International Workshop: AI-Biz2017

November 13-15, 2017
Graduate School of Business Sciences, University of Tsukuba
3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012, Japan
http://www.gssm.otsuka.tsukuba.ac.jp/english/access.html

Aims and Scope

The objective of this workshop is to foster the concepts and techniques of“Business Intelligence (BI).” in Artificial Intelligence. BI should include such cutting-edge techniques as data science, agent-based modelling, complex adaptive systems, and IoT. The application areas include but not limited to business management, finance engineering, service sciences, manufacturing engineering, and so on.

The basic idea of BI would enhance the capabilities of conventional techniques in business domain, however, so far, we have not discussed BI concepts deeply in artificial intelligence literature. We would like to focus on BI topics to the issues of firms and organizations for getting more benefits on interactions with human- and computer- mixed systems.

The main purpose of this workshop is to provide a forum to discuss important research questions and practical challenges in Business Intelligence, Business Informatics, Data Analysis and Agent-based Modelling to exchange latest results, to join efforts in solving the common challenges. It is also to establish an effective communication between researchers and developers involved in the both areas. The workshop will provide opportunities for the participants to exchange new ideas and experiences to establish research or business network and to find global partners for future collaboration.

Important Dates

Submission Deadline: September 7, 2017 (extended!)
Notification: September 30, 2017
Camera-ready due: October 18, 2017
Deadline for Early registration : October 31, 2017
Workshop: One day in November 13-15, 2017

Submissions

Papers must be prepared according to the Springer LNCS/LNAI format. The page limit is 14 pages, including figures and bibliography.
Selected papers will be published as a post-proceedings via Springer Verlag LNAI after the second round of review after the workshop.
Please ensure that your paper fully complies with the LNAI format.
Guidelines for the LNAI format
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
LNCS/LNAI style files
ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip
Submission and review of papers for AI-Biz2017 is managed via EasyChair:
www.easychair.org/conferences/?conf=aibiz2017

Registration

Please register the workshop at registration page of JSAI International Symposia on AI 2017.

Topics

The topics include but not limited to:
  • Data Mining, Text Mining and Data Analysis
  • Empirical Analysis on Managerial Decision Making
  • Agent-Based Computational Economics & Finance
  • Agent-Based Game, Serious Game and Business Game
  • Agent Based Economics
  • Agent Based Policy Making
  • Gaming Simulation on Social and Business Problems
  • Issues and Case Studies on Business and Finance Problems
  • Knowledge Management
  • Information Security
  • Collective Intelligence and Human Computation on Social Problems
  • Participatory Design and Simulation on Social Problems
  • Simulators for Macroeconomic Policy
  • Valuation and Asset Pricing
  • Corporate Governance and Regulation
  • Discrete Choice Models in Economics and Management Sciences
  • Emergence and Dynamics of Norms and Conventions
  • Financial Market models and Auction
  • Dynamics of Complex, Social and Economic Networks
  • Complexity and Market Dynamics
  • Health and Infectious Diseases
  • Power Market and Consumer Market Analysis
  • Micro Service Orchestration
  • IoT, IoE for Business Process Innovation
  • Environmental Accounting
  • Multi Dimensional Accounting
  • Private Finance Initiative
  • Disaster Management
  • Real World Operating System

  • ORGANIZING COMMITTEE

    Workshop Chair
  • Takao Terano (Tokyo Institute of Technology)
  • Hiroshi Takahashi (Keio University)
  • Setsuya Kurahashi (University of Tsukuba)

  • Steering Committee Members
  • Hiroshi Deguchi (Tokyo Institute of Technology)
  • Reiko Hishiyama (Waseda University)
  • Manabu Ichikawa (National Institute of Public Health)
  • Yoko Ishino (Yamaguchi University)
  • Hajime Kita (Kyoto University)
  • Hajime Mizuyama (Aoyama Gakuin University)
  • Masakazu Takahashi (Yamaguchi University)
  • Shingo Takahashi (Waseda University)
  • Takashi Yamada (Yamaguchi University)

  • Category

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