Honglin (虹霖) Bao
Innovation, Complex Systems, and AI for Social Science
Digital, Data, and Design Institute -- my official D^3@Harvard page
Hi there! I am Honglin (he/him), a computational social science research associate in D^3/Harvard Business School working with Drs. Anjali Bhatt and Amit Goldenberg. I also collaborate on papers with Dr. Misha Teplitskiy (UMichigan School of Information) and NC State Network Analysis Group.
I study the social processes of innovation — how new ideas and practices are born and spread, how social, scientific, and technological institutions influence collective cognition, evaluation, and discovery, and how innovation and broader societal issues like inequality and policy impact each other reciprocally.
I use and develop computational/quantitative methods: network analysis, NLP, machine/deep learning, causal inference/econometrics, and agent-based modeling.
Broadly, I am interested in the general theory behind the emergent information within complex systems from social organizations, human understanding, large language models, to cities, and how the social methodological paradigms learn from complex systems and AI.
My papers appear in top peer-reviewed journals and proceedings across computer science, statistical physics/network science, and social sciences including Nature Communications.
I have training in mathematics, computer science, social science, and evolutionary biology and my research benefits from multidisciplinary theories. Before HBS I graduated from Michigan State. I am from Northeastern China where I volunteered for LGBTQ health for years. When I'm not doing research, you'll usually catch me road running🏃, swimming 🏊 or hitting my heaviest lifts 🏋️.
Drop me an email for collaboration - hbao at hbs dot edu or baohlcs at gmail dot com.
Selected Papers
I occasionally advertise my papers through my Twitter(X) highlights.
"Cultural Ties" Shape Schools of Thought [Paper]
R&R, Poetics
Presented at AS(ociology)A 2023 Science Knowledge and Technology section and HBS D^3 research workshop 2023 Slides
"Bad" Citing Reduces the Reproduction of Inequality in Science [Paper]
Nature Communications, 2024
Selected media coverage “Swarm Agents Club”; Twitter thread
Code and data; Presented at Computational Organization Modeling Society Brown Bag Seminar 2023 and HBS D^3 research workshop 2022 Slides
Work in Progress
AI + Science: With Mengyi Sun and Misha Tepltskiy. Presented at HBS D^3 research workshop 2024.
"Vogue" in Science: With Xiaoqin Yan, Tom Leppard, and Andrew P. Davis. To be presented at IC2S2 2024 and ICSSI 2024.