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2026 Int'l Conference on Big Data & Econometrics(BDE 2026)

BDE 2026

Date of beginning

Friday, 17 April 2026

Duration

3 days

Deadline for abstracts

Thursday, 02 April 2026

City

Xi'an, China

Country

China

Contact

Rolin

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Memo

2026 Int'l Conference on Big Data & Econometrics(BDE 2026)  April 17-19, 2026  Xi'an, China   Website:https://www.academicx.org/BDE/2026/ Date:April 17-19, 2026 Venue:Xi'an, China Email:This email address is being protected from spambots. You need JavaScript enabled to view it. (This email address is being protected from spambots. You need JavaScript enabled to view it.) Index: CNKI, Google Scholar   🌏 Conference Background 2026 Int'l Conference on Big Data & Econometrics (BDE 2026) will be held during April 17-19, 2026 in Xi'an, China. This Conference will cover issues on Causal Inference Techniques, Machine Learning in Econometrics, Real-Time Data Analysis, Text and Sentiment Analysis and other related fields. The conference is designed to serve as a platform for experts and scholars to share the latest research findings, discuss innovative approaches, and exchange advanced research methodologies in related fields.   📝 Call For Papers 2026 Int'l Conference on Big Data & Econometrics (BDE 2026) will be held during April 17-19, 2026 in Xi'an, China. You are invited to submit papers and participate in our academic exchange. (The conference is soliciting state-of-the-art research papers in the following areas of interest:) 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   📍 Attendance Methods 1.Regular Attendance ( No Submission Required ) You're also welcome to attend our conference (without submitting full paper or abstract) 2.Abstract submission Submit abstract ( Regular Attendance + Abstract + Presentation ) You are welcome to submit abstract for oral presentation or poster presentation. Full Paper submission Submit full paper ( Regular Attendance + Paper Publication + Presentation ) You are invited to submit papers and participate in our academic exchange. One author will be invited to make an oral presentation and the paper will be published by peer-reviewed open access journal.   📞 Contact Us Email: This email address is being protected from spambots. You need JavaScript enabled to view it. (This email address is being protected from spambots. You need JavaScript enabled to view it.) Whatsapp: 0086 18672346485 Tel: +86 18672346485 QQ: 1349406763 WeChat: 18672346485, 3025797047 Official Account: Academic Communications