Emitzá Guzmán (VU): The Best Ends by the Best Means: Bringing Ethics into Software
Computer software is full of ethical problems. It manipulates voters, discriminates by people’s gender, race or social standing, raises enormous privacy problems and is often designed to be highly addictive. Very slowly, Parliaments and Congresses around the world are catching up with the tech industry that’s affecting billions of users every year. This project uses training data that consists of opinions of thousands of diverse users, developers and policymakers. By instrumentalizing the opinions of the people and training AI models to detect ethical issues, the ultimate goal is to help make software companies accountable for the ethical breaches within their software.
Matteo Mazzanti (UvA): Novel quantum logic gates architecture with trapped ions and optical tweezers There are complex problems that classical computers struggle to solve. For example, route optimization, drug design, and material discovery all require extraordinary computational power. Quantum computers are central in the solution to this problem. However, today’s quantum computers are difficult to […]
Sara Geven (UvA): On track: a scientifically-informed ability tracking procedure to enhance equal learning opportunities Students in the Netherlands are allocated to different educational tracks at the age of twelve based on their teacher’s recommendation. Studies show students from disadvantaged backgrounds receive less ambitious track recommendations. Even within the same school, teachers use different tracking […]
Gerben ter Riet (HvA): Urban Vitality Open Science Checklist: No Time to Waste In medical research alone, each year, hundreds of billions of euros are wasted, due to poor questions, poor choice of methodologies, poor reporting and archiving. The Open Science Checklist aims to optimize research projects, from start to end, in order to research waste […]