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SIMBig 2020 : 7th International Conference on Information Management and Big Data | |||||||||||||||
Link: https://simbig.org/SIMBig2020/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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IMPORTANT UPDATE: Due to the current COVID-19 situation, SIMBig 2020 has been postponed **************** ====================================================================== SECOND CALL FOR PAPERS - SIMBig 2020 ====================================================================== SIMBig 2020 - 7th International Conference on Information Management and Big Data October 1-3, 2020 - Online Conference Free of Cost: no fees associated with Publication and Registration http://simbig.org/SIMBig2020/ ====================================================================== OVERVIEW ---------------------------------- SIMBig is one of the first conferences in Latin America grouping related areas such as Data Science, Machine Learning, Natural Language Processing, Semantic Web, Health Informatics, etc. DEVELOP INSIGHTS FOR THE COVID-19 CRISIS ---------------------------------- SIMBig 2020 encourages all studies that propose methods to extract meaningful insights of the COVID-19 crisis to influence policy and decision making in the public and private sector (specially in South America). SIMBig 2020 will award the top three accepted papers. KETYNOTE SPEAKERS ---------------------------------- - Jiang Bian Jiang Bian, University of Florida, USA - Fabien Gandon Fabien Gandon, Inria, France - Andrew Tomkins Andrew Tomkins, Google, USA PUBLICATION ---------------------------------- All accepted papers of SIMBig 2020 (tracks including) will be published with Springer CCIS Series. Publications of papers in Springer will be FREE of COST. IMPORTANT DATES ---------------------------------- - July 7, 2020 --) Full papers, short papers and demonstration due - August 15, 2020 --) Notification of acceptance - September 7, 2020 --) Camera-ready versions - 2020 October 1-3, 2020 --) Online conference TOPICS OF INTEREST ---------------------------------- SIMBig 2020 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas: - Data Science - Data Mining - Natural Language Processing - Semantic Web - Software Engineering - Data Privacy and Security - BioNLP and Healthcare Informatics - Information Retrieval - Machine Learning - Ontologies and Knowledge Representation - Social Networks and Social Web - Information Visualization - OLAP and Business intelligence - Spatiotemporal Databases - Data-driven Software Engineering - Data Privacy SPECIAL TRACKS ---------------------------------- SIMBig 2020 proposes two special tracks in addition to the main conference: - SNMAM - Social Network and Media Analysis and Mining - DSEco - Data Science and Economics - DISE - Data-drIven Software Engineering CONTACT ---------------------------------- SIMBig 2020 General Chairs - Juan Antonio Lossio-Ventura, Stanford University, USA (jlossio@stanford.edu) - Hugo Alatrista-Salas, Universidad del PacĂfico, Peru (h.alatristas@up.edu.pe) |
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