Kids Vibe Code Hackathon @ I2SC

 

✨ This Saturday, October 11th, Interdisciplinary Institute for Societal Computing (I2SC) hosted a Kids Vibe Code Hackathon — and the creativity these young minds brought was nothing short of inspiring!


Without much input from us, the kids jumped right into building their own projects using platforms from Lovable Dev and Rosebud AI.
Their ideas were wildly imaginative and impressively executed:

🎮 Halloween-themed jump-and-run games
🌲 Visualizations of unhealthy forests
🖐️ Games using hand tracking and camera input
🧩 Creative mashups of game mechanics

A big shout-out to the mentors who supported the event with their time and enthusiasm: Ruta Binkyte · Adish Singla · Hamayoon Behmanush · Vikram Kamath

A big shout out to the organizers of the Kids Hackathon Worldwide initiative (https://kidsaicoding.com/kids-hackathon-worldwide), we’re grateful for the inspiration behind it.

It was incredible to see how much the children could create with minimal guidance — a reminder of what’s possible when curiosity meets the right tools.

Looking forward to the next one! 🚀👾














Popular posts from this blog

Job: Student Research Assistant (m/w/d) for AI & Misinformation detection

Image
Join Us in Fighting Misinformation! We are seeking a passionate and skilled Research Assistant to contribute to cutting-edge projects at the intersection of AI, digital literacy, and societal impact. Be part of a team dedicated to developing AI-powered tools to help young people combat misinformation. If you are interested, submit your CV and a brief cover letter detailing your relevant experience and interest in combating misinformation through AI to Katja Raak - kraak@cs.uni-saarland.de .
Read more

Blog: The Importance of Good Data in Satellite Imagery Analysis

Introduction The phrase "Garbage-In-Garbage-Out" is well-known in data science, but it takes on new meaning in real-world projects, especially those involving satellite imagery. In these contexts where ground truth labels are often sparse, preprocessing becomes not just a step, but a cornerstone of success. Reflecting on my project, I have realized that understanding and preparing data account for about 70% (if not more) of the work and determines the quality of the results. Data preprocessing ensures that the inputs to your model are clean, structured, and tailored to the problem at hand. This is true for all kinds of data, whether tabular data, text, or images. However, the proper preprocessing steps come from initially "looking" at the data. That means preprocessing is dependent on the data and the task at hand.   Understanding Satellite Images Satellite images are far more than just pictures; they encode a wealth of information about the spectral signature of a ...
Read more

Job: Student Research Assistants (m/w/d)

Image
The Interdisciplinary Institute for Societal Computing (I2SC) is looking to hire 1-2 student research assistants to work on interesting projects contributing to the Society. Interested applicants are kindly requested to email their complete application (short cover letter, CV, summary of academic achievements in one PDF-file) to Katja Raak - kraak@cs.uni-saarland.de
Read more