Reproducibility and Generalizability in Data-enabled Discovery

June 6, 2018 2:00 pm

Associate Professor Victoria Stodden will be a keynote speaker at the 2018 IEEE Data Science Workshop, which will be held June 4-6 in Lausanne, Switzerland.

Reproducibility and Generalizability in Data-enabled Discovery

Wednesday, June 6th, 14:00 – 15:00

As computation becomes central to scientific research and discovery – bringing us the field of Data Science – new questions arise regarding the implementation, dissemination, and evaluation of methods that underlie scientific claims. I present a framework for conceptualizing the affordances that support Data Science including computational reproducibility, transparency, and generalizability of findings. For example, reproducibility in computational research can be interpreted most narrowly as a simple trace of computational steps that generate scientific findings, and most expansively as an entirely independent implementation of an experiment that tests the same hypothesis as previously published work. Standards for determining a scientific finding are necessarily adapting to computationally- and data-enabled research.  Finally, the social context for these innovations raises important questions regarding incentives to engage in new research practices and the ethics of these practices themselves.


SwissTech Convention Center Website

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