The Science Perl Journal Homepage 1025x875

For important announcements, please join our mailing list.

Science Track at The Perl & Raku Conference
June 25 - 27, 2024
Las Vegas, Nevada, USA


You may submit your Science Track abstracts here! Don't wait, do this today! Prior registration to the Perl Conference is not a condition for acceptance, however individuals with accepted papers and posters are expected to register for and attend the Conference in person*. You may register for the Perl & Raku Conference here. (Note: in the past, the Conference registration fee has been waived for speakers; it is expected that this will be the case again this year, but at this time there are no guarantees.)

* let us know if this is impossible, exceptions may be considered in some extenuating circumstances

Please note it is our hope to be able to accept as many papers and posters as possible, as such our editorial process is designed to be very friendly.


  • Abstract submission deadline: April 5th, 2024 (23:59:59 UTC)
  • Abstract acceptance emails sent: April 15th, 2024 
  • Draft full paper due: May 15th, 2024
  • Draft full paper feedback emails sent: May 31, 2024
  • Final full paper due: June 7th, 2024
  • Final papers approved: June 15th, 2024

For more info, contact:  science AT perlcommunity DOT org

What is the Science Track?

The 2024 Perl & Raku Conference is including a new third track for presentations and posters focused on science, technology, engineering, and mathematics topics in industry, government, and academia. This track is in addition to the traditional two tracks, which are focused on Perl & Raku, respectively.

Authors submitting a poster are strongly encouraged to give a short-form lightning talk instead of a full-length talk. Authors submitting a paper are required to give a full-length talk at the conference.

The Science Track is looking for submissions related to the fields of

  • General computational and data-intensive fields, including but not limited to:
    • Astronomy / Astrophysics
    • Atmospheric science, Hydrological science
    • Biology, Biomedicine, Bioinformatics, and Epidemiology
    • Computer Science
    • Chemistry and Cheminformatics
    • Geographic information science (GIS) and Spatial Analysis
    • Linguistics and Natural Language Processing (NLP)
    • Statistics
    • Materials Science
    • Library and Information Science
    • Digital Humanities
  • Mathematics,
  • Engineering,
  • High-Performance Computing (HPC)
  • Data Science and
    • Data Engineering,
    • Artificial Intelligence,
    • Machine Learning (including deep learning)
    • Knowledge Discovery and Data Mining
    • Big Data
  • Industrial applications including
    • Finance
    • Health and Medical
    • Education

We are looking for various categories of talks and posters including

  • Applications: End-user facing tools that use Perl or Raku which are relevant for science and data fields.
  • Libraries: Perl or Raku tools for computational scientists, developers, and analysts.
  • Research: Peer-reviewed research that uses Perl or Raku for any part of the analysis pipeline.

Suggested topics include:

  • Data Acquisition and Laboratory Instruments
  • Reproducibility, Workflow Management, Data Management, and Data Formats
  • Statistical Methods
  • Scientific Visualization
  • Imaging and Signal Processing
  • Time-Series Analysis

This track will provide a professional and academic venue for presenting computational work and methods. If you are unsure of whether your submission will qualify for this track, please contact the Program Committee.


The Paper or Poster

Our program committee will carefully evaluate each submission’s overall quality, research scope, and potential appeal to the Perl & Raku community, and check its technical content and pedagogical approach.

Track Proceedings

The papers and posters will be collected into an open-access Conference Track Proceedings which will be available online.

Submission guidelines

  • Full-length talk presentation guidelines
    • 15 to 20 slides, bullet points only, 30- to 50-point font
    • When publishing the presentation artifacts online, please upload a repository with any code examples and how to run them. These can either be a set of scripts with documentation for installation and running or as a notebook documentation format such as Jupyter Notebooks (for example with the IPerl kernel). This is to make it easier for the code to be runnable outside of the presentation.
  • Paper guidelines
    • 15 to 20 pages, single-spaced, 12-point font
    • 20 to 40 references, half academic papers, half other resources
  • Poster guidelines
    • 36” x 48” or 42” x 56” size
    • 20 to 40 references, half academic papers, half other resources

Tips for Submitting a Proposal

When preparing your abstract, please bear in mind that the Science Perl Editorial Review Subcommittee is comprised of community members with a very wide range of scientific backgrounds, and any of them may be assigned to review your abstract and subsequent papers. When describing the goals of your paper, as well as the tools and approaches you use, write your abstract in such a way that it is informative to people working in the same or related fields, and understandable to a scientifically literate lay reader.

  • Submit your proposal early.
  • In your abstract, be sure to include answers to some basic questions:
    • Who is the intended audience for your talk?
    • What, specifically, will attendees learn from your talk?
  • Ensure that your talk will be relevant to a broad range of people. If your talk is on a particular package or piece of software, it should be useful to more than a niche group.
  • Include links to source code, articles, blog posts, or other writing that adds context to the presentation.
  • If you’ve given a talk, tutorial, or other presentation before, include that information as well as a link to slides or a video if they’re available.
  • Your talk should not be a commercial for your company’s product. However, you are welcome to talk about how your company solved a problem, or notable open-source projects that may benefit attendees.