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TZID:Europe/Berlin
TZUNTIL:20200329T010000Z
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DTSTART:20171029T030000
TZOFFSETFROM:+0200
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RDATE:20181028T030000
RDATE:20191027T030000
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DTSTAMP:20260805T124105Z
DESCRIPTION:An essential element of scientific research is reproducibility 
 of results. Modern science renders an increased complexity of measurement 
 and analytical methods\, which not necessarily\, but often\, lead to limit
 ed transparency\, and selective reporting. Such situation promotes growing
  numbers of irreproducible data. On the contrary\, distributed analyses en
 vironments\, developed by researchers and set up in a bottom-up approach c
 an forge a shared vision of data handling\, reproducibility\, and trust. T
 he statistical programming environment R has already paved a way\, facilit
 ating developments of data-driven and open-source tools. Luminescence dati
 ng techniques are amongst the most important and flexible geochronological
  tools in Quaternary Science\, constituting a cornerstone of the Earth and
  Archaeological Sciences. By using examples from the field of luminescence
  (dating)\, the presentation will shed light on the question &ldquo\;Why r
 esearchers develop software?&rdquo\;\, and how R and the emerging field of
  Data Science may lead to better reproducibility of scientific results.\n&
 nbsp\;\n*** Invited by Christoph Schmidt\, Geomorphology\, as Internationa
 l Junior Research Fellow of the University of Bayreuth
DTSTART;TZID=Europe/Berlin:20180517T120000
DTEND;TZID=Europe/Berlin:20180517T133000
SUMMARY:Dr. Sebastian Kreutzer\, IRAMAT-CRP2A\, UM5060\, CNRS – Université 
 Bordeaux Montaigne\, France (Homepage): Towards reproducible research: Dat
 a Science\, R\, and  why researchers develop software.
TRANSP:TRANSPARENT
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