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Posted by venessa miemis on Wednesday, August 4, 2010 · 28 Comments I just wrapped up a final project for an aesthetics course this semester, the assignment being to create a “Database of the Self.” I chose to make the database as a representation of the roles we play in terms of how we interact with information online. The roles are overlaid on a panarchy, which shows a visualization of adaptive lifecycles.
What is knowledge maturing? Learning is an inherently social and collaborative activity in which individual learning processes are interdependent and dynamically interlinked with each other: the output of one learning process is input to the next. If we have a look at this phenomenon from a macroscopic perspective, we can observe a knowledge flow across different interlinked individual learning processes.
Observers & Scribes
Roles & Functions...
Culture Hack: Collaborating with Strangers Posted by venessa miemis on September 11, 2012 · 11 Comments below is an entry for the CultureCon Contest by Sebastien Paquet – The culture hacking story I want to share with you is almost ten years old now. Back then I was a Ph.D. student in Computer Science with a deep interest in social software. I was posting to my blog daily, and building a [...]
Posted by venessa miemis on Thursday, July 1, 2010 · 21 Comments I’m in the middle of taking a course on Virtual Learning Environments (syllabus here ), and reading a few chapters from Adaptive Software Development by Highsmith. It approaches the team-building and collaboration process from the perspective of complex adaptive systems theory, and contains some interesting insights in evolutionary development and creating environments where emergence can occur.
To further refine the view of the maturing process, we also have to broaden our view to include the knowledge assets that are vital for the working and development of any kind of network or organisation. These assets are of three kinds: contents, processes and semantics. Contents such as documents, images, videos etc. certainly play a central role. However, they only provide a static picture of the world. We see a need to also include knowledge assets that are more tightly related to the actual work process, the dynamic aspect of the organisation. Large organisations already support this by developing business process models and workflows.
Profiling ( Information science ) refers to the whole process of construction and application of profiles generated by computerized profiling technologies. What characterizes profiling technologies is the use of algorithms or other mathematical techniques that allow one to discover patterns or correlations in large quantities of data, aggregated in databases. When these patterns or correlations are used to identify or represent people they can be called profiles . Other than a discussion of profiling technologies or population profiling the notion of profiling practices is not just about the construction of profiles, but also concerns the application of group profiles to individuals, e.g. in the case of credit scoring, price discrimination, or identification of security risks ( Hildebrandt & Gutwirth 2008 ) ( Elmer 2004 ).