Finally out on PNAS bit.ly/3y8aUss. It is possible to improve the efficacy of digital contact tracing while preserving privacy? Short answer, Yes! Using risk assessment scores instead of notifications of exposure to COVID-19 positive individuals. Thread 1/n

Press release, in Italian, by polito[bit.ly/3f7OUXe], about our work, on PNASNews, "Epidemic mitigation by statistical inference from contact tracing data". Indaco Biazzo Alessandro Ingrosso Giovanni Catania Fabio Mazza

My and sybil-team new work is out: arxiv.org/abs/2111.03383 "Epidemic inference through generative neural networks" Reconstructing missing information of epidemic processes in contact networks is essential in prevention and containment strategies. But it is hard: a thread 👇

Don’t Look Up: four climate experts on the polarising disaster film | Don't Look Up | The Guardian - theguardian.com/film/2022/jan/…

My and sybil-team latest work on "A Bayesian generative neural network framework for epidemic inference problems" is finally out now on Scientific Reports t.ly/u9qH With Indaco Biazzo Luca Dall'Asta Alfredo Braunstein

New link for the article: bit.ly/3Et859G

Thrilled to announce that my latest work is now published in PNAS Nexus! 🎉🎉 In this work, we show how probabilistic methods based on statistical physics can enhance contact tracing during a pandemic outbreak: bit.ly/4gvfuHC A big thank you to all my coauthors!

🚨 We're thrilled to announce the first invited speaker of the satellite workshop BeSAFE: Eugenio Valdano! Don't miss the chance to join us – abstract submissions close this Friday, May 30! Visit: code-project.it/besafe/ Conference on Complex Systems Centro Ricerche Enrico Fermi

Two quick updates from the BeSAFE satellite workshop Conference on Complex Systems! First, 🚨 we’re excited to announce our second invited speaker: Matteo Cinelli Second, 📆 deadline extended! You now have until Friday, June 15 to submit your abstract. Stay tuned for the next speakers! 🤩