

Tutoring platforms can be targeted by individuals using AI-generated fake credentials to appear more qualified than they actually are, and verification systems don't always catch this convincingly fabricated background information. Closing this trust gap remains an unresolved platform challenge.

AI tutoring tools can sometimes confidently present incorrect explanations that students may not have the expertise to catch themselves. Ensuring consistent accuracy in AI-driven educational content remains an unresolved quality control challenge.

Aggressive scraping bots, including those collecting data to train AI models, can overload smaller websites not built to handle that volume of automated traffic. Balancing open web access with protection against this kind of strain remains unresolved.

Attackers can sometimes obtain or forge digital certificates that make malicious software appear legitimately signed and safe to install. Strengthening the verification processes behind these certificates remains an unresolved security challenge.

Automated bots can purchase limited-availability products, from sneakers to concert tickets, within seconds, leaving genuine customers with little realistic chance to buy at retail prices. Effective, consistent bot prevention remains an unresolved e-commerce challenge.