Hong Chen

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hongcc [at] umich.edu

105 S State St

Ann Arbor, MI 48105

I am a PhD student in School of Information at University of Michigan. I am fortunate to be advised by Misha Teplitskiy and David Jurgens.

I study science of science and innovation and have a broad interest in computational social science. My current research investigates global disparities in science and knowledge transfer within the science community. I adopt an interdisciplinary approach and use methods from NLP, network science, and causal inference in my research.

Previously, I received my Master’s degree from Carnegie Mellon University and my Bachelor’s degree from Zhejiang University. After a circuitous journey, like solving a non-convex optimization problem, I unlock the thrill of computational social science. Now when I’m not playing with data, you can find me blazing the kitchen, searching for misplaced goggles, or honing my barista skills for a backup career plan.

See my CV for papers and links.

news

Jul 02, 2024 Our paper titled “Geographical Disparities in Navigating Rejection in Science Drive Disparities in its File Drawer” is covered by Nature News.
Jun 30, 2024 I will be attending ICSSI 2024 in Washington D.C. and present my paper about resilience of collaboration network.
Jul 18, 2023 Our paper at the Social Influence in Conversations Workshop won Best Paper!!

selected publications

  1. Geographical disparities in navigating rejection in science drive disparities in its file drawer
    Hong Chen, Christopher I Rider, David Jurgens, and 1 more author
    Available at SSRN, 2024