World Solve

The problem of algorithms pushing extreme content 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 exam pressure remaining extreme 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.

nationalism becoming extreme 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.

Future progress on human development and planetary health depends on solving livestock suffering in extreme heat. 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.

Future progress on human development and planetary health depends on solving delivery workers working extremely long hours. 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.

If people live substantially longer, societies will need new models for work, learning, housing, dependency, and end-of-life care. Existing systems are not designed for decades of post-retirement life or multiple phases of dependency. 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 people live substantially longer, societies will need new models for work, learning, housing, dependency, and end-of-life care. Existing systems are not designed for decades of post-retirement life or multiple phases of dependency. 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.

If people live substantially longer, societies will need new models for work, learning, housing, dependency, and end-of-life care. Existing systems are not designed for decades of post-retirement life or multiple phases of dependency. 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.

Future progress on human development and planetary health depends on solving extreme poverty affecting more than 700 million people. 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.

Future cities may experience extreme heat precisely when electricity and water systems are least able to support cooling. The challenge is coordinating urban design, demand management, public health, and energy policy under compound stress. 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.

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.

Automated trading algorithms can sometimes trigger rapid, extreme price swings in smaller or less liquid markets, especially during unusual conditions, without any single actor intending market harm. Building safeguards against this kind of systemic risk remains incomplete.

Content that provokes strong emotional reactions tends to get algorithmically boosted because it keeps people engaged longer, regardless of whether it's accurate or healthy. Redesigning these systems without destroying platform business models remains unresolved.

By the 2030s and 2040s, extreme heat and shifting mosquito ranges will expand malaria, dengue, and other infections into new regions. Heat-health early-warning systems and climate-sensitive disease-modelling platforms must be deployed.

Rising temperatures and changing winds are destabilising ice shelves and altering Southern Ocean circulation, with global implications for sea-level rise and extreme weather. High-resolution coupled climate–ice models and sustained observation networks are needed to predict these changes.

Emerging evidence suggests shifts in Antarctic hydrological cycles that affect ice-mass balance and ecosystems. Enhanced meteorological observations and models can clarify trends.

Long distances and extreme conditions mean accidents can be difficult to manage. Shared SAR coordination tools and capacity-building are needed.

Organisms survive extreme cold, darkness, and nutrient regimes, but molecular mechanisms are only partly known. Genomic and omics platforms can reveal adaptation strategies.

Qubits are extremely sensitive to their environment and lose their quantum state within fractions of a second, limiting what any quantum computer can currently do. Solving this instability is the main barrier between quantum computing's promise and its practical use.

Agriculture, hydropower, and urban water supplies are increasingly affected by changing rainfall and heat patterns. Climate-risk modelling and adaptation investment platforms can help prioritise responses.