Call for Papers 征稿启事

2026 SMLE Annual Conference:
Machine Learning in Economics 2026 SMLE 年度会议：
机器学习在经济学中的应用

July 11–12, 2026 2026 年 7 月 11–12 日
PKU, Beijing 北京大学 线下
Conference Language: English 会议语言：英文
Register to Attend 参会报名（无需投稿）

Overview会议概述

The Society for Machine Learning in Economics (SMLE) is pleased to announce its 2026 Annual Conference. We invite submissions of high-quality research papers at the intersection of machine learning, computational methods, and economic theory. The conference aims to foster dialogue between academic researchers, central bank economists, and industry data scientists to advance the frontier of economic modeling. 经济学与机器学习学会（筹）(SMLE) 很高兴地宣布其 2026 年度会议。我们诚邀处于机器学习、计算方法与经济学理论交叉领域的高质量研究论文投稿。本次会议旨在促进学术界研究员、央行经济学家与工业界数据科学家之间的对话，共同推进经济建模的前沿发展。

Confirmed Speakers已确认演讲嘉宾

The following speakers have confirmed their participation in the conference. More speakers will be announced soon. 以下学者已确认参加本次会议，后续嘉宾名单将持续更新。

  • Zhigang Feng

    University of Nebraska at Omaha

  • Goutham Gopalakrishna

    University of Toronto, Rotman

  • Felix Kubler

    University of Zurich

  • Serguei Maliar

    Santa Clara University

  • Jonathan Payne

    Princeton University

  • Simon Scheidegger

    HEC Lausanne

  • Yucheng Yang

    University of Zurich

  • Shenghao Zhu

    University of International Business and Economics

Conference Co-Organizers会议组织者

Felix Kubler

Felix Kubler

University of Zurich

Homepage个人主页 Bo Li

Bo Li

Peking University

Homepage个人主页 Serguei Maliar

Serguei Maliar

Santa Clara University

Homepage个人主页 Yucheng Yang

Yucheng Yang

University of Zurich

Homepage个人主页

Research Tracks征稿主题方向

We welcome submissions in, but not limited to, the following areas:

我们欢迎（但不限于）以下领域的论文投稿：

01

Computational Macroeconomics

Deep learning applications for analyzing DSGE and heterogeneous agent models.

DSGE HANK Deep Learning
02

Machine Learning in Econometrics

High-dimensional inference, causal machine learning, and non-parametric estimation.

Causal ML Inference Non-Parametric
03

Market Design & AI

Algorithmic pricing, mechanism design, and automated market makers.

Mechanism Design Pricing AMM
04

Reinforcement Learning in Economics

RL for policy design and agent-based modeling.

Policy Design RL Agents
05

Natural Language Processing

LLMs for economic modeling, central bank communications, and sentiment analysis.

LLMs Sentiment Central Bank Text
06

AI for Macro Development

AI-assisted research on development economics, macro policy design, growth dynamics, and structural transformation.

Development Macro Policy Growth

Important Dates重要日期

Submission Opens / Email Channel Opens投稿开放 / 邮箱通道开启

Date

April 1, 2026

Submission Deadline投稿截止

Please Note the Deadline注意时间

Deadline

May 15, 2026

Decision Notification录取通知

Notification by Email邮件通知

Date

Jun 4, 2026

Early Registration早鸟注册

Early-Bird Deadline早鸟截止时间

Date

Jun 15, 2026

Regular Registration: starts on June 16, 2026 (after Early-Bird ends). 常规注册：将于 2026 年 6 月 16 日开始（早鸟截止后）。

Attendance-Only Registration仅参会报名

Registration is now open for participants who would like to attend without submitting a paper. 未投稿但希望参会的听众现可通过会议注册链接报名。

Register on Indico 前往报名页面

Submission Status投稿状态

The submission deadline has passed, and new paper submissions are no longer accepted. Attendance-only registration remains open. 投稿截止时间已过，现不再接受新的论文投稿；仅参会报名仍开放。

Submissions Closed 投稿已截止

The submission deadline has passed. Attendance-only registration remains open. 投稿截止时间已过，现不再接受投稿；仅参会报名仍开放。

Questions about the conference or your submission? Contact the organizing committee. 如有会议或投稿相关问题，请联系组织委员会。