Improving cyber incident reporting for small businesses
Develop low-burden reporting, threat-sharing, insurance, legal, and recovery systems so small firms disclose attacks without fear of ruinous consequences.
World Solve is a public institutional repository for identifying real unresolved problems across science, society, health, governance, economics, and local systems. Each entry is intended to be citable, inspectable, and actionable.
Develop low-burden reporting, threat-sharing, insurance, legal, and recovery systems so small firms disclose attacks without fear of ruinous consequences.
Develop enforceable systems that ensure indigenous peoples and local communities share in benefits from commercial use of biological resources and knowledge.
Create codes, financing, modular retrofits, and landlord incentives so accessibility is incorporated into ordinary affordable housing, not only specialized projects.
Develop interoperable shipping, customs, trucking, terminal, and warehousing information systems that work across public and private actors.
Create detection, maintenance, technician training, and replacement financing systems for high-global-warming refrigerants in food and medicine storage.
Develop public budgeting tools that reveal spending, contracts, service outcomes, and tradeoffs in ways ordinary residents can meaningfully use.
Develop privacy-preserving methods to study paid political influence and coordinated campaigns in messaging platforms without mass surveillance.
Develop affordable lab equipment, experimental protocols, and digital interfaces that enable meaningful participation in science education for disabled learners.
Design safe, legal, affordable electricity systems where overloaded wiring, theft, insecure tenure, and weak utility trust create chronic fire and outage risks.
Identify affordable feed, breeding, veterinary, and manure-management interventions that lower methane without reducing farmer income or animal health.
Develop point-of-care diagnostics for invasive and drug-resistant fungal infections, especially among immunocompromised patients in regions lacking advanced laboratories.
Achieving systems for verifying the absence of forced labor throughout complex global supply chains 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.
Despite recognition of its importance, reliable methods for affordable methods for continuous monitoring of air and water quality in informal settlements are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.
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.
The absence of robust, context-adapted solutions for passive atmospheric water harvesting below 20 percent RH creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.
A persistent gap exists in realizing practical, scalable solutions for design principles for digital public services that remain inclusive of low-literacy users. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.
Despite recognition of its importance, reliable methods for quantum-resistant cryptography practical for constrained critical IoT are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.