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This week’s Science Fair Saturday brings a triple-threat journal breakdown featuring three powerhouse research communities — from Toronto’s automated chemistry labs, to Bologna’s digital-twin heritage engineers, to Europe’s systems-biology education architects.

We’re diving into:



⚙️ 1. ChemOS 2.0 — The Operating System of Tomorrow’s Self-Driving Labs

Featuring scientists from the University of Toronto, Vector Institute, Intel Labs, CIFAR, Acceleration Consortium;

Alán Aspuru-Guzik’s team shows how chemistry is entering a new era: automated synthesis robots, fog-computing orchestration, SiLA2 device control, and AI-driven experiment planning — all working together as a true laboratory OS.

🏛️ 2. Digital Twins for Cultural Heritage — Reproducibility for Museums of the Future

20+ scientists from Alma Mater Studiorum – University of Bologna + Italy’s National Research Council;

This landmark 2025 paper proposes a fully reproducible workflow for 3D scanning, photogrammetry, metadata, and digital-twin creation. It’s the blueprint for building virtual museums, VR-ready exhibitions, and cultural preservation pipelines.

🧬 3. The European Curriculum of Systems Biology — Training the Next Generation of Interdisciplinary Scientists

25+ top researchers across Chalmers University, DKFZ, ETH Zürich, Vrije Universiteit Amsterdam & more;

A full framework for what a real Systems Biology master’s program should teach: modeling, multiscale simulations, data integration, experimental workflows, and cross-disciplinary communication.

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Saturday Science Fairs are weekly hands-on technical sessions where members explore modern biotechnology, automation, data science, and experimental design. These are designed like mini research labs, focusing on applied science, engineering practice, and multidisciplinary problem-solving.

It’s a space for scientists, engineers, tinkerers, and technical learners to build, test, and analyze in an open, collaborative environment.

What Happens Each Saturday
• 🧪 Live demonstrations (tools, workflows, pipelines)
• 🔬 Group experiments or modeling sessions
• 📊 Data science breakout rooms (KNIME, ArcGIS, GIS, bioinformatics)
• 🤖 Prototyping & automation challenges
• 📚 Journal club & research review
• 🧩 Mini science competitions

Outcome

Participants walk away with:
• new technical skills
• hands-on experience with real tools
• progress on personal or group science projects
• portfolio pieces and reproducible workflows

It’s a community research lab without the lab—
a space to learn, test, create, and grow alongside other driven people.

Come with an idea or come to learn.
Either way, you leave with progress.

Biohacking
BioInformatics
Biotechnology
3D Modeling
Synthetic Biology

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