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Future Opportunities for Software in Research - 2022

12–13 May 2022
Max Planck Institute for Evolutionary Biology
Europe/Berlin timezone

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Session

Session 3

12 May 2022, 17:40
Lecture Hall (Max Planck Institute for Evolutionary Biology)

Lecture Hall

Max Planck Institute for Evolutionary Biology

August Thienemann Strasse 2 24306 Plön Germany

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  1. 22. Software in Reproducible Science (remote)
    Richard McElreath (MPI Evolutionary Anthropology)
    12/05/2022, 17:40
    remote

    Software is both a cause of unreliable research and part of the solution. The bulk of scientific research relies upon specialized software for data management and analysis. The bad news is that much of this software is poorly tested and documented, and researchers often use software in unreliable ways. Part of the problem is that researchers are being asked to perform a job they have not been...

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  2. 13. Automating Reproducibility - Challenges and what it takes to meet them (onsite)
    Aaron Peikert (MPIB Berlin), Andreas Brandmaier (MPIB Berlin), Maximilian Ernst (MPIB-Berlin)
    12/05/2022, 18:10
    onsite

    Computational reproducibility is a building block for transparent and cumulative science. It enables the
    originator and other researchers, on other computers and later in time, to reproduce and thus understand
    how results came about while avoiding various errors that may lead to erroneous reporting of statistical
    and computational results. But what does it take to make something...

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  3. 12. Writing Extensible Software for Researchers - Principles and an Example in Julia (onsite)
    Maximilian Ernst (MPIB-Berlin), Aaron Peikert (MPIB Berlin), Andreas Brandmaier (MPIB Berlin)
    12/05/2022, 18:30
    onsite

    Software for research has to keep up with the methodological developments in its
    field. All too often, only a handful of maintainers bear the load of maintaining and
    extending software. In consequence, they are swamped with demands for adding addi-
    tional features, resulting in long delays until new innovations become available.
    However, in many disciplines, methodological researchers are...

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  4. 28. Advantages of Using GitLab and DevOps for Developing Scientific Software (remote)
    Christine Muehleib (umsicht.fraunhofe.de)
    12/05/2022, 18:50
    remote
  5. 7. Accessing HPC resources via RESTful API (remote)
    Christian Köhler (GWDG)
    12/05/2022, 19:10
    remote

    The usual mode of accessing High Performance Computing (HPC) resources involves
    interactively connecting to the command-line interface and submitting job
    scripts to a job scheduler.

    Some services which provide a user interface by themselves (e.g. when working
    with graphical data) or services which require HPC resources as a compute
    backend for an already existing workflow engine,...

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  6. 4. How to make software outlive the research project (remote)
    Fabian Klötzl
    12/05/2022, 19:30
    remote

    A lot of good software is abandoned once the PhD
    student graduates or the programmer leaves the institute. Also
    maintaining software doesn’t generate papers which is the unit used to
    measure scientific prowess. I believe there are a few low-hanging fruits
    that scientific programmers can use to improve the state of research
    software development.

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  7. 29. Carpentries: The benefits of a collaborative approach to research software skills training (remote)
    Toby Hodges (Carpentries)
    12/05/2022, 19:45
    remote
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