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About the MAKEathon

Turn real-world challenges into AI prototypes!

MAKE stands for Machine leArning and Knowledge Engineering. The MAKEathon is a two-day innovation event where students, professionals, researchers, and domain experts collaborate to develop AI prototypes to address real-world challenges from business and society.

The MAKEathon is an onsite event. Registration is required.

What makes the MAKEathon different?

The MAKEathon combines the pattern-recognition capabilities of Machine Learning – including generative AI – with explicit domain knowledge, rules, and relationships. Together, these approaches enable teams to develop AI solutions that learn from data while also incorporating domain expertise and real-world constraints.

Collaborate. Experiment. Make.

Over two days, teams explore a challenge, shape a solution, build a prototype, and present it. The focus is on interdisciplinary collaboration, hands-on experimentation, and learning from one another.

Join the MAKEathon

24–25 October 2026
FHNW Campus Olten
Onsite event | Registration required

2026 Event Schedule

Venue: FHNW Campus Olten, Von Rollstrasse 10, 4600 Olten
View location and directions.

The detailed schedule will be published soon.

WhenWhereActivity
8:30 am – 9:00 amMain entrance OVRArrival and Registrations
9:00 am – 9:20 amOVR B018Welcome & Introduction
9:20 am – 10:20 amOVR B018Pitching session of the challenge providers (5 min for each presenter)
10:20 am -12:00 amOVR B018Group formation and challenge implementation
12:30 am – 1:30 pmCafeteria, OVRLunch Break
6:00 pm – 6:30 pmOVR B018MAKEathonYouth presentations
6:45 pm – 7:45 pmCafeteria, OVRDinner Break
WhenWhereActivity
9:00 am – 10:00 amAtrium B, OVRCoffee and Croissants
12:00 am – 1:00 pmCafeteria, OVRLunch Break
4:00 pm – 5:00 pmOVR B018Pitching session of solutions (max. 5 min for each team)
5:00 pm- 5:30 pmOVR B018Statements from challenge providers
5:30 pm – 6:30 pmAtrium B, OVRApéro
6:30 pmOVR B018Awards and closing session

Related Events

The MAKEathon draws on insights and expertise from the AAAI-MAKE Spring Symposium and the international HybridAIMS workshop. Both focus on combining machine learning and knowledge engineering.

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