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
I study collective intelligence in complex human organizations — Science, Collective Emotion/Action, Culture, Teams, and a diverse array of human products. I adopt an emergent perspective to define collective intelligence as a larger, more unpredictable sum of individuals, along with their perceptions, structures, and complex interconnections. I am particularly interested in the mechanisms of diminishing, enhancing, and predicting collective intelligence. To do so, I employ mixed methods, such as simulation, big data, collaboration with experimentalists, and draw multidisciplinary insights from social science, biology, and computer science.
Three specific lines I am working on:
The first line of my research inquiry is rooted in (macro)-organization theory and Science of Science. Science is probably the most notable form of collective intelligence in human history. The Ortega Hypothesis states that scientific advancement is driven by a collective of a large number of mediocre contributions (it has been challenged in numerous ways though).
The second line of my research agenda focuses on the micro-macro bridge in organizations and networks: how individuals proactively or passively learn organizational norms, culture, and collective beliefs and how individual learning and conformity influence macro-level dynamics (aka collective intelligence).
The third line of my research agenda is rooted in the fruitful collaboration with micro-OB researchers. I research collective emotion and complex contagion, where emotion activation can happen in a multi-source social reinforcing process.
I value open science. These are my commitments to it.
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 have some very cool tattoos; one of my favorites is this piece. I dedicated many years to volunteering with LGBTQ public health in China.