NewMedia Centre Stories

Podcast: The Delft Code

The brief
The Delft Code is a podcast series in which Seyran Khademi speaks with guests about how AI, data, and design are shaping the world around us.

Behind the scenes
For this production, our focus was on creating a setup that feels visually calm and technically solid. In a conversation-driven format like this, the content should stay central. That means clean camerawork, strong sound, and editing that supports the pace of the discussion without getting in the way. Compared to our live productions, this kind of project depends less on scale and more on detail.

Why this one stood out
What we like about projects like this is the restraint they ask for. There is no need for big gestures. The work sits in getting the details right and making the final result feel effortless. When a conversation flows naturally on screen, that usually means a lot of careful production choices are doing their job in the background.

Producer: Stephan Voogd
Director: Christian Kasius
Camera Operator & Edit: Celine van Benten, Simone Breetveld, Hector Nieman
Sound Engineer: Vincent Groen

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Blended Learning Animations – Who Is the Engineer of the Future?

How do students discover who they want to become? At TU Delft, the Mechanical Engineering faculty paired with the New Media Centre’s Graphics team to address that question through animated storytelling. By developing eight distinct “Engineer of the Future” personas—each with its own narrative, style, and personality—students could see relatable career paths. Hand-drawn illustrations and concise two-minute videos translated complex concepts into engaging scripts, creating a compelling blended learning experience that inspires and informs.

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AI in Hiring – Can a Machine Pick the Right Candidate?

What if an algorithm decided whether you got the job—even before a human saw your name? AI-driven hiring assessments, now widespread, make implicit assumptions about skills, behavior, and communication that may not match individual realities. By reducing complex narratives to data points, these systems strip applicants of autonomy over their identity and undermine dignity. An interdisciplinary study from TU Delft, University of Twente, and TU Eindhoven inspired a four-minute animated video, making these findings accessible and prompting reflection on AI’s impact in recruitment.

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Teacher – Classroom Simulator using AI

In collaboration with Hogeschool Fontys, TU Delft, and XR Zone, we developed an AI-driven Teacher Classroom Simulator for didactics courses. The project explores how VR can enhance teacher training by offering immersive classroom experiences with real-time feedback. Virtual students simulate authentic behaviour, helping educators refine their skills. By prioritising practical applications, the platform aims to make innovative, immersive education accessible and adaptable to diverse teaching contexts.

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