Honglin (Carson) Bao

Honglin (Carson) Bao

A student in Organization, Behavior, and Computational Social Science

Digital, Data, and Design Institute

Harvard Business School


Hi there! My name is Honglin (Carson) Bao (he/him). I go by Honglin - 虹霖.

I have a multidisciplinary background in mathematics, computer science, economics, and evolutionary biology. I’m currently working with Drs. Anjali M. Bhatt, Amit Goldenberg, and lots of smart brains at the Organization Unit and D^3 Institute, Harvard Business School. I research “collective intelligence” in human society from the view of Complex Adaptive Systems – teams, science, organization, culture, cognition and emotion – using quantitative methods -(agent-based) simulation models, machine learning, trace data, network analysis, causal inference - and collaborating with experimental psychologists. An overview of my research agenda can be seen here.

Prior to that, I graduated from Michigan State. I work with Dr. Misha Teplitskiy at the School of Information, U-Michigan, Ann Arbor, on Sociology of Science and Innovation. I work on several simulation models studying the collective emergent norms on networks with Dr. Zachary Neal (MSU Psychology) and the Koza Chair Dr. Wolfgang Banzhaf (MSU Computer Science). I also work with Dr. Winson Peng (MSU Communication) on big data-driven social media studies and computational social science.

I’m active in research collaboration. Contact me: baohlcs at gmail.com

  • Methodology - all around Computational Social Science
  • Substantive Area - Sociology of Organization & Innovation, Complex System




Rhetoric in Science
When you write papers, you will cite references because they inspire you, as normative theory states. You may have other references because they have rhetorical utilities, as shown in social constructivism. In collaboration with Misha Teplitskiy at the School of Information, University of Michigan, we study sociological theories in science by posing the following question: What roles do these two groups of references play, respectively, in equally or unequally distracting papers' status, quality, and attention from citers?
Social Inspiration in Computing + Computational Social Science
I am working on a long survey paper with Dr. Wolfgang Banzhaf at MSU CSE that studies the inspiration from social sciences and collective intelligence in the computing realm. How does the computing community get inspiration from social sciences, e.g., social choice theory, game theory, auction/mechanism design, agent-based social simulation, psychology/behavioral study, organizational sociology, and social networks?

Data Sets, Tutorials, and Useful Resources

I value open science. These are my commitments to it.

CV of Successes & Failures

This is my standard CV.

Inspired by economist Dr. Johannes Haushofer, I also have a CV OF FAILURES – besides my accomplishments, I also talk about the papers that did not get accepted and the funding I did not get. I hope this idea can reduce survivorship bias in academia and relieve your (and my) “imposter syndrome” :)

  • I failed to get NSF BEACON funding for the project “Co-evolutionary Stability and Behaviors in Social Networks.” We intended to study the co-evolution of i) bounded-rational node (agent) behaviors with continuous representations and ii) the structure of open-ended signed networks, like the Siena model, and improve the inference process of agents' decision-making through heuristic approaches.
  • I failed to get NSF funding with my collaborator at the management department, MSU Eli Broad business school. We intended to apply network analysis methods and evolutionary computing approaches to improve the robustness of supply chain networks.


I have some very cool tattoos; one of my favorites is this piece. I dedicated many years to volunteering with LGBTQ public health in China.