Complementary social science? Quali-quantitative experiments in a Big Data world

Big Data and Society

Volumn 1, Issue 2, 2014, Pages

  Blok, Anders ^a   Pedersen, Morten Axel ^a  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Big Data critique; computational social science; method devices; Principle of complementarity; quali quantitative methods; social science experiments

Indexed keywords

EID: 85008973294     PISSN: None     EISSN: 20539517     Source Type: Journal    
DOI: 10.1177/2053951714543908     Document Type: Note

References (18)

1. Anderson C (2008) The end of theory: The data deluge makes the scientific method obsolete. Wired Magazine, 16.07, 23 June.
2. Barad K, (2011) Erasers and erasures: Pinch’s unfortunate ‘uncertainty principle’. Social Studies of Science 41(3): 443–454.
3. Boellstorff T (2013) Making big data, in theory. First Monday 18(10). Available at: http://firstmonday.org/ojs/index.php/fm/article/view/4869/3750 (accessed 31 July 2014).
4. Bohr N (1957[1938]) Atomfysik og menneskelig erkendelse. Copenhagen: Schultz Forlag.
5. Boyd D, Crawford K, (2012) Critical questions for big data. Information, Communication & Society 15(5): 662–679.
6. Creswell JW, (2011) Controversies in mixed methods research. In: Denzin NK, Lincoln YS, (eds) The SAGE Handbook of Qualitative Research, 4th ed. London: SAGE Publications, pp. 269–283.
7. Holbraad M, Pedersen MA and Viveiros de Castro E (2013) The politics of ontology: Anthropological positions. (Theorizing the contemporary). Cultural Anthropology. Available at: www.culanth.org/fieldsights/462-the-politics-of-ontology-anthropological-positions (accessed 7 July 2014).
8. Kockelman P, (2013) The anthropology of an equation. Sieves, spam filters, agentive algorithms, and ontologies of transformation. HAU – Journal of Ethnographic Theory 3(3): 33–61.
9. Kovanen L, Karsai M, Kaski K, et al. (2011) Temporal motifs in time-dependent networks. Available at: http://arxiv.org/abs/1107.5646 (accessed 7 July 2014).
10. Latour B, Jensen P, Venturini T, (2012) ‘The whole is always smaller than its parts’ – A digital test of Gabriel Tarde’s monads. British Journal of Sociology 63(4): 590–615.
11. Lazer D, Pentland A, Adamic L, (2009) Computational social science. Science 323: 721–723.
12. Pinch T, (2011) Karen Barad, quantum mechanics, and the paradox of mutual exclusivity. Social Studies of Science 41(3): 431–441.
13. Riles A, (1998) Infinity within the brackets. American Ethnologist 25(3): 378–398.
14. Ruppert E, Law J, Savage M, (2013) Reassembling social science methods: The challenge of digital devices. Theory, Culture & Society 30(4): 22–46.
15. Savage M, Burrows R, (2007) The coming crisis of empirical sociology. Sociology 41(5): 885–899.
16. Stoller P (2013) Big data, thick description and political expediency. Huffington Post, posted 16 June 2013. Available at: www.huffingtonpost.com/paul-stoller/big-data-thick-descrption_b_3450623.html (accessed 7 July 2014).
17. Stopczynski A, Sekara V, Sapiezynski P, (2014) Measuring large-scale social networks with high resolution. PLoS ONE 9(4): e95978.
18. Wang T (2013) Big data needs thick data. Ethnography Matters, posted 13 May 2013. Available at: http://ethnographymatters.net/2013/05/13/big-data-needs-thick-data/ (accessed 7 July 2014).