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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n87a3uwz.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero nx-fh\" data-layout=\"faculty\" data-ground=\"none\" data-ah=\"home\" aria-labelledby=\"nx-ast-title\"><div class=\"nx-container\"><div class=\"nx-fh-grid\"><div class=\"nx-hero-text nx-ah-text\"><p class=\"nx-ah-kicker\"><span>Risk Academy, a Nexortium programme<\/span><span>Faculty of Systems and Nexus Studies<\/span><\/p><p class=\"nx-ah-accent\"><svg class=\"nx-ah-motif\" data-motif=\"loops\" viewBox=\"0 0 44 16\" aria-hidden=\"true\" focusable=\"false\"><circle data-k=\"b\" cx=\"16\" cy=\"8\" r=\"6.5\"\/><circle cx=\"28\" cy=\"8\" r=\"6.5\"\/><\/svg><span>Interdependence, cascades, complexity and the water-energy-food-ecosystems nexus<\/span><\/p><h1 id=\"nx-ast-title\" class=\"nx-hero-title nx-ah-title\">Faculty of Systems and Nexus Studies<\/h1><p class=\"nx-tagline nx-ah-lede\">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.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"#nx-sec-maps\">Open the twin builder <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"#nx-sec-departments\">See the departments<\/a><\/div><\/div><div class=\"nx-fh-con\"><p class=\"nx-fh-con-h\"><span class=\"nx-tw-path\"><span>risksacademy.com<\/span><span>systems-nexus<\/span><strong>faculty<\/strong><\/span><\/p><div class=\"nx-fh-con-b\"><figure class=\"nx-ra-sig\" data-motif=\"loops\" data-scope=\"faculty\"><svg class=\"nx-ra-sig-svg\" viewBox=\"0 0 480 320\" role=\"img\" aria-label=\"Faculty of Systems and Nexus Studies: 2 departments and 8 disciplines, drawn as coupled loops. 3 disciplines with open courses; primary courses 3 open, 12 in preparation and 4 approved for authoring. 01 Department of Systemic Risk and Complexity: Systemic, compound and cascading risk (1 open, 1 in preparation, 0 approved); Complex systems and systems modelling (1 open, 0 in preparation, 4 approved); Global catastrophic risks (0 open, 1 in preparation, 0 approved); Tipping points and resilience of Earth and social systems (0 open, 0 in preparation, 0 approved); Supply network and economic contagion (0 open, 0 in preparation, 0 approved). 02 Department of Nexus-Based Risk Management: Nexus-Based Risk Management (NRM) (1 open, 10 in preparation, 0 approved); Water-energy-food-ecosystems nexus (0 open, 0 in preparation, 0 approved); Polycrisis and global risk assessment (0 open, 0 in preparation, 0 approved).\" focusable=\"false\" data-nx-z=\"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\"><title>Faculty of Systems and Nexus Studies: 2 departments and 8 disciplines, drawn as coupled loops. 3 disciplines with open courses; primary courses 3 open, 12 in preparation and 4 approved for authoring. 01 Department of Systemic Risk and Complexity: Systemic, compound and cascading risk (1 open, 1 in preparation, 0 approved); Complex systems and systems modelling (1 open, 0 in preparation, 4 approved); Global catastrophic risks (0 open, 1 in preparation, 0 approved); Tipping points and resilience of Earth and social systems (0 open, 0 in preparation, 0 approved); Supply network and economic contagion (0 open, 0 in preparation, 0 approved). 02 Department of Nexus-Based Risk Management: Nexus-Based Risk Management (NRM) (1 open, 10 in preparation, 0 approved); Water-energy-food-ecosystems nexus (0 open, 0 in preparation, 0 approved); Polycrisis and global risk assessment (0 open, 0 in preparation, 0 approved).<\/title><\/svg><figcaption class=\"nx-ra-sig-cap\"><span><span class=\"nx-ra-sig-t\">Systems and Nexus Studies: departments, disciplines and courses.<\/span> Drawn as coupled loops.<\/span><ul class=\"nx-ra-key\"><li data-k=\"live\">Open, 3<\/li><li data-k=\"prep\">In preparation, 12<\/li><li data-k=\"appr\">Approved for authoring, 4<\/li><\/ul><span class=\"nx-ra-sig-src\">From the Academy atlas and the curriculum: primary courses only; numbers mark departments.<\/span><\/figcaption><\/figure><\/div><a class=\"nx-fh-go\" href=\"#nx-sec-maps\"><span class=\"nx-fh-go-k\">Twin builder and simulator<\/span><span class=\"nx-fh-go-t\">The Tonle Sap and the Lower Mekong at Phnom Penh<\/span><span class=\"nx-fh-go-m\">5 twin generators, 14 layers, 2 instruments<\/span><\/a><\/div><\/div><dl class=\"nx-ah-figs\" data-n=\"4\"><div><dt>disciplines in 2 departments<\/dt><dd>8<\/dd><\/div><div><dt>courses open now, 12 in preparation<\/dt><dd>3<\/dd><\/div><div><dt>dams<\/dt><dd>14<\/dd><\/div><div><dt>power plants, 88 MW<\/dt><dd>6<\/dd><\/div><\/dl><p class=\"nx-ah-fignote\">Twin figures for the Tonle Sap and the Lower Mekong at Phnom Penh, counted from its layers at their stated dates.<\/p><nav class=\"nx-fh-jump\" aria-label=\"On this page\"><a href=\"#nx-sec-maps\">Twin builder<\/a><a href=\"#nx-sec-departments\">Departments<\/a><a href=\"#nx-sec-disciplines\">Disciplines<\/a><a href=\"#nx-sec-frontiers\">Frontiers<\/a><a href=\"#nx-sec-hub\">Hub<\/a><a href=\"#nx-sec-programmes\">Where to start<\/a><a href=\"#nx-sec-courses\">Courses<\/a><a href=\"#nx-sec-standards\">Standards<\/a><\/nav><\/div><\/section><section id=\"nx-sec-maps\" class=\"nx-as\" data-as=\"maps\" aria-labelledby=\"nx-sec-maps-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-maps-h\" class=\"nx-as-title\">Twin builder and simulator.<\/h2><p class=\"nx-as-lede\">The faculty's twin of Tonle Sap on the planet map, the globe and in 3D. Pick a generator, switch layers, run the instruments; every layer prints its provider and date.<\/p><\/div><div class=\"nx-as-body\"><div class=\"nx-ra-map nx-tw\" data-ra-map=\"systems-nexus\" data-ra-map-od=\"J\/suhpDmyEM6vt\/FeKzBtfv97U9AlgeKOZNVS1zHFVo=\" data-ra-map-state=\"idle\" data-ra-map-mode=\"learn\" data-ra-view=\"map\" data-tw-pip=\"twin\"><div class=\"nx-tw-head nx-ra-map-bar\" role=\"toolbar\" aria-label=\"Twin builder controls\"><p class=\"nx-tw-path\"><span>systems-nexus<\/span><span>tonle-sap<\/span><strong>twin builder<\/strong><\/p><div class=\"nx-ra-tb-search\" data-tw-search=\"true\"><\/div><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"View\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-map\" aria-pressed=\"true\">Planet map<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-globe\" aria-pressed=\"false\">Globe<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"view-twin\" aria-pressed=\"false\">3D twin<\/button><\/span><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"Extent\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"anchor\" aria-pressed=\"true\" disabled>Tonle Sap<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"world\" aria-pressed=\"false\" disabled>World<\/button><\/span><span class=\"nx-ra-map-seg\" role=\"group\" aria-label=\"Mode\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"learn\" aria-pressed=\"true\" disabled>Learn<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"expert\" aria-pressed=\"false\" disabled>Expert<\/button><\/span><span class=\"nx-tw-more\"><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"share\" disabled>Share and cite<\/button><button type=\"button\" class=\"nx-ra-map-btn\" data-ra-map-act=\"tools\" disabled>Expert tools<\/button><\/span><\/div><div class=\"nx-tw-gens nx-ra-tb-gens\" role=\"group\" aria-label=\"Twin generators\"><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"wef\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Cascade<\/span><span class=\"nx-ra-tb-gt\">Coupled water-energy-food system<\/span><span class=\"nx-ra-tb-gp\">Dams, plants, land cover and rivers of the Tonle Sap system.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"flow\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Series<\/span><span class=\"nx-ra-tb-gt\">Discharge at a point<\/span><span class=\"nx-ra-tb-gp\">Click the Mekong or the Tonle Sap for the GloFAS forecast.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"land\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Index<\/span><span class=\"nx-ra-tb-gt\">Land cover<\/span><span class=\"nx-ra-tb-gp\">MODIS IGBP classes and the WorldCover shares of the twin.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"dens\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">Exposure<\/span><span class=\"nx-ra-tb-gt\">Energy assets<\/span><span class=\"nx-ra-tb-gp\">Density of dams and power plants.<\/span><\/button><button type=\"button\" class=\"nx-ra-tb-gen\" data-ra-gen=\"t3d\" aria-pressed=\"false\"><span class=\"nx-ra-tb-gk\">3D<\/span><span class=\"nx-ra-tb-gt\">Scientific cascade (twin)<\/span><span class=\"nx-ra-tb-gp\">The twin above runs the loop and cascade instruments.<\/span><\/button><\/div><div class=\"nx-tw-body\"><div class=\"nx-ra-map-views\"><div class=\"nx-ra-map-stage\"><div class=\"nx-ra-map-idle\"><button type=\"button\" class=\"nx-btn\" data-variant=\"secondary\" data-ra-map-act=\"load\">Load the map<\/button><\/div><\/div><div class=\"nx-ra-map-twin\"><div class=\"nx-ah\" data-ah=\"twin\"><div class=\"nx-ast\" data-ast=\"twin\" data-ast-state=\"flat\" data-ast-faculty=\"systems-nexus\" data-ast-mode=\"metres\" data-ast-od=\"+NQZIQbjO5oqzLgN4dGNm\/Y3JDWc8CTe4JSAbUMebq8=\" data-ast-data=\"SWyEmqLGlRsuuIMJvg26N2EUv8hfcI6h3XrIKg\/OkoQ=\" data-ast-exag=\"1.5\"><div class=\"nx-ast-stage\" tabindex=\"0\" role=\"region\" aria-label=\"Digital twin of The Tonle Sap and the Lower Mekong at Phnom Penh\" aria-describedby=\"nx-ast-twin-help\"><figure class=\"nx-ra-sig nx-ast-flat\" data-scope=\"twin\" id=\"nx-ast-fig\"><svg class=\"nx-ra-sig-svg nx-ast-svg\" viewBox=\"0 0 1200 1220\" role=\"img\" aria-label=\"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: live, loads in the twin; Vegetation index, MODIS Terra NDVI 8-day: live, loads in the twin; Surface water extent, OPERA DSWx (HLS): the flood pulse: live, loads in the twin; Land cover classes, MODIS IGBP (annual): live, loads in the twin. 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.\" focusable=\"false\" 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\"><title>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: live, loads in the twin; Vegetation index, MODIS Terra NDVI 8-day: live, loads in the twin; Surface water extent, OPERA DSWx (HLS): the flood pulse: live, loads in the twin; Land cover classes, MODIS IGBP (annual): live, loads in the twin. 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.<\/title><\/svg><figcaption class=\"nx-ra-sig-cap\"><span><span class=\"nx-ra-sig-t\">The Tonle Sap and the Lower Mekong at Phnom Penh, Cambodia.<\/span> 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 with WebGL once its data and library have been checked; discharge, vegetation, surface water and the annual land cover load in the twin on request, each with its data date.<\/span><ul class=\"nx-ra-key nx-ast-key\"><li data-k=\"terrain\">Terrain 0 to 1,700 m<\/li><li data-k=\"river\">River 2,956 km<\/li><li data-k=\"dam\">14 dams<\/li><li data-k=\"plant\">6 power plants, 88 MW<\/li><li data-k=\"class-tree-cover\">Tree cover 37.8 percent of the box<\/li><li data-k=\"class-cropland\">Cropland 39.9 percent of the box<\/li><li data-k=\"class-built-up\">Built-up 0.9 percent of the box<\/li><li data-k=\"class-permanent-water\">Permanent water 4.7 percent of the box<\/li><li data-k=\"live-discharge\">River discharge, GloFAS via Open-Meteo: live, loads in the twin<\/li><li data-k=\"live-ndvi\">Vegetation index, MODIS Terra NDVI 8-day: live, loads in the twin<\/li><li data-k=\"live-surface-water\">Surface water extent, OPERA DSWx (HLS): the flood pulse: live, loads in the twin<\/li><li data-k=\"live-landcover-modis\">Land cover classes, MODIS IGBP (annual): live, loads in the twin<\/li><\/ul><span class=\"nx-ra-sig-src\">Credits and dates per layer are listed under the stage. Relief in the twin is exaggerated \u00d71.5 for legibility.<\/span><\/figcaption><\/figure><p class=\"nx-ast-help\" id=\"nx-ast-twin-help\">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.<\/p><\/div><div class=\"nx-ast-bar nx-ah-hud\" role=\"toolbar\" aria-label=\"Twin controls\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"open\" data-variant=\"primary\">Open the 3D twin<\/button><span class=\"nx-ah-status\" data-live=\"true\"><span class=\"nx-ah-dot\" aria-hidden=\"true\"><\/span>4 live layers, checked 17 Oct 2026<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"reset\" disabled>Reset view<\/button><span class=\"nx-ast-group\" aria-label=\"View\" data-ast-views=\"true\" data-ast-default=\"c-holograph\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"a-instrument\" aria-pressed=\"false\" disabled>Drawing<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"b-daylight\" aria-pressed=\"false\" disabled>Photo<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"style\" data-ast-style=\"c-holograph\" aria-pressed=\"true\" disabled>Holograph<\/button><\/span><details class=\"nx-ah-menu\" data-k=\"places\"><summary><span>Places<\/span><span class=\"nx-ah-n\">5<\/span><\/summary><div class=\"nx-ah-pop\"><span class=\"nx-ast-group\" aria-label=\"Views\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"lake\" disabled>Tonle Sap lake<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"phnom-penh\" disabled>Phnom Penh confluence<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"kratie\" disabled>The Mekong at Kratie<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"plain\" disabled>The rice plain south of the lake<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"view\" data-ast-view=\"whole\" disabled>The whole box<\/button><\/span><\/div><\/details><details class=\"nx-ah-menu\" data-k=\"layers\"><summary><span>Layers<\/span><span class=\"nx-ah-n\">9<\/span><\/summary><div class=\"nx-ah-pop\"><span class=\"nx-ast-group\" aria-label=\"Layers\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"overlay\" aria-pressed=\"false\" hidden disabled>Analysis overlay<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"terrain\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"terrain\" aria-hidden=\"true\"><\/span><span>Terrain<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"rivers\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"lines\" aria-hidden=\"true\"><\/span><span>Named rivers<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"dams\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"points\" aria-hidden=\"true\"><\/span><span>Dams<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"plants\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"points\" aria-hidden=\"true\"><\/span><span>Power plants<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"landcover\" data-ast-delivery=\"inline\" aria-pressed=\"true\" disabled><span class=\"nx-ah-sw\" data-f=\"class\" aria-hidden=\"true\"><\/span><span>Cropland<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"discharge\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>River discharge<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"ndvi\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Vegetation index<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"surface-water\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Surface water extent<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"layer\" data-ast-layer=\"landcover-modis\" data-ast-delivery=\"browser-direct\" aria-pressed=\"false\" disabled><span class=\"nx-ah-sw\" data-f=\"live\" aria-hidden=\"true\"><\/span><span>Land cover classes<\/span><span class=\"nx-ah-tag\">Live<\/span><\/button><\/span><\/div><\/details><span class=\"nx-ast-group nx-ah-time\" aria-label=\"Time\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"earlier\" aria-label=\"Earlier date\" disabled><span aria-hidden=\"true\">&lsaquo;<\/span><span class=\"nx-ah-it\">Earlier<\/span><\/button><span class=\"nx-ast-date\" data-ast-out=\"date\" aria-live=\"polite\">Date: newest<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-act=\"later\" aria-label=\"Later date\" disabled><span class=\"nx-ah-it\">Later<\/span><span aria-hidden=\"true\">&rsaquo;<\/span><\/button><\/span><button type=\"button\" class=\"nx-ast-btn nx-ah-tomap\" data-ast-act=\"to-map\" aria-controls=\"nx-sec-maps\"><span class=\"nx-ah-pin\" aria-hidden=\"true\"><\/span>Open in the map<\/button><details class=\"nx-ast-cred nx-ah-info\"><summary aria-label=\"Credits and data dates, The Tonle Sap and the Lower Mekong at Phnom Penh\"><span class=\"nx-ah-i\" aria-hidden=\"true\">i<\/span><span class=\"nx-ah-it\">Credits<\/span><\/summary><div class=\"nx-ah-pop\"><ul class=\"nx-ast-credits\"><li data-ast-layer=\"terrain\"><strong>Terrain<\/strong> Surface height in whole metres on a grid of 150 by 150 cells of about 1.8 kilometres; the basin floor lies under 100 metres and the ranges at the edges reach 1,700 metres. <span class=\"nx-ast-cr\">Copernicus DEM GLO-30 (c) DLR e.V. 2010-2014 and (c) Airbus Defence and Space GmbH 2014-2018 provided under COPERNICUS by the European Union and ESA. read 2026-10-17.<\/span> <span class=\"nx-ast-est\">Estimate: A digital surface model: trees and roofs are in the heights. Relief exaggeration is printed on the stage.<\/span><\/li><li data-ast-layer=\"rivers\"><strong>Named rivers<\/strong> The Mekong, the Tonle Sap river and the named tributaries as centrelines, with their length in kilometres. <span class=\"nx-ast-cr\">(c) OpenStreetMap contributors. Available under the Open Database License (ODbL).. OpenStreetMap as of 2026-07-15.<\/span> <span class=\"nx-ast-est\">Estimate: Centrelines as mapped, clipped to the box and simplified to 200 metres; no discharge or width is implied by the line.<\/span><\/li><li data-ast-layer=\"dams\"><strong>Dams<\/strong> Dams as mapped, each as one point with its name and operator where tagged. <span class=\"nx-ast-cr\">(c) OpenStreetMap contributors (ODbL). OpenStreetMap as of 2026-07-15.<\/span> <span class=\"nx-ast-est\">Estimate: Mapped dams only; a missing dam means it is not mapped, not that it does not exist.<\/span><\/li><li data-ast-layer=\"plants\"><strong>Power plants<\/strong> The hydropower, oil, waste and biomass plants inside the box with their capacity in MW and primary fuel, the energy node of the loop. <span class=\"nx-ast-cr\">Power plants: Global Power Plant Database v1.3.0 (2021), World Resources Institute and partners, CC BY 4.0. release 1.3.0, 2021-06-02.<\/span> <span class=\"nx-ast-est\">Estimate: A 2021 snapshot, never current operating status.<\/span><\/li><li data-ast-layer=\"landcover\"><strong>Cropland, tree cover, water and built-up shares (ESA WorldCover 2021)<\/strong> The share of cropland, tree cover, permanent water and built-up land in each of 200 by 200 cells, summarised at build time from the 10 metre product; the food and ecosystem nodes of the loop. <span class=\"nx-ast-cr\">(c) ESA WorldCover project 2021 \/ Contains modified Copernicus Sentinel data 2021 processed by ESA WorldCover consortium (CC BY 4.0); dataset: Zanaga, D. et al. (2022), ESA WorldCover 10 m 2021 v200, doi:10.5281\/zenodo.7254221. read 2026-10-17.<\/span> <span class=\"nx-ast-est\">Estimate: A 2021 classification at 10 metres summarised to cells of about 1.4 kilometres from 16 sub-samples; not a crop yield, a harvest area or a wetland inventory.<\/span><\/li><li data-ast-layer=\"discharge\"><strong>River discharge, GloFAS via Open-Meteo<\/strong> Daily Mekong discharge at the Kratie cell with the member range for the next 30 days, and on click anywhere in the box; the water inflow of the loop. <span class=\"nx-ast-cr\">Weather data by Open-Meteo.com (CC BY 4.0); river discharge: contains modified Copernicus Emergency Management Service information 2026 (GloFAS); never a flood warning. Live: this page requests flood-api.open-meteo.com when the layer is opened; the data date is read from daily.time and printed with it.<\/span> <span class=\"nx-ast-est\">Estimate: Model output (forecast or reanalysis), shown with the member range where the API gives one; never a warning. The loop simulator adds one request to the same endpoint with start_date=1984-01-01 and end_date=today for the chosen cell to build the seasonal pulse.<\/span><\/li><li data-ast-layer=\"ndvi\"><strong>Vegetation index, MODIS Terra NDVI 8-day<\/strong> Vegetation greenness across the basin; the season scrub steps the 8-day periods through the flood pulse. <span class=\"nx-ast-cr\">MODIS Terra NDVI 8-day, NASA LP DAAC \/ LANCE, via NASA GIBS, with the product date. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is read from layer-time-actual and printed with it.<\/span> <span class=\"nx-ast-est\">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).<\/span> <span class=\"nx-ast-est\">Estimate: An indicator of vegetation condition, never yield or production.<\/span><\/li><li data-ast-layer=\"surface-water\"><strong>Surface water extent, OPERA DSWx (HLS): the flood pulse<\/strong> Open and partial surface water on the date shown: the lake's seasonal expansion and contraction. <span class=\"nx-ast-cr\">OPERA Dynamic Surface Water Extent from HLS, NASA JPL OPERA (contains modified Copernicus Sentinel data; USGS Landsat), via NASA GIBS, with the product date. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is read from layer-time-actual and printed with it.<\/span> <span class=\"nx-ast-est\">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).<\/span> <span class=\"nx-ast-est\">Estimate: A classification from optical imagery; clouds leave gaps in the wet season; never a flood warning.<\/span><\/li><li data-ast-layer=\"landcover-modis\"><strong>Land cover classes, MODIS IGBP (annual)<\/strong> The 500 metre annual land cover classes (croplands, wetlands, forests) for the newest year GIBS serves, draped on the terrain beside the WorldCover shares. <span class=\"nx-ast-cr\">MODIS land cover (MCD12Q1, IGBP classes), NASA LP DAAC, via NASA GIBS, with the product year. Live: this page requests gibs.earthdata.nasa.gov when the layer is opened; the data date is read from layer-time-actual and printed with it.<\/span> <span class=\"nx-ast-est\">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).<\/span> <span class=\"nx-ast-est\">Estimate: A classification, not a crop area statistic.<\/span><\/li><\/ul><p class=\"nx-ast-why\">Why this place: One box of about 270 by 275 kilometres holds the Tonle Sap lake, whose flow reverses with the Mekong flood pulse each year, the Mekong main stem from Kratie to Phnom Penh, the rice plains that the pulse irrigates, the fisheries that feed the country, and the hydropower and thermal plants of the Global Power Plant Database, so the water-energy-food-ecosystems nexus can be taught where the couplings are strong and well documented. Data quality: Copernicus DEM GLO-30 covers the flat basin in nine tiles, the GloFAS cell at Kratie answered 15,416 cubic metres per second through Open-Meteo on 2026-10-17, ESA WorldCover gives cropland, tree cover and permanent water shares per cell and MODIS the annual land cover classes, and OpenStreetMap maps the dams and the named rivers. It connects to the wefe-nexus, nrm-paradigm, systemic-cascading-risk and complex-systems-modelling disciplines and to the water, energy and food nexus field maps of the ecosystem sites, which draw on the same rows.<\/p><\/div><\/details><\/div><div class=\"nx-ast-read\" data-ast-out=\"read\" aria-live=\"polite\" hidden><\/div><p class=\"nx-ast-note\" aria-live=\"polite\">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 with WebGL once its data and library have been checked; discharge, vegetation, surface water and the annual land cover load in the twin on request, each with its data date.<\/p><\/div><\/div><\/div><button type=\"button\" class=\"nx-tw-swap\" data-ra-map-act=\"swap\" aria-label=\"Swap the main view and the inset\"><span class=\"nx-tw-swap-k\" data-tw-swap=\"true\">3D twin<\/span><span class=\"nx-tw-swap-v\">Swap<\/span><\/button><div class=\"nx-ra-tb-insp nx-tw-insp\" aria-live=\"polite\"><\/div><\/div><aside class=\"nx-tw-dock\" data-nx-tabs=\"dock\" aria-label=\"Simulator: instruments, layers and sources\"><div class=\"nx-tw-tabs\" role=\"tablist\" aria-label=\"Simulator panels\"><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-inst\" aria-controls=\"nx-tw-p-inst\" aria-selected=\"true\" tabindex=\"0\" data-key=\"inst\">Instruments<span>2<\/span><\/button><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-layers\" aria-controls=\"nx-tw-p-layers\" aria-selected=\"false\" tabindex=\"-1\" data-key=\"layers\">Layers<span>14<\/span><\/button><button type=\"button\" class=\"nx-tw-tab\" role=\"tab\" id=\"nx-tw-t-src\" aria-controls=\"nx-tw-p-src\" aria-selected=\"false\" tabindex=\"-1\" data-key=\"src\">Sources<\/button><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-inst\" aria-labelledby=\"nx-tw-t-inst\"><div class=\"nx-ast-inst\" data-ast-insts=\"systems-nexus\"><div class=\"nx-ast-card\" data-ast-inst=\"loop-simulator\" data-state=\"estimate\"><h3 class=\"nx-h4\">System-dynamics loop simulator<\/h3><p class=\"nx-p\">A stock-and-flow loop of the basin's four systems: river inflow fills a reservoir you size, its release turns a turbine, feeds irrigation on the cropland share WorldCover measured, and reaches the lake, whose flooded area drives a fish-catch index; six parameters on screen, twelve monthly steps, the stocks plotted and the summary in the table.<\/p><div class=\"nx-ast-inst-sec\" data-ast-tool=\"loop-simulator\" data-ast-cropland=\"29997\" data-ast-water=\"3533\" data-ast-people=\"9725580\" data-ast-hydro=\"12\" data-ast-mw=\"88\" data-ast-lat=\"12.525\" data-ast-lon=\"105.925\" data-ast-probe=\"15416\"><p class=\"nx-ast-note\">Move a parameter and the loop recomputes in your browser. The inflow is the plan's probe value at the Kratie cell (15,416 m3\/s on 2026-10-17) held flat; in the twin, press Build the seasonal pulse for one archive request (daily GloFAS discharge since 1984) and the twelve monthly means replace it. Fixed teaching constants: turbine efficiency 0.85; the flooded area ranges from the permanent water to 3 times it.<\/p><div class=\"nx-ast-inst-row\"><div class=\"nx-ast-slider\" data-ast-slider=\"storage\" data-min=\"0.5\" data-max=\"20\" data-step=\"0.5\" data-unit=\"km3\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-storage\">Reservoir storage<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Reservoir storage: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-storage\" aria-valuemin=\"0.5\" aria-valuemax=\"20\" aria-valuenow=\"5\" aria-valuetext=\"5 km3\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"storage\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-storage\">5 km3<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Reservoir storage: more\">+<\/button><\/div><div class=\"nx-ast-slider\" data-ast-slider=\"release\" data-min=\"5\" data-max=\"100\" data-step=\"5\" data-unit=\"percent of the stock\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-release\">Release per month<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Release per month: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-release\" aria-valuemin=\"5\" aria-valuemax=\"100\" aria-valuenow=\"40\" aria-valuetext=\"40 percent of the stock\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"release\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-release\">40 percent of the stock<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Release per month: more\">+<\/button><\/div><div class=\"nx-ast-slider\" data-ast-slider=\"head\" data-min=\"10\" data-max=\"200\" data-step=\"10\" data-unit=\"m\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-head\">Hydraulic head<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Hydraulic head: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-head\" aria-valuemin=\"10\" aria-valuemax=\"200\" aria-valuenow=\"50\" aria-valuetext=\"50 m\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"head\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-head\">50 m<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Hydraulic head: more\">+<\/button><\/div><div class=\"nx-ast-slider\" data-ast-slider=\"irrigated\" data-min=\"0\" data-max=\"100\" data-step=\"5\" data-unit=\"percent\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-irrigated\">Irrigated share of the cropland<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Irrigated share of the cropland: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-irrigated\" aria-valuemin=\"0\" aria-valuemax=\"100\" aria-valuenow=\"20\" aria-valuetext=\"20 percent\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"irrigated\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-irrigated\">20 percent<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Irrigated share of the cropland: more\">+<\/button><\/div><div class=\"nx-ast-slider\" data-ast-slider=\"demand\" data-min=\"0\" data-max=\"600\" data-step=\"20\" data-unit=\"mm per month\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-demand\">Irrigation demand<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Irrigation demand: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-demand\" aria-valuemin=\"0\" aria-valuemax=\"600\" aria-valuenow=\"120\" aria-valuetext=\"120 mm per month\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"demand\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-demand\">120 mm per month<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Irrigation demand: more\">+<\/button><\/div><div class=\"nx-ast-slider\" data-ast-slider=\"floodscale\" data-min=\"2000\" data-max=\"40000\" data-step=\"1000\" data-unit=\"m3\/s\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-floodscale\">Flow at two thirds of the flood range<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Flow at two thirds of the flood range: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-floodscale\" aria-valuemin=\"2000\" aria-valuemax=\"40000\" aria-valuenow=\"12000\" aria-valuetext=\"12000 m3\/s\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"floodscale\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-floodscale\">12000 m3\/s<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Flow at two thirds of the flood range: more\">+<\/button><\/div><div class=\"nx-ast-slider\" data-ast-slider=\"catchexp\" data-min=\"0.5\" data-max=\"2\" data-step=\"0.1\" data-unit=\"power\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-catchexp\">Catch exponent<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Catch exponent: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-catchexp\" aria-valuemin=\"0.5\" aria-valuemax=\"2\" aria-valuenow=\"1\" aria-valuetext=\"1 power\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"catchexp\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-catchexp\">1 power<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Catch exponent: more\">+<\/button><\/div><\/div><div class=\"nx-ast-cuts\" role=\"group\" aria-label=\"Seasonal pulse\" data-ast-choice=\"pulse\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-choice-v=\"build\" aria-pressed=\"false\">Build the seasonal pulse<\/button><\/div><p class=\"nx-ast-out\" aria-live=\"polite\" data-ast-result=\"loop-simulator\"><strong data-ast-out=\"title\">Flat inflow<\/strong> <span data-ast-out=\"sum\">25,200 GWh over the year, flooded area 8,435 to 8,600 km2, 0 months of irrigation shortfall (teaching model).<\/span><\/p><div data-ast-out=\"loop-chart\"><svg class=\"nx-ast-chart\" viewBox=\"0 0 760 220\" role=\"img\" aria-labelledby=\"nx-ast-loop-t\" data-nx-z=\"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\"><title id=\"nx-ast-loop-t\">Twelve monthly steps of the loop, each series scaled to its own maximum: storage km3 up to 5; energy GWh per month up to 2,109.7; flooded area km2 up to 8,599.5; catch index up to 2.4.<\/title><\/svg><\/div><div class=\"nx-table-wrap\"><table class=\"nx-table nx-ast-table\" data-stack=\"true\" aria-label=\"Loop readings\"><thead><tr><th scope=\"col\">Reading<\/th><th scope=\"col\">Value<\/th><\/thead><tbody data-ast-out=\"loop-rows\"><tr><td data-label=\"\">Inflow<\/td><td data-label=\"\">flat 15,416 m3\/s, the plan's probe value (GloFAS model output, never a warning)<\/td><\/tr><tr><td data-label=\"Reading\">Energy over the year<\/td><td data-label=\"Value\">25,200 GWh (mean turbine power 2,875 MW; the box's plants total 88 MW, 12 MW of it hydropower, 2021 snapshot)<\/td><\/tr><tr><td data-label=\"Reading\">Irrigation<\/td><td data-label=\"Value\">100 percent of demand met on average; 0 months of shortfall<\/td><\/tr><tr><td data-label=\"Reading\">Flooded area<\/td><td data-label=\"Value\">8,435 to 8,600 km2 (permanent water 3,533 km2 from WorldCover 2021)<\/td><\/tr><tr><td data-label=\"Reading\">Catch index<\/td><td data-label=\"Value\">2.43 on average (1 = the permanent water alone; a shape, never a catch)<\/td><\/tr><tr><td data-label=\"Reading\">Water per person downstream<\/td><td data-label=\"Value\">4,073 m3 per person per month over 9,725,580 people (WorldPop 2020, Cambodian part of the box)<\/td><\/tr><tr><td data-label=\"Reading\">Reservoir at year end<\/td><td data-label=\"Value\">5 km3 of the 5 km3 you set<\/td><\/tr><\/tbody><\/table><\/div><\/div><p class=\"nx-ast-model\">A teaching model of coupled stocks after Forrester and Sterman, with the hydropower equation P = rho g Q H eta; not a model of any operator's reservoir, of the Mekong River Commission's or of the lake's measured hydrology. Every parameter is a learner input shown on screen; the inflow is GloFAS model output, or the plan's probe value until the archive is built. <span class=\"nx-ast-est\">A teaching model of coupled stocks on learner parameters, not any operator's reservoir. GloFAS is a model, never a flood warning; the catch index is a shape, never a catch. Method: Forrester, J. W. (1961), Industrial Dynamics, MIT Press; Sterman, J. D. (2000), Business Dynamics: Systems Thinking and Modeling for a Complex World, McGraw-Hill; the hydropower equation after Gulliver, J. S. and Arndt, R. E. A. (1991), Hydropower Engineering Handbook, McGraw-Hill.<\/span><\/p><\/div><div class=\"nx-ast-card\" data-ast-inst=\"cascade\" data-state=\"estimate\"><h3 class=\"nx-h4\">Cascade propagation across water, energy, food and ecosystems<\/h3><p class=\"nx-p\">Perturb one system (a drought year, a release rule change, a crop failure) and trace the response of the other three step by step through a coupling matrix: its default entries are the loop simulator's own sensitivities, computed at build by finite differences, and you can scale or edit the couplings; the spectral radius says whether the cascade damps or amplifies.<\/p><div class=\"nx-ast-inst-sec\" data-ast-tool=\"cascade\" data-ast-s='{&quot;energyFromWater&quot;:0.89,&quot;foodFromWater&quot;:0,&quot;ecoFromWater&quot;:0.32,&quot;waterFromFood&quot;:-0.02}'><p class=\"nx-ast-note\">The matrix reads A[affected][cause]: the water column holds the loop simulator's own sensitivities at its default parameters, computed at build by a 10 percent change (energy 0.89, food 0, ecosystems 0.32; food to water -0.02); the three declared couplings and the strength are yours to set. Choose a perturbation and read the state of each system over eight steps; the spectral radius says whether the cascade damps or amplifies.<\/p><div class=\"nx-ast-cuts\" role=\"group\" aria-label=\"Perturbation\" data-ast-choice=\"perturbation\"><button type=\"button\" class=\"nx-ast-btn\" data-ast-choice-v=\"drought\" aria-pressed=\"true\">Drought year (water down 30 percent)<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-choice-v=\"release\" aria-pressed=\"false\">Release rule change (energy down 20 percent)<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-choice-v=\"crop\" aria-pressed=\"false\">Crop failure (food down 20 percent)<\/button><button type=\"button\" class=\"nx-ast-btn\" data-ast-choice-v=\"eco\" aria-pressed=\"false\">Ecosystem loss (ecosystems down 20 percent)<\/button><\/div><div class=\"nx-ast-inst-row\"><div class=\"nx-ast-slider\" data-ast-slider=\"c-energy-food\" data-min=\"-1\" data-max=\"1\" data-step=\"0.05\" data-unit=\"elasticity\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-c-energy-food\">Energy to food<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Energy to food: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-c-energy-food\" aria-valuemin=\"-1\" aria-valuemax=\"1\" aria-valuenow=\"0.2\" aria-valuetext=\"0.2 elasticity\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"c-energy-food\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-c-energy-food\">0.2 elasticity<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Energy to food: more\">+<\/button><\/div><div class=\"nx-ast-slider\" data-ast-slider=\"c-food-eco\" data-min=\"-1\" data-max=\"1\" data-step=\"0.05\" data-unit=\"elasticity\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-c-food-eco\">Food to ecosystems<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Food to ecosystems: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-c-food-eco\" aria-valuemin=\"-1\" aria-valuemax=\"1\" aria-valuenow=\"-0.15\" aria-valuetext=\"-0.15 elasticity\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"c-food-eco\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-c-food-eco\">-0.15 elasticity<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Food to ecosystems: more\">+<\/button><\/div><div class=\"nx-ast-slider\" data-ast-slider=\"c-eco-water\" data-min=\"-1\" data-max=\"1\" data-step=\"0.05\" data-unit=\"elasticity\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-c-eco-water\">Ecosystems to water<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Ecosystems to water: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-c-eco-water\" aria-valuemin=\"-1\" aria-valuemax=\"1\" aria-valuenow=\"0.1\" aria-valuetext=\"0.1 elasticity\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"c-eco-water\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-c-eco-water\">0.1 elasticity<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Ecosystems to water: more\">+<\/button><\/div><div class=\"nx-ast-slider\" data-ast-slider=\"strength\" data-min=\"0\" data-max=\"3\" data-step=\"0.1\" data-unit=\"times\"><span class=\"nx-ast-slider-l\" id=\"nx-ast-sl-strength\">Coupling strength<\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"-1\" aria-label=\"Coupling strength: less\">-<\/button><span class=\"nx-ast-slider-t\" role=\"slider\" tabindex=\"0\" aria-labelledby=\"nx-ast-sl-strength\" aria-valuemin=\"0\" aria-valuemax=\"3\" aria-valuenow=\"1\" aria-valuetext=\"1 times\"><span class=\"nx-ast-slider-f\" data-ast-fill=\"strength\"><\/span><span class=\"nx-ast-slider-v\" data-ast-out=\"slider-strength\">1 times<\/span><\/span><button type=\"button\" class=\"nx-ast-btn\" data-ast-step=\"1\" aria-label=\"Coupling strength: more\">+<\/button><\/div><\/div><p class=\"nx-ast-out\" aria-live=\"polite\" data-ast-result=\"cascade\"><strong data-ast-out=\"title\">Drought year<\/strong> <span data-ast-out=\"sum\">after 8 steps: water -31 percent, energy -27 percent, food -5 percent, ecosystems -9 percent; spectral radius 0.21 (damped; an estimate by power iteration; a teaching model, not a prediction).<\/span><\/p><div class=\"nx-ast-inst-row\"><div class=\"nx-table-wrap\"><table class=\"nx-table nx-ast-table\" data-stack=\"true\" aria-label=\"Coupling matrix\"><thead><tr><th scope=\"col\">Affected by cause<\/th><th scope=\"col\">water<\/th><th scope=\"col\">energy<\/th><th scope=\"col\">food<\/th><th scope=\"col\">ecosystems<\/th><\/thead><tbody data-ast-out=\"matrix\"><tr><td data-label=\"\">water<\/td><td data-label=\"\"><span data-a=\"0-0\">0<\/span><\/td><td data-label=\"\"><span data-a=\"0-1\">0<\/span><\/td><td data-label=\"\"><span data-a=\"0-2\">-0.02<\/span><\/td><td data-label=\"\"><span data-a=\"0-3\">0.1<\/span><\/td><\/tr><tr><td data-label=\"Affected by cause\">energy<\/td><td data-label=\"water\"><span data-a=\"1-0\">0.89<\/span><\/td><td data-label=\"energy\"><span data-a=\"1-1\">0<\/span><\/td><td data-label=\"food\"><span data-a=\"1-2\">0<\/span><\/td><td data-label=\"ecosystems\"><span data-a=\"1-3\">0<\/span><\/td><\/tr><tr><td data-label=\"Affected by cause\">food<\/td><td data-label=\"water\"><span data-a=\"2-0\">0<\/span><\/td><td data-label=\"energy\"><span data-a=\"2-1\">0.2<\/span><\/td><td data-label=\"food\"><span data-a=\"2-2\">0<\/span><\/td><td data-label=\"ecosystems\"><span data-a=\"2-3\">0<\/span><\/td><\/tr><tr><td data-label=\"Affected by cause\">ecosystems<\/td><td data-label=\"water\"><span data-a=\"3-0\">0.32<\/span><\/td><td data-label=\"energy\"><span data-a=\"3-1\">0<\/span><\/td><td data-label=\"food\"><span data-a=\"3-2\">-0.15<\/span><\/td><td data-label=\"ecosystems\"><span data-a=\"3-3\">0<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-table-wrap\"><table class=\"nx-table nx-ast-table\" data-stack=\"true\" aria-label=\"State per step\"><thead><tr><th scope=\"col\">Step<\/th><th scope=\"col\">water, percent change<\/th><th scope=\"col\">energy, percent change<\/th><th scope=\"col\">food, percent change<\/th><th scope=\"col\">ecosystems, percent change<\/th><\/thead><tbody data-ast-out=\"steps\"><tr><td data-label=\"\">step 1<\/td><td data-label=\"\">-30<\/td><td data-label=\"\">0<\/td><td data-label=\"\">0<\/td><td data-label=\"\">0<\/td><\/tr><tr><td data-label=\"Step\">step 2<\/td><td data-label=\"water, percent change\">-30<\/td><td data-label=\"energy, percent change\">-27<\/td><td data-label=\"food, percent change\">0<\/td><td data-label=\"ecosystems, percent change\">-10<\/td><\/tr><tr><td data-label=\"Step\">step 3<\/td><td data-label=\"water, percent change\">-31<\/td><td data-label=\"energy, percent change\">-27<\/td><td data-label=\"food, percent change\">-5<\/td><td data-label=\"ecosystems, percent change\">-10<\/td><\/tr><tr><td data-label=\"Step\">step 4<\/td><td data-label=\"water, percent change\">-31<\/td><td data-label=\"energy, percent change\">-28<\/td><td data-label=\"food, percent change\">-5<\/td><td data-label=\"ecosystems, percent change\">-9<\/td><\/tr><tr><td data-label=\"Step\">step 5<\/td><td data-label=\"water, percent change\">-31<\/td><td data-label=\"energy, percent change\">-27<\/td><td data-label=\"food, percent change\">-6<\/td><td data-label=\"ecosystems, percent change\">-9<\/td><\/tr><tr><td data-label=\"Step\">step 6<\/td><td data-label=\"water, percent change\">-31<\/td><td data-label=\"energy, percent change\">-27<\/td><td data-label=\"food, percent change\">-5<\/td><td data-label=\"ecosystems, percent change\">-9<\/td><\/tr><tr><td data-label=\"Step\">step 7<\/td><td data-label=\"water, percent change\">-31<\/td><td data-label=\"energy, percent change\">-27<\/td><td data-label=\"food, percent change\">-5<\/td><td data-label=\"ecosystems, percent change\">-9<\/td><\/tr><tr><td data-label=\"Step\">step 8<\/td><td data-label=\"water, percent change\">-31<\/td><td data-label=\"energy, percent change\">-27<\/td><td data-label=\"food, percent change\">-5<\/td><td data-label=\"ecosystems, percent change\">-9<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><p class=\"nx-ast-model\">A linear teaching model on a learner-edited matrix, x(t+1) = A x(t) + u, after the interdependency typology of Rinaldi, Peerenboom and Kelly and the input-output form of Leontief; the couplings are sensitivities of a teaching loop, not measured couplings of the basin, and nothing here is a prediction. <span class=\"nx-ast-est\">A linear teaching model on a learner-edited matrix; the couplings are not measured. Not a prediction for the basin. Method: Rinaldi, S. M., Peerenboom, J. P. and Kelly, T. K. (2001), Identifying, understanding, and analyzing critical infrastructure interdependencies, IEEE Control Systems Magazine 21(6), 11-25; Leontief, W. (1986), Input-Output Economics, 2nd edition, Oxford University Press.<\/span><\/p><\/div><\/div><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-layers\" aria-labelledby=\"nx-tw-t-layers\" hidden><div class=\"nx-tw-layers\" data-tw-layers=\"true\"><p class=\"nx-tw-empty\">14 layers switch here once the map runs.<\/p><\/div><\/div><div class=\"nx-tw-pane\" role=\"tabpanel\" id=\"nx-tw-p-src\" aria-labelledby=\"nx-tw-t-src\" hidden><p class=\"nx-tw-empty\">10 live and observed layers and 4 from the twin. Data: Natural Earth, Open-Meteo.com, MODIS land cover, MODIS Terra NDVI, NASA JPL OPERA DSWx-HLS, NASA JPL OPERA DSWx-S1, CIESIN, NASA GPM IMERG Early, NASA SMAP. Each layer's provider, licence and date are listed here once the map runs.<\/p><div class=\"nx-tw-cred\" data-tw-cred=\"true\"><\/div><\/div><\/aside><\/div><p class=\"nx-ra-map-note\" role=\"status\">The map loads from this site as it nears the view (MapLibre 6.9.1, checked by hash).<\/p><\/div><\/div><\/div><\/section><section id=\"nx-sec-brief-answer\" class=\"nx-as\" data-as=\"intro\" aria-labelledby=\"nx-sec-brief-answer-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-brief-answer-h\" class=\"nx-as-title\">What the faculty teaches.<\/h2><\/div><div class=\"nx-as-body\"><div class=\"nx-as-intro\"><p class=\"nx-as-stand\">On the Tonle Sap and the Lower Mekong the stage carries a system-dynamics loop after Forrester and Sterman with the hydropower equation and a cascade after Rinaldi, Peerenboom and Kelly whose spectral radius says whether a shock damps or grows, on Copernicus terrain, OpenStreetMap rivers and dams, ESA WorldCover and GloFAS discharge, under ISO 31000:2018 and the Sendai Framework. A graduate can scope a water-energy-food nexus system and propagate a perturbation through it with every parameter on screen.<\/p><div class=\"nx-as-side\"><p class=\"nx-as-brief\">Faculty of Systems and Nexus Studies groups 8 disciplines into 2 departments. 3 of the 15 courses whose primary discipline is here are open for enrolment and the rest are in preparation; all of them are taught on the Risk Academy main site, so your record stays in one place.<\/p><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-departments\" class=\"nx-as\" data-as=\"cards\" aria-labelledby=\"nx-sec-departments-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-departments-h\" class=\"nx-as-title\">2 departments, 8 disciplines.<\/h2><p class=\"nx-as-lede\">Numbered as on the faculty figure at the top of the page. Each card counts the department's disciplines and the courses whose primary discipline is there.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"rZRNb9swDIb\/CuHTBth10m2XwTWwdcNOCYa0wM6MxNhCZFEQlTX+94OcpHPW5mPYriRfSnz5SBVbUBZF7jK3LVYqqytr6gqPggVm0AZa3WVtjF4+lmUwshZUqKnrbxR3pfQSqZPC0XYjpSaPIXbkouwzRhVJU2Z1JR7dcXuf1V8mUzgjq8qkek0bs\/phXwoLI2tAp+GeO29pa2J\/Wii\/hTko7jxvnB7UCkWhNq6BdPYuaWkL+xmhY03Wpnyqbiwv0YLCiBID+9aoQSc3p892exvqall\/qMplrY0o461xJGNVyt+mPHtyryaMAx+SbRgNvyh5n0rQ+8A\/SR+SJ2+1vdqR+z8cSTUv3Mnh2ylrcng03qd+no2LuwaBxFhDThHwCr5iiO2uMSuD9tA\/h4eN97YHR\/GJw27fpNhxIkCxi9iMnCixrspE9H+meogMbBYdOmwohc\/QfQtXyM9SPh8kn1FI70CfPQvPQv7YEswXM0iMaNN0OZgoIIo9gUWtKQwWdhRb1qB6ZSkfIrEleMJIoSBHoemLFbMuSPFh08MQV1L+7gLl01OUTyeXMZ\/8LeZnvIQ388XsbQ4\/Lk6ew3e2vQpGjIx\/gjD8QiIkMl7OM4kl27ry4ztJOiBmx4Ba49b\/AGhWf7IWRpH0qNJKV6g2Nn2M6T6+\/gU=\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-disciplines\" class=\"nx-as\" data-as=\"tiles\" aria-labelledby=\"nx-sec-disciplines-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-disciplines-h\" class=\"nx-as-title\">Disciplines by status.<\/h2><p class=\"nx-as-lede\">Each discipline once, in its department. A mark is one primary course, filled when it is open.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-frontiers\" class=\"nx-as\" data-as=\"frontiers\" aria-labelledby=\"nx-sec-frontiers-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-frontiers-h\" class=\"nx-as-title\">Where the field is moving.<\/h2><p class=\"nx-as-lede\">Emerging areas, the technologies changing practice and the bodies that set the field's methods, from the faculty's expert review. Named for orientation; none of them endorses the Academy.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-frontier\" class=\"nx-as\" data-as=\"timeline\" aria-labelledby=\"nx-sec-frontier-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-frontier-h\" class=\"nx-as-title\">What is changing now.<\/h2><p class=\"nx-as-lede\">The newest developments cited on the faculty's discipline pages, sources checked on 16 October 2026. Each links to its discipline and its source.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-hub\" class=\"nx-as\" data-as=\"hub\" aria-labelledby=\"nx-sec-hub-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-hub-h\" class=\"nx-as-title\">The faculty hub.<\/h2><p class=\"nx-as-lede\">News and research as they are published, per discipline, with the faculty's other tools.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-ra-feeds\" data-ra-feeds=\"systems-nexus\" data-ra-feeds-od=\"xP0gAoHq0YAjPaEcahaMb6bZNrwoOzfk9sjm\/PIVCDw=\"><p class=\"nx-tw-empty\">The newest research, preprints, news and humanitarian reports for 8 disciplines, each with its source and date, load here. <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/systems-nexus\/research-hub\/\">Open the research and news hub<\/a><\/p><p class=\"nx-fs-foot\">Systemic, compound and cascading risk, Complex systems and systems modelling, Global catastrophic risks, Tipping points and resilience of Earth and social systems, Supply network and economic contagion, Nexus-Based Risk Management (NRM), Water-energy-food-ecosystems nexus, Polycrisis and global risk assessment<\/p><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-programmes\" class=\"nx-as\" data-as=\"route\" aria-labelledby=\"nx-sec-programmes-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-programmes-h\" class=\"nx-as-title\">Where to start, and where it leads.<\/h2><p class=\"nx-as-lede\">The faculty's entry course, then its flagship pathways and the Academy flagship in Nexus-Based Risk Management.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-courses\" class=\"nx-as\" data-as=\"courses\" aria-labelledby=\"nx-sec-courses-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-courses-h\" class=\"nx-as-title\">3 open, 12 in preparation.<\/h2><p class=\"nx-as-lede\">Courses with their primary discipline in this faculty. Open courses link to the catalogue; the others are listed so you can plan.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-standards\" class=\"nx-as\" data-as=\"cards\" aria-labelledby=\"nx-sec-standards-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-standards-h\" class=\"nx-as-title\">The standards it teaches toward.<\/h2><p class=\"nx-as-lede\">The Nexus Standards subsites whose standards the faculty's disciplines teach, by the Academy's proposed mapping.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-practice\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-practice-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-practice-h\" class=\"nx-as-title\">Where these subjects are practised.<\/h2><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"1ZXPbtswDMZfhfBpA+YKuw2ZKyDIocuhl3YvwEhMrEWWBFHumj39INnOn3VNUQxI15shmuT382dSTW9BWWS+rtxjHbFWJlElG2tkwwHd02DtK\/m9JbixfoUWFuRSJFj7CHeGt4BOw9I5\/4DJeAcfbhZ3y4+NyLWGirLBo6LWuG0FbaT1ddWmFHgmRGopGt5ebUoHsTZkNYt8JCpZmnTocEMduVT68Y4TdUZBfqcRKKd+ImOcR\/knafm5PogRlbyfpBSdt\/tQUfWMClfJz5B8MAoCbojBO0itYeB+9YNU2tO8DVRRxgKZ+4hOUY1O18rHSCpbfAZ6BvMpqfh0SLqkScqaDhPVLf7CqFlUcjGcFE3fhtN35M+fPKM\/ynfB906f55zBYnwP2iPyS0mPJhmFtjZuHZFT7FXqI2WpYwSWJ5H3ZMszbKM9xiWKmgI5TU7thiFCVqjP4M9geZo2jNGQdknjhg3Ldec1WWvcZj\/1DPfK0DTht1P8BeO+\/EfGPWWbNt6GXKpXyKTHndcFS48m7V6in8H8kDuuvikXSh9+W\/f2O6MPlnT9anvzGimp493L0J04fwwmeiub8BesdSUXJuUPxBAsKmL42VIkSC1N\/wIYhhBRJcOkv5aIcZxM6vM1wuCwywUiAfs+5hK5wqeittxG8zwq3Q5az4mBHijuQPk+Ml01Isjf\"><\/figure><\/div><\/div><\/section><section id=\"nx-sec-labs\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-labs-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-labs-h\" class=\"nx-as-title\">Where the faculty practises.<\/h2><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Lab<\/th><th scope=\"col\">What you do in it<\/th><th scope=\"col\">Courses using it<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Lab\">Network lab<\/td><td data-label=\"What you do in it\">Build dependency graphs, find critical nodes, trace cascades<\/td><td data-label=\"Courses using it\">3<\/td><\/tr><tr><td data-label=\"Lab\">Map lab<\/td><td data-label=\"What you do in it\">Read hazard, exposure and boundaries on real maps<\/td><td data-label=\"Courses using it\">1<\/td><\/tr><\/tbody><\/table><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-nexus\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-nexus-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-nexus-h\" class=\"nx-as-title\">Nexus programmes that span faculties.<\/h2><p class=\"nx-as-lede\">Each programme joins disciplines from more than one faculty and is hosted by an institute on the main site; it is listed on every faculty it spans.<\/p><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\"><ul class=\"nx-fc nx-fs\"><li><a class=\"nx-fc-a\" href=\"https:\/\/risksacademy.com\/nrm\/\"><span class=\"nx-fc-p\">Nexus-Based Risk Management<\/span><span class=\"nx-fc-t\">Systemic risk and infrastructure<\/span><span class=\"nx-fc-s\">Applies systemic risk methods to interdependent lifelines.<\/span><span class=\"nx-fc-x\">2 disciplines in 2 faculties<\/span><\/a><\/li><\/ul><\/figure><\/div><\/div><\/section><section id=\"nx-sec-institutes\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-institutes-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-institutes-h\" class=\"nx-as-title\">Institutes that convene the faculty.<\/h2><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\"><div class=\"nx-cards\" data-cols=\"3\"><a class=\"nx-card\" href=\"https:\/\/risksacademy.com\/nrm\/\"><span class=\"nx-eyebrow\">Institute<\/span><h3 class=\"nx-h4 nx-mt-2\">Institute for Nexus-Based Risk Management<\/h3><p class=\"nx-p nx-mt-1\">The institute is the cross-faculty home of Nexus-Based Risk Management, the Academy's paradigm.<\/p><\/a><\/div><\/figure><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-as\" data-as=\"plain\" aria-labelledby=\"nx-sec-terms-h\"><div class=\"nx-container\"><div class=\"nx-as-head\"><h2 id=\"nx-sec-terms-h\" class=\"nx-as-title\">Terms used on this page.<\/h2><\/div><div class=\"nx-as-body\"><figure class=\"nx-as-z\" data-nx-z=\"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\"><\/figure><\/div><\/div><\/section><section class=\"nx-as\" data-as=\"related\" aria-labelledby=\"nx-as-rel\"><div class=\"nx-container\"><h2 id=\"nx-as-rel\" class=\"nx-as-title nx-as-small\">Around Faculty of Systems and Nexus Studies.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/risksacademy.com\/systems-nexus\/departments\/\">Departments <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/systems-nexus\/departments\/systemic-risk\/\">Department of Systemic Risk and Complexity <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/systems-nexus\/departments\/nexus-risk-management\/\">Department of Nexus-Based Risk Management <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/faculties\/\">All faculties <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/risksacademy.com\/programme\/\">The programme <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-1\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Faculty of Systems and Nexus Studies<\/span><h2 id=\"nx-close-1\" class=\"nx-section-title\">Start in one department.<\/h2><p class=\"nx-lede\">Each department lists its disciplines, courses and pathways; each discipline its scope, labs, technology and key terms.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/risksacademy.com\/systems-nexus\/departments\/systemic-risk\/\">Open Department of Systemic Risk and Complexity <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/risksacademy.com\/courses\/\">Browse the course catalogue<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/risksacademy.com\/systems-nexus\/#terms\",\"name\":\"Key terms: Faculty of Systems and Nexus Studies\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/risksacademy.com\/systems-nexus\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Faculty of Systems and Nexus Studies\",\"description\":\"The faculty studies risk that arises from the interdependence of systems, from cascades and complexity to global catastrophic 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Nexortium programmeFaculty of Systems and Nexus Studies Interdependence, cascades, complexity and the water-energy-food-ecosystems nexus Faculty of Systems and Nexus Studies Risk that no single owner sees arises &hellip; <a href=\"https:\/\/risksacademy.com\/systems-nexus\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Systems and Nexus Studies&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":185,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","footnotes":""},"class_list":["post-60","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/risksacademy.com\/systems-nexus\/wp-json\/wp\/v2\/pages\/60","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/risksacademy.com\/systems-nexus\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/risksacademy.com\/systems-nexus\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/risksacademy.com\/systems-nexus\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/risksacademy.com\/systems-nexus\/wp-json\/wp\/v2\/comments?post=60"}],"version-history":[{"count":0,"href":"https:\/\/risksacademy.com\/systems-nexus\/wp-json\/wp\/v2\/pages\/60\/revisions"}],"wp:attachment":[{"href":"https:\/\/risksacademy.com\/systems-nexus\/wp-json\/wp\/v2\/media?parent=60"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}