2026 SMLE Annual Conference: Machine Learning in Economics
The 2026 SMLE Annual Conference: Machine Learning in Economics focuses on frontier applications of machine learning methods in macroeconomics and macro-finance. It explores the interdisciplinary field bridging machine learning, computational approaches and economic theories, striving to build a high-standard international academic exchange platform and advance the innovative application and achievement transformation of cutting-edge methodologies in economic research.
We welcome researchers from domestic and overseas universities as well as research institutes to submit manuscripts. Centered on the deep integration of artificial intelligence algorithms and economic research topics, the conference hosts in-depth academic exchanges to boost the coordinated development of theoretical research, methodological innovation and empirical study, and jointly explore new developmental paths for interdisciplinary disciplines.
I. Conference Information
Name: 2026 SMLE Annual Conference: Machine Learning in Economics
Dates: July 11 – 12, 2026
Venue: School of Economics, Peking University
Language: English
II. Conference Research Tracks
l Computational Macroeconomics
l Machine Learning in Econometrics
l Market Design & Artificial Intelligence
l Reinforcement Learning in Economics
l Natural Language Processing for Economic Modelling
III. Registration Fees (Unit: CNY per Person)
l Student Participants: Early-bird Rate: CNY 350; Standard Rate: CNY 700
l Faculty Participants: Early-bird Rate: CNY 700; Standard Rate: CNY 1,400
Early-bird registration closes at 23:59 (Beijing Time), June 15, 2026.