Read what is going on at NETSI. A lot of network science happened during the summer.

Comparative analysis of behavioral feedback models for epidemic forecasting"
www.pnas.org/doi/10.1073/...

We test data-driven vs. analytical behavioral models in retrospective fitting and out-of-sample forecasting of real data.

Shout-out to @netscience.bsky.social @ngozzi.bsky.social

Just released
Epydemix: An open-source Python package for epidemic modeling with integrated approximate Bayesian calibration
www.epydemix.org

Technical paper: www.medrxiv.org/content/10.1...

Here the latest news from @nunetsi.bsky.social

mailchi.mp/neu/news-fro...

How a Northeastern @nunetsi.bsky.social student spearheaded a new exhibit on network science at the Museum of Science in Boston
news.northeastern.edu/2025/03/17/n...

Here the last issue of Notes from NETSI: Announcements and updates from the Network Science Institute at @northeasternu.bsky.social
🔗Link: mailchi.mp/4219a39a473f...
- An Interview with Dr. Brennan Klein
- Awards & Achievements
- Research Highlights

Ensemble forecasts outperform most individual models.
Strong performance at short-term horizons.
These results reinforce the importance of multi-model epidemic forecasting.
🔗 Data: github.com/Predizioni-E...

Influcast, Italy’s first collaborative epidemic forecasting hub for influenza-like illness. A multi-team forecasting hub that integrates 8 models from 5 teams to predict ILI incidence up to 4 weeks ahead, both nationally and regionally.
Report of season 2023/24 www.sciencedirect.com/science/arti...

- Using advanced simulations and analytics we designed an optimized network of sentinel airports. Just 10-20 sites can provide early detection of pathogens.
📊 Beyond a threshold, more sites marginally improve—optimization matters!
🌎 Well-placed sentinel sites provide timely situational awareness.

The physics of cacio&pepe pasta…
I wonder how many cacio&pepe the authors have enjoyed in making the study.
arxiv.org/abs/2501.00536

Glad to share the retrospective analysis of the modeling strategy developed in past years to assess, in real-time, the risks of emerging SARS-CoV-2 variants. Results shows projections performance in capturing the emergence and dominance of two key variants.
www.sciencedirect.com/science/arti...

New computational package for #NetworkMedicine- %DiseaseModules, #DrugRepurposing and more:
PDF at barabasi.com/science/public…
GitHub :github.com/menicgiulia/Ne…

Here you find what has kept us busy at the @nunetsi.bsky.social in the last few weeks

mailchi.mp/neu/news-fro...