Dirk Riehle's Comments on Science and Academia

Latest in Comments on Science and Academia

  • Open collaborative data engineering [Upcoming talk]

    Open collaborative data engineering [Upcoming talk]

    After a couple of closed trials, I’m happy to report about a new talk on open collaborative data engineering. I will give the talk in the LATECE seminar at UQAM on Nov 29, 2023. Title: Open collaborative data engineering Abstract: The JValue project investigates open collaborative data engineering: We are trying to take the world…

  • Is science biased?

    Is science biased?

    tl;dr The individual researcher typically is, but science as a community of peers isn’t. (For caveats see bottom of post.) This post was inspired by a social media post by Prem Devanbu. Individual scientists naturally have opinions, ambitions, and hopes, and this influences the research questions they chase and the hypotheses they frame. Despite many…

  • The attack of the Ümlauts

    The attack of the Ümlauts

    Umlauts and other diacritics are on the rise in all the places they don’t belong. How else could you explain these photos I took, all within a short time frame?

  • Where’s the value in design science research?

    Where’s the value in design science research?

    Design science research is a well-established research framework to structure research work. There are a couple of variants of this framework, but they all share the same idea that we should solve current and relevant problems by constructing novel solutions to these problems while using appropriate research methods in both the identification of the problem…

  • Upcoming talks in September 2023

    Upcoming talks in September 2023

    I’ll be holding the following computer science colloquia talks in the upcoming weeks. All talks are free open to the public. On to previous talks.

  • Industry is where the research data is

    Industry is where the research data is

    Over on Facebook, Lionel Briand commented on how hard it is for an academic research group to compete with industrial organizations on research. This is certainly true for hot topics. Right now, with a burning hot AI summer, the research world is split into the have and have-nots (in terms of GPU resources), and this…