Thirty-Second Annual ACM/IEEE Symposium on
Logic in Computer Science (LICS)
20–23 June 2017 • Reykjavik
Provisional Call for Papers
LICS 2017 will be hosted in Reykjavik during 20-23 June 2017.
The LICS Symposium is an annual international forum on theoretical and
practical topics in computer science that relate to logic, broadly
construed. We invite submissions on topics that fit under that rubric.
Suggested, but not exclusive, topics of interest include:
automata theory, automated deduction, categorical models and logics,
concurrency and distributed computation, constraint programming,
constructive mathematics, database theory, decision procedures,
description logics, domain theory, finite model theory, formal aspects
of program analysis, formal methods, foundations of computability,
games and logic, higher-order logic, lambda and combinatory calculi,
linear logic, logic in artificial intelligence, logic programming,
logical aspects of bioinformatics, logical aspects of computational
complexity, logical aspects of quantum computation, logical
frameworks, logics of programs, modal and temporal logics, model
checking, probabilistic systems, process calculi, programming language
semantics, proof theory, real-time systems, reasoning about security
and privacy, rewriting, type systems and type theory, and
Instructions to Authors
Authors are required to submit a paper title and a short abstract of
about 100 words in advance of submitting the extended abstract of the
paper. The exact deadline time on these dates is given by anywhere on
Titles and Short Abstracts Due3 January 2017
Full Papers Due9 January 2017
Author Feedback/Rebuttal Period28 February – 4 March 2017
Author Notification21 March 2017
Final Versions Due for Proceedings18 April 2017
Early Registration DeadlineTBC 2017
Conference20–23 June 2017
Deadlines are firm; late submissions will not be considered. All
submissions will be electronic
The format for submissions will be announced in due course.
The extended abstract must be in English and provide sufficient detail
to allow the program committee to assess the merits of the paper. It
should begin with a succinct statement of the issues, a summary of the
main results, and a brief explanation of their significance and
relevance to the conference and to computer science, all phrased for
the non-specialist. Technical development directed to the specialist
should follow. References and comparisons with related work must be
included. (If necessary, detailed proofs of technical results may be
included in a clearly-labeled appendix, to be consulted at the
discretion of program committee members.) Submissions not conforming
to the above requirements will be rejected without further
consideration. Paper selection will be merit-based, with no a priori
limit on the number of accepted papers. Papers authored or co-authored
by members of the program committee are not allowed.
Results must be unpublished and not submitted for publication
elsewhere, including the proceedings of other symposia or workshops.
The program chair must be informed, in advance of submission, of any
closely related work submitted or about to be submitted to a
conference or journal. Authors of accepted papers are expected to sign
copyright release forms. One author of each accepted paper is expected
to present it at the conference.
A session of short presentations, intended for descriptions of student
research, works in progress, and other brief communications, is
planned. These abstracts will not be published. Dates and guidelines
will be posted on the conference website.
Kleene Award for Best Student Paper
An award in honor of the late Stephen C. Kleene will be given for the
best student paper(s), as judged by the program committee. The 2017
edition of the award is sponsored by the European Association for
Theoretical Computer Science (EATCS).
Full versions of up to three accepted papers, to be selected by the
program committee, will be invited for submission to the Journal of
the ACM. Additional selected papers will be invited to a special issue
of Logical Methods in Computer Science.
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