Making career guidance useful for first-generation learners
Build accessible guidance systems that explain careers, prerequisites, costs, scholarships, apprenticeships, and labor-market realities to students without family networks.
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.
Build accessible guidance systems that explain careers, prerequisites, costs, scholarships, apprenticeships, and labor-market realities to students without family networks.
Build privacy-respecting systems that identify transport, health, safety, family-care, work, and disengagement causes behind persistent student absence.
Create screening and referral models that use portable imaging, AI validation, and dependable follow-up for people with diabetes outside urban eye-care systems.
Create clinically sound pathways, tools, and training that reduce years-long delays in diagnosis and treatment for endometriosis where specialist care is scarce.
Design care models that maintain treatment continuity for migrants, truck drivers, seasonal workers, and displaced people who routinely cross administrative boundaries.
Develop point-of-care diagnostics for invasive and drug-resistant fungal infections, especially among immunocompromised patients in regions lacking advanced laboratories.
Standard trauma-focused therapy models are frequently misaligned with the cultural frameworks of displaced populations from Global, reducing engagement and effectiveness among refugees receiving care abroad.
Despite recognition of its importance, reliable methods for solutions for providing high-quality mental health care in primary care and community settings 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.
The absence of robust, context-adapted solutions for therapeutics and care models that improve outcomes for people living with multimorbidity 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.
Schools in South Africa rarely have counselors trained to screen for depression, and stigma around mental illness discourages families from seeking care even where services technically exist.
Tuberculosis treatment in Mexico requires six or more months of consistent dosing, but migrant and seasonal workers frequently relocate mid-treatment, breaking continuity of care and driving drug-resistant strains.
Current approaches to low-cost continuous metabolic monitors for resource-limited diabetes care either underperform under variable field conditions or generate externalities that undermine long-term sustainability and equity. Closing the gap requires coordinated advances in science, systems design and enabling institutions.
Women in rural areas of Haiti often travel long distances for reproductive healthcare, and the shortage of trained providers leaves many without access to family planning or maternal care services.
Gig economy workers in Australia lose access to healthcare and retirement benefits between short-term engagements because current labor protections are tied to single-employer relationships.
Germany's aging population is outpacing the development of affordable elder care facilities and trained caregiving staff, leaving many families without support for elderly relatives.
A persistent gap exists in realizing practical, scalable solutions for solutions for providing high-quality care for older adults in aging societies with limited resources. 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.
Achieving pathways for achieving universal access to quality early childhood education and care 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.
The absence of robust, context-adapted solutions for systems ensuring the safety and reliability of autonomous systems in healthcare delivery 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.