[Apologies for cross-posting]
NEW DATES - CFP - SIMBig 2023
SIMBig 2023 - 10th International Conference on Information Management and Big Data Where: Instituto Politécnico Nacional, Mexico DF, MEXICO When: October 18 - 20, 2023 Website: https://simbig.org/SIMBig2023/
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OVERVIEW
SIMBig 2023 seeks to present new methods of Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data.
KEYNOTE SPEAKERS (to be confirmed)
 Mona Diab, Meta AI, USA  Finale Doshi-Velez, Harvard University, USA  Huan Liu, Arizona State University, USA
IMPORTANT DATES
July 24, 2023 --> Full papers and short papers due August 28, 2023 --> Notification of acceptance September 10, 2023 --> Camera-ready versions October 18 - 20, 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 (to be confirmed).
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 Big/Masive Data Data Science Machine Learning Deep Learning Natural Language Processing Semantic Web Data-driven Software Engineering Data-driven software adaptation 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 Crowdsourcing
SPECIAL TRACKS
SIMBig 2023 proposes six special tracks in addition to the main conference:
ANLP https://simbig.org/SIMBig2023/en/anlp.html - Applied Natural Language Processing DISE https://simbig.org/SIMBig2023/en/dise.html - Data-Driven Software Engineering EE-AI-HPC https://simbig.org/SIMBig2023/en/eeaihpc.html - Efficiency Enhancement for AI and High-Performance Computing SNMAM https://simbig.org/SIMBig2023/en/snmam.html - Social Network and Media Analysis and Mining
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)
