TOPICS of interest: We invite the submission of original research contributions in the following areas, but also welcome any original contributions that may cross the boundaries among areas or point in other novel directions. In addition, BigComp 2025 encourages submissions about products, practices, and services in industry: In particular, we strongly encourage big data and smart computing specialists in industry to submit their papers as [Industrial track papers]. • Big data analytics and social media • Big data applications / big data as a service • Big data ecosystem • Bioinformatics, multimedia, smartphones, etc. • Cloud and grid computing for big data • Crowdsourcing and human-in-the-loop • Data mining and data science • Data and information quality • Disaster analysis • Infrastructure and platform for big data and smart computing • Knowledge graph, graph data management and mining • Machine learning and AI for big data • Machine learning and AI theory and fundamentals • Mobile communications and smart location-based services • Recommender systems • Search/retrieval and generation of big data • Security and privacy for big data • Smart computing models, tools, and devices • Techniques, models and algorithms for big data • Tools and systems for big data • Understanding multi-modal data • Big data in the era of LLMS Steering Committee: • Ho-Jin Choi, KAIST, Korea (Chair) • X. Sean Wang, Fudan University, China (Vice-Chair) • Jaideep Srivastava, University of Minnesota, USA (Secretary) • Wookey Lee, Inha University, Korea (Treasurer) • Chong-Kwon Kim, KENTECH, Korea (Advisor) • Jinho Kim, Kangwon National University, Korea • Masatoshi Yoshikawa, Osaka Seikei University, Japan • Xiaofang Zhou, HKUST, China • Kyuseok Shim, Seoul National University (ex-officio) • Wonjun Lee, Korea University (ex-officio) • Junping Du, Beijing University of Posts and Telecommunication, China • Young-Kuk Kim, Chungnam National University, Korea • JooYeoun Lee, Ajou University, Korea • Kazuyuki Shudo, Kyoto University, Japan • Herwig Unger, FernUniversität in Hagen, Germany