2,006
Views
2
CrossRef citations to date
0
Altmetric
Review Article

Lakatos revisited: Innovation and ‘Novel facts’ as a foundational logic for the social sciences in an era of ‘Post-truth’ and pseudoscience

ORCID Icon | (Reviewing editor)
Article: 1672489 | Received 07 Jul 2019, Accepted 22 Sep 2019, Published online: 06 Oct 2019

References

  • Bannister, R. C. (1987). Sociology and scientism: The American quest for objectivity, 1880–1940. Chapel Hill: University of North Carolina Press.
  • Ben-David, J., & Collins, R. (1996). Social factors in the origins of a new science. The case of psychology. American Sociological Review, 31(4), 451–18.
  • Best, M., & Neuhauser, D. (2004). Ignaz Semmelweis and the birth of infection control. Quality and Safety in Health Care, 13, 233–234.
  • Birkinshaw, J., Healey, M. P., Suddaby, R., & Weber, K. (2014). Debating the future of management research. Journal of Management Studies, 51(1), 38–55.
  • Bonney, R., Cooper, C. B., Dickinson, J., Kelling, S., Phillips, T., Rosenberg, K. V., & Shirk, J. (2009). Citizen science: A developing tool for expanding science knowledge and scientific literacy. BioScience, 59(11), 977–984.
  • Brabham, D. C. (2008). Crowdsourcing as a model for problem solving: An introduction and cases. Convergence, 14(1), 75–90. doi:10.1177/1354856507084420
  • Brown, J. (2012). Harnessing the power of the crowd. Public CIO, 10(2), 16–21.
  • Bunge, M. (1984). What is pseudoscience. The Skeptical Inquirer, 9(1), 36–47.
  • Burrell, G., & Morgan, G. (1979). Sociological paradigms and organisational analysis. London: Heinemann.
  • Callaghan, C. W. (2014a). Solving Ebola, HIV, antibiotic resistance and other challenges: The new paradigm of probabilistic innovation. American Journal of Health Sciences, 5(2), 165–178.
  • Callaghan, C. W. (2014b). Crowdfunding to generate crowdsourced R&D: The alternative paradigm of societal problem solving offered by second generation innovation and R&D. The International Business & Economics Research Journal, 13(6), 1499–1513.
  • Callaghan, C. W. (2015). Crowdsourced ‘R&D’ and medical research. British Medical Bulletin, 115, 1–10.
  • Callaghan, C. W. (2016a). Disaster management, crowdsourced R&D and probabilistic innovation theory: Toward real time disaster response capability. International Journal of Disaster Risk Reduction, 17, 238–250.
  • Callaghan, C. W. (2016b). Citizen science and biomedical research: Implications for bioethics theory and practice. Informing Science: the International Journal of an Emerging Transdiscipline, 19, 325–344.
  • Callaghan, C.W. (2018). Surviving a technological future: technological proliferation and modes of discovery. Futures, 104, 100-116.
  • Campanario, J. M. (2009). Rejecting and resisting Nobel class discoveries: Accounts by Nobel Laureates. Scientometrics, 81(2), 549–565.
  • Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105.
  • Chesbrough, H. (2011). Pharmaceutical innovation hits the wall: How open innovation can help. Forbes, 11(April), 2015.
  • Cowen, T. (2011). The great stagnation: how america ate all the low-hanging fruit of modern history, got sick and will (eventually) feel better. Penguin: New York.
  • Dadkhah, M., Lagzian, M., & Borchardt, G. (2018). Identity theft in the academic world leads to junk science. Science and Engineering Ethics, 24(1), 287–290. doi:10.1007/s11948-016-9867-x
  • De Long, J. B., & Lang, K. (1992). Are all economic hypotheses false? Journal of Political Economy, 100(6), 1257–1272. doi:10.1086/261860
  • Fenton, E., Chillag, K., & Michael, N. L. (2015). Ethics preparedness for public health emergencies: Recommendations form the Presidential Bioethics Commission. The American Journal of Bioethics, 15(7), 77–79. doi:10.1080/15265161.2015.1054162
  • Freeman, R. E. (1984). Strategic Management: A stakeholder approach. Boston: Pitman.
  • Frickel, S., & Gross, N. (2005). A general theory of scientific/intellectual movements. American Sociological Review, 70, 204–232. doi:10.1177/000312240507000202
  • Funtowicz, S. O., & Ravetz, J. R. (1994). Uncertainty, complexity and post-normal science. Environmental Toxicity and Chemistry, 12(12), 1881–1885. doi:10.1002/etc.5620131203
  • Giannelli, P. C. (1993). Junk science: The criminal cases. Journal of Criminal Law & Criminology, 84, 105. doi:10.2307/1143887
  • Gieryn, T. F. (1983). Boundary-work and the demarcation of science from non-science: Strains and interests in professional ideologies of scientists. American Sociological Review, 48(6), 781–795. doi:10.2307/2095325
  • Gordon, R. (2014). The demise of us economic growth: restatement, rebuttal and reflections. NBER Working Paper No. 19895.
  • Grasela, T. H., & Slusser, R. (2014). The paradox of scientific excellence and the search for productivity in pharmaceutical research and development. Clinical Pharmacology & Therapeutics, 95(5), 521–527. doi:10.1038/clpt.2013.242
  • Hagan, E. (1962). On the theory of social change: How economic growth begins. Homewood, Ill.: Dorsey Press.
  • Hansson, S. O. (2009). Cutting the Gordian knot of demarcation. International Studies in the Philosophy of Science, 23(3), 237–243. doi:10.1080/02698590903196007
  • Hansson, S. O. (2017). Science and Pseudo-science. In E. N. Zalta Ed., The standford encylopedia of philosophy. Retrieved from https://plato.stanford.edu/archives/sum2017/entries/pseudo-science/
  • Hayden, E. C. (2014). Technology: The $1,000 genome. Nature, 507, 294–295. doi:10.1038/507294a
  • House, R. J., Hanges, P. J., Javidan, M., Dorfman, P. W., & Gupta, V. (eds). (2004). Culture, leadership and organizations: The GLOBE study of 62 societies. Thousand Oaks, CA: Sage.
  • Iannaccone, L. R. (1992). Reducing free-riding in cults, communes, and other collectives. Journal of Political Economy, 100(2), 271–291. doi:10.1086/261818
  • Janis, I. L. (1971). Groupthink. Psychology Today, 43–46, 74–76.
  • Jones, B.F. (2009). The burden of knowledge and the 'death of the renaissance man'. Is Innovation Getting Harder? The Review Of Economic Studies, 76, 283-317.
  • Knorr-Cetina, K. (1999). Epistemic cultures: How the sciences make knowledge. Cambridge, MA: Harvard University Press.
  • Kortum, S. (1997). Research, patenting, and technological change. Econometrica, 65(6), 1389-1419.
  • Kuhn, T. S. (1970). The Structure of Scientific Revolutions (2nd ed.). Chicago: University of Chicago Press.
  • Lakatos, I. (1978). Science and pseudoscience. Philosophical Papers, 1, 1–7.
  • Lewandowsky, S., Ecker, U. K., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition, 6(4), 353–369. doi:10.1016/j.jarmac.2017.07.008
  • Mainous, A. G. (2018). Perspectives in primary care: Disseminating scientific findings in an era of fake news and science denial. The Annals of Family Medicine, 16(6), 490–491. doi:10.1370/afm.2311
  • McIntyre, L. (2018). Post-truth. Cambridge: MIT Press.
  • McNally, J. (2003). The demise of pseudoscience. The Scientific Review of Mental Health Practices, 2(2), 96–117.
  • Munos, B. (2009). Lessons from 60 years of pharmaceutical innovation. Nature Reviews Drug Discovery, 8, 959–968. doi:10.1038/nrd2961
  • Nattrass, N. (2008). AIDS and the scientific governance of medicine in post-apartheid South Africa. African Affairs, 107(427), 157–176. doi:10.1093/afraf/adm087
  • Neimark, B., Childs, J., Nightingale, A. J., Cavanagh, C. J., Sullivan, S., Benjaminsen, T. A., … Harcourt, W. (2019). Speaking power to “post-truth”: Critical political ecology and the new authoritarianism. Annals of the American Association of Geographers, 109(2), 613–623. doi:10.1080/24694452.2018.1547567
  • Peters, M. A. (2018). Education in a post-truth world. In Peters, M.A., Rider, S., Hyvonen, M., & Besley, T (Eds.). Post-Truth, Fake News (pp. 145-150). Singapore: Springer.
  • Peterson, D. (2015). All that is solid: Bench-building at the frontiers of two experimental sciences. American Sociological Review, 80(6), 1201–1225. doi:10.1177/0003122415607230
  • Rider, S., & Peters, M. A. (2018). Post-truth, fake news: Viral modernity and higher education. In Peters, M.A., Rider, S., Hyvonen, M., & Besley, T. (Eds.). In Post-truth, fake news (pp. 3–12). Springer.
  • Rothbert, D. (1990). Demarcating genuine science from pseudoscience. In P. Grim (Ed.), Philosophy of science and the occult (pp. 111–122). Albany: SUNY Press.
  • Scannell, J.W., Blanckley, A., Boldon, H., & Warrington, B. (2012). Diagnosing the decline in pharmaceutical r&d efficiency. Nature Reviews Drug Discovery, 11, 191–200.
  • Schwartz, S. H. (1992). Universals in the content and structure of values: Theory and empirical tests in 20 countries. In M. Zanna (Ed.), Advances in experimental and social psychology (Vol. 25, pp. 1–65). New York: Academic Press.
  • Searle, J. (1990). The storm over the university. The New York Review of Books. Retrieved from http://www.ditext.com/searle/searle1.html
  • Segerstrom, P.S. (1997). Endogenous growth without scale effects. The American Economic Review, 88(5), 1290-1310.
  • Sokal, A., & Bricmont, J. (1998). Fashionable nonsense. New York: Picador.
  • Sokal, A. D. (1996). A physicist experiments with cultural studies. Lingua Franca, 6(4), 62–64.
  • Still, A., & Dryden, W. (2004). The social psychology of ‘pseudoscience’: A brief history. Journal for the Theory of Social Behaviour, 34(3), 265–290. doi:10.1111/jtsb.2004.34.issue-3
  • Thagard, P. R. (1978). Why astrology is a pseudoscience. In P. D. Asquith & I. Hacking (Editors). Proceedings of the 1978 Biennial Meeting of the Philosophy of Science Association (pp. 223–234). East Lansing: Philosophy of Science Association.
  • White, E. (2014). Science, pseudoscience, and the frontline practitioner: The vaccination/autism debate. Journal of Evidence-based Social Work, 11, 269–274. doi:10.1080/15433714.2012.759470