IEEE BigData

2026 IEEE International Conference on Big Data

IEEE BigData 2026 High School Symposium

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We are delighted to announce the 3rd High School Symposium, to be held as part of the IEEE BigData2026 Conference. This symposium aims to provide a platform for young researchers to showcase their innovative work in the field of data mining and related disciplines.

Why Participate in this Symposium?

  • Present your research to an international audience at one of the premier data mining conferences.
  • Compete for Outstanding Paper Awards, Runner-Up Awards, and Rising Star Awards honoring exceptional student contributions.
  • Interact directly with top AI researchers, industry innovators, and NSF Program Directors.

Program Agenda

TBD

Parent Panel — Panelists

TBD

Poster Presentation

TBD

Scope of Topics

We invite submissions of original research papers from undergraduate and high school students on topics related to data mining, including but not limited to:

Topics of Interest
  1. Foundations, algorithms, models, and theory of data mining, including big data mining
  2. Machine learning, deep learning, and statistical methods for big data
  3. Mining heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data
  4. Data mining systems and platforms for analyzing big data, including methods for parallel and distributed data mining, federated learning, and their efficiency, scalability, security, and privacy
  5. Data mining for modeling, visualization, personalization, and recommendation
  6. Data mining for cyber-physical systems and complex, time-evolving networks
  7. Data mining with large language models
  8. Novel applications of data mining in data science, including big data analysis in social sciences, physical sciences, engineering, life sciences, climate science, web, marketing, finance, precision medicine, health informatics, and other domains

Submitted papers should present novel ideas, methodologies, algorithms, or applications in the realm of data mining. Papers will be evaluated based on their technical quality, novelty, relevance, and clarity of presentation.

Eligibility

  • High school students at the time of submission are eligible to submit papers as first authors.
  • Each submission must have at least one student author, who should be the presenter if the paper is accepted.
  • Co-authorship with faculty members or researchers is allowed, but the student must be the primary contributor to the work.

In-Person Policy

TBD

Submission Format Requirements

  • Submissions must adhere to the IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to “formatting instructions” below: https://www.ieee.org/conferences/publishing/templates.html).
  • Undergraduate student research papers should not exceed 6 pages, including all figures, tables, and references.
  • High school student research papers should not exceed 5 pages, including all figures, tables, and references.
  • Please highlight whether the first author is a high school or an undergraduate student in the author affiliation of your submitted paper.

Publication Ethics and Dual Submission Policy

We uphold the highest standards of academic integrity and ethical research conduct. All authors must ensure that their submissions fully comply with the following guidelines.

Originality and Dual Submission: Submitted manuscripts must represent original work that has not been submitted or published elsewhere. Dual submission—submitting the same or substantially similar content to multiple venues concurrently— is strictly prohibited and constitutes a violation of publication ethics and integrity.

Subsequent Journal Submission: If authors wish to submit an extended version of their published work to a journal after conference publication (e.g., IEEE journals), they must clearly disclose that a preliminary version has been published. Transparency with journal editors and reviewers is required. Any subsequent submission to another venue must include significant new contributions, such as expanded experiments, novel theoretical insights, or additional methodological developments. Minor revisions or incremental changes are not sufficient to qualify as a new work.

Ethical Responsibility: Authors are responsible for maintaining ethical standards in all aspects of the publication process, including authorship, data integrity, and proper citation of prior work. Violations may lead to retraction, notification of the authors’ institutions, and disqualification from future submissions.

Important Dates

  • Paper Submission Deadline: September 20 2026
  • Notification of Acceptance: October 9,2026
  • Camera-Ready Paper Submission: October 24, 2026
  • Symposium Date: TBD (some day between Dec 14-17, 2026)

Venue & Hotels

IEEE BigData 2026 will be held in-person at the Sheraton Phoenix Downtown, 340 N 3rd St, Phoenix, AZ 85004. Please check:https://bigdataieee.org/BigData2026/attending/venue/

How to Submit

Open Submission Portal

  • The review process is single-blind (reviewers anonymous; authors visible to reviewers).
  • All papers accepted by this symposium will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference
  • Each accepted paper must have at least one author registered and present in person during the symposium day.

Camera-Ready Instructions

TBD

Program Co-Chairs

Portrait of Kunpeng Liu
Kunpeng Liu
Assistant Professor
Clemson University
Portrait of Huazheng Wang
Huazheng Wang
Assistant Professor
Oregon State University