People

CPC affiliates include prominent and emergent scholars across most social scientific departments and colleges at Cornell, including the College of Human Ecology, the College of Agriculture and Life Sciences, the College of Arts and Sciences, ILR, and City and Regional Planning.

Leadership

Faculty Affiliates

Postdoctoral Affiliates

Graduate Student Affiliates

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Affiliate Spotlight

  • Ian Lundberg smiling at the camera
    Ian Lundberg

    Ian Lundberg is an assistant professor of information science. His research develops statistical and machine learning methods to answer questions about inequality in America. Substantively, his interests focus on inequality, poverty, and economic mobility. Methodologically, Ian's work answers these questions by developing tools at the intersection of computational social science and causal inference. Ian received a PhD in sociology and social policy from Princeton University. For the most recent information on Ian's work, see his webpage.
  • Monica Cornejo

    Dr. Monica Cornejo is an Assistant Professor in Interpersonal Communication in the Department of Communication at the College of Agriculture and Life Sciences. Dr. Cornejo’s research uses qualitative and quantitative methodologies to examine the structural barriers that lead to inequities among undocumented immigrants, how undocumented immigrants draw on communication identity management and advocacy strategies to challenge those barriers, and how those strategies relate to undocumented immigrants’ health and wellbeing.
  • Wenfei Xu's research questions how housing policies, practices, institutions, and technologies have shaped urban inequality, with an orientation towards methods in urban analytics. She works on topics in social-spatial stratification, segregation, race and ethnicity, data science, mapping, and neighborhood change in the United States. Her work has ranged from an interest in the historical legacies of structural housing discrimination and its contemporary spatial-temporal manifestations to exploring the uses of big data in characterizing human activity for urban social science research.