Project artnet is conducted along two parallel, and tightly interwoven lines of investigation – methodological and historiographic one. Transdisciplinary research in methodology, which brings together analytic techniques of Humanities (art history, history, cultural history), Social Sciences (sociology, economy) and Information Science, is focused on the development of digital tools allowing for data analysis and multidimensional / multi-media data presentation.
Research in history, genealogy and structure of modern and contemporary artist networks, entails the investigations in networks' organizational structure, interpersonal dynamics (structures of relations among actors), and responses to the concepts and ideas shaping its social and cultural environment.
Data on artist networks, collected both from the analogue and the publicly available digital sources, is stored in the database, which is the core of the Information system CAN_IS.
Data processing is done by the application of CAN_IS built-in tools for network analysis, text analysis, and geospatial analysis, that will be publicly available at the end of the project, and allowing for data sets download in CVS and SVG formats.
Public presentation of CAN_IS database, Institute of Art History, Zagreb 10 December, 2018.
Conference Digital Art History - Methods, Practices, Epistemologies, University of Zagreb University Computing Centre, Zagreb, November 12 - 14, 2018.
Nikola Bojić gives an invited lecture "The Swamp School "(16th International Architecture Venice Biennale) at the Critical Zone seminar, ZKM / HfG, Karlsruhe, 8-9 November, 2018
Johannes Preiser-Kapeller, et all, Quantitative historical analysis uncovers a single dimension of complexity that structures global variation in human social organization, www.pnas.org/cgi/doi/10.1073/pnas.1708800115;
Paula Barreiro López. "Art History and the Global Challenge: A Critical Perspective". Artl@as Bulletin, Vol 6, Issue 1, 2017.
information system (CAN_IS) intended for processing large data sets, and supporting data mining / semi-automatic textual data retrieval from publicly available digitized and digital sources
book on project methodology describing digital tools and methods applied and developed in the course of the research (Text Explorer, geospatial data analysis, network visualization, virtual collaborative research platform)
survey of the organisation models in the background of modern and contemporary artist and architecture networks’, based on IT processing of data sets collected during the project, and stored in CAN_IS database
repository of material created within the artnet project (papers, conference presentations, articles, metadata descriptions, descriptions of analytic methods and techniques); publicly available data repository (textual, geospatial, visual data) collected and used in the research
closing conference aiming at more precise evaluation of methodological, analytic, and theoretical project results and conclusions