The Global Centre for Risk and Innovation (GCRI)
Risk Academy, a Nexortium programmeFaculty of Risk Science and Methods
Probability and statistics for risk, catastrophe and exposure modelling, composite indicators
The quantitative core: a rate becomes a return period, a return period becomes a lifetime probability, an event set becomes an exceedance curve, and every step carries an error that can be computed.
risksacademy.comrisk-sciencedepartment
Twin figures for the central Apennines: L'Aquila, Amatrice and Norcia, counted from its layers at their stated dates.
For Department of Quantitative Risk Analysis: the faculty's twin of L'Aquila on the planet map, the globe and in 3D. Pick a generator, switch layers, run the instruments; every layer prints its provider and date.
Drag to move, right drag or Shift with a drag to turn and tilt, Ctrl with the wheel to zoom. Keyboard: arrows move, Shift with arrows turn and tilt, + and - zoom, 0 resets, V steps through the views, Escape clears.
Flat plan of the same data: relief, the three reference epicentres with magnitude and depth, and the numbers below; the sampler's figure shows one precomputed field with its parameters. The 3D twin opens on devices with WebGL once its data and library have been checked.
The map loads from this site as it nears the view (MapLibre 6.9.1, checked by hash).
The department teaches maximum-likelihood fitting with standard errors on the Gutenberg-Richter relation, Poisson occurrence after Cornell (1968), Monte Carlo simulation with its sampling error on the hexagonal cells of the Apennine twin, the hazard, exposure and vulnerability components of a catastrophe model, and the construction and sensitivity analysis of composite indicators after the OECD and JRC handbook, with INFORM as the worked example. A graduate can fit, sample and aggregate, and state the uncertainty of each result.
Department of Quantitative Risk Analysis is a department of Faculty of Risk Science and Methods with 5 disciplines. 0 of the 7 courses with their primary discipline here are open for enrolment now; 7 are in preparation.
A mark is one primary course, filled when it is open.
News and research as they are published, per discipline, with the faculty's other tools.
The newest research, preprints, news and humanitarian reports for 5 disciplines, each with its source and date, load here. Open the research and news hub
Quantitative risk analysis and statistics, Catastrophe, exposure and vulnerability modelling, Risk indicators and composite indices, Probabilistic forecasting and verification, AI and machine learning for risk analysis
Courses whose primary discipline is in this department; then the courses from other departments that also teach it, and the authoring list.
Each discipline page sets out its scope, courses, labs, technology and key terms.