Rail transport is slow, capacity is underutilized, maintenance is high, and performance is weather dependent. Additionally, around 25% of trains in the Netherlands still operate on diesel, causing high emissions and unsustainable rail operations.
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Engineering students at TU Delft often work underpaid jobs that don’t utilize their full technical skills, while startups and small tech companies struggle to find affordable, highly skilled talent for short-term engineering tasks.
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Hotel operations depend on legacy PMS software that is slow, fragmented, and hard to use. Everyday tasks like check-ins, room changes, billing, and guest requests require navigating multiple screens and workflows. This creates errors, slows down staff during peak hours, and increases training time when new employees start. The software dictates how people work instead of supporting how hotels actually operate
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We are planning on making a VTOL aircraft that can carry a payload. What we currently have in mind is having a tilt rotor, which allows for vertical lift off and then a propeller plane-like efficiency (for example, V22 Osprey). But the problem with them is that they tend to be very unstable in the transition phase, with pilot-induced oscillations being a major issue. Also, there is an extra aerodynamic complexity with rotors affecting the flow over the wing. Having to carry an extra payload will imply strong rotors and, hence, more structural complexity.
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Cognitive health is an increasingly critical concern. More than 55 million people live with dementia, a number expected to nearly double by 2050, with Alzheimer’s disease accounting for 60–70% of cases. While age is the strongest risk factor, especially after 65, cognitive decline is not a normal part of aging. Moreover, memory loss can also result from traumatic brain injuries, strokes, or other medical conditions, affecting people across different ages. Declining cognitive health significantly impacts daily functioning, making it difficult to manage quotidian tasks. Addressing these challenges requires effective, accessible solutions that support memory, safety, and autonomy in everyday life.
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Electrochemical energy systems, especially redox-flow batteries for stationary energy storage and electrolyzers, face a scalability bottleneck driven by complex, costly, and poorly optimized reactor (stack) architectures. Despite major investment and advances in chemistry, many designs remain direct scale-ups of laboratory hardware, relying on graphite/metal parts and multi-component assemblies that constrain design freedom, increase cost, and hinder manufacturability and rapid iteration. As a result, performance and reliability fall short of their true potential, delaying industrial adoption and large-scale deployment of energy-storage and conversion technologies.
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Honey bees are sensitive bioindicators of ecosystem health. Their behavior, population patterns, and seasonal timing reflect environmental conditions, including air quality, pesticide exposure, climate shifts, and habitat availability. Yet no systematic infrastructure exists to collect and analyze this data at scale. Meanwhile, 1.5-2 million wild honey bee swarms form annually across Europe, the US, and Australia. Fewer than 25% survive without intervention. Each lost swarm represents not just dead bees, but lost data about the environment they came from. Beekeeping remains fragmented, and the potential for bees to serve as distributed environmental sensors remains largely untapped.
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Survey research has a usability problem. We're building Lensym, a survey research platform that fixes this. Not the kind of problem that shows up in user testing or heatmaps. The kind that surfaces three weeks into a longitudinal study, when you discover your branching logic doesn't work as intended. Or when you realize that collaborating with a colleague means emailing spreadsheets back and forth. Or when GDPR compliance requires you to manually pseudonymize data before export.
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