The Global Centre for Risk and Innovation (GCRI)
Risk Academy, a Nexortium programmeRisk Science and MethodsDepartment of Quantitative Risk Analysis
Indicator design, normalisation, weighting, aggregation and sensitivity analysis
A composite index is a chain of choices, and each choice can be tested.
risksacademy.comrisk-sciencediscipline
Twin figures for the central Apennines: L'Aquila, Amatrice and Norcia, counted from its layers at their stated dates.
For Risk indicators and composite indices: 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 discipline teaches indicator design, normalisation and weighting, aggregation, sensitivity and uncertainty analysis after the OECD and JRC Handbook on Constructing Composite Indicators (2008), data gaps and imputation, resilience measurement, and the communication of an index such as the INFORM Risk Index as published, never re-weighted; Italy's INFORM scores join the twin once their extract is committed. A graduate can build an index, show how much its ranking depends on each choice and present it without overstating what it shows.
This area covers how risk is summarised in indicators and composite indices: indicator selection, normalisation and weighting, aggregation, sensitivity and uncertainty analysis, data gaps, resilience measurement and the communication of indices such as the INFORM Risk Index without overstating what they show. It is taught in the department of Quantitative Risk Analysis, Faculty of Risk Science and Methods, through 1 course with it as primary discipline and 4 more that also teach it.
8 subtopics, taught across its courses and labs.
Recent developments in risk indicators and composite indices, each with its source; sources checked on 16 October 2026. Summaries are short readings of the source; follow the link for the full account.
News and research as they are published, per discipline, with the faculty's other tools.
The newest research, preprints, news and humanitarian reports for Risk indicators and composite indices, each with its source and date, load here. Open the research and news hub
From the Academy's risk taxonomy: the discipline's own entries and those of its primary courses, with how many courses teach each.
No course with this primary discipline is open yet; these are planned, so you can prepare with the courses also taught here.
Courses with this primary discipline0 open, 1 in preparation
| Lab | What you do in it | Courses using it |
|---|---|---|
| Map lab | Read hazard, exposure and boundaries on real maps | 4 |
| Exposure lab | Overlay people and assets with hazard footprints | 2 |
| Network lab | Build dependency graphs, find critical nodes, trace cascades | 1 |
These courses count in their own primary discipline and also teach this one; they do not count towards its achievement as primary courses.
Cited as places where the subject is practised; the institutions named are sources here, and Risk Academy hosts every course.
Nexus Foundry system pages describe what each system and its rooms are designed to do; they are not a service on offer, and studying here gives no access to them.
Open courses in connected disciplines teach the methods this discipline will build on.