Dynamic Cooperation Networks….and beyond Ana Crespo Solana Spanish National Research Council (CSIC) Brussels, Friday 26th November 2010 THEORETICAL FRAMEWORK: Primary Assumptions Hypothesis Hypothesis - Cooperation and Self-Organizing Commercial Networks - World Economy in the First Global Age (consolidated as a Historic System) (1400-1800) - Connected World History: History to move away from its traditional teleological framework - Scientific and Post-nationalistic History OBJECTIVES: objectives New theoretical framework Use of GIS: methodology New theoretical framework in evolutionary human behaviour in History: networks and communications between different social environments Latest frontier about methodology: SpatioTemporal GIS …. historic data architecture on human cooperation Digital Humanities: Spatial Data Infraestructure • Creation of data sets to support analysis of cooperation • among merchants and others to create and sustain the trading networks of the first global age: DIGITAL HUMANITIES: What History can contribute to the study of Human Cooperation? CURRENT OBJECTIVE: internet publication of data sets, documents and tools to further research TIPOLOGIES OF ANALYSES • economic, social, and cultural factors that sustain cooperation in commercial relationships • analysis of the impact of such cooperation on economic and social development and … • how did cooperation influence historical evolution of social environments? • http://digital.csic.es/handle/10 261/28394 (Atlantic Trade Database) • http://digital.csic.es/handle/10 261/29215 (Data model: contains information on cooperative relationships established by the agents in specific geographic locations). Historical Based Research: new analysis • Historical Analysis: – study the XVI, XVII & XVIII centuries. – sociological and economic analyses – archival data and metadata collection • Topics: – individual cooperators – forms of altruism – micro-institutions to solve problems within the sphere of collective actions PUBLICATION ON FINAL REPORT: • preliminary conclusions and analyses: • • • • • MODELS evolutionary process of the system’s networks spatial organization of collaborative networks models of cooperation among agents system’s areas/economic regions spatial perception and influence of cartography Atlantic Trade Data Base • connected place: granularity on dense areas • merchant networks of comunication • cooperation in long-distance trade areas: this topic needs more interdisciplinary analyses Develop a unified space-time representation for modelling cooperative interactions (behaviour), trade-flows, and network dynamics within an open-source GIS: • comparison among systems around trade routes • comparison between the commercial activities • merchants’ behaviour • spaces for social interaction and exchange: houses, market places, ports… • visualization: • given a representation of • network dynamics • trade flows • cooperative interactions • Model the rules governing change which account for the observed structures • relationships in data • features anomalies and trends patterns Visualization: representation of networks as Complex Systems: a small and a dense world DynCoopNet Spatio-Temporal GIS An experimental prototype GIS Data Model http://digital.csic.es/handle/10261/29215 Analyses • identifying cooperator in historical sources / and a tipology of behaviour Data about: . shipping . geographic space . trade and routes . market areas Ship spectrum: -implies all data in reference to every geographic scale, along a ship’s journey, with the different kinds of social and economic exchanges in every port and/or place. - agents in different connected places. A journey of the ship: “El Amable”: Social agents ……… interactions in each scale! Thank you very much for your attention Interdisciplinary cooperation in the near future will be much appreciated by historians