March 18, 2011
With his incredibly gifted team MIT researcher Deb Roy wired up his house with videocameras to catch almost every moment of his son’s life five years ago. The team then parsed 90,000 hours of home video producing compelling images of data at work. One of the most memorable is the condensed brief awe-inspiring sound digitage of clips of his baby’s voice as he learns to produce the word “water” starting with the sound “gaaa.”
The brilliant visualizations of data dynamics are true art forms for a digital age.
Connectivity takes on a whole new meaning.
December 9, 2009
Mihaly Csikszentmihalyi has been collecting and analysing data on the question, “What is the good life?” since 1967. He explores issues such as the structure of everyday life, develops well-known concepts such as psychic entropy and challenge-skill ratio (CSR). MC’s flow model and the Experience Sampling Method blend the science of pyschology and folksy-self-help (1997) He reveals that the moments of flow where an individual experiences a good challenge-skill ratio, are likely to happen at work (2000:121-123) although they can also occur when an artist is at work in her studio, or a Nintendo players is up to her game.
Memory: Floods and Flows
“The American psychologist Mihaly Csikszentmihalyi has written about the concept of flow, which is the feeling we have of being completely focused on and absorbed in the work we are doing. An artist painting a picture who is so engrossed in his work that he becomes unaware of himself and the passage of time is in a state of flow. Flow can also be attained when a surgeon performs a difficult operation in which she has to use all her abilities and skills. What Csikszentmihalyi has tried to do is identify the circumstances that elicit flow. He reasons that if we analyze situations in terms of the challenges they present and the skills of the person involved in them, we find that flow arises in contexts characterized by a high level of challenge and skill, in which capacity of the doer exactly matches the demands of the task being done (Klingberg 2009:167-8).”
“Considering Csikszentmihalyi’s diagram as a cognitive map with north at the top, it is in the northeast sector where we find the state of flow. When the challenge exceeds skill, we get stres. When skill exceeds challenge we get a sense of control, which becomes boredom as the level of challenge drops. Exchange “skill” for “working memory capacity” and “challenge” for “Information overload,” and perhaps we have a map illustrating the subjective side of the information demand. When this demand exceeds our capacity, we experience the relative attention deficit due north of the map. However, we should not simply avoid these demands, for when they are too low we become bored and apathetic. In other words, there is a reason for us to cater to our need for stimulation and information. It is when demand and capacity, or skill and challenge, are in a state of equilibrium that the situation is conducive to flow. And perhaps it is precisely here, where we exploit our full capacity, that we develop and train our abilities (Klingberg 2009:168)”
“While our working memory load exactly matches working memory capacity and we hover around the magical number seven, the training effect is its most powerful. Now that we know this, it is up to us to control our environments and reshape the work we do to our abilities. Let us hope that we can learn to perfect the compass that will show us where to find balance and help us navigate into the northeast corner of the map, where we can feel the flow and develop to our full capacity (Klingberg 2009:169).” Read the rest of this entry »
January 18, 2009
In an article (2008-07) entitled “Web science: an interdisciplinary approach to understanding the Web” published in Association of Computing Machinery’s journal Communications Hendler, Shadbolt, Hall, Berners-Lee and Weitzner bemoaned the fact that the Web was under-researched and recommended a systems approach to enhance understanding of the Web itself and its continuing social impact, model the Web as a whole and improve engineering of the future Web (Hendler et al 2008-07).
Internet studies focus mainly on technological and monetization aspects. Even the semantic web is geared towards search engine optimization as a market tool.
This illustration, hosted on Flickr, was featured on the cover of the July 2008 edition of Association of Computing Machinery (ACM)‘s Communications magazine. It accompanies the Hendler et al article (2008-07). Generative artist Marius Watz  uses programming languages to create graphics like these: Communications of the ACM 51.7 – Story spread & “Communications of the ACM 51.7 – Cover image”. Art direction was by Andrij Borys Associates.
(Thank you to Watz for use of his images.)
Watz explained, “I don’t explicitly use the rhizome as a model, but many of my forms are based on emergent growth and the interaction between agents governed by simple rules. My interest tends towards the aesthetic rather than the academic, so I generally use whatever models produce interesting behavior.”
Watz’ images resonated with what I have been attempting to do with slow world technologies such as Adobe Photoshop where I combine layers of images of neurons, as a rhizomic metaphor, with constellations of nodes on the Internet placed manually. This process is really an attempt to represent an object that is static which is not the case with the Internet (or the brain’s neurons and synapses). In a sense I am attempting to visualize my own use of the Internet, particularly the emerging semantic web where we redefine older terms and invent new ones to describe what is being done in the name of the Internet in 2009. It is a form of cartography or decalcomania using the trope of the rhizome. Deleuze and Guattari (1987:12) remind us that “a rhizome is not amenable to any structural or generative model. It is a stranger to any idea of genetic axis or deep structure.”
Conversations on this ontology of knowledge management is being indexed under numerous categories, tags, ethnoclassifications, folksonomy, taxonomy . . .
My motivation for seeking out rhizomic metaphors comes from the work of French philosophers in the 1960s such as Emmanuel Levinas, Jacques Derrida, Michel Foucault and Gilles Deleuze who, through their politicized philosophy of difference, developed concepts of consciousness or mind and new forms of thought, writing, subjectivity that are useful for understanding the non-linear, open-ended space of the Internet.
Philosopher Gilles Deleuze and clinical psychoanalyst, Felix Guattari co-authored Anti-Oedipus (1972 ) and A Thousand Plateaus (1980 ). They proposed an “art of living” that embraces hypertextual and hypermedia processes.
Like Nick Lilly, “I hoped that the “primary tropes used by Deleuze and Guattari (the rhizome and tree: rhizomatic knowing/being and arborescent knowing/being) would provide me with a way of getting at key differences between a print-literate consciousness and a e-literate consciousness”. So in my own digitages I sought out images from life sciences as templates to create my own customized rhizomic cartography. They are intended as complex visualizations and are highly subjective. Because they are developed slowly as layers, they are in a way unending and constantly changing.
Arborescent knowing/being is represented in tree diagrams that are genealogical whereas rhizomes are anti-genealogical (Deleuze and Guattari 1987:21). “We should stop believing in trees, roots and radicles. They’ve made us suffer too much (Deleuze and Guattari 1987:15).”
“The tree comes to symbolize the distinction between subject and object, between signifier and signified, encompassing the whole of dualistic logic through its branching patterns, through its definitions of set pathways between root and branch (Clinton 2003).”
In A Thousand Plateaus (1980) Deleuze and Guattari challenged modern beliefs in hierarchy, identity, subjectivity and representation. and promoted principles of difference and multiplicity in theory, politics, and everyday life (Best and Kellner 1991).
However, Deleuze and Guattari’s concept of the virtual defies representation as a visual image and must be imagined as a field of dynamic forces. Even generative software-based visuals like those employed by Marius Watz  cannot visualize that which will not just be but is constantly becoming something else, as it the case of the Internet.
Deleuze and Guattari are concerned with complexity theory, scientific research into self-organizing material systems. In their early work they focused on a materialist study and intervention of self-organizing material systems – systems without hierarchies resulting in a de-centered rhizomic network which (Protevi 2001-11:2). called empirical geophilosophy. According to Protevi (2001-11:2) their empirical geo-philosophy has an explicit political dimension in which they examined hierarchical systems where one body is dominated or domesticated by another, stereotyped reactions are implanted, exploitative procedures developed and implemented and territories are formed. In contrast, Deleuze and Guattari summoned a new earth with new relationships to the creative potential of material systems to form de-territorialized de-centred rhizomic systems where free bodies are formed with multiple, shifting and increasingly intense internal and external connections.
Deleuze and Guattari’s distinguish between virtual and actual wherein the virtual is the threshold where behaviours change and the actual refers to constituted bodies with elementary particles with observable properties and (even predictable) traits, tendencies and patterns of behaviour (or aggregated results of simple behaviors) which can be consciously recognised and therefore represented. The virtual refers to potential transformations or transcendence of material systems and elude represented as their properties of bodies, entities, singularities evade conscious recognition. Virtual singularities are irreducible, self-differentiating entities whose properties are emergent not static (Deleuze and Guattari 1968, 196?). They shape shift with increasingly intense internal and external connections. While it sounds chaotic, it isn’t as the virtual realm has regional ontologies which provide its own taxonomy and systems of categorization.
1. Generative artist Marius Watz works with generative software-based visuals (therefore he is a generative artist). In an interview he described generative works as open systems that unlike machines or paintings, are not finished. “Generative works are ”open“ in the sense that the artist does not completely control the process, but allows other factors (whether randomness, external sensory output or user interaction) to affect the output. It is of course possible to create ”closed“ deterministic works, but most generative artists enjoy the aspect of giving up a certain amount of control (digitaltools).”
He is based in New York and Oslo, after 5 years in Berlin. “Generative art is an art practice where the artist creates a system, typically a piece of software, which is either used to create a work of art or constitutes a work of art in itself. Generative art describes a method or strategy, rather than a specific style or medium of work. The form of Generative Art that most people are aware of is software-based visual abstract art, with artists like C.E.B.Reas, Lia, Jared Tarbell etc. being the most visible exponents. This work is abstract, visually complex and non-representational. Typically, it will be purely digitally generated, with no ”natural“ origin” (digitaltools).”
2. Rhizome as a metaphor for the emergence system, the Internet:
“The rhizome is an anti-genealogy ( (Deleuze and Guattari 1987:11).
“[The rhizome] is a short-term memory, or antimemory. The rhizome operates by variation, expansion, conquest, capture, offshoots. . . . the rhizome is an acentered, nonhierarchical, nonsignifying system without a General and without an organizing memory or central automaton, defined solely by a circulation of states (Deleuze and Guattari 1987:21).”
“A rhizome has no beginning or end; it is always in the middle, between things, interbeing, intermezzo. The tree is filiation, but the rhizome is alliance, uniquely alliance. The tree imposes the verb ‘to be,’ but the fabric of the rhizome is the conjunction, ‘and . . . and . . . and.’ This conjunction carries enough force to shake and uproot the verb ‘to be’ (Deleuze and Guattari 1987:25).”
“Principles of connection and heterogeneity: any point of a rhizome can be connected to anything other, and must be (Deleuze and Guattari 1987:7).”
“Principle of multiplicity. . . . Multiplicities are rhizomatic, and expose arborescent pseudomultiplicities for what they are. . . . A multiplicity has neither subject nor object, only determinations, magnitudes, and dimensions that cannot increase in number without the multiplicity changing in nature (Deleuze and Guattari 1987:8).”
“Principle of asignifying rupture: against the oversignifying breaks separating structures or cutting across a single structure. A rhizome may be broken, shattered at a given spot, but it will start up again on one of its old lines, or on new lines (Deleuze and Guattari 1987:9).”
“Principle of cartography and decalcomania: a rhizome is not amenable to any structural or generative model. It is a stranger to any idea of genetic axis or deep structure (Deleuze and Guattari 1987:12).”
Webliography and Bibliography
Watz, Marius. 2008-07. “Communications of the ACM 51.7.” Communications. Association of Computing Machinery: Advancing Computing as a Science and a Profession.
Best, Stephen; Kellner, Douglas. 1991. “Chapter 3: Deleuze and Guattari: Schizos, Nomads, Rhizomes.” Postmodern Theory: Critical Interrogations. Columbia University.
Call, Lewis. 1998. “Hypertext and the Postmodern Pedagogy of the Enlightenment.” The Journal of the Association for History and Computing. 1:1.http://mcel.pacificu.edu/history/jahcI1/Call/hypertext.html
Clinton, Dan. 2003. Annotation: Deleuze, Gilles and Felix Guattari. “Rhizome,” in A Thousand Plateaus. Theories of Media. Winter 2003.
Deleuze, Gilles; Guattari, Felix. 1972 . Anti-Oedipus.
Deleuze, Gilles; Guattari, Felix. 1980. Mille Plateaux.
Deleuze, Gilles; Guattari, Felix. 1987. Thousand Plateaus: Capitalism and Schizophrenia. Trans. Brian Massumi. Minneapolis: University of Minnesota Press.
Derrida, Jacques. 1976. Of Grammatology. Baltimore and London: Johns Hopkins University Press.
Guattari, Felix; Deleuze, Gilles. 1968 . Trans. Paul Patton. Difference and Repetition.New York: Columbia University Press. Review by Alex Scott.
Guattari, Felix; Deleuze, Gilles. 196? The Logic of Sense.
Hendler, James; Shadbolt, Nigel; Hall, Wendy; Berners-Lee, Tim; Weitzner, Daniel. 2008-07. “Web science: an interdisciplinary approach to understanding the Web.” Communications. Association of Computing Machinery: Advancing Computing as a Science and a Profession.
Protevi, John. 2001-11. The Geophilosophies of Deleuze and Guattari. Southeastern Division of the Association of American Geographers (SEDAAG).
December 31, 2008
My first embodied experience of mountains was in the mid-eighties in France and it left me speechless. We have been living within viewing range of the spectacular Rocky Mountains for over a year now and I am still in awe at the visual phenomenon of recognizing geographical formations with the naked eye, that are hundreds of kilometers away. I was born and grew up on Prince Edward Island where we had rolling hills, fields, harbours, and magnificent ocean views, but no vistas or panoramas that could cover this scale. For reasons I do not understand I have always needed to place my visual world in measurable perspectives and have even learned to map waves and spherical objects in order to draw and paint them with more accuracy.This is one of the many Google maps I am working on as part of this project and others. From Calgary’s Crowfoot Public Library Lookout I have added lines to mountain peaks visible to the naked eye in ideal light. These lines indicate the distance. Each peak marker has additional information about the peaks including height in meters. I am hoping to eventually include ranges, subranges and regions as well as brief summaries on the history of naming, etc. (For now I rely heavily on bivouac.com, peakfinders, wikipedia as well as travel, history, geography and photography books). Information panels in national, provincial and municipal parks also provide some information. I am beginning to create and upload to my Picasa albums, icons (resolution 72 dpi, 65 pixels x 65 pixels) from my own digital photos for each peak.
I am struggling with Google Earth as I have overloaded my .kmz files.
Picasa allows me to tag my individual digital images and to place them in digital albums while maintaining separate albums on my PC to enhance findability. Semantic tools used on the Internet are developed on PCs too.
In order to paint the Rockies I wanted to first know where they were in relation to my easel. I don’t know why but I really want to know names of things including their historical and scientific names. Geological formations fascinate me as much as the history of the First Nations whose trails became our highways. I wanted to know exactly where I was and where they are with locational indicators. I wanted to know their height and how they were linked to neighbouring peaks. We became chasers of the light, watching Calgary skies for the best conditions for capturing images of the Rockies. We searched out the best sites for viewing the mountains from here and returned to them often. Most of our pictures were not that great from a photographic or aesthetic point of view. But bit by bit we were able to see more peaks clearly and identify them.
I began to take 180 degree pans even when the light was not great if at least some of the peaks were more visible.
We drove and hiked closer to the peaks as much as we could and continue to do so looking for more vistas and slightly different angles.
Using online and print sources piece by piece small sections came together.
I began to trace the contours of the peaks skyline so I could more clearly see which peaks were farther west, which were closer to us.
I used both Google Earth and Google’s My Maps features to geotag and tag exact peaks. Then I created lines between the peaks and the site from which I was taking photos so I could visualize compass directions.
I used the various mountaineering sites like bivuoac.com to study maps, to learn the language, to situate peaks within ranges, regions and subranges. I gathered descriptive information.
In Picasa I can geotag and label my photos and I have started uploading some of them to my Picasa album.
Using Adobe PhotoShop Creative Suite I create digitage (collages of digital images using .psd layer options) and I add text fields to label peaks and other features that help situate them.
I upload, tag and geotag some of these labeled images to Flickr but I have been disappointed by the low resolution in my free account.
Recently I have begun to upload higher resolution images to my wordpress accounts, including this one.
A group of savvy semantic web experts have created programs to autogenerate similar images! They describe how they align real photos with a synthetic panorama. I guess that is what I have been doing manually. See Technologies of Vision: semantic image labelling, Marmota: Visual Environmental Monitoring. Recently I received this delightful email from one of the researchers-collaborators:
Dear Maureen, I saw your picture and I think it is very related to the mountain labelling tool I’m working on: http://tev.fbk.eu/marmota (as a demo, please look at the photoblog). Can you describe the context of the Peaks’ Project? You are also welcome to add your photos to the flickr group labelledmountains Merry Christmas from Italy, michele
I thought it would be an appropriate time for me to contextualize my own slow world process involved in my “Naming the Peaks Project.”
Webliography and Bibliography
May 31, 2008
Of the six groups of Hul’qumi’num, the Cowichan Tribes are most numerous, currently accounting for over 60 percent of the Hul’qumi’num population. Historically, as described below, the Cowichan have lived in the lower Cowichan Valley and trace the origin of their name to Mount Tzuhalem or, in Hul’qumi’num, shkewétsen (meaning ‘warm back’ or ‘basking on its side in the sun’). Today, Cowichan reserves and settlements are concentrated in the lower Cowichan Valley between Duncan and Cowichan Bay, with a few smaller reserves farther up the valley. Source Hul’qumi’num Treaty Group