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InterVision

Overview

InterVision is an interactive visualization tool designed to support collaborative policymaking. It is based on ranking-algorithm simulations of complex systems.

DOI

If you use this code, please cite it using the DOI below: DOI

Project Roles and Contributions

  • Preliminary idea and prototype development: Arsineh Boodaghian Asl
  • Bachelor’s thesis development: Melisa Tang, Kevin Wang
  • Thesis supervision: Arsineh Boodaghian Asl

Thesis Reference

Tang, M., & Wang, K. (2025). Interactive Data Visualization for Collaborative Policy and Decision-Making: A Visual Exploration of Decision-Making in Policymaking. Bachelor’s thesis.

Ranking Algorithm Simulation (Related Publications)

Boodaghian Asl, A., Raghothama, J., Darwich, A., & Meijer, S. (2024). A hybrid modeling approach to simulate complex systems and classify behaviors. Network Modeling Analysis in Health Informatics and Bioinformatics, 13(1), 9.

Boodaghian Asl, A., Raghothama, J., Darwich, A., & Meijer, S. (2021). Simulation and model validation for mental health factors using a multi-methodology hybrid approach. In Proceedings of the 2021 Winter Simulation Conference (WSC) (pp. 1–12). IEEE.

Network and Data Reference

  • Title: A complex social network affecting children and young people's mental wellbeing
  • Developers: Jayanth Raghothama, Darwich S. Adam, Sebastiaan Meijer
  • Link: https://kumu.io/jayanthkth/mhsystems

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