Research Topic · Peer-Reviewed

Data-driven Modelling and Simulation

Data-driven modelling and simulation is a powerful tool used in predictive modelling and decision making. It combines data analysis and mathematical modelling to generate a simulation or model of a real-world system or process. Through this, we can explore scenarios, assess risk, compare alternatives and make decisi…

Curated from this journal's research 📚 2 peer-reviewed articles cited 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Data-driven modelling and simulation is a powerful tool used in predictive modelling and decision making. It combines data analysis and mathematical modelling to generate a simulation or model of a real-world system or process. Through this, we can explore scenarios, assess risk, compare alternatives and make decisions. It can help us to build better products, services, and systems, and make quicker, more informed decisions. Data-driven modelling and simulation can be used in many industries such as banking, healthcare, and energy, to help improve the efficiency, accuracy and cost effectiveness of processes.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.