Recently, Professor Ma Huanfei from the School of Mathematical Sciences, in collaboration with colleagues from the University of Chinese Academy of Sciences, Fudan University and the university of Tokyo, proposed a new algorithm for data-driven causal network identification. The achievements of the study entitled Partial cross mapping eliminates indirect causal influences, was published online in Nature Communications on May 26.