Research across Western Europe shows that healthy diets with fresh, minimally processed food are often more expensive than the typical diet based on processed products. This price difference affects lower-income households the most. At the same time, fast-food outlets are widely available in cities, while fresh and nutritious options are often harder to find and more expensive. This contributes to rising lifestyle-related diseases such as obesity and type 2 diabetes. The current food environment makes unhealthy choices the default for many consumers, particularly students and young professionals.
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Many bachelor and master students struggle to find relevant work that matches their studies and long term ambitions. A common problem is that students often end up in side jobs that have no connection to their education, while they could already be building relevant work experience. The main barrier is time. Students usually do not have enough time or access to the right network to find suitable study related jobs. Companies also find it difficult to reach and select the right academic talent efficiently.
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Pollination is responsible for one-third of the world's food supply, yet the data guiding it remains surprisingly primitive. Today, farmers and beekeepers rely almost entirely on manual observation and guesswork to understand how, where, and when pollination occurs across their land — a method that is slow, subjective, and fundamentally unscalable. This blind spot carries real consequences. Without reliable pollination data, farmers cannot optimize hive placement, identify underperforming zones, or make informed decisions that protect their yields. In fruit farming alone, poor pollination management translates directly into significant and largely preventable economic losses. At scale, the industry still operates without a practical, standardized solution for monitoring pollination in the field — leaving one of agriculture's most critical processes effectively unmeasured where it matters most.
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Many developers are “vibecoding” applications, which often leads to weak or overlooked security. This is especially common in React applications using Supabase, where misconfigured auth, database policies, and client-side logic can expose serious vulnerabilities. There is a clear need for a tool that helps developers identify, understand, and fix common security issues early, without slowing down their development workflow.
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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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3D-printers en 3D-scanners werken vaak met verschillende programma’s en vereisen specialistische kennis. Hierdoor is het voor mensen zonder technische achtergrond moeilijk om snel objecten te ontwerpen, aan te passen en te printen. Er ontbreekt een toegankelijk systeem waarin scanning, ontwerpen en AI-ondersteuning samenkomen.
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Most small to mid-sized companies lack dedicated data analysts and optimization engineers, leading to inefficient decision-making in high-frequency operational processes. Traditional solutions like hiring consultants or full-time specialists are prohibitively expensive, leaving businesses running on intuition rather than data-driven optimization. Critical processes, from inventory management to resource allocation, remain suboptimal, directly impacting profitability and competitiveness in increasingly dynamic markets.
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Every year, thousands of engineering master’s students must complete a thesis, yet finding meaningful real-world research topics is often fragmented and inefficient. At the same time, companies face complex technical challenges in areas such as energy transition, infrastructure, and sustainability but lack accessible research capacity to explore them. Collaboration between universities and industry is largely informal and dependent on personal networks. As a result, valuable research potential remains underutilized while companies miss opportunities to explore innovative solutions and connect with future engineering talent.
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