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Illustrative: rain routed down a catchment to the flood plain, generated, with the intensity of a scenario rising and falling

Risk Academy, led by the Nexus Consortium · Faculty

Faculty of Systems and Nexus Studies

Risk that no single owner sees arises between systems: a dry year lowers the river, the turbine spins less, the irrigation canal runs short, the lake floods less and the catch falls.

01Map

How its disciplines connect

The map

DepartmentDisciplineNexus Standard taught here

/
02In a figure

Faculty of Systems and Nexus Studies drawn as its own subject

Faculty of Systems and Nexus Studies: 2 departments and 8 disciplines. 3 disciplines with open courses; primary courses 3 open and 16 in preparation. 01 Department of Systemic Risk and Complexity: Systemic, compound and cascading risk (1 open, 1 in preparation); Complex systems and systems modelling (1 open, 4 in preparation); Global catastrophic risks (0 open, 1 in preparation); Tipping points and resilience of Earth and social systems (0 open, 0 in preparation); Supply network and economic contagion (0 open, 0 in preparation). 02 Department of Nexus-Based Risk Management: Nexus-Based Risk Management (NRM) (1 open, 10 in preparation); Water-energy-food-ecosystems nexus (0 open, 0 in preparation); Polycrisis and global risk assessment (0 open, 0 in preparation).
Systems and Nexus Studies: departments, disciplines and courses
  • Open, 3
  • In preparation, 16
Drawn as a network cascade: a shock enters at the left, passes through the departments to their disciplines, and arcs join related disciplines. It shows connection, not what will fail.From the Academy atlas and the curriculum: primary courses only; numbers mark departments.
03Maps

Build a twin of any place

Search any place or open the world; the layers and generators follow the faculty’s subjects on the planet map, the globe and in 3D.

The Tonle Sap and the Lower Mekong at Phnom Penh: a flat plan of the faculty twin. Terrain 0 to 1,700 m; River 2,956 km; 14 dams; 6 power plants, 88 MW; Tree cover 37.8 percent of the box; Cropland 39.9 percent of the box; Built-up 0.9 percent of the box; Permanent water 4.7 percent of the box; River discharge, GloFAS via Open-Meteo: read live when the 3D twin opens; Vegetation index, MODIS Terra NDVI 8-day: read live when the 3D twin opens; Surface water extent, OPERA DSWx (HLS): the flood pulse: read live when the 3D twin opens; Land cover classes, MODIS IGBP (annual): read live when the 3D twin opens. Contours every 250 metres from the elevation grid; named rivers by class; cropland, tree cover, water and built-up shares (esa worldcover 2021) as the class holding a quarter or more of each cell; dams as marks; power plants as marks.
The Tonle Sap and the Lower Mekong at Phnom Penh, Cambodia. Flat plan of the same data: the lake and rivers, the dams, the plants by capacity, the cropland and tree cover cells and the numbers below. The 3D twin opens on devices that can draw it, once its data and code have been checked; discharge, vegetation, surface water and the annual land cover load in the twin on request, each with its data date.
  • Terrain 0 to 1,700 m
  • River 2,956 km
  • 14 dams
  • 6 power plants, 88 MW
  • Tree cover 37.8 percent of the box
  • Cropland 39.9 percent of the box
  • Built-up 0.9 percent of the box
  • Permanent water 4.7 percent of the box
  • River discharge, GloFAS via Open-Meteo: read live when the 3D twin opens
  • Vegetation index, MODIS Terra NDVI 8-day: read live when the 3D twin opens
  • Surface water extent, OPERA DSWx (HLS): the flood pulse: read live when the 3D twin opens
  • Land cover classes, MODIS IGBP (annual): read live when the 3D twin opens
Credits and dates per layer are listed under the stage. Relief in the twin is exaggerated ×1.5 for legibility.

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: the lake and rivers, the dams, the plants by capacity, the cropland and tree cover cells and the numbers below. The 3D twin opens on devices that can draw it, once its data and code have been checked; discharge, vegetation, surface water and the annual land cover load in the twin on request, each with its data date.

The boundaries, names and designations shown do not imply any judgement on the legal status of any territory, or any endorsement or acceptance of such boundaries. Countries: Natural Earth (public domain).

04Live map

Growing conditions in the Mekong Basin

Crop greenness, root-zone soil water, rain, heat, fire and flood, the conditions behind harvests, over the Mekong Basin.

The interactive map needs JavaScript; the layer list and sources are below.

Layers 2

Growing conditions

About this layer
Evidence
Observed (clouds leave gaps)
Source
MODIS Terra NDVI (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite index; clouds leave gaps
Newest at build
2026-10-13
Resolution
about 250 m grid
Uncertainty
Satellite greenness index over the 8 days to the date shown; an indicator of crop and pasture condition, not a yield estimate or a food security warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled
Source
SMAP Level 4 (NASA NSIDC DAAC)
Provider
NASA NSIDC DAAC
Licence
NASA open data
Vintage
daily; Model with satellite data assimilated
Newest at build
2026-10-11
Resolution
about 2 km grid
Uncertainty
Model with satellite data assimilated. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Estimated
Source
GPM IMERG (NASA GES DISC)
Provider
NASA GES DISC
Licence
NASA open data
Vintage
daily; Satellite estimate, near real time
Newest at build
2026-10-12
Resolution
about 2 km grid
Uncertainty
Satellite estimate, near real time. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS NOAA-20 (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite retrieval; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 1 km grid
Uncertainty
Satellite skin temperature of the ground on the day shown, an indicator of cooling demand; not air temperature or a heat warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds and overpass timing leave gaps)
Source
VIIRS NOAA-20 375 m (FIRMS) (NASA LANCE FIRMS)
Provider
NASA LANCE FIRMS
Licence
NASA open data
Vintage
daily; Satellite detection; clouds and overpass timing leave gaps
Newest at build
2026-10-13
Resolution
about 500 m grid
Uncertainty
Satellite hot-spot detections for the day shown, including gas flares and industrial heat; not a confirmed fire, an incident report or a warning.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Observed (clouds leave gaps)
Source
VIIRS Global Flood Product (NASA LANCE)
Provider
NASA LANCE
Licence
NASA open data
Vintage
daily; Satellite detection; clouds leave gaps
Newest at build
2026-10-14
Resolution
about 250 m grid
Uncertainty
Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
Evidence
Modelled (latest year GIBS publishes)
Source
MODIS Terra and Aqua land cover (MCD12Q1) (NASA LP DAAC)
Provider
NASA LP DAAC
Licence
NASA open data
Vintage
yearly; Satellite classification; latest year GIBS publishes
Newest at build
2024-01-01
Resolution
about 500 m grid
Uncertainty
Satellite land cover classes for the year shown, including croplands; a classification with known errors, not a farm register.
Reached through
gibs.earthdata.nasa.gov, only after you allow the live map

Latest available

NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth

Loading the latest NASA imagery.

Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.

Growing conditions, framed on the Mekong Basin.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.

Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONETSources and licences

  • We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • SMAP Level 4 soil moisture and snow mass, NASA Global Modeling and Assimilation Office; distributed by the NASA National Snow and Ice Data Center DAAC; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • NASA Fire Information for Resource Management System (FIRMS), VIIRS 375 m active fire product, NASA LANCE; vector tiles via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
  • Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
  • © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
  • Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
  • Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
  • Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
  • Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
  • NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
  • River discharge forecast, 30 days with range (GloFAS via Open-Meteo): Contains modified Copernicus Emergency Management Service information 2026; not a flood warning.
  • Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.
  • Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program..
  • Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
  • Optional layers (12 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.

Layers and dates

  • Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE · 13 Oct 2026
  • Root-zone soil moisture, 0 to 100 cm: SMAP Level 4, NASA NSIDC DAAC · 11 Oct 2026
  • Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
  • Land surface temperature, day: VIIRS NOAA-20, NASA LANCE · 13 Oct 2026
  • Active fires and thermal anomalies: VIIRS NOAA-20 375 m (FIRMS), NASA LANCE FIRMS · 13 Oct 2026
  • Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
  • Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC · 2024

05The faculty’s method

One river, three systems: how a dry year travels through water, energy and food

In a basin the same water turns turbines, floods fields and feeds fish. A dry year is one shock that arrives in three systems at once, and the couplings between them, not the shock, decide how large the loss becomes.

Sources: Ziv, Baran, Nam, Rodriguez-Iturbe and Levin, Trading-off fish biodiversity, food security, and hydropower in the Mekong River Basin (2012); Hoff, Understanding the nexus: background paper for the Bonn 2011 Nexus Conference (2011); Junk, Bayley and Sparks, The flood pulse concept in river-floodplain systems (1989); Steduto, Hsiao, Fereres and Raes, Crop yield response to water, FAO Irrigation and Drainage Paper 66 (2012).

06Departments

Departments and their disciplines

Each card names the department’s disciplines and its open courses.

07Disciplines

Disciplines of the faculty

Each discipline once, in its department.

08Console

How Systems and Nexus Studies is organised, as a process you can run

Press Play to run this process from this page’s own data.

09Standards and evidence

Standards and evidence, with 5 related topics

Nexus Standards the faculty teaches toward

The Nexus Standards areas whose standards the faculty’s disciplines teach toward, with the number of standards and disciplines in each.

10Learning

Learning and connections

Labs used in the faculty’s courses

LabWhat you do in itCourses using it
Network labBuild dependency graphs, find critical nodes, trace cascades3
Map labRead hazard, exposure and boundaries on real maps1
11Take part

Take part in Systems and Nexus Studies

Start from who you are.

12Questions

Questions, answers and key terms

Is study here free?
Yes. Every course and learning material of Risk Academy, led by the Nexus Consortium, is free to study, self-paced or with a cohort. Ordinary participation has no fee; paid work, internships and fellowships are separate arrangements.
What does completing a course give me?
A completion record: the course, its version, the date and what was assessed, private by default and shared by you. It stacks into discipline, department and programme achievements. A record states what was studied and assessed and does not certify competence; it is not a licence, a professional title or an employment status.
Where do the data and the places come from?
Every faculty teaches on a twin of a real place built from open data; each layer carries its provider, licence and date, and every result on the Academy states its source. Maps and figures are indicators for teaching, never an assessment of a place.
How do I take part beyond the faculty’s courses?
Form a competence cell of three to seven people, study a shared pathway, take a supervised assignment in the National Working Groups, or bring a cohort from your institution. For organisations.

Key terms

Term

Faculty of Systems and Nexus Studies

The faculty studies risk that arises from the interdependence of systems, from cascades and complexity to global catastrophic risk.

Term

Department

A body of related disciplines within the Faculty of Systems and Nexus Studies, with its own courses and pathways.

Term

Primary discipline

The discipline a course mainly teaches; a course may also teach up to two other disciplines.

Term

Stock and flow

A stock is a quantity that accumulates (water in a reservoir); a flow changes it per unit time (inflow, release); the loop simulator integrates one stock monthly.

ReportsContribute

Contribute evidence from this page.

Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

Risk Academy
Faculty of Systems and Nexus Studies

Start in one department

Each department lists its disciplines, courses and pathways; each discipline its scope, labs, technology and key terms.