A competitive scientific workforce is essential for the health and well-being of a society. However, U.S. dominance in the global knowledge economy has been challenged in recent years: the U.S. is outspent by China (in terms of R&D funding) and out-produced by the EU (in terms of doctoral graduates and scientific publications). Furthermore, gender inequalities persist, with men producing more scientific articles than women in every state.
Dr. Ni argues that, for a country to be scientifically competitive, it must maximize its human intellectual capital-base and support this workforce equitably and efficiently. She propose a large-scale, heterogeneous analysis of the sociality, equality, and dynamicity of the scientific workforce through novel computational models for understanding and predicting the career trajectory of scientists based on their transformative interactions, gender, and levels of funding.
Chaoqun Ni got her Bachelor’s and Master’s degree in E-Commerce and Information System from Wuhan University, and Doctoral Degree in Information Science from Indiana University in Bloomington.