SIMBig 2021 - CFP: October 10 - Hard deadline | 8 Keynote Speakers | Springer CCIS

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Juan Antonio Lossio-Ventura

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Oct 3, 2021, 8:42:54 PM10/3/21
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[Apologies for cross-posting]

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Due to multiple requests: SIMBig 2021 announces an 
Extension and Hard CFP deadline: October 10 
*******

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HARD Deadline: October 10 - CALL FOR PAPERS - SIMBig 2021
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SIMBig 2021 - 8th International Conference on Information Management and Big Data
December 1-3, 2021 - Online conference 

http://simbig.org/SIMBig2021/
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OVERVIEW
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SIMBig 2021 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. For instance, AI has been used to predict ICU transfers, detect patients at risk of diseases, etc.


DEVELOP INSIGHTS FOR THE COVID-19 CRISIS
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SIMBig 2021 encourages studies as response to COVID-19: methods to leverage data and evidence in the fight against the global pandemic, with an emphasis on late-breaking topics such as vaccination, long-COVID, mental health, the global response, and preparing for the next pandemic.


KETYNOTE SPEAKERS
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  • Marinka Zitnik Marinka Zitnik, Harvard University, USA
  • Natasha Noy Natasha Noy, Google, USA
  • Andrei Broder Andrei Broder, Google, USA
  • Jiawei Han Jiawei Han, University of Illinois, USA
  • Vipin Kumar Vipin Kumar, University of Minnesota, USA
  • Jian Pei Jian Pei, Simon Fraser University, Canada
  • Francisco Pereira Francisco Pereira, National Institutes of Health, USA
  • Jean Vanderdonckt Jean Vanderdonckt, Université catholique de Louvain, Belgium

PUBLICATION
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All accepted papers of SIMBig 2021 (tracks including) will be published with Springer CCIS Series.


Springer

IMPORTANT DATES
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  • October 10, 2021 --> Papers submission deadline
  • November 10, 2021 --> Notification of acceptance
  • November 24, 2021 --> Camera-ready versions
  • December 1-3, 2021 --> Online conference

TOPICS OF INTEREST
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SIMBig 2021 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
  • Software Engineering
  • Data Privacy and Security
  • Data-driven Software Engineering
  • Information Retrieval
  • Ontologies and Knowledge Representation
  • Social Networks and Social Web
  • Information Visualization
  • OLAP and Business intelligence

SPECIAL TRACKS
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SIMBig 2021 proposes three special tracks in addition to the main conference:

  • SNMAM - Social Network and Media Analysis and Mining 
  • BIOMEDS - Biomedical Data Science 
  • DISE - Data-drIven Software Engineering 

CONTACT
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SIMBig 2021 General Chairs

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