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DTSTART:20190310T070000
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DTSTART:20191103T060000
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UID:69d8b02fb9c89
DTSTART;TZID=America/Toronto:20200207T100000
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/statistics-and-actuarial-science/events/department
 -seminar-gabriel-becker-university-california
LOCATION:M3 - Mathematics 3 200 University Avenue West Room 3127 Waterloo O
 N N2L 3G1 Canada
SUMMARY:Department seminar by Gabriel Becker\, University of California Dav
 is
CLASS:PUBLIC
DESCRIPTION:THE EXTENDED REPRODUCIBILITY PHENOTYPE - RE-FRAMING AND GENERAL
 IZING\nCOMPUTATIONAL REPRODUCIBILITY\n\nComputational reproducibility has 
 become a crucial part of how data\nanalytic results are understood and ass
 essed both in and outside of\nacademia. Less work\, however\, has explored
  whether these strict\ncomputational reproducibility criteria are necessar
 y or sufficient\nto actually meet our needs as consumers of analysis resu
 lts. I will\nshow that in principle they are neither. I will present two\
 ninter-related veins of work. First\, I will provide a  conceptual\nrefr
 aming of the concepts of strict reproducibility\, and the actions\nanalys
 ts take to ensure it\, in terms of our ability to actually trust\nthe res
 ults and the claims about the underlying data-generating\nsystems they e
 mbody. Second\, I will present a generalized conception\nof reproducibily
  by introducing the concepts of Currency\,\nComparability and Completenes
 s and their oft-overlooked importance to\nassessing data analysis results
 .
DTSTAMP:20260410T080919Z
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