Mapping Physics Research with Machine Learning

This chapter explores the synergy between machine learning and physics research, emphasizing the use of Word2Vec and data analysis to map research dynamics. The speaker discusses their unique transition from economics to this field, detailing methodologies for analyzing publication records to uncover relationships among research topics and institutions. Furthermore, it predicts future scientific expertise based on existing skills in various cities, illustrating how this approach can enhance research trajectories.