F.J. Miguel Quesada

Universitat Autònoma de Barcelona (UAB)
Members
Short CV: 

Francisco J. Miguel Quesada is an Associate Professor (2010) at Universitat Autònoma de Barcelona (Spain), and held the position of Director of the "Laboratory for Socio-Historical Dynamics Simulation" (LSDS-UAB). He has a background on Law (UB), Sociology (UAB) and Computer Engineering (UNED). He holds a PhD in Sociology from the Universitat Autònoma de Barcelona (UAB) and a Master's Degree in Sociology of Consumption from the Universidad Complutense de Madrid (UCM). He has been involved in teaching both undergraduate and postgraduate level courses in Methodology for the Social Sciences, Sociology of Consumption, Applied Statistics for Marketing Analysis, and Agent-based modeling and simulation at the Universitat Autònoma de Barcelona (UAB), the Universitat de Barcelona (UB) and Universitat Pompeu Fabra (UPF). He has conducted research in the fields of sociology of consumption, social indicators regarding women in contemporary society, and the analysis of school-to-work transitions. At present he mainly works in the domain of “computational sociology” -an applied branch of artificial intelligence that merges social science and computer simulation techniques to model and analise complex socio-policy issues and societal dynamics- at GSADI, and he is involved in several projects using agent-based social simulation for the modelling of social networks dynamics and evolution of social behavior. He has published book chapters and journal articles on agent-based social modeling since 2009.

CV (2019)  ORCID  Google Scholar  ResearchGate  |  Academia  Open Science Framework


Publications

Book Chapter

Barceló, J. A., Del Castillo, F., Mameli, L., Miguel, F. J., & Vilà, X.. (2019). From Culture Difference To A Measure Of Ethnogenesis. The Limits Of Archaeological Inquiry. In M. Saqualli & Linder, V. (Eds.), Integrating qualitative and social science factors in archaeological modelling. Berlin: Springer-Verlag. doi:10.1007/978-3-030-12723-7
Llàcer, T., Miguel, F. J., Noguera, J. A., & Tapia, E.. (2018). SIMULFIS: A Simulation Tool to Explore Tax Compliance Behavior. In Agent-based Modeling of Tax Evasion (pp. 125 - 151). Wiley-Blackwell. doi:10.1002/9781119155713.ch5
Barceló, J. A., Del Castillo, F., Del Olmo, R., Mameli, L., Miguel, F. J., Poza, D., & Vilà, X.. (2015). Simulating Patagonian Territoriality in Prehistory: Space, Frontiers and Networks Among Hunter-Gatherers. In G. Wurzer, Kowarik, K., & Reschreiter, H. (Eds.), Agent-based Modeling and Simulation in Archaeology (pp. 217 - 256). Cham: Springer International Publishing. doi:10.1007/978-3-319-00008-4_10
Noguera, J. A., Parravano, A., Hermida, P., & Tena-Sánchez, J.. (2014). Simulating Social Influence Dynamics from Observational Data: The Case of Secessionist Flags in Barcelona's Balconies. In F. J. Miguel, Amblard, Frédéric, Barceló, J. A., & Madella, M. (Eds.), Advances in Computational Social Science and Social Simulation (pp. 226 - 228). Barcelona: Universitat Autònoma de Barcelona.
Barceló, J. A., Cuesta, J. A., Del Castillo, F., Galán, J. M., Mameli, L., Miguel, F. J., et al.. (2013). Simulating Prehistoric Ethnicity. The case of Patagonian hunter-gatherers. In F. Contreras, Farjas, M., & Melero, F. J. (Eds.), Fussion of Cultures. Computer Applications and Quantitative Methods in Archaeology (pp. 137 - 144). Granada: University of Granada/CAA International. Retrieved from https://publikationen.uni-tuebingen.de/xmlui/bitstream/handle/10900/61684/21_Barcelo_et_al_CAA_2010.pdf?sequence=2&isAllowed=y
Noguera, J. A., Llàcer, T., Miguel, F. J., & Tapia, E.. (2012). Exploring Tax Compliance: An Agent-Based Simulation. In K. G. Troitzsch, Möhring, M., & Lotzmann, U. (Eds.), Proceedings - 26th European Conference on Modelling and Simulation (pp. 638 - 643). Koblenz: EMCS. Retrieved from http://www.scs-europe.net/conf/ecms2012/ecms2012%20proceedings.pdf
Miguel, F. J., & Hassan, S.. (2012). La investigación mediante simulación social multi-agente. In M. Arroyo & Sádaba, I. (Eds.), Metodología de la investigación social: técnicas innovadoras y sus aplicaciones (pp. 321 - 344). Madrid: Síntesis.

Journal Article

Noguera, J. A., Miguel, F. J., Tapia, E., & Llàcer, T.. (2014). Tax Compliance, Rational Choice, and Social Influence: An Agent-Based Model. Revue française de sociologie, 55, 765 - 804. doi:10.3917/rfs.554.0765
Salgado, M., Noguera, J. A., & Miguel, F. J.. (2014). Modelling Cooperation Mechanisms: Some Conceptual Issues. Journal of Archaeological Method and Theory, 21, 325 - 342. doi:10.1007/s10816-013-9186-3
León, F. J., Miguel, F. J., & Alcaide, V.. (2014). The Production of Step-Level Public Goods in Structured Social Networks: An Agent-Based Simulation. Journal of Artificial Societies and Social Simulation, 17, 4. doi:10.18564/jasss.2419
Llàcer, T., Miguel, F. J., Noguera, J. A., & Tapia, E.. (2013). An agent-based model of tax compliance: an application to the spanish case. Advances in Complex Systems, 16, 1350007. doi:10.1142/S0219525913500070
Del Castillo, F., Barceló, J. A., Mameli, L., Miguel, F. J., & Vilà, X.. (2013). Modeling Mechanisms of Cultural Diversity and Ethnicity in Hunter-Gatherers. Journal of Archaeological Method and Theory, 21, 364 - 384. doi:10.1007/s10816-013-9199-y
Miguel, F. J. (2009). Acceptability and Complexity: Social Scientist Dilemma, and a ABSS Methodology case example. Inteligencia Artificial (Revista Iberoamericana de IA), 13, 21 - 35. doi:10.4114/ia.v13i42.1043
Miguel, F. J., Casal, J., García, M., & Merino, R.. (2006). Aportaciones teóricas y metodológicas a la sociología de la juventud. Papers, Revista de Sociologia, 79, 21 - 48. doi:10.5565/rev/papers/v79n0.798
Miguel, F. J., Casal, J., García, M., & Merino, R.. (2006). Changes in forms of transition in contexts of informational capitalism. Papers, Revista de Sociologia, 79, 195 - 223. doi:10.5565/rev/papers/v79n0.832
Miguel, F. J. (2006). Reseña de "Simulation for Social Scientist" (Gilbert & Troitzsch, 2005). Papers, Revista de Sociologia, 80, 303 - 306. doi:10.5565/rev/papers/v80n0.1837
Miguel, F. J. (1996). ¿Deberían interesarse los sociólogos por el marxismo analítico?. Papers, Revista de Sociologia, 50, 155 - 163.

Book

Amblard, Frédéric, Miguel, F. J., Blanchet, Adrien, & Gaudou, Benoit (Eds.). (2015). Advances in Artificial Economics. Lecture Notes in Economics and Mathematical Systems. Springer International Publishing. Retrieved from https://www.springer.com/la/book/9783319095776

Report

Noguera, J. A., Guijarro, X., León, F. J., Llàcer, T., Miguel, F. J., Tapia, E., et al.. (2011). Valors i actituds sobre justícia distributiva: prestacions socials i fiscalitat. Monografies (Vol. 2011). Barcelona: Centre d'estudis d'Opinió, Generalitat de Catalunya. doi:10.1155/2011/765640

Conference Paper

Barceló, J. A., Cuesta, J. A., Del Castillo, F., Galán, J. M., Mameli, L., Miguel, F. J., et al.. (2010). Patagonian Ethnogenesis: towards a computational simulation approach. In Proceedings of the 3rd World Congress on Social Simulation WCSS2010 (CD-ROM). Kassel: Center for Environmental Systems Research, University of Kassel. Retrieved from https://www.researchgate.net/publication/265915895_Patagonian_Ethnogenesis_towards_a_computational_simulation_approach
Miguel, F. J. (2009). ABSS Methodology for Testing Complexity Levels: Case of Elementary Forms of Sociality. In 2nd Workshop on Social Simulation and Artificial Societies Analysis (SSASA'08) (Vol. 442). Barcelona: CEUR Workshop Proceedings. Retrieved from http://ceur-ws.org/Vol-442/p7_Miguel.pdf
Miguel, F. J. (2009). Debates on Social Simulation: Levels and Types of Models. In 2nd Workshop on Social Simulation and Artificial Societies Analysis (SSASA'08) (Vol. 442). Barcelona: CEUR Workshop Proceedings. Retrieved from http://ceur-ws.org/Vol-442/p7_Miguel.pdf
Tena-Sánchez, J., & Güell, A.. (2009). Hacia un concepto de norma social integrable en modelos de simulación multi-agente. In F. J. Miguel (Ed.), 2nd Workshop on Social Simulation and Artificial Societies Analysis (SSASA'08) (p. 442). Barcelona: CEUR Workshop Proceedings. Retrieved from http://ceur-ws.org/Vol-442/p9_GuellTena.pdf
Miguel, F. J., & López, A.. (2009). How Social Sciences could be benefit from ABSS practices. In SiCoSSys Workshop' 09. Sevilla: Spanish Conference on Artificial Intellligence. Retrieved from https://www.insisoc.org/sicossys_workshop_2009/proceedings/sicossys_Miguel_2009.pdf


Translations:

  • (2010): Herbert Gintis, “Hacia la unidad de las ciencias del comportamiento humano”, in J.A. Noguera (ed.), Teoría sociológica analítica, Madrid, CIS.
  • (2010): Hartmut Esser, “¿Cual es el problema de la ‘Sociología de las Variables’?”, in J.A. Noguera (ed.), Teoría sociológica analítica, Madrid, CIS.
  • (2006): N. Gilbert and K. Troitzsch, Simulación para las Ciencias Sociales: Una guía práctica para explorar cuestiones sociales mediante el uso de simulaciones informáticas. Madrid: MacGraw-Hill Iberoamericana.

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