World Solve

Many future products will use composites, coatings, adhesives, and additives that make recycling technically or economically impossible. The challenge is creating high-performance materials whose full lifecycle is designed from the beginning. 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.

No single model may cause harm when many models, sensors, contractors, and institutions interact. Legal systems need ways to assign responsibility across complex sociotechnical chains. 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.

Traditional credentials are too slow for rapidly changing technical work, while unverified short courses create noise. Future education needs trustworthy, modular, employer-connected, and worker-controlled skill validation. 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.

When digital systems fail, public trust in records, payments, and eligibility can collapse. The challenge is designing governance that can preserve continuity, recover data, and verify truth across technical interruptions. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

Post-quantum authentication must work on inexpensive devices, intermittent networks, and systems with limited technical support. A practical solution must avoid forcing vulnerable populations to replace all hardware at once. 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.

As AI systems become embedded in education, employment, finance, healthcare, and government, people may technically retain choices while practical options are shaped by invisible optimization systems. A useful solution must preserve meaningful consent, contestability, and human responsibility. 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.

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 methods for restoring the health of soils degraded by salinization and contamination 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.

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.

Achieving community-scale renewable microgrids resilient to extreme weather isolation 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.

Achieving carbon-negative cementitious binders setting in saline conditions 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.

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.

Achieving institutional arrangements that improve the effectiveness of international environmental agreements 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.

Automated scraping tools can collect publicly visible personal data from social media profiles far faster and more comprehensively than manual methods ever could, often for uses the original poster never intended. Meaningful technical or legal limits on this practice remain inconsistent.

Verifying that voting machine software hasn't been secretly altered requires specialized technical audits that aren't consistently performed everywhere elections take place. Making this verification standard and accessible remains an unresolved election security challenge.

Digital signatures can be technically valid while still being applied under coercion, fraud, or through compromised credentials, and current systems don't fully verify true signer intent. Closing this verification gap remains an unresolved legal-technical challenge.

Even without directly stating private information, AI models can sometimes reveal sensitive details indirectly through patterns in how they respond to certain prompts. Fully closing this subtle privacy leak remains an unresolved technical challenge.

As AI tools become more capable of providing real-time answer suggestions, detecting this kind of undisclosed assistance during interviews or exams remains technically difficult. This creates growing concerns about the integrity of remote assessments.

Voice assistants can still struggle to accurately understand commands in households with background noise, multiple speakers, or mixed languages, leading to frustrating and sometimes unsafe misunderstandings. Improving this reliability remains an ongoing technical challenge.

As detection tools improve, so do the techniques used to generate reviews designed specifically to slip past them, creating an ongoing arms race. Staying consistently ahead of these evasion tactics remains technically unresolved.