[Apologies for cross-posting]
====================================================================== CALL FOR PAPERS - SIMBig 2023 ======================================================================
SIMBig 2023 - 10th International Conference on Information Management and Big Data Where: Tecnológico de Monterrey, Mexico City, Mexico When: August 30 - September 01, 2023 Website: https://simbig.org/SIMBig2023/ https://simbig.org/SIMBig2023/
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OVERVIEW
SIMBig 2023 seeks to present new methods of Artificial Intelligence (AI), Data Science, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data.
KEYNOTE SPEAKERS
Mona Diab, Meta AI, USA Carlos Coello, TEC Monterrey, Mexico Finale Doshi-Velez, Harvard University, USA Huan Liu, Arizona State University, USA
IMPORTANT DATES
June 24, 2023 --> Full papers and short papers due July 28, 2023 --> Notification of acceptance August 11, 2023 --> Camera-ready versions August 30 - September 01, 2023 --> Conference held in Mexico DF, Mexico
PUBLICATION
All accepted papers of SIMBig 2023 (tracks including) will be published with Springer CCIS Series https://www.springer.com/series/7899 Best papers of SIMBig 2023 (tracks including) will be selected to submit an extension to be published in the Springer SN Computer Science Journal. https://www.springer.com/journal/42979
TOPICS OF INTEREST
SIMBig 2023 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas:
Artificial Intelligence Data Science Machine Learning Natural Language Processing Semantic Web Healthcare Informatics Biomedical Informatics Data Privacy and Security Information Retrieval Ontologies and Knowledge Representation Social Networks and Social Web Information Visualization OLAP and Business intelligence Data-driven Software Engineering
SPECIAL TRACKS
SIMBig 2023 proposes 5 special tracks in addition to the main conference:
SNMAM https://simbig.org/SIMBig2023/en/snmam.html - Social Network and Media Analysis and Mining ANLP - Applied Natural Language Processing CIIN - Cybersecurity and IoT for Intelligent Networks DISE - Data-drIven Software Engineering EE-AI-HPC - Efficiency Enhancement for AI and High-Performance Computing
CONTACT
SIMBig 2023 General Chairs
Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio@nih.gov mailto:juan.lossio@nih.gov) Hugo Alatrista-Salas, Pontificia Universidad Católica del Perú, Peru (halatrista@pucp.pe mailto:halatrista@pucp.pe)
