The BigComp 2027 Workshop on Emerging Results in Data Science and Engineering (ERDSE 2027)
Various systems and services, including generative AI, built on massive amounts of data, are revolutionizing our society.
Developing these systems requires not only data science technologies, such as machine learning and artificial intelligence, but also data engineering and computing technologies for efficiently managing, processing, and providing access to data across distributed, cloud, edge, and IoT environments.
In order for them to be accepted by society, various aspects of data management, such as privacy, security, and fairness, must also be taken into consideration.
This workshop aims to provide an opportunity for presentations and discussions, especially for young researchers and students, in the area of the convergence of data science and data engineering, where many new research topics and results are emerging.
The topics of the workshop include, but are not limited to:
Data Science and AI: Large Language Models (LLM), Explainable AI (XAI), Interpretable Machine Learning
Data Engineering and Databases: Big Data, Graph Data, Data Security, Data Privacy
Distributed Systems and Smart Computing: Distributed and decentralized systems, Cloud and edge computing, Internet of Things (IoT) and smart computing
Information Retrieval and Recommendation: Social Media, Information Credibility, Polarization and Echo Chambers
Multimedia Data: Media Understanding, AI Generated Content, Multimodal AI
Human Factors: Human Computation, Crowdsourcing, Human-in-the-Loop Methods, Bias and Fairness
Research Papers (*) (long presentation): They report significant and original results relevant to the scope of this workshop. We solicit innovative or thought-provoking work but they do not necessarily have to reach the level of completion. Each submitted paper should include an abstract up to 200 words and be no longer than 8 pages (including references, appendices, etc.) in IEEE format. The expected length is between 6 and 8 pages.
Work-in-progress papers (short presentation): They present the goals, challenges, and preliminary results of research work in progress. Each submitted paper should include an abstract up to 200 words and be no longer than 4 pages (including references, appendices, etc.) in IEEE format. The expected length is between 2 and 4 pages.
(*) Some of the papers submitted to the research paper category may be accepted as Work-in-progress papers and allotted to short presentation slots.
Paper Format
Paper submission must be in English.
There is no need for authors to mask their names and affiliations in the manuscript.
Submissions must be original (not previously published and not under review in other forums).
Please use the IEEE two-column conference paper format. Only electronic submissions in PDF format will be considered.
Publication
The papers accepted and presented at the BigComp workshops are expected to be published as post-proceedings and made available through IEEE Xplore (pending final confirmation).
Authors of accepted papers may choose between archival and non-archival publication, regardless of whether their submissions are categorized as Research Papers or Work-in-Progress Papers. Papers selected for archival publication will be included in the proceedings, while non-archival papers will be presented at the workshop without being included in the proceedings.
Note: Please choose the TRACK "Workshop #1 ERDSE". Please prefix your submission category [Research Paper] or [Work-in-Progress Paper] to the Title of Paper field in the submission page. For example, for a paper with title "Using LLMs for Fake News Detection",
- If you would like to submit it as a research paper, you have to put "[Research Paper] Using LLMs for Fake News Detection" into the Title of Paper field.
- Otherwise, if it is a work-in-progress paper, you have to put "[Work-in-Progress Paper] Using LLMs for Fake News Detection" into the Title of Paper field.
Important Dates
Abstract submission deadline: 2026.12.02
Paper submission deadline: 2026.12.04
Acceptance notification: 2026.12.14
(Anywhere on Earth)
Organizer
Jiyi Li (Hokkaido University)
Ryohei Banno (Hitotsubashi University)
Satoshi Oyama (Nagoya City University)
Program Committee
Yang Cao, Institute of Science Tokyo
Yuyang Dong, SB Intuitions Corp.
Makoto P. Kato, University of Tsukuba
Tomoya Kawakami, University of Fukui
Daisuke Kitayama, Kogakuin University
Kejing Lu, University of Yamanashi
Kimihiro Mizutani, Kindai University
Hiroaki Ohshima, University of Hyogo
Masafumi Oyamada, NEC Corporation
Shaowen Peng, Nara Institute of Science and Technology
Keigo Sakurai, Hokkaido University
Yuya Sasaki, Osaka University
Toshiyuki Shimizu, Kyushu University
Hiroaki Shiokawa, University of Tsukuba
Yoshiyuki Shoji, Shizuoka University
Kento Sugiura, Nagoya University
Shoko Wakamiya, Nara Institute of Science and Technology
