Carlos Gershenson

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.

Carlos Gershenson
Born (1978-09-29) 29 September 1978
Mexico City, Mexico
NationalityMexican
Known forResearch on Self-Organization, Complexity Digest
AwardsTeam 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
FieldsComplex systems, Computer science
InstitutionsUniversidad Nacional Autónoma de México, ITMO University Free University of Brussels
Doctoral advisorFrancis Heylighen, Diederik Aerts, Bart D'Hooghe
Other academic advisorsJosé Negrete Martínez, Inman Harvey, Yaneer Bar-Yam
Notable studentsTom Froese
InfluencesWilliam Ross Ashby, Francisco Varela, Stuart Kauffman
Websitehttp://turing.iimas.unam.mx/~cgg/

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 Applicadas 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] He has been a member of the Board of Advisers at Scientific American (2019-).

Work and Research

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. He has deployed his systems in the real world to change traffic patterns in Latin America.[6]

Self-organizing Systems

During his PhD, Gershenson proposed heuristics to design and control self-organizing systems.[7] 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.[8] 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,[9] organization efficiency,[10] and communication protocols.[11]

He has also explored 'self-organizing traffic lights'[12] and also applied self-organization to public transport regulation[13][14] and other urban systems.[15] Together with Gustavo Carreón, Tania Pérez, Jorge Zapotecatl, and Luis Pineda, he developed the #Metrevolución project,[16] which managed to coordinate boarding and descent of passengers in the Mexico City metro.

Random Boolean Networks

During his MSc studies, Gershenson proposed a naming convention for random Boolean networks depending on their updating scheme.[17]

He has also studied the effect of redundancy[18] and modularity[19] on random Boolean networks.

MOOCs

Gershenson has been instructor of several Massive Open Online Courses at Coursera, on scientific thought,[20] systemic thought,[21] and artificial intelligence.[22]

Conference organization

He was co-chair of ALIFE XV, the international Artificial Life conference, held in Cancun, Mexico in 2016.[23]

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. "Archived copy". Archived from the original on 2016-08-21. Retrieved 2016-08-12.CS1 maint: archived copy as title (link)
  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. "Nueva propuesta para agilizar el Metro". Gaceta UNAM (in Spanish). 2018-01-25. Retrieved 2020-08-08.
  7. Gershenson, C. (2007). Design and Control of Self-organizing Systems. CopIt Arxives, Mexico. http://scifunam.fisica.unam.mx/mir/copit/TS0002EN/TS0002EN.html
  8. Gershenson, Carlos; Heylighen, Francis (2003). "When Can we Call a System Self-organizing?". arXiv:nlin.AO/0303020. Cite journal requires |journal= (help)
  9. Gershenson, C (2005). "Self-organizing traffic lights" (PDF). Complex Systems. 16 (1): 29–53.
  10. Gershenson, C (2008). "Towards self-organizing bureaucracies". International Journal of Public Information Systems. 2008 (1): 1–24. arXiv:nlin/0603045. Bibcode:2006nlin......3045G.
  11. Gershenson, Carlos; Heylighen, Francis (2011). "Protocol Requirements for Self-organizing Artifacts: Towards an Ambient Intelligence". Unifying Themes in Complex Systems. pp. 136–143. arXiv:nlin.AO/0404004. doi:10.1007/978-3-642-17635-7_17. ISBN 978-3-642-17634-0. S2CID 1476317.
  12. 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. S2CID 15649642.
  13. 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. PMC 2762539. PMID 19862321.
  14. 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.
  15. Gershenson, C (2013). "Living in living cities". Artificial Life. 19 (3–4): 401–420. arXiv:1111.3659. doi:10.1162/ARTL_a_00112. PMID 23834590. S2CID 9058322.
  16. http://turing.iimas.unam.mx/sos/?q=metrevolucion
  17. Gershenson, Carlos (2002). "Classification of Random Boolean Networks". arXiv:cs/0208001. Bibcode:2002cs........8001G. Cite journal requires |journal= (help)
  18. Gershenson, Carlos; Kauffman, Stuart A.; Shmulevich, Ilya (2005). "The Role of Redundancy in the Robustness of Random Boolean Networks". arXiv:nlin.AO/0511018. Bibcode:2005nlin.....11018G. Cite journal requires |journal= (help)
  19. 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. PMID 21762022. S2CID 17472129.
  20. https://www.coursera.org/learn/ciencia
  21. https://www.coursera.org/learn/pensamiento-sistemico
  22. https://www.coursera.org/specializations/inteligencia-artificial
  23. 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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