Python package for early warning signals (EWS) of bifurcations in time series data.

Repository to accompany the publication 'Deep learning for early warning signals of tipping points', PNAS (2021)

Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. De Domenico and G. Mangioni

Transition Indicators / Early Warning Signals / Regime Shifts / Change Point Detection

CAP (Common Alerting Protocol) XML alert format parsing, HTML parsing, inserting new alerts into database, OneSignal (possible Android and iOS push notifications), Twitter, Facebook, MailChimp (e-mail notifications) for project of open source solution for natural disasters early-warning.

Research on developing a new method for determining the warning time of Early Warning Signals. Also an attempt at removing window size uncertainty from EWS analysis

Repository of the paper "CoreGDM: Geometric Deep Learning Network Decycling and Dismantling" by M. Grassia and G. Mangioni

Build early warning indicators with SAS

Analysis code: heart-rate complexity (AC1 & Euler characteristic) as early-warning signals for septic shock — MIMIC-IV v3.1 discovery + eICU-CRD v2.0 external validation

Information-geometric early warning signals: KL divergence rate, Fisher-Rao distance, geodesic acceleration

CSD early-warning signals on BTC/ETH crashes — AR(1), std. dev., Kendall's τ | Econometrics & Time Series | M1 Paris 1 Sorbonne

This repository contains the data, analysis scripts, and experimental software for: Hurlstone, M. J., White, B., & Newell, B. R. (2025). Sensitivity of collective action to early warning signals of shifting climate tipping points.

Research-grade implementations of nonlinear dynamical systems, predictability, and regime behavior across complex systems (ecology, synthetic systems, and beyond)

Local Python scorer for early warning signals in one-value time series.

A research compedium (data, code, manuscript) for project on detecting critical slowing down in measles dynamics.

Data, code and results from O'Brien D.A., Deb S., Gal G., Thackeray S.J., Dutta P.S., Matsuzaki S.S., May L. & Clements C.F. 2023. Early warning signals have limited applicability to empirical lake data.

Código usado en la tesis de la licenciatura de matemáticas "Búsqueda de señales de alerta temprana en un modelo matemático de la tuberculosis".

Daily Assessment of Warnings and Notifications for CRC393