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Computing within Limits
Univ Calif Irvine, Dept Informat, Irvine, CA 92697 USA..
Univ Calif Irvine, Dept Informat, Irvine, CA 92697 USA.;Victoria Univ Wellington, Sch Informat Management, Wellington, New Zealand..
Westmont Coll, Dept Math & Comp Sci, Santa Barbara, CA USA..
NYU Abu Dhabi, Dept Comp Sci, Abu Dhabi, U Arab Emirates..
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2018 (English)In: Communications of the ACM, ISSN 0001-0782, E-ISSN 1557-7317, Vol. 61, no 10, p. 86-93Article, review/survey (Refereed) Published
Abstract [en]

COMPUTING RESEARCHERS AND practitioners are often seen as inventing the future. As such, we are implicitly also in the business of predicting the future. We plot trajectories for the future in the problems we select, the assumptions we make about technology and societal trends, and the ways we evaluate research. However, a great deal of computing research focuses on one particular type of future, one very much like the present, only more so. This vision of the future assumes that current trajectories of ever-increasing production and consumption will continue. This focus is perhaps not surprising, since computing machinery as we know it has existed for only 80 years, in a period of remarkable industrial and technological expansion. But humanity is rapidly approaching, or has already exceeded, a variety of planet-scale limits related to the global climate system, fossil fuels, raw materials, and biocapacity. (28,32,38) It is understandable that in computing we would not focus on limits. While planetary limits are obvious in areas such as extractive capacity in mining or fishing,

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Association for Computing Machinery (ACM), 2018. Vol. 61, no 10, p. 86-93
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URN: urn:nbn:se:kth:diva-237118DOI: 10.1145/3183582ISI: 000446173900022Scopus ID: 2-s2.0-85051061861OAI: oai:DiVA.org:kth-237118DiVA, id: diva2:1259620
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QC 201812030

Available from: 2018-10-30 Created: 2018-10-30 Last updated: 2025-05-05Bibliographically approved

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Pargman, Daniel

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