Carlos Gershenson

Carlos Gershenson
Born (1978-09-29) 29 September 1978
Mexico City, Mexico
Nationality Mexican
Known for Research on Self-Organization, Complexity Digest
Awards Team Mexico City, Audi Urban Future Award 2014,[1] Google Research Award for Latin America 2015 (among other 12 winning teams),[2] Cátedra de Investigación Marcos Moshinsky para Jóvenes Científicos 2017, área de Matemáticas[3], Reconocimiento Distinción Universidad Nacional para Jóvenes Académicos, en el Área de Investigación en Ciencias Exactas, 2017[4].
Scientific career
Fields Complex systems, Computer science
Institutions Universidad Nacional Autónoma de México, ITMO University Free University of Brussels
Doctoral advisor Francis Heylighen, Diederik Aerts, Bart D'Hooghe
Other academic advisors José Negrete Martínez, Inman Harvey, Yaneer Bar-Yam
Influences William Ross Ashby, Francisco Varela, Stuart Kauffman
Influenced Tom Froese
Website http://turing.iimas.unam.mx/~cgg/

Carlos Gershenson (born September 29, 1978) is a Mexican researcher at the Universidad Nacional Autónoma de México. His academic interests include self-organizing systems, complexity, and artificial life.

Biography

Gershenson was born September 29, 1978 in Mexico City. He studied a BEng in Computer Engineering at the Arturo Rosenblueth Foundation in Mexico City in 2001 and a MSc in Evolutionary and Adaptive Systems at the University of Sussex. He received his PhD at the Centrum Leo Apostel of the Vrije Universiteit Brussel, Belgium in 2007, on "Design and Control of Self-organizing Systems", under the supervision of Francis Heylighen. He was a postdoc with Yaneer Bar-Yam at the New England Complex Systems Institute.

He is a researcher (investigador) at the Computer Science Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) at the Universidad Nacional Autónoma de México. He was the head the Computer Science Department from 2012 to 2015.

He was also a visiting professor at the Massachusetts Institute of Technology and at Northeastern University during a sabbatical year and has also been editor-in-chief of Complexity Digest since 2009.[5]

Work

The work of Carlos Gershenson has been related to the understanding and popularization of topics of complex systems, in particular, related to Boolean networks, self-organization and traffic control.

Self-organizing Systems

During his PhD, Gershenson proposed heuristics to design and control self-organizing systems.[6] He noticed that self-organization cannot be judged independently of a context, i.e., it is not so relevant to decide whether a system is or not self-organizing, but when is it useful to do so.[7] The usefulness of self-organization lies in the fact that it can provide robust adaptation to changes in a system. As particular cases, he studied the problems of traffic light coordination,[8] organization efficiency,[9] and communication protocols.[10]

He has also explored 'self-organizing traffic lights'[11] and also applied self-organization to public transport regulation[12][13] and other urban systems.[14]

Random Boolean Networks

During his MSc studies, Gershenson proposed a naming convention for random Boolean networks depending on their updating scheme.[15]

He has also studied the effect of redundancy[16] and modularity[17] on random Boolean networks.

MOOCs

Gershenson has been instructor of two Massive Open Online Courses at Coursera, on scientific thought[18] and systemic thought.[19]

Conference organization

He was co-chair of ALIFE XV, the international Artificial Life conference, held in Cancun, Mexico in 2016.[20]

Gershenson also co-chaired together with Jose Luis Mateos the Conference on Complex Systems 2017, held for the first time in Latin America in Cancun.

References

  1. ↑ http://audi-urban-future-initiative.com/blog/data-collectors-from-mexico-city-win-audi-urban-future-award-2014
  2. ↑ http://www.gaceta.unam.mx/20151001/galardon-a-dos-universitarios/
  3. ↑ http://www.dgcs.unam.mx/boletin/bdboletin/2018_108.html
  4. ↑ http://www.gaceta.unam.mx/20171023/wp-content/uploads/2017/10/convoca06.pdf
  5. ↑ http://comdig.unam.mx
  6. ↑ Gershenson, C. (2007). Design and Control of Self-organizing Systems. CopIt Arxives, Mexico. http://scifunam.fisica.unam.mx/mir/copit/TS0002EN/TS0002EN.html
  7. ↑ Gershenson, C. and Heylighen, F. (2003). When can we call a system self- organizing? In Banzhaf, W., Christaller, T., Dittrich, P., Kim, J. T., and Ziegler, J., editors, Advances in Artificial Life, 7th European Conference, ECAL 2003 LNAI 2801, pages 606–614, Berlin. Springer. https://arxiv.org/abs/nlin.AO/0303020
  8. ↑ Gershenson, C (2005). "Self-organizing traffic lights" (PDF). Complex Systems. 16 (1): 29–53.
  9. ↑ Gershenson, C (2008). "Towards self-organizing bureaucracies". International Journal of Public Information Systems. 2008 (1): 1–24.
  10. ↑ Gershenson, C. and Heylighen, F. (2011). Protocol requirements for self- organizing artifacts: Towards an ambient intelligence. In Minai, A., Braha, D., and Bar-Yam, Y., editors, Unifying Themes in Complex Systems, volume V, pages 136–143. Springer, Berlin Heidelberg. https://arxiv.org/abs/nlin.AO/0404004
  11. ↑ Gershenson, C.; Rosenblueth, D. A. (2012). "Self-organizing traffic lights at multiple-street intersections". Complexity. 17 (4): 23–39. arXiv:1104.2829. Bibcode:2012Cmplx..17d..23G. doi:10.1002/cplx.20392.
  12. ↑ Gershenson, C.; Pineda, L. A. (2009). "Why does public transport not arrive on time? The pervasiveness of equal headway instability". PLoS ONE. 4 (10): e7292. Bibcode:2009PLoSO...4.7292G. doi:10.1371/journal.pone.0007292.
  13. ↑ Gershenson, C (2011). "Self-organization leads to supraoptimal performance in public transportation systems". PLoS ONE. 6 (6): e21469. Bibcode:2011PLoSO...621469G. doi:10.1371/journal.pone.0021469. PMC 3127858. PMID 21738674.
  14. ↑ Gershenson, C (2013). "Living in living cities". Artificial Life. 19 (3–4): 401–420. arXiv:1111.3659. doi:10.1162/ARTL_a_00112.
  15. ↑ Classification of random Boolean networks. In Standish, R. K., Bedau, M. A., and Abbass, H. A., editors, Artificial Life VIII: Proceedings of the Eight International Conference on Artificial Life, pages 1–8, Cambridge, MA, USA. MIT Press. https://arxiv.org/abs/cs/0208001
  16. ↑ Gershenson, C., Kauffman, S. A., and Shmulevich, I. (2006). The role of redundancy in the robustness of random Boolean networks. In Rocha, L. M., Yaeger, L. S., Bedau, M. A., Floreano, D., Goldstone, R. L., and Vespignani, A., editors, Artificial Life X, Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems., pages 35–42. MIT Press. https://arxiv.org/abs/nlin.AO/0511018
  17. ↑ Poblanno-Balp, R.; Gershenson, C. (2011). "Modular random Boolean networks". Artificial Life. 17 (4): 331–351. arXiv:1101.1893. doi:10.1162/artl_a_00042.
  18. ↑ https://www.coursera.org/learn/ciencia
  19. ↑ https://www.coursera.org/learn/pensamiento-sistemico
  20. ↑ Gershenson, C., Froese, T., Siqueiros, J. M., Aguilar, W., Izquierdo, E. J., and Sayama, H. (Eds.) (2016). Proceedings of the Artificial Life Conference 2016. MIT Press, Cambridge, MA, USA. ISBN 9780262339360. https://mitpress.mit.edu/books/proceedings-artificial-life-conference-2016
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