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BEGIN:VEVENT
DTSTART:20191122T170000Z
DTEND:20191122T180000Z
DTSTAMP:20191122T000000Z
SUMMARY:Research Reproducibility: Education and Practice
DESCRIPTION:“Reproducibility is important not because it ensures that the 
 results are correct\, but rather because it ensures transparency and gives 
 us confidence in understanding exactly what was done.” - Roger Peng 
 (2014)\, Johns Hopkins University\, Professor of Biostatistics. 
 (1)\n\nEnabling reproducible research - as in the ability to reproduce 
 reported results through the re-analysis of the original data and code - is 
 incredibly important but also not a simple thing to accomplish. When more 
 than 70% of researchers have tried and failed to reproduce another 
 scientist’s experiments (and more than half fail to reproduce their own) 
 (2)\, it is important to teach both new and experienced researchers how to 
 engage in data management practices and use new tools and methods that make 
 their research methods transparent\, and results reproducible. The Center 
 for Data and Visualization Sciences has invited a panel of four scholars to 
 discuss how to engage in reproducible research practices\, make use of 
 tools to aid in the process\, and help educate the next generation of 
 scholars.\n\nPanelists include:\n\n\n	Steven Grambow\, Ph.D\, Assistant 
 Professor of Biostatistics and Bioinformatics\n	Angela Zoss\, Ph.D\, 
 Assessment and Data Visualization Analyst\, Duke University 
 Libraries\n	Robert Schick\, Ph.D.\, Research Scientist\, Marine Science and 
 Conservation\, Nicholas School for the Environment\n	Maria Tackett\, 
 Ph.D.\, Assistant Professor of the Practice of Statistical 
 Science\n\n\nLunch will be 
 provided\n\n\n	https://simplystatistics.org/2014/06/06/the-real-reason-reproducible-research-is-important/ 
 \n	https://www.nature.com/news/1-500-scientists-lift-the-lid-on-reproducibility-1.19970 
 \n
LOCATION:Bostock 127 (The Edge Workshop Room)\, West Campus
ORGANIZER;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
CATEGORIES:Data and Visualization, Public Event
CONTACT;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
STATUS:CONFIRMED
UID:LibCal-5950945
URL:https://duke.libcal.com/calendar/events/reproducibility
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