Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2022 | 14 | 38-51

Article title

Modelowanie pandemii w narracjach spekulatywnych: «„Andromeda” znaczy śmierć» (1969) Michaela Crichtona i „The Andromeda Evolution” (2019) Daniela H. Wilsona

Content

Title variants

EN
Modelling pandemics in speculative fabulations: Michael Crichton's "The Andromeda Strain" (1969) and Daniel H. Wilson's "The Andromeda's Evolution" (2019)

Languages of publication

Abstracts

EN
Covid-19 pandemic has brought public attention to digital methods of modeling contagion, which have been used not only to predict the future of the infection, but also assess its scope of impact on population and the chances for achieving herd immunity. As a result new outbreak narratives come into being in which algorithmic data processing gains agency in shaping the dynamics of contagion. His unprecedented reliance on modeling tools has decidedly changed the way we think about epidemic, conceptualized now as a phenomenon which to an equal extent is shaped by natural, cultural and technological factors. He paper argues that the major outlet for these new metaphors of contagion, which Milton Singer termed syndemic, are speculative narratives combining fiction with scientific and medical data as well as insights into the functioning of the digital modeling apparatus. His aspect of the current pandemic provides a good vantage point for taking a closer look at a handful of speculative narratives which bring to the foreground the relationship between modeling and social impact of contagion. By reading Michael Crichton’s technothriller The Andromeda Strain (1969) and its sequel, Daniel H. Wilson’s The Andromeda Evolution (2019), I intend to demonstrate how speculative fabulations engages and contests methods of contagion modeling, bringing into play other forms of non-scientiIc knowledge and practices of survival.

Year

Issue

14

Pages

38-51

Physical description

Dates

published
2022

Contributors

  • Uniwersytet Jagielloński

References

  • Giattino Charlie. 2020. „How epidemiological models of COVID-19 help us estimate the true number of infections”. Online: https://ourworldindata.org/covid-models. Data dostępu: 21.01.2022.
  • Kucharski Adam. 2020. Prawa pandemii. Skąd się biorą epidemie i czemu wygasają. Maksymowicz-Hamann Jowita, tłum. Kraków: Znak.
  • „It’s about being «about right» now, rather than perfectly right too late” [wywiad z A. Kucharskim dla czasopisma „The Biologist”], Online: https://thebiologist.rsb.org. uk/biologist-covid-19/it-s-about-being-about-right-now-rather-than-perfectly-righttoo-late. Data dostępu: 16.01.2022.
  • Pastore y Pionti, Ana et al. 2019. Charting the Next Pandemic. Modeling Infectious Disease Spreading in the Data Science Age. Cham: Springer.
  • Adams Vincanne, Murphy Michelle, Clarke Adele E. 2009. „Anticipation: Technoscience, life, affect, temporality”. Subjectivity (28): 246-265.
  • Hacking Ian. 2015. Biopower and the Avalanche of Printed Numbers, 65-81. W: Cisney Vernon W., Morar Nicolae, red. Biopower. Chicago: University of Chicago Press.
  • Hacking Ian. 1990. The Taming of Chance. Cambridge: Cambridge University Press.
  • Płonowska Ziarek Ewa. 2020. „Triple Pandemics: COVID-19, Anti-Black Violence, and Digital Capitalism”, Philosophy Today (4): 1-5.
  • O’Neil Cathy. 2016. Weapons of Math Destruction. Washington: Crown Books.
  • O’Neil Cathy. 2020. „10 Reasons to Doubt the Covid-19 Data”. Online:https://static.ecestaticos.com/file/811/7d0/4a0/8117d04a0fbba5a5568d58799ebd231d.pdf. Data dostępu: 17.01.2022.
  • Wald Priscilla. 2008. Contagious. Cultures, Carriers, and the Outbreak Narrative. Durham and London: Duke University Press.
  • Wilson Daniel H. 2019. The Andromeda Evolution. New York: HarperCollins.
  • Crichton Michael. 1996. „Andromeda” znaczy śmierć [1969]. Mastalerz Marek, tłum. Warszawa: Wydawnictwo Amber.
  • Wells Sarah. 2020. „Robots Have Fallen Short During Covid-19 And Science Fiction Predicted It”. Online: https://www.inverse.com/innovation/covid-robots-sciencefiction. Data dostępu: 10.01.2022.
  • Mil Nabier et al. 2021. „Understanding the andromeda strain – The role of cytokine release, coagulopathy and antithrombin III in Sars-CoV2 critical illness”. Blood Review (45).
  • Keck Frédéric, Lachenal Guillaume. 2019. Simulations of Epidemics, 25-42. W: Kelly Ann H., Keck Frédéric, Lynteris Christos, red. The Anthropology of Epidemics. London: Routledge.
  • Kahn Herman. 1962. Thinking About the Unthinkable. Princeton, NJ: Princeton University Press.
  • Nassim Nicholas Taleb. 2020. Czarny łabędź. O skutkach nieprzewidywalnych zdarzeń [2007]. Siara Olga, tłum. Warszawa: Zysk i S-ka.
  • McKenzie Jon. 2011. Performuj albo… Od dyscypliny do performansu [2001]. Kubikowski Tomasz, tłum. Kraków: Universitas.
  • Povinelli Elizabeth. 2016. Geontologies. Requiem to Late Liberalism. Durham: Duke University Press.
  • Latour Bruno. 2010. Splatając na nowo to, co społeczne [2005]. Derra Aleksandra, Abriszewski Krzysztof, tłum. Kraków: Universitas.
  • Singer Merrill. 2014. Anthropology of Infectious Disease. Walnut Creek: Left Coast Press.

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
2215888

YADDA identifier

bwmeta1.element.ojs-doi-10_26881_jk_2022_14_03
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.