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Dr Andrea Baronchelli

Reader

School of Science and TechnologyDepartment of Mathematics

Contact details

Address

Dr Andrea Baronchelli E226, Drysdale Building
City, University of London
Northampton Square
London EC1V 0HB
United Kingdom

Personal links

About

Overview

For more info please see Dr. Baronchelli's PERSONAL HOMEPAGE: https://www.andreabaronchelli.com/

Andrea Baronchelli is a Reader in Mathematics at City University of London, Token Economy theme lead at The Alan Turing Institute, and a research associate at the UCL Centre for Blockchain Technologies.

Prior to joining City in August 2013, he was at Northeastern University and at the Technical University of Catalonia (UPC) in Barcelona. He received his BS and MS in Theoretical Physics from the Sapienza University of Rome and his PhD in Physics from the same university. Andrea is an Associate Editor at EPJ Data Science, PLoS ONE and Frontiers in Blockchain.

His research on social networks and collective dynamics has appeared in a wide range of journals, from Science, PNAS and Nature Human Behaviour to Physical Review Letters and Trends in Cognitive Science, and has been recognised by the 2019 German Physical Society Young Scientist Award for Socio and Econophysics.

In London, he organises Data Natives and is the co-organiser of Databeers London and of the London Computational Social Science Initiative.

For more info please see Dr. Baronchelli's PERSONAL HOMEPAGE: https://www.andreabaronchelli.com/

Research

For more info please see Dr. Baronchelli's PERSONAL HOMEPAGE: https://sites.google.com/site/andreabaronchelli/

Andrea pursues an interdisciplinary research agenda centred on the modeling of social and biological systems, with particular regard to issues in linguistics, cognitive science and evolutionary dynamics. At a more fundamental level, Andrea's research focuses on complex networks and on the way they affect the dynamical processes taking place upon them. He uses concepts and tools coming from Complex Systems, Network Science and Data Science.

Andrea has published 60+ peer-reviewed papers, and has presented his work in 30+ invited talks at International Conferences, Universities and Institutions.

Publications

Publications by category

Chapters (8)

  • Moretti, P., Baronchelli, A., Starnini, M. and Pastor-Satorras, R. (2013). Generalized voter-like models on heterogeneous networks. In Ganguly, N. (Ed.), Dynamics On and Of Complex Networks Springer Science & Business. ISBN 978-1-4614-6729-8.
  • Baronchelli, A., Gong, T., Puglisi, A. and Loreto, V. (2010). On the origin of universal categorization patterns: an in-silica experiment. In Smith, A.D.M. (Ed.), The Evolution of Language (pp. 365–366). World Scientific. ISBN 978-981-4295-22-2.
  • Baronchelli, A., Puglisi, A. and Loreto, V. (2010). Complex systems approach to natural categorization. In Smith, A.D.M. (Ed.), The Evolution of Language World Scientific. ISBN 978-981-4295-22-2.
  • Mukherjee, A., Baronchelli, A., Loreto, V., Puglisi, A. and Tria, F. (2010). Aging in the Emergence of Linguistic Categories. In Fellermann, H., Dörr, M., Hanczyc, M.M., Laursen, L.L., Maurer, S.E., Merkle, D. … Rasmussen, S. (Eds.), Artificial Life XII: Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, Odense, Denmark, August 19-23, 2010 (pp. 589–590). MIT Press. ISBN 978-0-262-29075-3.
  • Baronchelli, A., Cattuto, C., Loreto, V. and Puglisi, A. (2009). Complex systems approach to the emergence of language. In Minett, J.W. and Wang, W.S.-.Y. (Eds.), Language, Evolution, and the Brain City University of HK Press. ISBN 978-962-937-165-4.
  • Jäger, H., Steels, L., Baronchelli, A., Briscoe, E., Christiansen, M.H., Griffiths, T. … Triesch, J. (2009). What can mathematical, computational and robotic models tell us about the origins of syntax? In Bickerton, D. and Szathmáry, E. (Eds.), Biological Foundations and Origin of Syntax (pp. 385–410). MIT Press. ISBN 978-0-262-01356-7.
  • Loreto, V., Baronchelli, A. and Puglisi, A. (2009). Mathematical modeling of language games. In Nolfi, S. and Mirolli, M. (Eds.), Evolution of Communication and Language in Embodied Agents Springer. ISBN 978-3-642-01250-1.
  • Baronchelli, A., Dall'Asta, L., Barrat, A. and Loreto, V. (2006). Strategies for fast convergence in semiotic dynamic. In Rocha, L.M. (Ed.), Artificial life X (pp. 480–485). The MIT Press.

Conference papers and proceedings (5)

  • Starnini, M., Lepri, B., Baronchelli, A., Barrat, A., Cattuto, C. and Pastor-Satorras, R. (2017). Robust Modeling of Human Contact Networks Across Different Scales and Proximity-Sensing Techniques.
  • Lin, Y.-.R., Margolin, B., Keegan, A., Baronchelli, A. and Lazer, D. (2013). #Bigbirds never die: Understanding social dynamics of emergent hashtag. THE SEVENTH INTERNATIONAL AAAI CONFERENCE ON WEBLOGS AND SOCIAL MEDIA 8-11 July, MIT Media Lab and Microsoft.
  • Baronchelli, A., Caglioti, E., Loreto, V. and Steels, L. (2006). Complex systems approach to language games. Second European Conference on Complex Systems ECCS'06 Oxford, UK.
  • Baronchelli, A., Dall'Asta, L., Barrat, A. and Loreto, V. (2006). Bootstrapping communication in language games. 6th International Conference (EVOLANG6).
  • Baronchelli, A., Felici, M., Caglioti, E., Loreto, V. and Steels, L. (2005). Self-organizing communication in language games. First European Conference on Complex Systems ECCS'05 Paris, France.

Journal articles (95)

Thesis/dissertation

  • Baronchelli, A. Statistical mechanics approach to language games. (PhD Thesis)