The goal of the Evolution of Technology Lab (ETL) is to develop an evolutionary theory of technological complexity. We have many empirical (often anecdotical) studies about technological systems. But there is no established consensus about what technology is and how it develops. In the search of universal principles, we have compared the evolution of natural and artificial systems. An striking possibility is that the evolution of technology is not different (in their fundamental processes) from other systems, and thus providing a reliable empirical system for testing general hypotheses. What is the role played by emergence, convergence and environmental fluctuations in the origin of natural and artificial innovations? The ETL uses different approaches to extend evolutionary theory beyond the original domain of biology. This effort depends on both empirical analysis and theoretical modelling. An unique approach of our lab is the complex networks perspective of the evolution of technology, which we have developed over the years. We also develop systematic ways to recollect and analyse the rich fossil record of inventions.
Web page: Valverde Lab
Bentley RA, Carrignon S, Ruck DJ, Valverde S, O’Brien MJ. 2021. Neutral models are a tool, not a syndrome. Nature Human Behaviour. DOI:10.1038/s41562-021-01149-x
Valverde S, Vidiella B, Montañez R, Fraile A, Sacristán S, García-Arenal F. 2020. Coexistence of nestedness and modularity in host–pathogen infection networks. Nature Ecology and Evolution,4(4):568-577. DOI:10.1038/s41559-020-1130-9
Solé R, Valverde S. 2020. Evolving complexity: how tinkering shapes cells, software and ecological networks. Philosophical Transactions of the Royal Society B: Biological Sciences, 375(1796). DOI:10.1098/rstb.2019.0325
Solé R.; Valverde S. 2020. Evolving complexity: how tinkering shapes cells, software and ecological networks. The Royal Society. doi: 10.1098/rstb.2019.0325
Ferrando-Bernal M, Morcillo-Suarez C, De-Dios T, Gelabert P, Civit S, Díaz-Carvajal A, Ollich-Castanyer I, Allentoft ME, Valverde S, Lalueza-Fox C. 2020. Mapping co-ancestry connections between the genome of a Medieval individual and modern Europeans. Scientific Reports, 10(1):6843. DOI: 10.1038/s41598-020-64007-2
Valverde S, Piñero J, Corominas-Murtra B, Montoya J, Joppa L, Solé R. 2018. The architecture of mutualistic networks as an evolutionary spandrel. Nature Ecology & Evolution, 2(1):94-99. DOI:10.1038/s41559-017-0383-4
Corominas-Murtra B, Seoane LF, Solé R. 2018. Zipf’s Law, unbounded complexity and open-ended evolution. Journal of The Royal Society Interface, 15(149):20180395. DOI:10.1098/rsif.2018.0395
Aguilar D, Pinart M, Koppelman GH, Saeys Y, Nawijn MC, Postma DS, Akdis M, Auffray C, Ballereau S, Benet M, García-Aymerich J, González JR, Guerra S, Keil T, Kogevinas M, Lambrecht B, Lemonnier N, Melen E, Sunyer J, Valenta R, Valverde S, Wickman M, Bousquet J, Oliva B, Antó JM. 2017. Computational analysis of multimorbidity between asthma, eczema and rhinitis. PLoS ONE, 12(6):1-26. DOI:10.1371/journal.pone.0179125
Valverde,S.; Solé, R.V. 2015. Punctuated equilibrium in the large-scale evolution of programming languages. Journal of the Royal Society Interface 12(107).
Valverde, S.; Oshe, S.; Turalska,M.; Garcia-Ojalvo,J.; West,B. J. 2015. Structural Determinants of Criticality in Biological Networks. Frontiers in Physiology 6.
Weitz, J.S.; Poisot, T.; Meyer, J. R.; Flores, C. O.; Valverde, S.; Sullivan, M.B.; Hochberg, M. E. 2013. Phage bacteria infection networks. Trends in Microbiology. 21 (2):82-91