Joaquín Jiménez-Puerto is a researcher in Computational Archaeology field.
His research has been centered in the study on Social Complexity. My research aimed to study the possibilities of Social Network Analysis tools to provide quantification for the phases of the Adaptative Cycle Model, framed in the Resilience Theory. Some of these novel tools are related to Bayesian chronological attribution, or networks robustness analysis. Nowadays, I am working on Artificial Neural Networks in order to classify archaeological artifacts to integrate them in further SNA studies.
He received a scientific training in Universidad Politécnica de Valencia, achieving a degree in Computer Science - Systems specialization, and working many years as software developer in MSL software and Fujitsu-Siemens. Later on he studied History, Master in Arschaeology and PhD in Prehistory in Universidad de Valencia. He has made specialization seminars from the University of Washington, Harvard and MIT.
His fields of expertise are focused on computational algorithmic methods and their application to Archaeology. Specially Social Network Analysis (SNA), artificial neural networks (ANN), paleodemographic modelling and Bayesian statistic applications.
Currently he is working as a researcher fellow in Departamento de Prehistoria, Universidad de Valencia, in the project NEONETS, financed by Conselleria de Innovación, Universidades, Ciencia y Sociedades.
Spain