Scientific articles

Scientific articles about the Earthquake Network project

  1. Aiello, L., Argiento, R., Finazzi, F. and Paci, L. (2025). Survival modelling of smartphone trigger data in crowdsourced seismic monitoring: with applications to the 2023 Pazarcik and 2019 Ridgecrest earthquakes. Journal of the Royal Statistical Society Series A: Statistics in Society. doi.org/10.1093/jrsssa/qnae148.
  2. Finazzi, F., Bossu, R. and Cotton, F. (2024). Smartphones enabled up to 58 s strong-shaking warning in the M7.8 Türkiye earthquake. Scientific Reports, 14: 4878.
  3. Finazzi, F. and Massoda Tchoussi, F.Y. (2024). Assessing the alerting capabilities of the Earthquake Network early warning system in Haiti with Monte Carlo simulations. Stochastic Environmental Research and Risk Assessment, 38: 147–156.
  4. Massoda Tchoussi, F.Y. and Finazzi, F. (2023). A statistical methodology for classifying earthquake detections and for earthquake parameter estimation in smartphone-based earthquake early warning systems. Front. Appl. Math. Stat. 9: 1107243.
  5. Finazzi, F., Bondár, I., Bossu, R. and Steed, R. (2022). A Probabilistic Framework for Modeling the Detection Capability of Smartphone Networks in Earthquake Early Warning. Seismological Research Letters, 93: 3291–3307.
  6. Fallou, L., Finazzi, F. and Bossu, R. (2021). Efficacy and Usefulness of an Independent Public Earthquake Early Warning System: A Case Study—The Earthquake Network Initiative in Peru. Seismological Research Letters, 93: 827–839.
  7. Bossu, R., Finazzi, F., Steed, R., Fallou, L. and Bondár, I. (2021). “Shaking in 5 seconds!” A Voluntary Smartphone-based Earthquake Early Warning System. Seismological Research Letters, 93: 137–148.
  8. Finazzi, F. (2020). The Earthquake Network Project: A Platform for Earthquake Early Warning, Rapid Impact Assessment, and Search and Rescue. Front. Earth Sci. 8: 243.
  9. Finazzi, F. (2020). Fulfilling the information need after an earthquake: statistical modelling of citizen science seismic reports for predicting earthquake parameters in near realtime. Journal of the Royal Statistical Society: Series A (Statistics in Society), 183: 857–882.
  10. Finazzi, F. and Fassò, A. (2017). A statistical approach to crowdsourced smartphone-based earthquake early warning systems. Stoch Environ Res Risk Assess, 31: 1649–1658.
  11. Finazzi, F. (2016). How a smartphone network detects earthquakes in real time. Significance, 13: 6–7.
  12. Finazzi, F. (2016). The Earthquake Network Project: Toward a Crowdsourced Smartphone‐Based Earthquake Early Warning System. Bulletin of the Seismological Society of America, 106: 1088–1099.
  13. Finazzi, F. and Fassò, A. (2014). Earthquake monitoring using volunteer smartphone-based sensor networks. In Proceedings of the METMA VII and GRASPA14 Conference. Torino (IT).

Scientific articles related to the Earthquake Network project

  1. Finazzi, F. (2023). Replacing discontinued Big Tech mobility reports: a penetration-based analysis. Scientific Reports, 13: 935.
  2. Finazzi, F. and Fassò, A. (2020). The impact of the Covid‐19 pandemic on Italian mobility. Significance, 17: 17–18.
  3. Finazzi, F. and Paci, L. (2019). Quantifying personal exposure to air pollution from smartphone‐based location data. Biometrics, 75: 1356–1366.
  4. Finazzi, F. and Paci, L. (2019). Kernel-based estimation of individual location densities from smartphone data. Statistical Modelling, 20: 617–633.