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Humanist Archives: Nov. 23, 2019, 8:25 a.m. Humanist 33.433 - going wrong? getting it right?

                  Humanist Discussion Group, Vol. 33, No. 433.
            Department of Digital Humanities, King's College London
                   Hosted by King's Digital Lab
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        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)


Many thanks.

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)

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