【発表募集】IEEE CIFEr 2026 (5/15〆)

3 views
Skip to first unread message

Hiroki Sakaji

unread,
Mar 26, 2026, 3:53:10 AMMar 26
to sig...@googlegroups.com
NLC研究会メーリングリストの皆様

お世話になっております。
坂地です。


重ねて受け取られた方はご容赦ください。

9月10日、11日にIEEE CIFEr2026を東京(成蹊大学)で開催いたします。
金融・経済関連する情報技術の国際会議になっており、現在、発表を広く募集しております。

以下に英語ではありますが、発表募集を記載いたします。

皆様からのご投稿を心よりお待ちしております。


Call for Papers: IEEE CIFEr 2026
2026 IEEE Conference on Computational Intelligence in Financial Engineering and Economics

Web Page:
https://cifer2026.mhirano.jp/

Dates: September 10-11, 2026
Location: Tokyo, Japan
Submission Link: https://cmt3.research.microsoft.com/CIFEr2026/Submission/Index


【Overview】
In recent years, the rise of Generative AI, including ChatGPT, has fundamentally shifted the landscape of machine learning and its applications. While the impact on Natural Language Processing (NLP) is undeniable, the ripple effect is now transforming fields dealing with complex data—most notably finance and economics.
CIFEr 2026 is an international conference with a long-standing tradition of focusing on the application of information technology to financial and economic systems. Given the current technological shift, we are particularly interested in research involving:
  •The application of Generative AI and Large Language Models (LLMs) to financial sectors.
  •The use of Alternative Data and the new technologies required to process it.
  •Challenging research that combines Generative AI with established technologies, such as Multi-Agent Systems.


Important Dates (AoE)
  •Paper Submission: May 15, 2026
  •Notification of Acceptance: July 15, 2026
  •Early Registration: August 1, 2026
  •Camera Ready Submission: August 14, 2026
  •Conference Dates: September 10-11, 2026


Topics of Interest
We welcome submissions in the following areas of Computational Intelligence (CI) and their applications:
Computational Intelligence Areas & Models:
  •Machine Learning & Deep Learning in Finance
  •Large Language Models (LLMs) & Text Mining
  •Big Data Finance and Economics
  •Probabilistic Modeling & Inference
  •Evolutionary Computation & Particle Swarm Optimisation
  •Intelligent Trading Agents & Multi-agent Modelling
  •Time Series Analysis & Non-linear Dynamics
Application Areas (Finance, Economics, & Business):
  •Asset Allocation & Portfolio Optimisation
  •Algorithmic Trading & Trade Execution Systems
  •Risk Management & Pricing of Structured Securities
  •Behavioural & Evolutionary Finance
  •Cryptocurrencies & Blockchain Economics
  •Business Analytics & Recommender Systems
  •Demand Forecasting & Supply Chain Management


Paper Formatting and Submission
  •Review Process: This conference uses a blind review process. Do not include author names or identifying information in the initial submission. Depending on the number of submissions, we may conduct a two-stage peer review process.
  •Acceptance Categories: Submitted papers will be accepted as either Long Papers or Short Papers based on the outcome of the peer-review process.
  •Dual Submissions and Prior Publication: Papers submitted to CIFEr 2026 must be original work. We strictly prohibit dual submissions; papers that are currently under review at other conferences, journals, or any other publication venues will be rejected. Furthermore, papers that have already been published or accepted for publication elsewhere are not eligible for submission and will be immediately rejected. However, making a paper available on non-peer-reviewed preprint servers, such as arXiv or SSRN, is not considered prior publication and is perfectly acceptable.
  •Conflict of Interest (CoI): A COI occurs when a person’s objective judgment is — or is perceived by a reasonable observer to be — compromised by an existing relationship, affiliation, or connection to a person whose work they must evaluate. Individuals in such relationships should not be involved in peer review of, or making editorial decisions about, materials provided by the related parties. Specific examples of relationships that produce COIs include: (1) The lifelong relationship between Ph.D. student and Ph.D. supervisor; (2) Working closely together within the last 24 months or reasonably expected within the next year (e.g., at the same institution, company, or organizational team); (3) Recipients of joint funding or significant professional collaboration within the last 24 months or reasonably expected within the next year; (4) Joint authorship of an archival publication within the last 24 months or reasonably expected within the next year; (5) Personal or family relationships that would reasonably cause others to doubt impartiality; (6) Notable personal or professional rivalry/animosity (publicly known or not). Therefore, please enter your domain conflicts into Microsoft CMT.
  •Plagiarism and Originality (CrossCheck): All submitted papers will be screened for originality using the CrossCheck. IEEE policy strictly prohibits plagiarism and self-plagiarism. Any paper found to have high similarity with previously published work—including the authors' own work may be rejected without review.
  •Template: Please use the IEEE style files (double-column). LaTeX and Word templates are available on the IEEE website.
  •Format: Only PDF format will be accepted.
  •Page Limit: Maximum of 8 pages including figures, tables, and references.
    •Up to 2 extra pages (max 10 total) are allowed at a charge of JPY 16,000 per extra page.
  •No Page Numbers: Please do not include page numbers; these will be inserted during the final production.
Important Note: Violations of formatting or anonymity specifications may result in the immediate rejection of the paper.


Acknowledgments
The Microsoft CMT service is used for managing the peer-review process. This service is provided for free by Microsoft, including all expenses for Azure cloud services, software development, and support.

Reply all
Reply to author
Forward
0 new messages