Global Ubiquitous Computing
From TracingNetworksWiki
"Global Ubiquitous Computing" is a sub project of Tracing Networks Programme
José Fiadeiro, Emilio Tuosto, Effie Lai-Chong Law, Monika Solanki, Yi Hong
This research programme has a very ambitious goal with a potential far-reaching impact: to project techniques arising from socioeconomic, cultural and "technological" craft networks of ancient civilisations to modern distributed computation paradigms. A key factor for the success and uptake of software development techniques by industry has been their close relationship with socioeconomic metaphors. E.g., object-oriented programming is inspired by social networks: software components cooperate through a-priori shared knowledge as much like as village economies require mutual knowledge among people. Global Ubiquitous Computing promotes new computational models based on code/data mobility over dynamic networks where „context-awareness‟ is crucial: software components move to take advantage of remote resources, as companies/people do in the global economy. This enables new modalities of interaction, that is, an opportunity for the chaîne opératoire of socioeconomic models to be reflected in new computing paradigms so as to improve efficiency. This aspect of the sub-project aims to explore such newly opened avenues by reflecting how networks of crafts-people and
craft traditions operate in human societies, opening the way for competitive, opportunistic, self-organising and selfish computations. Another research aspect concerns the conceptual, logical and technological infrastructure integrating and supporting all sub-projects. Two more ambitious goals besides the physical infrastructure needed for storing and sharing data are: 1) to provide a logical infrastructure to support classification and analysis/interpretation of data. Precisely, an ontology of concepts will be defined for use in repositories of data/elements together with meta-models for tools used by sub-projects to interact. The ontology will offer a uniform representation of data and findings of the other sub-projects together with versatile tools through which unforeseen relationships among heterogeneous datasets may emerge semi-automatically. 2) to support technically the different teams in using the tools and interacting through them. This environment should ensure the future collaboration of teams and enable future research by others. We anticipate the use of this environment will induce changes in the methodology used in the community of archaeologists by enabling them effectively and efficiently to capture, code, and analyse context-rich data in situ with (almost) seamless collaboration, independent of time and distance barriers, with experts of a multidisciplinary team, thus contributing to the evolution of the discipline overall.
