Xiaoling Shu

Shu

Position Title
Director East Asian Studies
Professor of Sociology

Bio

Education

  • Ph.D., Sociology, University of Minnesota, 1991-97
  • M.S., Computer Science, University of Minnesota, 1996-97
  • M.A. coursework in Linguistics, BFSU, 1990-91
  • B.A., English & Economics, Beijing Foreign Studies University, 1990

About

Xiaoling Shu’s research focuses on the impacts of two of the most profound processes of our times – market transition and globalization – on gender inequalities, subjective sense of well-being, and gender, family, marriage, and sexual behaviors and attitudes. She uses data science models on national and international data to carry out country-specific (China and the United States) and cross-national analyses. 

舒晓灵研究这个时代意义深远的两个历史进程--市场化和全球化--对劳动力市场与家庭性别平等,主观幸福感和性别婚姻家庭性行为和态度的影响。运用数据模型与大型数据,既进行对中国和美国的单国研究,又采用多国跨国比较。

Recent Publications

Books
Journal Editing
  • Shu, Xiaoling. 2020. Editor, Special Issue on "Computational Social Science in the Era of Big Data" Journal of Sociological Studies.
Peer-Reviewed Journal Articles
Book Chapters
  • Shu, Xiaoling. Forthcoming. “Cohort Size, Historical Times and Life Chances: The Misfortune of Children of China’s Cultural Revolution.” Handbook of Sociology of China (Yaojun Li and Yanjie Bian eds.). Imperial College Press.
  • Shu, Xiaoling and Yiwan Ye*. Forthcoming. “China, Quality of Life and Well-Being” Encyclopedia of Quality of Life and Well-Being Research (Filomena Maggino ed.). Springer.

Research Focus

Social Stratification, Gender, Quantitative Methods, Life Course, Social Demography, Comparative Studies, Computer Simulation, Knowledge Discovery & Data Mining

EXPERTISE IN DATA SCIENCE MODELING

Knowledge Discovery and Data Mining, Confirmatory factor analysis, structural equation models, multilevel linear and nonlinear models, cross-classified fixed- & random-effect models (age-cohort-period cross-classified fixed- & random-effect models), event history analysis (discrete-time event history analysis & Cox regression), and dynamic modeling (partial adjustment models).

M.S. in Computer Science specializing in Artificial Intelligence, knowledge discovery and data mining.

CURRENT PROJECTS

Chinese Marriage and Family in Transition: Confucianism, Socialism, and Modernization (with Jingjng Chen). Rutgers University Press (Under Contract). 

Selected Publications

Gender Ideology, Gender Inequalities in China, U.S., and Globally
Artificial Intelligence, Knowledge Discovery and Data Mining 
Quality of Life and Stratification 

Teaching 

Graduate
  • Knowledge Discovery in Social Sciences: A Data Mining Approach
  • Social Transformation and Life-course Dynamics: Theories and Methods
  • Advanced Topics in Quantitative Methods: Structural Equation Models 
  • Advanced Topics in Quantitative Methods: Multilevel Models 
  • Market Transition and Social Stratification in China 
Undergraduate
  • Social Stratification 
  • Intermediate Social Statistics 
  • Introductory Social Statistics
  • Markets, Culture, and Inequality in China 
  • The Emerging Middle Classes in China

Awards

  • Book Publication Assistance Grant, Office of Research & Letters & Science Dean’s Office, 2019.
  • Faculty Career Development Award, Academic Affairs, 2017, 2011, 1999.
  • Grant for Regional Faculty Groups, Global Affairs, 2017.
  • Fellow, Institute for Social Sciences, 2017.
  • Undergraduate Instructional Improvement Program Grant, 2007, 1998.
  • MacArthur Fellowship, John D. and Catherine T. MacArthur Foundation,1991-95.