His pioneering research explores how AI and digital media shape the way we think, learn, work, play, cooperate, and govern.
🏆 Award ceremony: Oct 28, 2025 | 6:30 p.m.
📍 Binario 3 | OGR Torino (Corso Castelfidardo 22)

Open to the public Reserve here 👉 bit.ly/47hxXDN

Organized by @gstonge.bsky.social @ngozzi.bsky.social and Alessandra Urbinati

This new round will explore the potential impact of these preventive strategies and help inform public health decisions across Europe.

Want to contribute to this work?
🗓 Submission deadline: 1 December 2025
📧 Contact: rsv-respicompass@isi.it
🔗 Learn more: github.com/european-mod...

#IDsky #EpiSky

Great collaboration with @mattk7.bsky.social, @jessica-davis.bsky.social, Corrado Gioannini, Luca Rossi, Marco Ajelli, @netscience.bsky.social, @alexvespi.bsky.social

Epydemix is suitable for a wide range of applications from education to advanced pipelines for forecasting and scenario analysis.

Plenty to explore:
📄 Preprint: www.medrxiv.org/content/10.1...
💻 Source + tutorials: github.com/epistorm/epy...
📊 Activity snapshot: www.epistorm.org/activities/e...

Built-in Approximate Bayesian Computation (ABC) allows model calibration to observed data. Models developed outside of Epydemix can still be calibrated using the ABC modules.

Users can explore estimated posterior distributions and run forward projections under a range of scenarios.

Epydemix lets you integrate age structure and contact matrices into your models.

We provide data for 400+ locations, covering nearly all countries, plus subnational resolution for the US, Canada, China, India, and more.

With Epydemix, you can build stochastic compartmental models with arbitrary compartments and transition rules.

From simple SIR models to highly customized structures, Epydemix supports the full spectrum of compartmental modeling.