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2026年大数据与计量经济学国际研讨会(BDE 2026)
会议日期:2026-4-17 至 2026-4-19
会议地点:西安市
收录检索:CNKI, Google Scholar
会议简介
2026年大数据与计量经济学国际研讨会(BDE 2026)
2026 Int'l Conference on Big Data & Econometrics(BDE 2026)
时间:2026年4月17-19日
地点:中国西安
会议官网:https://www.academicx.org/BDE/2026/
投稿邮箱:editor4@academicx.org
 
△. 大会简介
2026年大数据与计量经济学国际研讨会(BDE 2026)将于2026年4月17-19日在中国西安举行。此次会议旨在深入探讨大数据与计量经济学的前沿研究,涉及因果推理技术,计量经济学中的机器学习,实时数据分析,文本和情感分析等方面。

△. 大会嘉宾
 
Prof. Elmo Tambosi Filho
Federal University of Santa Catarina, Brazil
Title: CAPM CONDITIONAL MODEL: GENERAL OVERVIEW
 
Dr. Edward Bace
Middlesex University London
Title: Value at Risk: Lessons Learned

 
Prof. Muhammad Mohiuddin
Laval University, Canada
Title: Advanced Technology, Trade war and reshaping of the global value chains

 
Prof. MUDDASSAR SARFRAZ
Zhejiang Shuren University, China

 
Prof. Amalendu Bhunia
Department of Commerce, University of Kalyani, India
Title: AI-Based Volatility Forecasting: Evidence from Chinese and Indian Stock Markets

 
Dr. Mohd Norazmi bin Nordin
Universiti Kebangsaan Malaysia (The National University of Malaysia), Malaysia

 
Prof. Mustafa Z. Younis
Jackson State University, USA
Title: A Review of Health care Reform in USA & the Affordable Care Act (CA)

 
Associate Professor Qiuyun ZHAO
Institute for Global Health and Development, Peking University, China

 
Dr. Abdul Manaf bin Bohari
Universiti Utara Malaysia, Malaysia

 
Prof. Sudhir K. Jain
Department of Management Studies Indian Institute of Technology Delhi, India

 
Dr. Gitika Nagrath
DAV University Jalandhar (Punjab), India
Title: Predicting India’s Tourism Future in Global Landscape: A Comparative ARIMA based Forecast of International Tourist Arrivals
 
Prof. Jiang Guo
California State University, Los Angeles
Title: From Crisis Management to Market Intelligence: Transformative AI Applications Across Modern Economies

 
Prof. Madya Dr. Md Rabiul Islam
University of Utara, Malaysia

 
Associate Professor Alexey Mikhaylov
Department of Science, Financial Faculty, Financial University under the Government of the Russian Federation, Moscow, Russia
Title: Revisit energy consumption, economic growth and carbon dioxide emissions links in transition countries using a new developed Quantile_on_Quantile approach
 
Assistant Professor Alireza Goli
Department of Industrial Engineering and Future Studies at the University of Isfahan, Iran
Title: Biofuel Supply Chains: A New Concept For Energy Demand

 
Prof. Rajeev Singhal
School of Business Administration, Oakland University, USA
Title: Idiosyncratic Risk and Return

 
Associate Professor Rohail Hassan
Othman Yeop Abdullah Graduate School of Business (OYAGSB),Universiti Utara Malaysia, Malaysia
Title: Integrating ESG into Corporate Strategy: Driving Sustainable Value Creation

 
Associate Professor Mahdi Roozbeh
Faculty of Mathematics, Statistics and Computer Sciences, Semnan University, Iran
Title: Modeling extensive big data sets using robust penalized least-squares and support vector regression

 
Dr. Rabia Najaf
Sunway University, Malaysia

 
Dr.  Kashif  Abbass
Nanjing University of Science and Technology, China
Title: Climate Change, Fiscal Action, and Financial Access: Unpacking Emissions Drivers in Asian Economies

△. 参会方式 
1、全文参会(参会 + 全文发表 + 报告)  
投递全文并参会,录用的文章发表在开源期刊上,被知网学术、谷歌学术等收录;  
一篇文章的注册费含一位作者的参会费用,将安排做10-15分钟的口头报告;  
2、摘要参会(参会 + 摘要 + 报告 )
投递摘要并参会,安排10-15分钟口头报告;
3、听众参会:无报告仅参会
注:如因特殊情况无法到场参会,可提供海报或录制的报告视频。会后我们将发送照片,并办理发票、邀请函、参会证明、会议期刊、会议证等物资的邮寄。
 
△. 文章出版
出版物:所有被会议录用的英文稿件将会发表在国际英文开源期刊的正刊上, 更多详情请与我们联系(editor4@academicx.org / paper_service@163.com)。
检索:知网及谷歌学术收录

投稿须知:
1. 初版文章必须是PDF或WORD版格式,并统一通过网上投稿系统或组委会邮箱提交。终版文章必须是可编辑的WORD版格式或Latex文件包。
2. 如果您只是参会作报告,不需要发表文章,只需要将摘要提交到投稿系统。
3. 您可点击左上角Template for Manuscripts下载全文投稿模板,按照此模板准备文章。全文篇幅建议15-20页(按照模板格式,带图和参考文献),超过20页需缴纳超页费。摘要投稿需使用英文书写,无格式要求,具备标题、内容、关键词、作者信息即可,篇幅建议控制在1页以内,最长不超过2页。
4. 投稿之后5-7个工作日内您会收到审核结果,如逾期未收到邮件通知,请您尽快联系我们。
5. 可投中文稿件,文章题目、摘要,关键词需要中英双语,正文部分为中文(可联系我们索取模板文档)。参会时口头报告/海报张贴必须做英文的。
 
△. 大会日程(供参考) 
2026年4月17日 - 大会签到(发指南、期刊、参会证、餐券等相关物资)
2026年4月18日2025年1月5日 - 特邀演讲嘉宾报告
2026年4月19日 - 作者报告及海报展示

 
该会议征文涉及领域包括(但不限于):
Causal Inference Techniques
Machine Learning in Econometrics
Real-Time Data Analysis
Text and Sentiment Analysis
Alternative Data Applications
Data Privacy and Ethics
Predictive Modeling
Robustness and Model Validation
High-Dimensional Econometrics
Natural Language Processing (NLP)
Time Series Innovations
Structural Estimation with Big Data
Spatial Econometrics 2.0
Digital Experimentation
Financial Econometrics
Measurement Challenges
Network Econometrics
Computational Innovations
Deep Learning Applications
Policy Analysis and Evaluation
Reproducibility & Ethics
Emerging Data Types






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