Main Conference


Call for Papers

All submissions will be reviewed by at least three program Committee members. The submissions will be judged on originality, relevance, technical quality and presentation. SIMBig is one of the first conferences grouping related areas such as Data Science, Big Data, NLP and Semantic Web, etc, in Latin America. We would like to thank you in advance for your scientific contribution to the 8th SIMBig and look forward to having the opportunity to showcase and disseminate your research.

Scope and Topics

Authors are invited to submit original and innovative papers that break new ground, present insightful results based on your experience in Data Science. SIMBig 2021 has a broad scope, and specific topics of interest include (but are not limited to):

  • Artificial Intelligence
  • Data Science
  • Big Data
  • Data Mining
  • Natural Language Processing
  • Semantic Web
  • Bio NLP, Healthcare Informatics
  • Text Mining
  • Information Retrieval
  • Machine Learning
  • Ontologies, Knowledge Representation, Linked Open Data
  • Social Networks, Social Web, and Web Science
  • Information visualization
  • OLAP, Data warehousing, Business intelligence
  • Spatiotemporal Data
  • Agent-based Systems
  • Constraints, Satisfiability, and Search
Long Papers
Long Papers are limited to a total of 13-16 pages, including all content and references, and must be in PDF formatted with the Springer publication format.
Short Papers
Short Papers are limited to a total of 7-12 pages, including all content and references, and must be in PDF formatted with the Springer publication format.

Paper Submission Guidelines

All research submissions must be in English.
Submissions must be in PDF, formatted with the Springer Publications format. For details on the Springer style, see here.

Easychair Submissions Website

Submissions for SIMBig 2021 here.

Organizers

Juan Antonio Lossio-Ventura

Juan Antonio Lossio-Ventura

Ph.D. in Computer Science

National Institutes of Health

Bethesda, USA

Hugo Alatrista-Salas

Hugo Alatrista-Salas

Ph.D. in Computer Science

Pontificia Universidad Católica del Perú

Lima, PERU