Yuan Yuan

Assistant Professor, Purdue University

Hi! My name is Yuan Yuan (). I am a computational social scientist and an assistant professor in Management Information Systems at the Daniels School of Business (MIS area) at Purdue University.

I am interested in

I work closely with companies to explore topics in networks and A/B testing, and a lot of my research comes from those collaborations. Since summer 2022, I am visiting Microsoft Office of Applied Research (part-time). I was a research intern at Facebook Core Data Science (current Meta Central Applied Science) in summer 2020.

As a computational social scientist, I am dedicated to interdisciplinary research and have published in prestigious general interest journals (PNAS and Nature Communications), top-field journals in management (Management Science), and computer science conferences (WWW and EC).

Before Purdue, I did my PhD in Institute for Data, Systems, and Society (IDSS) at Massachusetts Institute of Technology. I received my Bachelor's degrees with honors in Computer Science and Economics from Tsinghua University.

Follow me on Twitter .

Research

Working papers

  1. Yuan Yuan and Kristen Altenburger, " A two-part machine learning approach to characterizing network interference in A/B testing "

    - Conference version: Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests
    - Major revision at Manufacturing & Service Operations Management

  2. Yuan Yuan, Mengting Wan, Brent Hecht, Jaime Teevan, Longqi Yang "Large-scale telemetry data reveal associations between intra-organizational networks and firm financial performance," invited to resubmit to Management Science.

  3. Shan Huang*, Chen Wang*, Yuan Yuan*, Jinglong Zhao*, Jingjing Zhang, Estimating effects of long term treatments

    - Conference version accepted at ACM Economics and Computation (EC'2023)
    - Major revision at Management Science

  4. Yuan Yuan, Christos Nicolaides, and Dean Eckles, " Promoting physical activity through prosocial incentives on mobile platforms "
  5. Yan Leng* and Yuan Yuan* " Do Generative AI Agents Exhibit Social Behavior? "

Journal Articles

  1. Marie Charpignon*, Yuan Yuan*, Dehao Zhang*, Fereshteh Amini, Longqi Yang, Sonia Jaffe, Siddharth Suri "Navigating the new normal: Examining co-attendance in a hybrid work environment", forthcoming at the Proceedings of the National Academy of Sciences, if=11.1
  2. Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex 'Sandy' Pentland, and Jie Tang, " Gift contagion in online groups: Evidence from Virtual red packets " , Management Science, , 2023.
  3. Yuan Yuan, Eaman Jahani, Shengjia Zhao, Yong-Yeol Ahn, and Alex Pentland, " Implications of COVID-19 vaccination heterogeneity in mobility networks " , Communications Physics (Nature Portfolio), if=6.5, 2023
  4. Ding Lyu, Yuan Yuan (corr author), Lin Wang, Xiaofan Wang, Alex Pentland, " Investigating and modeling the dynamics of long ties " , Communications Physics (Nature Portfolio), if=6.5, 2022.
  5. Yuan Yuan, Ahmad Alabdulkareem, and Alex 'Sandy' Pentland, " An interpretable approach for social network formation among heterogeneous agents " , Nature Communications, if=16.6, 2018.

Conference proceedings

  1. Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhou, Zheng Cai, "Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms", the Web Conference (WWW), acceptance rate=19.2%, 2023.
  2. Yuan Yuan, Kristen Altenburger, and Farshad Kooti, " Causal Network Motifs: Identifying Heterogeneous Spillover Effects in A/B Tests ", the Web Conference (WWW), acceptance rate=20.6%, 2021.
  3. Yuan Yuan, Sihong Xie, Chun-Ta Lu, Jie Tang, and Philip S. Yu, " Interpretable and effective opinion spam detection via temporal pattern mining across websites ." IEEE International Conference on Big Data, acceptance rate=18.7%, 2016.

Other Publications

  1. Yuan Yuan, Tracy Xiao Liu " Spillover effects in online field experiments: an annotated reading list ." ACM SIGecom Exchanges, 2022.

Work in Progress

  1. Yuan Yuan " Multi-Calibrated heterogeneous treatment effect estimation "

* indicates equal contributions.
** Other projects follow the first-author-emphasis norm, which is common in fields like CS and natural sciences.


Services

Technical Program Committee: MIT Conference on Digital Experimentation, 2019-2021.

Reviewer: NSF Proposal, Journal of the American Statistical Association, Management Science, MIS Quarterly, Information Systems Research, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Big Data, HBS Misinformation Review, American Causal Inference Conference (ACIC), IC2S2, WITS, CIST, WINE

Organizer: SICSS Beijing 2021, WINE Experimentation Workshop 2021.

Teaching

Social network analytics (undergrad, new course), Spring 2023, 2024

Introduction to Management Information Systems (undergrad), Spring 2022, 2024

Social network analytics (PhD, new course), Fall 2021

I will be teaching undergraduate level in Spring 2022.


Contact

If you have any questions or just want to have a chat, please contact me via:

Email: yuanyuan [at] purdue [dot] edu

Purdue office: 403 W State St, Room 709, West Lafayette, IN 47907

Twitter: