• Preselected papers:
  • Thomas Guyet (Lacodam). NegPSpan: efficient extraction of negative sequential patterns with embedding constraints, KDD 2018. View Paper
  • David Gross-Amblart (Druid). Overlapping Hierarchical Clustering (OHC), IDA 2020. View Paper

• Group work evaluation criteria

1. Nicolas Rougier
   • Title: Let’s redo Science!
   • Abstract:  ReScience C is a platinum open-access peer-reviewed journal that targets computational research and encourages the explicit replication of already published research, promoting new and open-source implementations in order to ensure that the original research is reproducible. You can read about the ideas behind ReScience C in the article “Sustainable computational science: the ReScience initiative” [1] To achieve this goal, the whole publishing chain is radically different from other traditional scientific journals. ReScience C lives on GitHub where each new implementation of a computational study is made available together with comments, explanations and tests. Each submission takes the form of an issue that is publicly reviewed and tested in order to guarantee that any researcher can re-use it. If you ever replicated computational results (or failed at) from the literature in your research, ReScience C is the perfect place to publish your new implementation. ReScience C is collaborative and open by design. Everything can be forked and modified. Don’t hesitate to write a submission, join us and to become a reviewer.  [1] Rougier, Hinsen et al, “Sustainable computational science: the ReScience initiative”, PeerJ Computer Science, 2017. DOI: 10.7717/peerj-cs.142
2. Arnaud Legrand
   • Title: Using Laboratory Notebooks to Improve the Reproducibility of your Research
   • Abstract: Although laboratory notebooks are commonly used in experimental science to document hypothesis, experimental conditions and initial analysis, the physical version (a stack of numbered pages) is often inappropriate to modern practices which involve a lot of digital information like data, computations and visualizations. Many so-called computational notebooks (e.g., Jupyter or Rstudio with the Rmd format) have thus emerged and provide literate programming capabilities although they do not necessarily encourage journaling as it is commonly done with classical laboratory notebooks. In this presentation, I will quickly demo some of these tools, present how I use them on a daily basis as an electronic laboratory notebook, and how they allow me to write reproducible articles which comprise all the important research information to the readers.
3. Questions.
4. Olivier Collin
   • Title: Reproducibility and Data Management on the GenOuest Platform
   • Abstract: In the context of FAIR data and Open Science in Bioinformatics, new environments arose that will help scientists  improve the reproducibility of their computational workflows. During these last years, GenOuest has built environments to help scientists address reproducibility challenges.
5. Round table: Reproducibility Policy of Research Teams
   • Speakers: Olivier Dameron (Dyliss), Charles Deltel ( Genscale), Luis Galarraga (Lacodam), Francois Goasdoue (Shaman), David Gross-Amblard (Druid), Fabrice Legeai ( Genscale).

• Objective: Replicate one of the selected articles with a focus on reproducibility (+1 quality indicator).

• Panelists: Dominique Lavenier (National Committee Section 6 and CID51), Elisa Fromont (Scientific Council INS2I), Alexandre Termier (Team Leader), Mireille Ducassé (ex-CNU), Arnaud Martin (ex-CNU).

• How Did the Article Submission Process Go?

https://www.wonder.me/r?id=tpod7z-7kjq7 (Use Firefox or Chrome)

• Specialized session
• Non-specialized session