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capability-assessment-tool

Select, prioritise and develop your organisation's capabilities.

Using the online editor, you can create and download your capability model locally.

Installation instructions,

Assuming you have node.js (v14 or later) running, and pnpm installed (otherwise, install it using npm i -g pnpm), you can go to the packages/gui folder and run:

pnpm i
npm start

This will open the browser and display the tool.

TODO

Functional enhancements

  • When setting a scenario during an active incident, perhaps use the morphological box to quickly set the items that are relevant (quicker).
  • Decision support enhancement (multi-party decision making): decision support measures that are selected could be enhanced by the relevant stakeholder setting the required capacity, and constraints. E.g., requires 80% of capacity (so you cannot select decisions that, potentially combined, require more than 100% of s/h capacity of a stakeholder, or at least get a warning so you could ask another party like MoD to help out), can only be done after x hours, is no longer an option after y hours, will take z hours to complete.
  • Join multiple scenarios, and add a switch to choose the right element, so you can create a multi-toolbox, combining multiple incident scenario types (prepared in the cold phase). E.g., switch between nuclear and flooding.
  • When translating an incident to a scenario description (using the box), suggest predefined and previously analyzed scenarios that are similar (so you can take over or at least be inspired by their decisions)?
  • Decision support: For each scenario, we could split the decisions per minority/group/locality, e.g., what decisions do we take for nursing homes, hospitals, agricultural areas, urban areas, city X, etc. And create a multi-view (what is best for group A, B or C, and what measures will we take for each group).
  • Add a map to show locations like Borsele on the map.
  • In case we use a map, show the effect area (circle with specified radius) on the map.
  • Integrate with LLM (ChatGPT, requires authentication token and URL in settings) to translate scenario elements to text.

Vague

  • Can we implement more features for multi-party decision making?
  • Causality analysis of incident: Add predictions about what can happen in the (near) feature. Could be cause-and-effect relations like Marvel, but also simple domino effects, potentially based on lessons learnt. E.g., during a flooding, the gas pipes may break, so contact Enexis to be aware.
  • Causality analysis of decisions: What is the expected effect, when will it occur, how do we measure its progress?

GUI functionality

  • When cloning a scenario multiple times, auto update the title by incrementing the counter
  • When a scenario is saved once, do not require the user the save it manually all the time.
  • In the morphological box, allow the user to select a specific scenario, instead of always showing all elements.