A data-driven modeling of public acceptance for fusion energy: analyzing public perceptions through future-centric empirical segmenting framework

As fusion energy approaches commercial viability, establishing strong public acceptance has become as critical as achieving technical success. This study develops a data-driven framework to analyze public perception of fusion technology, complementing traditional surveys toward a data-driven cluster