Challenges.

Catch residential energy waste before bills spike

Residential buildings use more energy than necessary because heating, cooling, and insulation problems are found only after energy use rises.

Expose hidden electricity costs in small businesses

Small businesses pay more for electricity because they cannot tell which equipment and processes use the most power.

Shift flexible electricity use off peak hours

Homes and businesses overload electricity networks during peak hours because they have limited ways to shift flexible uses to other hours.

Stop renewable electricity going unused on the grid

Renewable electricity is wasted when electricity networks cannot deliver all the power generated where and when it is produced.

Compare energy use across multi-site businesses

Multi-site businesses cannot see which locations use the most energy because their energy records use incompatible formats.

Protect power systems from correlated weather hazards

Power-system reliability degrades during extreme weather when generation, transmission, and storage assets are exposed to correlated hazards.

Anticipate climate hazards across electricity networks

Electricity network operators cannot anticipate how storms and other climate hazards will affect multiple critical assets at once.

Make repair-or-replace decisions before discarding products

Working products are thrown away because owners cannot tell whether repairing them is worth the cost.

Match surplus products to nearby business buyers

Businesses throw away surplus products while other businesses buy the same products new because sellers cannot find potential buyers quickly.

Route used products back to manufacturers for refurbishment

Manufacturers receive fewer products for refurbishment because customers do not know how or where to return them.

Pinpoint avoidable material loss in business processes

Businesses cannot reduce waste because they cannot identify which processes generate the most avoidable material loss.

Target irrigation to where crops actually need water

Farmers waste water because irrigation systems deliver more water than crops need in some parts of a field.

Align irrigation schedules with soil and weather data

Agricultural water use remains high because irrigation schedules do not reflect soil moisture and weather conditions.

Distinguish temporary from sustained water demand rises

Water shortages worsen because utilities cannot tell whether a rise in demand is temporary or likely to continue.

Show households which activities drive water use

Households use more water than necessary because consumption feedback rarely shows which daily activities are driving use.

Close the gap between urban water demand and supply

Cities face water shortages because demand is growing faster than reliable local supply.

Detect water contamination earlier in distribution pipes

Contaminated water reaches consumers because problems are not detected early enough in distribution pipes.

Identify highest-water processes in industry

Water-intensive industries cannot reduce consumption because they cannot identify which processes use the most water.

Detect water supply deterioration before shortages hit

Communities discover water shortages only after reservoirs, underground water supplies, or local sources have already deteriorated.

Adapt farm production to shifting rainfall and temperatures

Farmers cannot maintain reliable production as changing rainfall and temperatures alter growing conditions.

Stop public transport delays spreading across routes

Public transport delays can spread across vehicles and routes because schedules and which vehicles serve which routes are tightly interconnected.

Find inefficient driving patterns in vehicle fleets

Companies operating large vehicle fleets miss fuel-saving opportunities because vehicle data does not identify inefficient driving patterns at the driver or route level.

Match bus routes to changing passenger demand

Buses run nearly empty on some routes while passengers are left waiting on others because fixed schedules do not match changing demand.

Identify unsafe walking and cycling routes at street level

Walking and cycling remain unsafe on some routes because pedestrian and cyclist risks are difficult to identify at street level.

Locate where urban air pollution exposure peaks

Cities cannot identify where air pollution creates the greatest exposure because traffic, emissions, weather, and population data are rarely combined.

Connect remote communities to jobs and education

People in remote areas face fewer employment and education opportunities because transport and digital access limit connections to larger labor and learning markets.

Open employment pathways for people with disabilities

People with disabilities face lower employment opportunities because recruitment and workplace systems are not consistently accessible.

Keep worker skills ahead of industry change

Workers lose job security when industries change faster than their skills and training opportunities.

Connect workplace hazard data across disconnected systems

Workplace hazards recur because incident, inspection, and equipment-risk data are maintained in disconnected systems.

Make informal worker conditions visible to policymakers

Informal workers remain economically vulnerable because their employment and working conditions are poorly measured.

Show workers which skills will stay valuable

Workers cannot identify which skills will remain valuable as industries adopt new technologies and processes.

Match transferable skills to job requirements when hiring

Employers cannot identify transferable skills when hiring because candidates and job requirements use different skill definitions.

Compare climate risks across operating locations

Companies cannot compare climate risks across locations when deciding where to operate, invest, or expand.

Reduce banking and credit costs for low-income households

Low-income households pay more for basic banking and credit because affordable financial services are harder for them to access.

Connect eligible families to support they qualify for

Families miss support they qualify for because eligibility rules and application processes are difficult to navigate.

Close learning support gaps across socioeconomic backgrounds

Students from different socioeconomic backgrounds receive unequal learning support because tutoring, study space, and mentoring vary by household resources.

Extend learning support beyond school for lower-income students

Students from lower-income households can receive less learning support outside school because access to tutoring, mentoring, quiet study space, and feedback varies by household.

Make essential digital services work with accessibility tools

People with disabilities face barriers to essential digital services because websites and applications do not reliably support accessibility tools.

Make public spaces consistently accessible to all

People with disabilities cannot access public spaces because sidewalks, entrances, and facilities are not consistently accessible.

Shorten rural travel time to essential services

People in rural communities take longer to reach essential services because healthcare, education, and public services are concentrated farther away.

Reduce uneven environmental hazard exposure in disadvantaged communities

People in disadvantaged communities face higher exposure to environmental hazards because pollution and industrial activity are unevenly distributed.

Expand practical technology skills in under-resourced schools

Students from under-resourced schools have fewer opportunities to develop practical technology skills because equipment, instruction, and project access vary between schools.

Return teacher time from grading to student observation

Teachers spend time preparing lessons and grading instead of observing student learning because assessment and administrative work consume instructional time.

Keep coursework challenge matched to each student

Students lose motivation when coursework is consistently too easy or too difficult because teachers cannot continuously adjust the challenge level.

Identify local air pollution sources and exposure levels

People are exposed to unhealthy air because local pollution sources and exposure levels are difficult to identify.

Reduce unnecessary self-diagnosis overloading medical facilities

People self-diagnose diseases, overloading medical facilities that can be used for people who need them.

Close healthcare quality gaps in underserved communities

People in underserved communities receive lower-quality healthcare because doctors, clinics, and treatment capacity are unevenly distributed.

Reduce heat illness in neighborhoods lacking shade and cooling

Extreme heat causes more illness in neighborhoods with little shade or access to cooling.

Reduce climate-driven health risks from heat and pollution

People face greater health risks from heat, air pollution, and infectious diseases as climate conditions change.

Catch conflicting prescriptions before polypharmacy stacks pile up

Patients end up on dangerous multi-drug regimens because separate clinicians each add medicines without seeing what the others already prescribed—so no one owns the full list as risks compound.

Balance food bank supply with changing local demand

Food banks leave some communities short of food while supplies sit elsewhere because donations and local demand change at different rates.

Match housing and services to people experiencing homelessness

People experiencing homelessness remain without stable housing because available beds, services, and housing opportunities are difficult to match to their needs.

Track severe poverty between official survey cycles

Severe poverty remains invisible between official surveys because household conditions change faster than poverty data is collected.

Speed humanitarian response to rising conflict-related needs

Humanitarian organizations send too little or too late to places where conflict-related needs are rising because population movements and local conditions change quickly.

Right-size humanitarian aid to changing local needs

Humanitarian organizations send the wrong amount of aid to communities because local needs and service availability change faster than assessments.

Surface early conflict signs from scattered community reports

Authorities miss early signs of local conflict because incidents, grievances, and community reports are scattered across different sources.

Keep humanitarian aid routes safe amid rapid change

Conflict responders cannot keep aid routes safe because roads, hazards, and population movements change rapidly.

Connect displaced people to essential services across agencies

Displaced people miss essential services because their registration, location, and available services are recorded by different organizations.

Give courts timely visibility into case status and workload

Courts delay cases because judges, prosecutors, and court staff do not have timely information about case status and workload.

Guide people to legal help they are eligible for

People who need legal help go without it because eligibility rules, available services, and case information are difficult to navigate.

Show whether public policies are working across agencies

Public institutions cannot tell whether policies are working because implementation results are scattered across agencies.

Flag unusual decisions across millions of public transactions

Administrative errors remain undetected because unusual decisions are difficult to identify across millions of public transactions.

Show citizens how public decisions affect them

Citizens cannot see how public decisions affect them because government information is scattered across agencies and documents.

Connect public service complaints to faster outcomes

People wait longer for public services when agencies cannot connect complaints, requests, and outcomes.

Link hidden company owners to public contract awards

Companies with hidden owners can win public contracts because ownership records are difficult to connect to procurement records.

Trace conflicts of interest across executives and officials

Companies can hide conflicts of interest because relationships between executives, suppliers, and public officials are difficult to trace.

Reveal ultimate company owners behind shell companies

The people who ultimately own companies can remain hidden behind layers of shell companies and intermediaries.

Distinguish legitimate payments from bribery in transactions

Investigators cannot reliably distinguish legitimate payments from bribery because transaction records lack context about contracts and business relationships.

Trace forced-labor risks deep in supplier networks

Companies discover forced-labor risks late because supplier relationships beyond the first level are difficult to trace.

Verify supplier environmental compliance from scattered evidence

Businesses cannot verify whether suppliers meet environmental standards because evidence is scattered across audits and supplier records.

Trace raw materials through complex supply networks

Consumers cannot verify where raw materials came from because sourcing information is lost across complex supply networks.

Verify whether AI-generated content is authentic

Organizations cannot tell whether AI-generated content is authentic because information showing where content came from is missing or unreliable.

Prevent AI agents acting on conflicting instructions

AI agents take unintended actions when instructions conflict with external content, tool outputs, or system rules.

Block unauthorized actions by AI agents using tools

AI agents can take unauthorized actions when model decisions interact with tools, permissions, and malicious external content.

Slow false information before it outpaces fact-checkers

False information reaches audiences faster than fact-checkers can verify it because digital platforms distribute content almost instantly.

Detect AI impersonation of real people in media

AI-generated images, audio, and video can impersonate real people because they can closely resemble authentic recordings.

Protect children from unsafe advice in AI systems

Children can receive unsafe advice from AI systems because safeguards do not reliably account for age and vulnerability.

Make online privacy practices understandable before data sharing

Online services collect more personal data than users expect because privacy practices are difficult to understand before data is shared.

Locate sensitive data and who can access it

Personal data is exposed when organizations cannot identify where sensitive information is stored or who can access it.