Humanist Discussion Group, Vol. 33, No. 433. Department of Digital Humanities, King's College London Hosted by King's Digital Lab www.dhhumanist.org Submit to: email@example.com Date: 2019-11-22 10:59:36+00:00 From: Willard McCarty
Subject: going wrong I'd like to know more about what we gain, how we learn, from going wrong, from error, specifically in the digital realm, and contrariwise what we lose in the drive to be exact, precise, right. Of course one might say that by computing anything, one goes wrong, in that modelling always simplifies and digitising renders discrete that which isn't to us otherwise. And then there are different ways of being right or getting things right. Is it a matter of how one looks? Recommendations of readings on the topic of error would be welcome. I already have the following: Mach, Knowledge and error (1976/1905) Mayo, Error and the growth of experimental knowledge (1996) Allchin, Epistemology of error (2000) Allchin, Sacred bovines: The ironies of misplaced assumptions (2017) Oberkampf et al, Error and uncertainty in modelling and simulation (2002) Buchwald and Franklin, Wrong for the right reasons (2005) Hon, Schickore and Steinle, Going amiss in experimental research (2009) Pettman, Human error (2011) Others? Many thanks. Yours, WM -- Willard McCarty (www.mccarty.org.uk/), Professor emeritus, Department of Digital Humanities, King's College London; Editor, Interdisciplinary Science Reviews (www.tandfonline.com/loi/yisr20) and Humanist (www.dhhumanist.org) _______________________________________________ Unsubscribe at: http://dhhumanist.org/Restricted List posts to: firstname.lastname@example.org List info and archives at at: http://dhhumanist.org Listmember interface at: http://dhhumanist.org/Restricted/ Subscribe at: http://dhhumanist.org/membership_form.php
Editor: Willard McCarty (King's College London, U.K.; Western Sydney University, Australia)
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