8–12 Mar 2027
Alte Mensa
Europe/Berlin timezone

Submissions

The submissions are done via Easychair, by following the link https://easychair.org/conferences/?conf=stacs2027 

Format:

  • Authors are invited to submit an extended abstract or a full paper with at most 15 pages; this page limit excludes the title page, the references section, and a possible appendix. The title page should contain the title of the paper and the abstract, but no author information. The first section of the paper should start on the next page, and the appendix, if any, should also start on the next page after the bibliography.In preparing submissions, the usage of the LIPIcs style file is mandatory; no changes to font size, page geometry, etc. are permitted. Please refer to LIPIcs author instructions. Submissions submitted after the deadline will not be considered, and submissions not adhering to the expected format risk rejection without consideration of the content.
  • Submissions should be made to appropriate tracks. The PCs reserve the right to reassign a paper to a different track, if deemed necessary.
  • The extended abstract should contain a succinct statement of the considered issues and of their motivation, a summary of the main results, and a brief explanation of their significance, accessible to non-specialist readers. This should be followed by a rigorous derivation of the claimed results. Proofs omitted due to space constraints should be put into an appendix, to be read by the program committee members at their discretion. It is allowed and encouraged to provide the anonymized full version of the paper as the appendix.
  • Simultaneous submission to other conferences with published proceedings or to journals is not allowed. PC members are allowed to submit their works as well, except for PC chairs.                                                           


Double-blind reviewing:

  • STACS 2027 will employ a lightweight double-blind reviewing process: submissions should not reveal the identity of the authors in any way. The names of the authors will be revealed to the PC-members of the track where the paper is submitted, but not to any external sub-reviewers, in order to make the detection of potential conflicts of interest more effective.
  • The purpose of the double-blind reviewing is to help reviewers come to an initial judgment about the paper without bias, not to make it impossible for them to discover the authors if they were to try. Nothing should be done in the name of anonymity that weakens the submission or makes the job of reviewing the paper more difficult. In particular, important references should not be omitted or anonymized.
  • In addition, authors are encouraged to disseminate their ideas or draft versions of their paper as they normally would (e.g., give talks on their research ideas). In particular, authors are strongly encouraged to post their submitted papers on the web, upload them to arXiv or any public repository.


Rebuttal:                                             

  • There will be a rebuttal period for authors. Authors will receive the reviews of their submissions and have a few days to prepare and submit rebuttals. These rebuttals become part of the PC discussions, but entail no specific responses. Rebuttals will be handled through EasyChair.                                      


Information on the use of generative AI (including LLMs):

  • STACS submissions will have to follow the rules set out in the ACM policy on authorship
  • Moreover, the use of AI tools for conducting research must be explicitly disclosed and discussed in all submitted papers, with their specific uses described in detail. The authors of a submission will be held responsible and accountable for any problematic content contained in the respective submission, regardless of its source.
  • Reviewers are asked to adhere to the LIPIcs rules regarding the usage of generative AI (https://drops.dagstuhl.de/docs/gen-ai) and are fully responsible for the contents of their reviews. PC members and subreferees must preserve confidentiality of the submitted material; in particular, the usage of external AI tools should be avoided.