日本データベース学会の皆様 名古屋市立大学の小山と申します。 本日3月29日をDASFAA併設ワークショップERDSEのアブストラクト登録締切として おりましたが、 原稿締切の【4月5日（金）】までは、アブストラクトの事前登録が無くても論文 投稿を受付いたします。 ぜひ、投稿をご検討ください。 https://erdse2024.github.io/ ・データサイエンス、データ工学の論文を幅広く募集します。 ・若手研究者や学生の投稿を特に歓迎します。 ・短いWork-in-Progress論文のカテゴリもあります。 ・Post-ProceedingsをSpringer LNCSで発行予定です。 どうぞよろしくお願いいたします。 小山 --------------------- CALL FOR PAPERS The DASFAA 2024 Workshop on Emerging Results in Data Science and Engineering (ERDSE 2024) July 2nd, 2024 Nagaragawa Convention Center, Gifu City, Japan Various systems and services, including generative AI, built on massive amounts of data, are revolutionizing our society. For their development, not only technologies related to data science, such as machine learning, but also data engineering techniques for efficiently managing large amounts of data are essential. 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 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 Application Domains: Healthcare, Education, Mobility [Paper Categories] 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 16 pages (including references, appendices, etc.) in LNCS (Lecture Notes in Computer Science) format. The expected length is between 12 and 16 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 8 pages (including references, appendices, etc.) in LNCS ( Lecture Notes in Computer Science) format. The expected length is between 4 and 8 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 one of the following templates for the LNCS (Lecture Notes in Computer Science) format: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gui... [Publication] The papers accepted and presented at the DASFAA workshops will be published as post-proceedings in a volume of Springer's Lecture Notes in Computer Science (LNCS) series. [Important Dates] Paper submission deadline: April 5th, 2024 Acceptance notification: May 3rd, 2024 (Anywhere on Earth) [Organizers] Satoshi Oyama (Nagoya City University) Jiyi Li (University of Yamanashi) [Program Committee] Daisuke Kitayama, Kogakuin University Dominik Köppl, University of Yamanashi Hiroaki Shiokawa, University of Tsukuba Hiroaki Ohshima, University of Hyogo Makoto P. Kato, University of Tsukuba Masafumi Oyamada, NEC Jianwei Zhang, Iwate University Kazutoshi Umemoto, University of Tokyo Kento Sugiura, Nagoya University Kei Wakabayashi, University of Tsukuba Kejing Lu, Nagoya University Shoko Wakamiya, Nara Institute of Science and Technology Toshiyuki Shimizu, Kyushu University Yang Cao, Hokkaido University Yasuhiko Kanemasa, Fujitsu Yoshiyuki Shoji, Shizuoka University Yousuke Watanabe, Nagoya University Yuanyuan Wang, Yamaguchi University Yusuke Yamamoto, Nagoya City University Yuto Hayamizu, University of Tokyo Yuyang Dong, NEC [Contact] erdse2024@gmail.com [Web Page] https://erdse2024.github.io/