Overview
Hi, I'm Chico!
I am a Senior Lecturer in Computer Science at the University of Exeter, and a couple of other things too:
- Deputy Director at the Exeter Centre for Climate Communication and Data Science
- Computational Social Science theme lead at the Exeter Institute for Data Science and AI,
- Visiting Professor at the Department of English Language and Literature, Ewha Womans University, Seoul
- Research associate at the Oxford Internet Institute, University of Oxford
- Member of the Council of the Complex Systems Society
- and the director of the CC Lab.
Research
I study how ideas spread and evolve, mixing data science with theories about human behaviour, culture, and society.
To be more specific: my research group develops new computational tools to study the media we produce and consume, the beliefs we hold and stories we tell, our myths and traditions, as well as the opinions, ideas, and narratives we propagate – how they develop, and how they evolve.
In doing so, I combine tools and approaches from data science, mathematical modelling, complex systems, algorithmic information theory, evolutionary biology, cultural evolution, cultural sociology, political communication, social psychology, cognitive psychology, and broadly speaking, computational social science.
For more detail and examples of ongoing projects, see the CC Lab website or my personal website.Prospective students
I am looking for talented researchers (PhD students and postdocs) to join my lab. If this seems interesting to you, do get in touch! These links might be useful:
- EPSRC PhD Studentships
- China Scholarship Council and University of Exeter Full PhD Scholarships
- PhD Studentship opportunities at Exeter
- Centre for Doctoral Training in Environmental Intelligence: Data Science & AI for Sustainable Futures
Publications
Copyright Notice: Any articles made available for download are for personal use only. Any other use requires prior permission of the author and the copyright holder.
| 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 |
2024
- Martin NS, Camargo CQ, Louis AA. (2024) Bias in the arrival of variation can dominate over natural selection in Richard Dawkins’s biomorphs, PLOS Computational Biology, volume 20, no. 3, DOI:10.1371/journal.pcbi.1011893.
2023
- Pantazi M, Camargo CQ, Margetts H, John P, Hale S. (2023) How public opinion shapes individual policy preferences: do the conformists constrain the contrarians?, DOI:10.31219/osf.io/aq5d2.
- Simon FM, Camargo CQ. (2023) Autopsy of a metaphor: The origins, use and blind spots of the 'infodemic', NEW MEDIA & SOCIETY, volume 25, no. 8, pages 2219-2240, article no. ARTN 14614448211031908, DOI:10.1177/14614448211031908. [PDF]
2022
- Loke T, Teramoto Y, Camargo CQ, Eccles K. (2022) Heritage site-seeing through the visitor’s lens on Instagram, Journal of Cultural Analytics, volume 7, no. 3, DOI:10.22148/001c.38966.
- Johnston IG, Dingle K, Greenbury SF, Camargo CQ, Doye JPK, Ahnert SE, Louis AA. (2022) Reply to Ocklenburg and Mundorf: The interplay of developmental bias and natural selection, Proceedings of the National Academy of Sciences of the United States of America, volume 119, no. 28, DOI:10.1073/pnas.2205299119.
- Yücel SG, Pereira RHM, Peixoto PS, Camargo CQ. (2022) Impact of Network Centrality and Income on Slowing Infection Spread after Outbreaks, DOI:10.48550/arxiv.2202.03914.
- Johnston IG, Dingle K, Greenbury SF, Camargo CQ, Doye JPK, Ahnert SE, Louis AA. (2022) Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution, Proc Natl Acad Sci U S A, volume 119, no. 11, DOI:10.1073/pnas.2113883119. [PDF]
2021
- Johnston IG, Dingle K, Greenbury SF, Camargo CQ, Doye JPK, Ahnert SE, Louis AA. (2021) Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution, DOI:10.1101/2021.07.28.454038.
- Camargo CQ, John P, Margetts HZ, Hale SA. (2021) Measuring the Volatility of the Political agenda in Public Opinion and News Media, Public Opin Q, volume 85, no. 2, pages 493-516, DOI:10.1093/poq/nfab032. [PDF]
2020
- Camargo CQ, Louis AA. (2020) Boolean Threshold Networks as Models of Genotype-Phenotype Maps, Complex Networks XI, Springer, 143-155.
- Camargo CQ. (2020) New Methods for the Steady-State Analysis of Complex Agent-Based Models, Frontiers in Physics, volume 8, DOI:10.3389/fphy.2020.00103. [PDF]
- Camargo CQ, Bright J, McNeill G, Raman S, Hale SA. (2020) Estimating Traffic Disruption Patterns with Volunteered Geographic Information, Scientific Reports, volume 10, no. 1, article no. 1271, DOI:10.1038/s41598-020-57882-2. [PDF]
2019
- Camargo CQ, Bright J, Hale SA. (2019) Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information, DOI:10.48550/arxiv.1905.07964.
- Camargo CQ, Bright J, McNeill G, Raman S, Hale SA. (2019) Estimating Traffic Disruption Patterns with Volunteered Geographic Information, DOI:10.48550/arxiv.1907.05162.
- De Domenico M, Brockmann D, Camargo CQ, Gershenson C, Goldsmith D, Jeschonnek S, Kay L, Nichele S, Nicolás J, Schmickl T. (2019) Complexity Explained: A Grassroot Collaborative Initiative to Create a Set of Essential Concepts of Complex Systems, DOI:10.17605/osf.io/tqgnw.
- Pérez GV, Camargo CQ, Louis AA. (2019) Tight PAC-Bayesian generalization error bounds for deep learning, ICML workshop on Understanding and Improving Generalization in Deep Learning.
- Pérez GV, Camargo CQ, Louis AA. (2019) Deep learning generalizes because the parameter-function map is biased towards simple functions, Proceedings of the International Conference on Learning Representations (ICLR).
- Camargo CQ, Bright J, Hale SA. (2019) Diagnosing the performance of human mobility models at small spatial scales using volunteered geographical information, Royal Society Open Science, volume 6, no. 11, pages 191034-191034, DOI:10.1098/rsos.191034. [PDF]
2018
- Camargo C. (2018) Physics makes rules, evolution rolls the dice, Science, volume 361, no. 6399, pages 236-236, DOI:10.1126/science.aat7776.
- Bright J, Camargo C, Hale S, McNeill G, Raman S. (2018) Estimating traffic disruption patterns with volunteer geographic information, Proceedings of the 2nd International Conference on Advanced Research Methods and Analytics (CARMA 2018), DOI:10.4995/carma2018.2018.8319.
- Camargo CQ, Hale SA, John P, Margetts HZ. (2018) Measuring the Volatility of the Political agenda in Public Opinion and News Media, DOI:10.48550/arxiv.1808.09037.
- Valle-Pérez G, Camargo CQ, Louis AA. (2018) Deep learning generalizes because the parameter-function map is biased towards simple functions, DOI:10.48550/arxiv.1805.08522.
- Dingle K, Camargo CQ, Louis AA. (2018) Input–output maps are strongly biased towards simple outputs, Nature Communications, volume 9, no. 1, article no. 761, DOI:10.1038/s41467-018-03101-6. [PDF]