# R&D Portfolio

This research portfolio showcases the theoretical and applied research projects of Prof. A. Mignan in the area of **catastrophe risk
assessment and management**. This site is still under construction. For the time being, please follow the links above for some more
information.

## Projects

List of projects per domain of research. Project pages under construction, please visit us later.

## Catastrophe Dynamics

Multi-risk, accumulation risk, super-catastrophes & other extreme events

## Energy Security

Risk mitigation strategies for critical infrastructures

## Earthquake Prediction

Physics & statistics of earthquake precursors, Solid Seismicity Theory

## GitHub Repositories

List of GitHub repositories categorised following the History-Risk-Prediction motto (`hist/risk/pred`

). The History section collects landmark
catastrophe models and provides meta-analyses & literature reviews while the Risk section provides innovative CAT risk (sub-)models and the Prediction section innovative
forecasting tools.

`hist_CF_inducedEQ`

: Data mining strategy to extract seismic hazard parameters from a literature review of induced seismicity
characteristics in the geothermal context (Mignan et al., Energies, 2021). Includes original and enhanced data tables.
`hist_EQ_precursors`

: Data tables used for meta-analyses of earthquake precursor articles (Mignan, Tectonophys., 2011;
Sci. Rep., 2014; J. Seismol., 2019; Mignan & Broccardo, Seismol. Res. Lett., 2020)
`hist_GC_systemdynamics`

: Reproduction of Forrester's World2/World3 models of civilisational collapse
`risk_EQ_extremes`

: Multi-segment rupture algorithm (Mignan et al., Seismol. Res. Lett., 2015)
`pred_EQ_aftershockXYZ`

: Reproduction of the 2018 Harvard/Google Nature deep learning
study to predict the spatial distribution of aftershocks and testing of simpler Machine Learning approaches (Mignan & Broccardo, IWANN, 2019)
- would later lead to Mignan & Broccardo (Nature, 2019)
List of R package tutorials

`rseismNet`

: Earthquake Frequency-Magnitude Distribution & Network Statistics, including the Bayesian Magnitude of Completeness
(BMC) method (e.g., Mignan et al., 2011)
`rseismTLS`

: Induced Seismicity Traffic Light System, both frequentist & Bayesian approaches (Mignan et al., 2017; Broccardo
et al., 2017)