Digitization as politics: Smart farming through the lens of weak and strong data
This paper offers an alternative approach for engaging sociologically, ontologically, and politically with digital farming platforms. A challenge faced by any approach looking to upend intellectual conventions, especially ontological ones, lies in the question of representation, namely, how do we ta...
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| Published in: | Journal of rural studies Vol. 91; pp. 208 - 216 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elmsford
Elsevier Ltd
01.04.2022
Elsevier Science Ltd |
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| ISSN: | 0743-0167, 1873-1392 |
| Online Access: | Get full text |
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| Abstract | This paper offers an alternative approach for engaging sociologically, ontologically, and politically with digital farming platforms. A challenge faced by any approach looking to upend intellectual conventions, especially ontological ones, lies in the question of representation, namely, how do we talk about digitization in novel theoretical ways using language rooted in more than two millennia of western human-centered thought? One way to deal with this challenge, the one adopted in this paper, involves decentering familiar terms and repurposing them. Thus, rather than organizing the argument around familiar terms like small and big data, I argue instead that we organize data-assemblages according to what they do, which makes this a political ontological project. To do this, I offer the relational predicate of weak data and strong data, suggesting that they are good to think with in this regard. The argument ultimately lands at a place for analyzing these platforms that offers the potential for critique and perhaps even a degree of optimism, as I suggest a framework for normatively evaluating these practices. The paper draws upon various empirical studies of digital agriculture conducted by the author, which include interviews with farmers, farm laborers, hacktivists, investors, and engineers from numerous countries and locales.
•Digital farming platforms ought to be judged by what they do.•The outcomes and impacts of Agriculture 4.0 are unevenly distributed.•More social science research is needed on the subject. |
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| AbstractList | This paper offers an alternative approach for engaging sociologically, ontologically, and politically with digital farming platforms. A challenge faced by any approach looking to upend intellectual conventions, especially ontological ones, lies in the question of representation, namely, how do we talk about digitization in novel theoretical ways using language rooted in more than two millennia of western human-centered thought? One way to deal with this challenge, the one adopted in this paper, involves decentering familiar terms and repurposing them. Thus, rather than organizing the argument around familiar terms like small and big data, I argue instead that we organize data-assemblages according to what they do, which makes this a political ontological project. To do this, I offer the relational predicate of weak data and strong data, suggesting that they are good to think with in this regard. The argument ultimately lands at a place for analyzing these platforms that offers the potential for critique and perhaps even a degree of optimism, as I suggest a framework for normatively evaluating these practices. The paper draws upon various empirical studies of digital agriculture conducted by the author, which include interviews with farmers, farm laborers, hacktivists, investors, and engineers from numerous countries and locales.
•Digital farming platforms ought to be judged by what they do.•The outcomes and impacts of Agriculture 4.0 are unevenly distributed.•More social science research is needed on the subject. This paper offers an alternative approach for engaging sociologically, ontologically, and politically with digital farming platforms. A challenge faced by any approach looking to upend intellectual conventions, especially ontological ones, lies in the question of representation, namely, how do we talk about digitization in novel theoretical ways using language rooted in more than two millennia of western human-centered thought? One way to deal with this challenge, the one adopted in this paper, involves decentering familiar terms and repurposing them. Thus, rather than organizing the argument around familiar terms like small and big data, I argue instead that we organize data-assemblages according to what they do, which makes this a political ontological project. To do this, I offer the relational predicate of weak data and strong data, suggesting that they are good to think with in this regard. The argument ultimately lands at a place for analyzing these platforms that offers the potential for critique and perhaps even a degree of optimism, as I suggest a framework for normatively evaluating these practices. The paper draws upon various empirical studies of digital agriculture conducted by the author, which include interviews with farmers, farm laborers, hacktivists, investors, and engineers from numerous countries and locales. |
| Author | Carolan, Michael |
| Author_xml | – sequence: 1 givenname: Michael surname: Carolan fullname: Carolan, Michael email: Michael.Carolan@colostate.edu organization: Professor of Sociology, Colorado State University, Fort Collins, Colorado, USA |
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| Keywords | Precision agriculture Automation Big data Robotics Agriculture 4.0 Responsible innovation |
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| SubjectTerms | Agriculture Agriculture 4.0 Alternative approaches Automation Big Data Conventions Digital agriculture Digitization Empirical analysis empirical research engineering engineers farm labor Farmers Farming farming systems Farms interviews Investors land languages Ontology Optimism politics Precision agriculture Responsible innovation Robotics rooting roots |
| Title | Digitization as politics: Smart farming through the lens of weak and strong data |
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