Welcome to JUNE-NZ

JUNE-NZ is a collobrative Artificial Intelligence (AI)-enabled Agent-Based Modeling (ABM) framework for public health modeling. The model has evolved from the world-leading JUNE model, originally developed by Durham University (UK). This collaborative framework incorporates cutting-edge AI technologies to facilitate dynamic simulations and analyses of complex systems in the context of New Zealand.

This document gives an overview of JUNE-NZ, and the steps of runing the workflow.

Note

JUNE-NZ is an ongoing project from Inisitute of Environmental Science and Research (ESR), New Zealand

The codes of JUNE-NZ can be accessed from here

Contents

• Introduction
  • Background
    • The need for improved practice
    • The new technology - GradABM
    • The adaptation for New Zealand
  • Software structure overview
• Input
  • 1. Background
  • 2. target data
  • 3. agent and agent group data
    • 3.1 Base agent data
    • 3.2 sa2 - DHB (intermediate data)
    • 3.3 Agent group data
    • 3.4 Interaction data
  • 4. Configuration
• Model training
  • 1. Background