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DTSTAMP:20230831T095754Z
LOCATION:Davos
DTSTART;TZID=Europe/Stockholm:20230626T103000
DTEND;TZID=Europe/Stockholm:20230626T112000
UID:submissions.pasc-conference.org_PASC23_sess103@linklings.com
SUMMARY:IK01 - Anti Patterns of Scientific Machine Learning to Fool the Ma
 sses: A Call for Open Science
DESCRIPTION:Keynote\n\nAK01 - Anti Patterns of Scientific Machine Learning
  to Fool the Masses: A Call for Open Science\n\nAn anti-pattern is a frequ
 ently occurring pattern that is ineffective and risks being counterproduct
 ive. The term comes from software engineering, inspired by the classic boo
 k “Design Patterns” (highlighting desirable and effective patterns for cod
 e). Over the years, the term has spread ...\n\n\nLorena Barba (George Wash
 ington University)\n\nSession Chair: Michael A. Heroux (Sandia National La
 boratories, St. John's University)
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