A World Without Apps - talk by Michel Beaudouin-Lafon (UIST 2019)
Homo Cyberneticus: The Era of Human-AI Integration - talk by Jun Rekimoto (UIST 2019)
A World Without Apps - talk by Michel Beaudouin-Lafon (UIST 2019)
Homo Cyberneticus: The Era of Human-AI Integration - talk by Jun Rekimoto (UIST 2019)
EnAlgae brings together 19 partners and 14 observers across seven EU Member States. It aims to reduce CO2 emissions and dependency on unsustainable energy sources in North West Europe.The project is developing sustainable technologies for algal biomass production, bioenergy and greenhouse gas mitigation, taking them from pilot facilities through to market-place products and services.
Capturing and representing knowledge from the EnAlgae project - Developing Decision Support Tools - presentation by Lynsey Melville
EnAlgae Decision Support Tool and Interactive Algal Growth Model
The Decision Support Toolset is a unique set of intuitive tools to inform and guide investors, technology developers, businesses, policy makers and researchers on micro and macro algae cultivation, featuring:
EnAlgae Documentary: Panning for Green Gold
EnAlgae has been about finding sustainable pathways for algal biomass. Initially the focus was all about energy, specifically as a biofuel. But our journey over the past four years shows that there's likely to be a different future ahead for using algae - as energy in food for one thing, and much more. Watch our half hour film to find out more.
The Algal Information Network (AIN)
The AIN role will be to develop productive and active initiatives which are able to contribute to the algae sector scale up in Europe. Among the wide set of information, news and documents available, this website hosts the first public databases of European actors in the algae market, from research centres to industrial end-users, associations and consultancy companies. In addition, the AIN website presents the Decision Support Tool, designed by EnAlgae: one of the most advanced IT Tools, able to provide precise concept studies for a preliminary investigation on the potential benefits of new algae facilities in the NWE region.
Making Sense of Complexity: Using SenseMaker as a Research Tool - by Susara E. Van der Merwe et.al (2019)
Related: https://cognitive-edge.com/sensemaker/ and https://spryng.io/
Best Practice Examples of Circular Business Models - by Eva Guldmann (2017)
"I used to think great teachers inspire you. Now I think I had it wrong. Good teachers inspire you; great teachers show you how to inspire yourself every day of your life. They don't show you their magic. They show you how to make magic of your own." - Alfred Doblin
“If you wish to meet yourself, observe your thoughts and reactions under unusual circumstances.” ~ Idries Shah
“When you do the common things in life in an uncommon way, you will command the attention of the world.” - George Washington Carver
Online Pro-Tip: Don't argue with people or get annoyed by their stuff, just Unsubscribe
Peppercorns: "System failures that are not bugs. Peppercorn in your soup VS fly in your soup, could be in design, but may still be unpleasant or unusual." - coined by @lawrennd
Information Phenomena in Serious Leisure - Research by Jenna Hartel
"In library and information science (LIS), we seek to understand the nature, organization, and use of information in life. Scholarship, to this end, has been unevenly distributed. Research has predominantly focused on academic or professional contexts, which are a narrow slice of the human experience. There are a minority of studies of information phenomena within everyday situations, and only a few about the universally cherished realm of leisure. As a result, theoretical insights about the engagement with information are unduly narrow and rational in character, and information provision to everyday life and leisure settings may fall short of potential. To broaden understanding and to better serve leisure audiences, I am exploring information phenomena in the context of serious leisure (Stebbins, 2001). To organize my research career, I draw upon the Serious Leisure Perspective (SLP), a grounded theory of leisure introduced in 1973 by sociologist Robert A. Stebbins. Serious leisure is the systematic pursuit of, "an activity that participants find so substantial and interesting that, in the typical case, they launch themselves on a leisure career centered on acquiring and expressing its special skills, knowledge, and experience" (Stebbins, 1992, p. 3)."
"iSquares bring information science into the Visual Information Age and create a richer multimedia genealogy for a beloved central concept. The study explores: 1) How do people visualize the concept of information?, 2) How do visual conceptions of information differ among various populations?, and 3) How do these images relate to conceptions of information made of words?"
Man-Dog-Machine - by Maja Smrekar (2019)
"Smrekar’s “!brute_force” – part of the human (un)limited exhibition by Hyundai & Ars Electronica in Beijing – deals with the relation man-dog-machine. The basic statement of the work is: Even if we need technology, our existence must not be limited to machines."
Mihai Nadin is a scholar and researcher in electrical engineering, computer science, aesthetics, semiotics, human-computer interaction (HCI), computational design, post-industrial society, and anticipatory systems. His publications on these topics number over 200, and he has lectured throughout the world. Currently Mihai Nadin is a professor at the University of Texas at Dallas. He is director of the Institute for Research in Anticipatory Systems.
His website: https://www.nadin.ws/
His research: https://www.researchgate.net/profile/Mihai_Nadin
Research Paper: "Semiotics is Fundamental Science" - by Mihai Nadin (2013) (PDF)
Abstract: There is no way to acquire, store, and disseminate knowledge other than semiotically. Yet semiotics is hardly acknowledged in science, and not at all as science. Were it not for the fame of a few writers (Barthes, Derrida, and especially Eco), associated more with the semiotics of culture, few would even know that such a knowledge domain exists. In the age of computers, genetics, and networks—all of underlying semiotic condition—semiotics would at best qualify as pertinent to an obscure past, but insignificant for current endeavors. Gnoseologically, there is little to gain from acknowledging the shortcomings of semiotics. Epistemologically, quite a bit is at stake in grounding semiotics among the fundamental sciences. For this to come about, new interrogations become necessary: Why knowledge? What is knowledge? What kind of knowledge? How is knowledge acquired? One way or another, the answer will acknowledge semiotic processes as a necessary factor. The perspective advanced in this chapter relies on an understanding of the living, and, in particular, of the human being, that ascertains anticipation as definitory. The future is made part of the present via semiotic processes. This is significant because in the age of neurons, suggestive of brain activity and of attempts to emulate it, to distinguish between knowledge supporting human activity, embodied in new technologies, and knowledge essential to the unfolding of the living becomes very difficult
Quotes from the paper:
"Semiotics is the awareness of change captured in representations. In terms of its meaning, it is the actions it informs."
"Nietzsche (cf. Colli & Montinari, 1975, p. 3) observed that “Our writing tools are also working, forming our thoughts.” As we program the world, we reprogram ourselve. [...] Associated with meaning, data becomes information."
"Semiotic awareness, which instantiates metacognition (knowing what we know) is nothing other than the realization that acting upon representations enhances the outcome of human activity."
"The human being “reads” nature as a “language” expression, and, in the process of knowing, generates new representations. Let us recall Lewis Mumford’s observations: No computer can make a new symbol out of its own resources,” (1967, p. 29)"
"From the perspective of knowledge, the following needs to be stated: If we could aggregate all representations we would still not capture the reality in its infinite level of detail; nor could we capture dynamics in its openendedness (not to say without affecting it). The living unfolds beyond our epistemological boundaries. We are part of it. Our change is part of a broader change, which, again, influences our own. The sequence is infinite. Therefore every representation contains the observed and the observer. If the representation is only a sign, dynamics is left out."
“The human brain has not changed at the anatomical level, but now it works differently,” (Togo & Cantelmi, 2012).
Expressed differently, semiotics is relevant for “engineering” interactions: recipes are the “shorthand” of cooking. They carry explicit instructions and implicit rules, that is, assumptions of shared experiences. Semiotics embodies the sharing, but does not substitute for the experience. The informational level corresponds to “fueling” the process, providing the energy. [...] Semiotics encodes in generating representations, and decodes in interpreting representations.
In this respect, law is a repetitive pattern. Physical phenomena are acceptably described in mathematical descriptions called laws. This is what Windelband (1894) defined as the nomothetic (derived from nomothé in Plato’s Cratylus, 360 BCE). The same cannot be said of living interactions, even if we acknowledge repetitive patterns. No living entity is identical with another. The living is infinitely diverse. Therefore, semiotics could qualify as the attempt to acknowledge diversity unfolding over time as the background for meaning, not for scientific truth. This is what Windelband defined as the idiographic. [...] Semiotic knowledge is about meaning as process.
Signs are “alive,” interacting with each other, self-reproducing as the context requires. Consequently, one might be inclined to see interaction processes mirrored into sign processes—or what Peirce called semiosis. But interactions are more than sign processes. Better yet: sign processes describe only the meaning of interactions, but not the energy processes under girding them.
When vitalism, as the doctrine of the élan vital (which some equate with the soul) was debunked, the questions of causality associated with the realization that the biosphere is not reducible to the physical were simply brushed aside. Over time, every scientist claiming that the living and non-living have a different dynamics was eliminated from the list of potential Nobel Prize nominees (and avoided). In recent years, this has started to change
Focusing on signs caused semiotics to miss its broader claim to legitimacy: to provide not only descriptions of the meaning of interactions, but also knowledge regarding the meaning of the outcome of interactions, the future.
As information theory—based on the en-compassing view that all there is, is subject to energy change—emerged (Shannon & Weaver, 1949), it took away from semiotics even the appearance of legitimacy. [...] But there is also a plus side to what Shannon suggested: Information theory made it so much more clear than any speculative approach that semiotics should focus on meaning and significance rather than on truth.
Parallel to this recognition is the need to assess meaning in such a manner that it becomes relevant to human activity. So far, methods have been developed for the experimental sciences: those based on proof, i.e., the expectation of confirmation and generalization. But there is nothing similar in respect to meaning, not even the realization that generalization is not possible; or that semiotic knowledge is not subject to proof, rather to an inquiry of its singularity. The nomothetic comprises positivism; the idiographic is the foundation of the constructivist understanding of the world (cf. Piaget, 1955; von Foerster, 1981).
Given the epistemological condition of mathematics, new evidence is not in the jargon of mathematics. A new mathematical concept or theorem is evidence. Probably more than science, mathematics is art. It is idiographic, not nomothetic knowledge. As we know from Turing and Gödel, it cannot be derived through machine operations (Hilbert’s challenge). If there is a cause for mathematics, it is the never-ending questioning of the world appropriated by the mind at the most concrete level: its representation. The outcome is abstraction. This is what informed Hausdorff (alias Paul Mongré) as he described human nature. There is, of course, right and wrong in mathematics, as there is right and wrong in art. But neither a Beethoven symphony nor Fermat’s conjecture (proven or not) is meant as a hypothesis to be experimentally confirmed. Each has an identity, i.e., a semiotic condition. Each establishes its own reality, and allows for further elaborations. Not to have heard Beethoven’s symphonies or not to have understood Fermat’s law does not cause bridges to collapse, or airplanes to miss their destinations.
Semiotics is not a discipline of proofs: The ambiguity of disease is reflected in the ambiguity of representations associated with disease. Better doctors are still “artists,” which is not the case with software programs that analyze test results. Diagnosis is semiotics, i.e., representation and interpretation of symptoms. They are both art and science. Machine diagnosis is information processing at work. Human diagnosis is the unity of information and meaning.
The goal is to make the reader aware of why even the most enthusiastic semioticians end up questioning the legitimacy of their pursuit.
15. INSIGNIFICANCE IS THE RESULT OF FAILED PRAGMATICS.
There are no evaluation criteria to help distinguish the “wheat” from the “chaff.” In the democratic model of science (semiotics and other fields), “Anything goes.” [...] What strikes the possible reader is the feeling that semiotics deals more with its own questions than with questions relevant to science, philosophy, or to today’s world.
Take only the still not concluded attempts to prove Fermat’s Theorem (most recently Colin McClarty, 2013). Fundamentally, the approach extends deep into the notion of representation. The very elaborate mathematical apparatus, at a level of abstraction that mathematics never reached before, makes the whole enterprise semiotically very relevant.[...] A question that begs the attention of semioticians is, “How far from the initial mathematical statement (Fermat’s Theorem) can the proof take place?” That is, how far can the representation of representation of representation, and so on extend the semiotic process before it becomes incoherent or incomprehensible?
Never before has language—in its general sense, not only as the language we speak—been as central to research as it is today. [...] Natural language is the most ubiquitous medium of interaction. It is involved in knowledge acquisition, in its expression, communication, and validation. Semiotics, if founded not around the sign concept—quite counter-intuitive when it comes to language (Where is the sign: the alphabet, the word, the sentence?)—but with the understanding of the interactions languages make possible, would contribute more than descriptions, usually of no consequence to anyone, and post facto explanations.
The subject ought to be understood as broadly as possible. This means that within the realm of the living, there is a whole gamut—from the mono-cell to homo faber—of representations to consider. Is there anything that qualifies as semiotically relevant across the various forms of the living? As already stated in the preliminaries, interaction is probably the most obvious aspect. At a closer look, the making of the living consists of integrated interactions—from the level of the cell to that of organisms. At all these levels, representations are exchanged. Therefore, semiotic processes appear as a characteristic of the whole (organism), but also as one among organisms (same or different).
Success and failure depend decisively more upon interpretation than upon the amount of data. An infinite amount of data cannot compensate for an error in interpretation. Machines are, by many orders of magnitude, better in processing information, but not really better than humans in interpreting it. They can handle way more data than the people who build them; but quantity does not automatically lead to improved comprehension. In a changing context, interpretation becomes consubstantial with dynamics. Machines do not change; humans (the living) change.
No information process (e.g., computer, sensor-based information harvesting, intelligent agents-based activities) is possible without representation. Representation is the definitory subject of semiotics. While electrons move through circuits, and while logic is emulated in hardware (circuits performing logical operations), operations on representations are the prerequisite for any information processing.
Brain imaging revealed that taxi drivers in some of the big cities (London was the first address researched), difficult to navigate, developed in the process measurable new faculties Indeed, the plasticity of the brains of those who navigate under the influence of GPS data changes (not always for the better). Of course, these changes are semiotic in nature: Understanding of representations and the ability to match goals and means (a request such as “Get me to Piccadilly in the shortest time,” involves quite a number of parameters) are semiotic processes. The emergence of GPS-based navigation might lead to the loss of some faculties. Semioticians should be aware of the fact that the world before maps and the world after maps became available are very different realities.
Indian Buddhism and Brahman-ism, the Christian infatuation with signs (St. Augustine’s De Doctrina Cristiana, 397 CE, and St. Anselm’s Monologion, 1075-1076; see Hopkins, 1986), and Avicenna’s explorations in medicine and theology remain documentary repositories of the many questions posed by two very simple questions: How can something in the world be “duplicated” in the mind? Take note: the question is not about signs, but about re-presentation.
Edward O. Wilson (1984) came up with a provocative statement of significance to semiotics: “Scientists do not discover in order to know, they know in order to discover.”
22. TAROT CARD READING IS NOT (YET) AN ACADEMIC DISCIPLINE. But it might become one. [...] Semiotics became the stage for literary critics, art historians, confused structuralists, and even for some linguists, mathematicians, and sociologists. Some philosophers also ventured on the stage. Before too late, we had the semiotics of feminism, multiculturalism, human rights, sexuality, food, and even the semiotics of wine; we had gay and lesbian semiotics, environmental semiotics, and even global warming or sustainability semiotics. But no semiotics!
23. THERE IS MORE TO INTERACTION THAN LANGUAGE
Preoccupation with what is called natural language affected the focus on the sign. It informed the reading of past attempts in semiotics in such a manner that what actually lies behind the sign is cast aside, never really recognized. All this rendered the notion of sign captive to an ideology that dominated semiotics from its beginnings. Simply stated, this ideology is logocratic. That is, it ascertains that every sign can be reduced to a language sign; moreover, that any interaction is language dependent.
If, finally, semiotics could in our days free itself from the obsession with sign-based language as object of its inquiry, it could help debunk quite a number of dogmatic positions.
The broad agreement that knowledge is expressed more and more in computational form could translate into a well-defined goal: express semiotic knowledge computationally. As such, the goal deserves attention because even though deterministic machines are inadequate for capturing nondeterministic processes, we can work towards conceiving new forms of processing that either mimic the living or even integrate the living (hybrid computation).
Computational semiotics (making reference to Dmitri Pospelov and Eugene Pendergraft, to James Albus, to “language games” behind which Wittgenstein is suspected, to Luis Rocha and Cliff Joslyn, and even to Leonid Perlovsky and his intelligent target tracker) is more than looking for justification for AI research, or for some computer-based terminology associated with signs. It would be encouraging to engage those interested in foundational aspects of semiotics in a computational effort. One possible result could be a semiotic engine conceived as a procedure for generating representations and for supporting interpretation processes. [...] However, if machine-generated representations were to trigger the claim of replacing the living processes leading to comprehensive dynamic representations of a changing world, we would face a real danger. In representing something, the living simultaneously re-presents itself. This contributes to the knowledge the outlook and the sense of future derived through human representations. Each representation, after all, embodies anticipation. Machines, regardless of their level of sophistication, do not anticipate.
24. IS THERE A SEMIOTIC METHOD? [...] This is an opportunity, as good as any, to spell out the alternative to the semiotics focused on the sign. I suggest that, instead of the atomistic view of a sign obsessed with semiotics, we adopt a dynamic view, of events succeeding in time. The notion that each event—such as perceiving an image, hear-ing a sound, experiencing a texture, etc.—is “made up” of signs is less important than the determination to integrate successive experi-ences. Narration is a historic record: event1, event2, event3. .
In this view, the series is made up of suc-ceeding signs. While each event is relevant, the focus is on the integrated series, more precisely, on its meaning. But more on a narration-based semiotics in the concluding part of this study.
27. NARRATION AND STORY: The most intuitive description of the narra-tive is the following: the record of a sequence of events as they succeed in time. The word (from the Latin narrare) means to recount. It suggests that a record of succeeding events in time, a time series, describes what individuals or groups accomplish and how. Therefore, each narrative adds up to knowledge, at least in the sense of documenting successful and less successful activities.
With the exception of Windelband (1915), almost no one has tried to define the distinction between narrative knowledge, corresponding to a historic record of change (idiographic), and scientific knowledge (nomothetic), cor-responding to our attempts to describe how reality works. The idiographic captures patterns of events; the nomothetic focuses on scientific law. Of course, those who accept the religion of determinism would like to transform the uniqueness of experience captured in the narration into laws, thus opening the avenue towards automating whatever we do.
Thesis 1: Narration is a record of change.
Thesis 2: Story is an open-ended process of interpreting narration.
Thesis 3: Narrations are representations of change.
Thesis 4: Stories are interpretations of the narration of change.
Thesis 5: The clock of narration and the clock of interpretation are different.
28. SEMIOTICS IS ABOUT THE MEANING OF CHANGE
Premise: Complement the cause-and-effect description of physical reality by a description characteristic of living systems. In living systems, the current state is determined not only by past and present, but also by their possible future states. Scientists are discovering more and more the significance of anticipatory characteristics (from the molecular level to the level of complex systems). As scientists try to endow matter and various mechanisms with intelligence, anticipation becomes more important, involving new forms of computation. Anticipation can be seen as a "second Cartesian revolution." (via http://anteinstitute.org)
Why is it a subject of research? Anticipation occurs in all spheres of life. It complements the physics of reaction with the pro-active quality of the living. Nature evolves in a continuous anticipatory fashion targeted at survival. The dynamics of stem cells demonstrate this mechanism. Through entailment from a basic stem cell an infinite variety of biological expression becomes possible.
Sometimes we humans are aware of anticipation, as when we plan. Often, we are not aware of it, as when processes embedded in our body and mind take place before we realize their finality. In tennis, for example, the return of a professional serve can be successful only through anticipatory mechanisms. A conscious reaction takes too long to process. Anticipation is the engine driving the stock market. Creativity in art and design are fired by anticipation. “The end is where we start from,” T. S. Eliot once wrote. Before the archer draws his bow, his mind has already hit the target. Motivation mechanisms in learning, the arts, and all types of research are dominated by the underlying principle that a future state—the result—controls present action, aimed at success. The entire subject of prevention entails anticipatory mechanisms. (via http://anticipation.info)
Anticipation and the Aging Car - Interview with Dr. Mihai Nadin'
A Theory of Change - The Acorn and the Stone - talk by Dr. Mihai Nadin (2014)
Related: Anticipation in Artificial Intelligence (wikipedia)
#KM #HCI #Science #Philosophy #Design #Creativity #Art #Architecture
Affordance is what the environment offers the individual. James J. Gibson, coined the term in his 1966 book, The Senses Considered as Perceptual Systems.
Images from Affordances: Clarifying and Evolving a Concept - by Joanna McGrenere (2000)
Eleanor (1910–2002) & James J. Gibson (1904–1979) were American psychologists who coined & expanded research on an ‘ecological approach’ to perceptual psychology. They positioned perception as shaped by environment & the way the observer reacts & interacts with it: Stimuli that prompt visual & sensory impressions were locally observed & directly perceived, rather than through neural or cognitive systems that involved evaluation and analysis.
Gibsonian ecological theory of development: "Gibson emphasized the importance of environment and context in learning and, together with husband and fellow psychologist James J. Gibson, argued that perception was crucial as it allowed humans to adapt to their environments. Gibson stated that "children learn to detect information that specifies objects, events, and layouts in the world that they can use for their daily activities". Thus, humans learn out of necessity. Children are information "hunter-gatherers", gathering information in order to survive and navigate in the world."
Related posts by Kai Pata
The following from the book "Understanding Context" - by Andrew Hinton: Chapter 4 - Perception, Cognition, and Affordance:
"In the Universe, there are things that are known, and things that are unknown, and in between there are doors." —WILLIAM BLAKE
The following from the review of the book "Action in perception, by Alva Noë" - by Patrick Mineault:
The author goes on to discuss some of the more radical aspects of Gibson’s ideas on the ecological approach to vision: “He [Gibson] argued that just as there is a fit between an animal and the environmental niche it occupies, thanks to the coevolution of animal and niche, so there is a tight perceptual attunement between animal and niche. Because of this attunement, animals are directly sensitive to the features of the world that afford the animal opportunities for action (What Gibson calls affordances).”
"Connecting with Specific Publics: Treating Communication Communicatively" - talk by Brenda Dervin, professor at The Ohio State University's School of Communications (2011)
Biographical Information: Brenda L. Dervin was born on November 20, 1938 . Dr. Dervin currently is Professor of Communication, and Joan N. Huber Faculty Fellow in Social and Behavioral Sciences in the School of Communication at Ohio State University. She has previously held posts on the communications faculty of Syracuse University and the University of Washington.
Education: Dr. Dervin received her BA in journalism and home economics from Cornell University in 1960. She went on to earn both a MA (1968) and a PhD (1971) in Communications Research from University of Michigan. Dervin was also awarded an honorary PhD in social sciences from the University of Helsinki in 2000.
Contribution to Reference: Dr. Dervin’s background in the field of communications has provided a unique vantage point at which to view the work of reference librarians. She has made significant contributions to the field of reference, specifically to the nature of the reference interview. Her research and writing focus on various aspects of how people make sense of their environments. Dr. Dervin’s development of a Sense-Making Methodology has been applied to numerous disciplines, including health communication (Teekman, 2000), understanding deaf culture (Linderman, 1996), feminist studies (Clark, 1999) and workplace processes (W-Y Cheuk, 1998).
Within the reference transaction, the Sense-Making Methodology frames the interaction between user and librarian as one in which the goal is to “bridge the gap.” Dervin’s research in this area explores the idea that people generally come to the reference transaction (or another instance of communication) with an obstacle or gap in understanding that serves as a fundamental block. The role of the reference librarian, Dervin argues, is to approach the reference transaction with a goal of understanding the “gap” from the user’s perspective. Through a series of query negotiations, the librarian attempts to paraphrase the information problem, and understand the context in which the question is being asked. The librarian must also determine the depth and scope of answer that is required, and elicits any relevant constraints. Such an approach may employ a mixture of Open Questions and Closed Ended Questions; though Dervin argues that a series of Neutral Questions ought to guide the interview, with the librarian careful to avoid imposing judgments or assumptions on the information need or the potential uses for the information.
Text via https://fsulis3267.fandom.com/wiki/Brenda_Dervin
Sense-Making Definition: According the homepage of the Sense-Making Methodology Site:
“Sense-Making is an approach to thinking about and implementing communication research and practice and the design of communication-based systems and activities. It consists of a set of philosophical assumptions, substantive propositions, methodological framings, and methods. It has been applied in myriad settings (e.g., libraries, information systems, media systems, web sites, public information campaigns, classrooms, counseling services, and so on), at myriad levels (e.g., intrapersonal, interpersonal, small group, organizational, mass, national, global), and within myriad perspectives (e.g., constructivist, critical, cultural, feminist, postmodern, communitarian).”(2005)
This extensive description explains the robust nature of this methodology. This definition is qualified by: “On this site, Sense-Making (capitalized) refers to the methodology; sense-making (not capitalized) refers to the phenomena of making and unmaking of sense. ” As Dervin notes in the Sense-Making Methodology Reader, the definition is continually in flux and adapts to accommodate new research. (Dervin, 1999).
Origins: Growing from Dervin’s post-doctoral research in communication, Sense-Making developed as an attempt to bridge the distance between the polarized camps of communications theory. Indebted to the work of communications theorist Richard F. Carter, University of Washington Professor Emeritus of Communication and his work in applying communication approaches to the communications field, this methodlogy is applicable across a wide range of disciplines.
Text via http://ucla245.pbworks.com/w/page/8751501/Sense-Making
"Complexity favoured increasing control under a monopoly of priests and the confinement of knowledge to special classes" - Harold Innis, in "Empire and Communication" (1950)
Argument maps are box-and-line diagrams that lay out visually reasoning and evidence for and against a statement or claim. A good map clarifies and organizes thinking by showing the logical relationships between thoughts that are expressed simply and precisely. Argument maps are driven by asking, ‘Should I believe that? Why, or why not?’.
A collection of mapping tools can be found at: https://www.mind-mapping.org
Related: Seven management and planning tools & Affinity Diagrams
#KM #Science #Philosophy #Education #Politics #Military #HCI #Design
The Reflect! platform - "Designed to organize reflective consensus building on wicked problems in small teams" - by Dr. Michael Hoffmann and the "Reflect! Lab" at Georgia Tech
AGORA-Net - a Computer-Supported Collaborative Argument Visualization (CSCAV) tool. An argument is defined here as a set of statements—a claim and one or more reasons—where the reasons jointly provide support for the claim, or are at least meant to support the claim.
#Comment: If you have advanced "sensemaking" infrastructure, but in praxis predominately use it to advance the narrow interests of the military industrial complex ("kill, surveil, control"), shouldn't it be called "nonsensemaking" instead?
#KM #HCI #Complexity #Science #Philosophy #Design #Military #Business