Information for Authors

The organizers of IDEAS 2025 invite original papers (not submitted elsewhere in parallel) describing results that broadly belong to this list of topics. Both short and long paper submissions are accepted.

LONG papers can be:

  1. Regular research papers, reporting novel, solid research findings within the scope of the conference, typically but not exclusively found in proposing new models, querying or data handling methods, algorithms, data structures, and system architectures for the management of data;
  2. Experimental re-evaluation papers, assessing previously published research results in terms of (i) performance evaluation for algorithms and systems, or (ii) assessment of the application for methodologies, with the contribution of the paper being found (i) in the evaluation findings and (ii) in the discussion of strong and weak aspects of the algorithm/system/method being assessed.

SHORT papers can be:

  1. Early findings/work-in-progress reports for prompt dissemination and discussion of early research results that include early experimental findings and implementations, with an emphasis on (i) the description of the early findings, (ii) the possibilities they present, and (iii) the difficulties being faced towards full fruition;
  2. Vision papers discuss possibilities and challenges in exploring radically new system architectures or methodologies for data management in important areas related to the conference's scope or areas that are currently considered outside the conference's scope but hold the potential to become relevant.

 

Paper Submission Guidelines and Publisher

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.

All papers of SIMBig 2024 will be published with Springer CCIS series (Communications in Computer and Information Science) [To Be Confirmed]

 

Microsoft CMT Submissions Website

All the papers should be submitted via CMT at the following link: https://cmt3.research.microsoft.com/IDEAS2025/