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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260520T134059Z
DTSTART;TZID=Europe/Berlin:20190701T050000
DTEND;TZID=Europe/Berlin:20190704T130000
SUMMARY:Statistical Reasoning and Scientific Error
UID:20260524T191826Z-iCalPlugin-Grails@philevents-web-6b96c54f56-bljdq
TZID:Europe/Berlin
LOCATION:Schloß Nymphenburg 1\, München\, Germany\, 80638
DESCRIPTION:<p>Statistical reasoning pervades experimental research\, but how to apply it is a longstanding issue of debate in philosophy and science. Recent studies that reveal a <anoreferrer" target="_blank">high prevalence of error</a> and <anoreferrer" target="_blank">lack of reproducibility</a> in published research highlight the urgency of developing sound foundations of statistical reasoning\, and finding techniques for detecting and correcting scientific error. So much the more as scientific error undermines the epistemic authority of science\, and the degree to which policy-makers trust scientific experts.</p>\n<p>The conference brings together an interdisciplinary group of researchers interested in issues of statistical reasoning and scientific error. It focuses on the foundations of statistical inference\, how statistical reasoning is applied in the sciences\, how statistical inference can correct scientific error and which proposals for reforming scientific method (including restructuring the peer review and publication system) can increase the reliability of published research.</p>\n<p>The conference is a joint event of the Munich-Sydney-Turin conference series in philosophy of science and the workshop series &ldquo\;Perspectives on Scientific Error&rdquo\;.</p>\n<p>Statistical reasoning pervades experimental research\, but how to apply it is a longstanding issue of debate in philosophy and science. Recent studies that reveal a <anoreferrer" target="_blank">high prevalence of error</a> and <anoreferrer" target="_blank">lack of reproducibility</a> in published research highlight the urgency of developing sound foundations of statistical reasoning\, and finding techniques for detecting and correcting scientific error. So much the more as scientific error undermines the epistemic authority of science\, and the degree to which policy-makers trust scientific experts.</p>\n<p>The conference brings together an interdisciplinary group of researchers interested in issues of statistical reasoning and scientific error. It focuses on the foundations of statistical inference\, how statistical reasoning is applied in the sciences\, how statistical inference can correct scientific error and which proposals for reforming scientific method (including restructuring the peer review and publication system) can increase the reliability of published research.</p>\n<p>The conference is a joint event of the Munich-Sydney-Turin conference series in philosophy of science and the workshop series &ldquo\;Perspectives on Scientific Error&rdquo\;. Previous editions of these workshops can be consulted <anoreferrer" target="_blank">here</a> (PSE1\, Tilburg 2017) and <anoreferrer" target="_blank">here</a> (PSE2\, Groningen 2018).</p>
ORGANIZER;CN=Mattia Andreoletti;CN=Mark Colyvan;CN=Paul Edmund Griffiths;CN=Stephan Hartmann;CN="Daniël Lakens";CN=Barbara Osimani;CN=Jan-Willem Romeijn;CN=Felipe Romero;CN=Jan Sprenger;CN=Noah van Dongen:
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