Workshop call for papers

The Second Big Data for Economic and Business Forecasting

2018 IEEE International Conference on Big Data

Seattle, WA, USA, Dec 10-13, 2018

In the digitalized world, huge amount of data has been accumulated in all kinds of economic activities, such as production, consumption, trading and financing etc. Comparing with big data related technologies, applications of big data in business still has many challenges. There have been many researches analyzing the correlations or detecting causal relationships in the data. However, when it comes to the problem of using big data in forecasting, issues of efficiency, credibility and reliability arises. This workshop focuses on how to effectively use the knowledge in the transaction data, Internet data, sensors data etc. to do economic and business forecast. Both theoretical papers and empirical papers are welcome. Papers with innovative theories, models, algorithms, frameworks, and applications aiming at economic and business forecasting problems are encouraged. Authors of selected papers will have the opportunity to submit extended versions to Journal of Systems Science and Information.

Research topics

Macroeconomic forecast and early warning, exchange rate forecasting, energy forecast, financial time series forecast, commodity price forecast, population forecast, sales forecast, consumption forecast, production forecast, social media forecast, etc.

Important dates

Oct 15, Oct 20, 2018: Due date for full workshop papers submission

Nov 1, Nov 10, 2018: Notification of paper acceptance to authors

Nov 15, 2018: Camera-ready of accepted papers

Dec 10-13 2018: Workshops (Tentatively at 10 Dec)

Paper submission

This workshop accepts short papers no more than 8 pages. Please refer to workshop homepage: http://bdf2018.amss.ac.cn and the conference website http://cci.drexel.edu/bigdata/bigdata2018

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Program Chairs

Wei Shang, Center for Forecasting Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences

Xiangbin Yan, University of Science & Technology Beijing

Program Committee Members:

Daniel Zeng, University of Arizona

Cungen Cao, Institute of Computer Science, Chinese Academy of Sciences

Souhaib Ben Taieb, Monash University

Wei Xu, Renmin University of China

Wei Shang, Academy of Mathematics and Systems Science, Chinese Academy of Sciences

Xiangbin Yan, University of Science & Technology Beijing

Yuanchun Zhou, Computer Network Information Center, Chinese Academy of Sciences