Abstract
The ever increasing need (especially in biology) to cope with problems asking for a network-like formalization in which the focus is a sensible description of the correlation structure among the constituent parts is catalyzing what appears as a change in the style of doing science.
The blurring of the distinction between hypothesis generating and testing processes and the substitution of theories peculiar of the specific investigation field with largely independent of the microscopic details organization principles are reshaping the scientific culture.
The above sketched style still refers to a minority of scientific works; nevertheless, it embeds a great promise of making science to exit the actual lack of efficacy crisis due to hyper-specialization.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Csermely, P., et al. (2013). Structure and dynamics of molecular networks: A novel paradigm of drug discovery: A comprehensive review. Pharmacology & Therapeutics, 138, 333–408.
Di Paola, L., De Ruvo, M., Paci, P., Santoni, D., & Giuliani, A. (2012). Protein contact networks: An emerging paradigm in chemistry. Chemical Reviews, 113(3), 1598–1613.
Giuliani, A. (2017). The application of principal component analysis to drug discovery and biomedical data. Drug Discovery Today, 22(7), 1069–1076.
Giuliani, A., et al. (2014). Why network approach can promote a new way of thinking in biology. Frontiers in Genetics, 5(83), 1. https://doi.org/10.3389/fgene.2014.00083.
Gorban, A. N., Smirnova, E. V., & Tyukina, T. A. (2010). Correlations, risk and crisis: From physiology to finance. Physica A: Statistical Mechanics and its Applications, 389(16), 3193–3217.
Hauser, T. U., Fiore, V. G., Moutoussis, M., & Dolan, R. J. (2016). Computational psychiatry of ADHD: Neural gain impairments across Marrian levels of analysis. Trends in Neurosciences, 39(2), 63–73.
Huang, S. (2004). Back to the biology in systems biology: What can we learn from biomolecular networks? Briefings in Functional Genomics, 2(4), 279–297.
Ioannidis, J. P. (2005). Why most published research findings are false. PLoS Medicine, 2(8), e124.
Laughlin, R. B., Pines, D., Schmalian, J., Stojković, B. P., & Wolynes, P. (2000). The middle way. Proceedings of the National Academy of Sciences, 97(1), 32–37.
Mickulecki, D. (2001). Network thermodynamics and complexity: A transition to relational systems theory. Computers and Chemistry, 25, 369–391.
Nicosia, V., De Domenico, M., & Latora, V. (2014). Characteristic exponents of complex networks. EPL (Europhysics Letters), 106(5), 58005.
Nuzzo, R. (2014). Scientific method: Statistical errors. Nature News, 506(7487), 150.
Pearson, K. (1901). On lines and planes of closest fit to systems of points in space. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 2(11), 559–572.
Tellegen, B. (1952). A general network theorem with application. Philips Research Reports, 7, 259–269.
Transtrum, M. K., Machta, B. B., Brown, K. S., Daniels, B. C., Myers, C. R., & Sethna, J. P. (2015). Perspective: Sloppiness and emergent theories in physics, biology, and beyond. The Journal of Chemical Physics, 143(1), 07B201_1.
Wasserstein, R. L., & Lazar, N. A. (2016). The ASA’s statement on p-values: Context, process, and purpose. The American Statistician, 70(2), 129–133.
Weaver, W. (1948). Science and complexity. American Scientist, 36, 536–549.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Giuliani, A. (2019). In Search of Organization Laws: A New Way of Doing Science? (The Uprising of Systemic Attitude). In: Urbani Ulivi, L. (eds) The Systemic Turn in Human and Natural Sciences. Contemporary Systems Thinking. Springer, Cham. https://doi.org/10.1007/978-3-030-00725-6_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-00725-6_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00724-9
Online ISBN: 978-3-030-00725-6
eBook Packages: Business and ManagementBusiness and Management (R0)