- 学术相关
- Human-centered artificial intelligence: a field experiment
- Demographic transition, industrial policies, and chinese economic growth - the econometric society
- Understanding driver cognition and decision-making behaviors in high-risk scenarios: a drift diffusion perspective
- Dynamic causal modelling in probabilistic programming languages
- 技术技巧
学术相关
Human-centered artificial intelligence: a field experiment 1
Demographic transition, industrial policies, and chinese economic growth - the econometric society 2
Understanding driver cognition and decision-making behaviors in high-risk scenarios: a drift diffusion perspective 3
Dynamic causal modelling in probabilistic programming languages 4
技术技巧
TaskPyro丨Python任务调度与爬虫管理平台
- Python环境管理
- 任务调度
- 资源高效利用
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Krakowski, S., Haftor, D., Luger, J., Pashkevich, N., & Raisch, S. (2025). Human-centered artificial intelligence: A field experiment. Management Science, mnsc.2022.3849. https://doi.org/10.1287/mnsc.2022.03849 ↩
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Demographic transition, industrial policies, and chinese economic growth—The econometric society. (n.d.). Retrieved June 11, 2025, from http://www.econometricsociety.org/publications/quantitative-economics/2025/05/01/Demographic-Transition-Industrial-Policies-and-Chinese-Economic-Growth ↩
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Huang, H., Li, Z., Cheng, H., Wang, H., Jiang, J., Li, X., & Zgonnikov, A. (2025). Understanding driver cognition and decision-making behaviors in high-risk scenarios: A drift diffusion perspective. Accident Analysis and Prevention, 220, 108123. https://doi.org/10.1016/j.aap.2025.108123 ↩
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Baldy, N., Woodman, M., Jirsa, V. K., & Hashemi, M. (2025). Dynamic causal modelling in probabilistic programming languages. Journal of the Royal Society, Interface, 22(227), 20240880. https://doi.org/10.1098/rsif.2024.0880 ↩