Conference Banner

Call for Workshop Proposals

2025 IEEE International Conference on Big Data (IEEE BigData 2025)
https://bigdataieee.org/BigData2025/
Dec 8-11, 2025, Macau, China

The Program Committees of the 2025 IEEE International Conference on Big Data (IEEE BigData 2025) invite proposals for Workshops. Selected workshops will hold a central position within the larger conference, which will bring together top academic and industrial researchers from all over the world to exchange cutting edge research ideas in Big Data research, development and practice. Within these fields, workshops at Big Data form crucial focal points for emerging communities and forums for the examination of new ideas.

Here are a summary of the conferences in previous years:

The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data.

The 2025 IEEE International Conference on Big Data (IEEE BigData 2025) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest research in Big Data Research, Development, and Applications.

Workshop organizers will be responsible for advertising the workshop, forming the program committees, reviewing and selecting the papers, and guaranteeing a high quality worthy of the prestige and breadth of the Conference. All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference.

The workshop organizers will also have the discretion of editing selected papers (after their expansion and revision) into books or special journal issues. Workshops should cover at least a single session (6 regular papers). The workshop organizers should ensure registration and presence of authors of accepted papers.

Workshop Topics

Each workshop subject will focus on new research challenges and initiatives in Big Data. The workshops should provide an informal and vibrant forum for researchers and industry practitioners to share their research results and practical development experiences in Big Data research, development and practice. Workshop topics may be narrow, e.g., Clouding Computing/Grid Computing/Stream Computing for Big Data; Big Data stream Mining, Big Graph Data Mining, or broad, e.g., Big Data Foundations , Big Data management, Big Data Mining and Searching, Data Eco-System, Big Data Application, Foundation Models etc (Pls refer to the IEEE Big Data 2025 http://bigdataieee.org/BigData2025/ for more possible workshop topics). Prospective workshop organizers are encouraged to contact workshop chairs for feedback.

Workshop Style
Important Dates

May 25, 2025: Workshop proposal submission due - submit to:
https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=ProW
June 5, 2025: Notification to workshop proposers
July 5, 2025: Each workshop organizer sends out Call for Workshops Papers


Guidelines for Workshop Proposals

Proposals for 2025 IEEE Big Data Workshops should contain the following components.

1. Workshop Title (e.g., Visualization and Analytics for Big Data)
2. Introduction to workshop (a few sentences about the background, importance, purpose, interests, etc. of workshop)
3. Research topics included in the workshop (list a number of interesting topics or areas covered by workshop)
4. Important dates (These dates are for your reference except the Camera-ready submission date, Please do not change the camera-ready date)
Oct 1 2025: Due date for full workshop papers submission
Nov 4 2025: Notification of paper acceptance to authors
Nov 23 2025: Camera-ready of accepted papers
Dec 5 - 8 2025: Workshops
5. Program Chairs or co-chairs: (1-3 experts in the research areas of workshop)
6. Program Committee Members: (at least 5 experts in the research areas)
7. Invited keynote speakers (optional)

Workshop Proposal Submission

https://wi-lab.com/cyberchair/2025/bigdata25/scripts/submit.php?subarea=ProW

Workshop Co-Chairs

Michiaki Tatsubori, IBM Japan, mich@jp.ibm.com
Chen Zhen, Baylor University, USA, Chen_Zhao@baylor.edu
Dawei Zhou, Virginia Tech, USA, zhoud@vt.edu