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🌠[Coding Time]

📚[Research Time]

Research Interest

I mainly write theoretical papers that examine how digital organizing can be rationally designed, in dealing with complexity in information systems. My studies consist of three connected streams.

  • Decentralized Organizational Design with Blockchain Technology (i.e., Regime)
  • Managing Wisdom of Crowds in Crowd-Based Innovation (i.e., Human Component)
  • Managing Wisdom of AI in Organizational Rationality (i.e., Machine Component)

Research Methodology

  • Computational Modeling
  • Econometrics

More about me

linkedin     mail     ⭐️ NUS Garbege Can Lab     ⭐️ HIT eHealth Research Institude    

Junyi Li's Projects

ailearning icon ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

blp-python icon blp-python

BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)

hawkes icon hawkes

Python class for generation and parameter estimation of multivariate Hawkes processes

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

machine-learning icon machine-learning

:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

oxford-poster icon oxford-poster

LaTeX beamer poster template themed for the University of Oxford

simulator icon simulator

Code base for the epidemiological model introduced in the context of COVID-19

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