Abstract
The modern theories of information opened to way to extraordinary new tools for communication and knowledge construction. When identified instead with the world (DNA is a complete information carrier and a program for ontogenesis, atomic particles and planets exchange information …), a new form of scientism affects knowledge and trust in science. Vague and implicit assumptions, with no precise references to the sciences of information, force strong consequences, in biology in particular. Similarly, the powerful optimization methods that make intelligible the dynamics of inert matter are expected or used to direct also human activities and replace human government by automatic governance. We are then meant to follow the formal, mechanical rule or the unique optimal path, instead of inventing new forms of sense in human interactions. Yet another fantastic tool, the newly available Big Data, is being considered to substitute scientific invention by correlations among numbers: fortunately, mathematics a priori shows that a deluge of spurious correlations may be found in any very large set of numbers. An ethics of knowledge may then be proposed in order to reconstruct the trust in science, as critical thinking at the heart of democracy.
Extended and revised synthesis of an interview by P. Bartolini in Italian (ROARS, September 2016), translated into English by M.R. Doyle and S. Savic.
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Notes
- 1.
Unfortunately, these simplistic views of genetic determination reach the general public: “Being Rich and Successful Is in Your DNA” (Guardian, July 12, 2018); “A New Genetic Test Could Help Determine Children’s Success” (Newsweek, July 10, 2018); “Our ‘Fortunetelling Genes’ make us” (Wall Street Journal, Nov. 16, 2018).
References
More in the papers and references in https://www.di.ens.fr/users/longo/download.html
Anderson C (2008) The end of theory: the data deluge makes the scientific method obsolete. WIRED. Retrieved from https://www.wired.com/2008/06/pb-theory/
Audétat M (ed) (2015) Sciences et technologies émergentes: Pourquoi tant de promesses? Hermann, Paris
Baker S (2014) Recognizing paradigm instability in theories of carcinogenesis. Br J Med Med Res 4(5):1149–1163
Barbaresco F, Mohammad-Djafari A (eds) (2015) Information. Entropy and Their Geometric Structures, MDPI, Basel and Beijing
Bravi B, Longo G (2015) The unconventionality of nature: biology, from noise to functional randomness. In Calude CS, Dinneen MJ (eds) Unconventional Computation and natural computation, vol 9252. Springer International Publishing, Cham, pp 3–34. https://doi.org/10.1007/978-3-319-21819-9_1
Bizzarri M (2012) The new alchemist. The risks of genetic modification. MIT Press, Boston
Buiatti M, Longo G (2013) Randomness and multilevel interactions in biology. Theory Biosci 132(3):139–158. https://doi.org/10.1007/s12064-013-0179-2
Calude CS, Longo G (2016a) Classical, quantum and biological randomness as relative unpredictability. Nat Comput 15(2):263–278. https://doi.org/10.1007/s11047-015-9533-2
Calude CS, Longo G (2016b) The Deluge of Spurious Correlations in Big Data. Found. of Science, 1–18, March, 2016
Diamanti-Kandarakis E, Bourguignon JP, Giudice LC, Hauser R, Prins GS, Soto AM, Zoeller RT, Gore AC (2009) Endocrine-disrupting chemicals: an Endocrine Society scientific statement. Endocr Rev 30:293–342
Elowitz MB, Levine A, Siggia E, Swain P (2002) Stochastic gene expression in a single cell. Science, 297
Giuliani A (2010) Collective motions and specific effectors: a statistical mechanics perspective on biological regulation. BMC Genomics 11(suppl 1):S2
Koppl R, Kauffman S, Felin T, Longo G (2015) Economics for a creative world. J Inst Econ 11(01):1–31. https://doi.org/10.1017/S1744137414000150
Longo G (2005) On the relevance of negative results. Intellectica (40) (in English: https://www.di.ens.fr/users/longo/files/PhilosophyAndCognition/neg-resCE.pdf )
Longo G (2016a) How future depends on past histories and rare events in systems of life, Foundations of Science, pp 1–32
Longo G (2016b) A review-essay on reductionism: some reasons for reading. In: Chibbaro S, Rondoni L, Vulpiani A (eds) Reductionism, emergence and levels of reality. The importance of being borderline. Urbanomic, London. https://www.urbanomic.com/document/on-the-borderline/, May 8
Longo G (ed) (2017) Lois des dieux, des hommes et de la nature. Spartacus IDH, Paris
Longo G (2018a) Interfaces of incompleteness. In: Minati G, Abram M, Pessa E (eds) Systemics of incompleteness and quasi-systems. Springer, New York, NY
Longo G (2018b) Information and causality: mathematical reflections on cancer biology. Organisms J Biol Sci 2(1):2018
Longo G (2018c) Letter to turing. Theory, Cult Soc, A Posthumanities Special Issue, June 7, 2018 https://doi.org/10.1177/0263276418769733
Longo G (2019) Information at the threshold of interpretation, science as human construction of sense. In Bertolaso M, Sterpetti F (eds) Critical reflection on automated science—will science remain human? Springer, New York
Longo G, Montévil M (2014) Perspectives on organisms: biological time, symmetries and singularities. Springer, Berlin
Longo G, Montévil M, Kauffman S (2012) No entailing laws, but enablement in the evolution of the biosphere. ACM proceedings of the Genetic and Evolutionary Computation Conference, GECCO’12, Philadelphia (PA, USA), July 7–11
Longo G, Seno L (2018) Digital networks, knowledge and “political” biases in their understanding and use. In: Stiegler et al (ed) Philosophy of internet and of the hermeneutic web. MIT Press, in preparation
Montévil M (2020) Entropies and the anthropocene crisis, AI and Society, to appear
Plomin R (2018) BLUEPRINT How DNA makes us who we are, Penguin
Rafols I et al (2014) Big pharma, little science?: a bibliometric perspective on big pharma’s R&D decline. Technol Forecast Soc Chang 81:22–38
Seno L (2014) Why the development engine broke down. IEA Nantes. Downloadable from: https://www.acustica.org/publicat.htm#2014
Sikandar H (2019) Genome-editing technologies: concept, pros, and cons of various genome-editing techniques and bioethical concerns for clinical application. Mol Ther: NuclC Acids 16
Sonnenschein C, Soto AM (1999) The society of cells: cancer and control of cell proliferation. Springer
Soto AM, Longo G, Noble D (2016) From the century of the genome to the century of the organism: new theoretical approaches. Prog Biophys Mol Biol 122(1):1–3
Vandenberg LN et al (2012) Hormones and endocrine-disrupting chemicals: low-dose effects and non-monotonic dose responses. Endocr Rev 33:378–455
Weinberg R (2014) Coming full circle—form endless complexity to simplicity and back again. Cell 157, 3/27
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Longo, G. (2020). Information, Science and Democracy, for an Ethics of Scientific Knowledge. In: Fabris, A. (eds) Trust. Trust 2020. Studies in Applied Philosophy, Epistemology and Rational Ethics, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-030-44018-3_5
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