Big Data won’t feed the world: global agribusiness, digital imperialism, and the contested promises of a new Green Revolution View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-08-19

AUTHORS

David Boarder Giles, Victoria Stead

ABSTRACT

In the face of looming environmental crises and a swelling global population, Big Data’s acolytes envision a “digital revolution” as a solution for global hunger. Interrogating this promise, we argue that Big Data’s imagined futures articulate the realms of international development and smallholder agriculture in the Global South with an ongoing digital reorganisation of global capitalism—integrating farmers into new informational modes of production, and reshaping the nature of labour and human–environment relations in the process. This reorganisation must be located within a long history of crises and spatio-technical fixes for capital accumulation. More specifically, we situate the prefigurations of Big Data along a trajectory of capitalist technical innovations implicated in the propagation of colonial logics, particularly through the apparatuses of international development—for example, through the technical regimes of the “Green Revolution”. The rhetoric of Big Data and its applications within global food systems both reproduce earlier logics of primitive accumulation and colonial biopolitics, and extend them into new forms of digital imperialism that, we suggest, express incipient mutations in the nature of surplus value itself as it is retooled for the Anthropocene era. Big Data therefore portends novel forms of expropriation that are at once material and immaterial. More... »

PAGES

37-53

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10624-021-09631-8

DOI

http://dx.doi.org/10.1007/s10624-021-09631-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1140523024


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/16", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Studies in Human Society", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1601", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Anthropology", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "School of Humanities and Social Sciences, Deakin University, 221 Burwood Hwy, 3125, Burwood, VIC, Australia", 
          "id": "http://www.grid.ac/institutes/grid.1021.2", 
          "name": [
            "School of Humanities and Social Sciences, Deakin University, 221 Burwood Hwy, 3125, Burwood, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Giles", 
        "givenName": "David Boarder", 
        "id": "sg:person.016706043541.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016706043541.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Alfred Deakin Institute, Deakin University, 221 Burwood Hwy, 3125, Burwood, VIC, Australia", 
          "id": "http://www.grid.ac/institutes/grid.1021.2", 
          "name": [
            "Alfred Deakin Institute, Deakin University, 221 Burwood Hwy, 3125, Burwood, VIC, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stead", 
        "givenName": "Victoria", 
        "id": "sg:person.015543155655.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015543155655.87"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1057/978-1-137-50221-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018220977", 
          "https://doi.org/10.1057/978-1-137-50221-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1057/9781137478573_11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031111059", 
          "https://doi.org/10.1057/9781137478573_11"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-319-06245-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050434331", 
          "https://doi.org/10.1007/978-3-319-06245-7"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-08-19", 
    "datePublishedReg": "2021-08-19", 
    "description": "In the face of looming environmental crises and a swelling global population, Big Data\u2019s acolytes envision a \u201cdigital revolution\u201d as a solution for global hunger. Interrogating this promise, we argue that Big Data\u2019s imagined futures articulate the realms of international development and smallholder agriculture in the Global South with an ongoing digital reorganisation of global capitalism\u2014integrating farmers into new informational modes of production, and reshaping the nature of labour and human\u2013environment relations in the process. This reorganisation must be located within a long history of crises and spatio-technical fixes for capital accumulation. More specifically, we situate the prefigurations of Big Data along a trajectory of capitalist technical innovations implicated in the propagation of colonial logics, particularly through the apparatuses of international development\u2014for example, through the technical regimes of the \u201cGreen Revolution\u201d. The rhetoric of Big Data and its applications within global food systems both reproduce earlier logics of primitive accumulation and colonial biopolitics, and extend them into new forms of digital imperialism that, we suggest, express incipient mutations in the nature of surplus value itself as it is retooled for the Anthropocene era. Big Data therefore portends novel forms of expropriation that are at once material and immaterial.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s10624-021-09631-8", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1028963", 
        "issn": [
          "0304-4092", 
          "1573-0786"
        ], 
        "name": "Dialectical Anthropology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "46"
      }
    ], 
    "keywords": [
      "human-environment relations", 
      "international development", 
      "colonial biopolitics", 
      "colonial logics", 
      "Green Revolution", 
      "nature of labor", 
      "primitive accumulation", 
      "long history", 
      "revolution", 
      "technical regimes", 
      "Global South", 
      "environmental crisis", 
      "informational mode", 
      "imperialism", 
      "New Green Revolution", 
      "surplus value", 
      "Anthropocene era", 
      "acolytes", 
      "earlier logic", 
      "new forms", 
      "digital revolution", 
      "capital accumulation", 
      "crisis", 
      "global hunger", 
      "technical innovations", 
      "prefiguration", 
      "rhetoric", 
      "reorganisation", 
      "biopolitics", 
      "history", 
      "era", 
      "expropriation", 
      "south", 
      "realm", 
      "world", 
      "labor", 
      "global food system", 
      "logic", 
      "nature", 
      "novel form", 
      "agriculture", 
      "hunger", 
      "regime", 
      "future", 
      "form", 
      "relation", 
      "farmers", 
      "development", 
      "innovation", 
      "agribusiness", 
      "food systems", 
      "trajectories", 
      "promise", 
      "face", 
      "example", 
      "global population", 
      "materials", 
      "population", 
      "apparatus", 
      "process", 
      "fixes", 
      "production", 
      "big data", 
      "mode", 
      "values", 
      "data", 
      "accumulation", 
      "system", 
      "applications", 
      "solution", 
      "propagation", 
      "mutations", 
      "global agribusiness"
    ], 
    "name": "Big Data won\u2019t feed the world: global agribusiness, digital imperialism, and the contested promises of a new Green Revolution", 
    "pagination": "37-53", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1140523024"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10624-021-09631-8"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10624-021-09631-8", 
      "https://app.dimensions.ai/details/publication/pub.1140523024"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-06-01T22:22", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220601/entities/gbq_results/article/article_906.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s10624-021-09631-8"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10624-021-09631-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10624-021-09631-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10624-021-09631-8'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10624-021-09631-8'


 

This table displays all metadata directly associated to this object as RDF triples.

152 TRIPLES      22 PREDICATES      101 URIs      90 LITERALS      6 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10624-021-09631-8 schema:about anzsrc-for:16
2 anzsrc-for:1601
3 schema:author N45c01378e4104ddab704564070f1d5d3
4 schema:citation sg:pub.10.1007/978-3-319-06245-7
5 sg:pub.10.1057/978-1-137-50221-6
6 sg:pub.10.1057/9781137478573_11
7 schema:datePublished 2021-08-19
8 schema:datePublishedReg 2021-08-19
9 schema:description In the face of looming environmental crises and a swelling global population, Big Data’s acolytes envision a “digital revolution” as a solution for global hunger. Interrogating this promise, we argue that Big Data’s imagined futures articulate the realms of international development and smallholder agriculture in the Global South with an ongoing digital reorganisation of global capitalism—integrating farmers into new informational modes of production, and reshaping the nature of labour and human–environment relations in the process. This reorganisation must be located within a long history of crises and spatio-technical fixes for capital accumulation. More specifically, we situate the prefigurations of Big Data along a trajectory of capitalist technical innovations implicated in the propagation of colonial logics, particularly through the apparatuses of international development—for example, through the technical regimes of the “Green Revolution”. The rhetoric of Big Data and its applications within global food systems both reproduce earlier logics of primitive accumulation and colonial biopolitics, and extend them into new forms of digital imperialism that, we suggest, express incipient mutations in the nature of surplus value itself as it is retooled for the Anthropocene era. Big Data therefore portends novel forms of expropriation that are at once material and immaterial.
10 schema:genre article
11 schema:inLanguage en
12 schema:isAccessibleForFree false
13 schema:isPartOf N27b83263e7844ca5a16914bf248c585d
14 N31ebbb4dabcf498b9dd72139a66db251
15 sg:journal.1028963
16 schema:keywords Anthropocene era
17 Global South
18 Green Revolution
19 New Green Revolution
20 accumulation
21 acolytes
22 agribusiness
23 agriculture
24 apparatus
25 applications
26 big data
27 biopolitics
28 capital accumulation
29 colonial biopolitics
30 colonial logics
31 crisis
32 data
33 development
34 digital revolution
35 earlier logic
36 environmental crisis
37 era
38 example
39 expropriation
40 face
41 farmers
42 fixes
43 food systems
44 form
45 future
46 global agribusiness
47 global food system
48 global hunger
49 global population
50 history
51 human-environment relations
52 hunger
53 imperialism
54 informational mode
55 innovation
56 international development
57 labor
58 logic
59 long history
60 materials
61 mode
62 mutations
63 nature
64 nature of labor
65 new forms
66 novel form
67 population
68 prefiguration
69 primitive accumulation
70 process
71 production
72 promise
73 propagation
74 realm
75 regime
76 relation
77 reorganisation
78 revolution
79 rhetoric
80 solution
81 south
82 surplus value
83 system
84 technical innovations
85 technical regimes
86 trajectories
87 values
88 world
89 schema:name Big Data won’t feed the world: global agribusiness, digital imperialism, and the contested promises of a new Green Revolution
90 schema:pagination 37-53
91 schema:productId N39d33bf6e99a4fbcadb314987138eb37
92 N769b3055181c489ca57adea7f08714b0
93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1140523024
94 https://doi.org/10.1007/s10624-021-09631-8
95 schema:sdDatePublished 2022-06-01T22:22
96 schema:sdLicense https://scigraph.springernature.com/explorer/license/
97 schema:sdPublisher N14222ed3d85f43d38b491dfdd057e756
98 schema:url https://doi.org/10.1007/s10624-021-09631-8
99 sgo:license sg:explorer/license/
100 sgo:sdDataset articles
101 rdf:type schema:ScholarlyArticle
102 N14222ed3d85f43d38b491dfdd057e756 schema:name Springer Nature - SN SciGraph project
103 rdf:type schema:Organization
104 N27b83263e7844ca5a16914bf248c585d schema:issueNumber 1
105 rdf:type schema:PublicationIssue
106 N31ebbb4dabcf498b9dd72139a66db251 schema:volumeNumber 46
107 rdf:type schema:PublicationVolume
108 N39d33bf6e99a4fbcadb314987138eb37 schema:name dimensions_id
109 schema:value pub.1140523024
110 rdf:type schema:PropertyValue
111 N45c01378e4104ddab704564070f1d5d3 rdf:first sg:person.016706043541.24
112 rdf:rest Na25170fe8b7540d9818d3a65bdbc1295
113 N769b3055181c489ca57adea7f08714b0 schema:name doi
114 schema:value 10.1007/s10624-021-09631-8
115 rdf:type schema:PropertyValue
116 Na25170fe8b7540d9818d3a65bdbc1295 rdf:first sg:person.015543155655.87
117 rdf:rest rdf:nil
118 anzsrc-for:16 schema:inDefinedTermSet anzsrc-for:
119 schema:name Studies in Human Society
120 rdf:type schema:DefinedTerm
121 anzsrc-for:1601 schema:inDefinedTermSet anzsrc-for:
122 schema:name Anthropology
123 rdf:type schema:DefinedTerm
124 sg:journal.1028963 schema:issn 0304-4092
125 1573-0786
126 schema:name Dialectical Anthropology
127 schema:publisher Springer Nature
128 rdf:type schema:Periodical
129 sg:person.015543155655.87 schema:affiliation grid-institutes:grid.1021.2
130 schema:familyName Stead
131 schema:givenName Victoria
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015543155655.87
133 rdf:type schema:Person
134 sg:person.016706043541.24 schema:affiliation grid-institutes:grid.1021.2
135 schema:familyName Giles
136 schema:givenName David Boarder
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016706043541.24
138 rdf:type schema:Person
139 sg:pub.10.1007/978-3-319-06245-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050434331
140 https://doi.org/10.1007/978-3-319-06245-7
141 rdf:type schema:CreativeWork
142 sg:pub.10.1057/978-1-137-50221-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018220977
143 https://doi.org/10.1057/978-1-137-50221-6
144 rdf:type schema:CreativeWork
145 sg:pub.10.1057/9781137478573_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031111059
146 https://doi.org/10.1057/9781137478573_11
147 rdf:type schema:CreativeWork
148 grid-institutes:grid.1021.2 schema:alternateName Alfred Deakin Institute, Deakin University, 221 Burwood Hwy, 3125, Burwood, VIC, Australia
149 School of Humanities and Social Sciences, Deakin University, 221 Burwood Hwy, 3125, Burwood, VIC, Australia
150 schema:name Alfred Deakin Institute, Deakin University, 221 Burwood Hwy, 3125, Burwood, VIC, Australia
151 School of Humanities and Social Sciences, Deakin University, 221 Burwood Hwy, 3125, Burwood, VIC, Australia
152 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...