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The New Normal in Funding University Science | Issues in Science and Technology - 1 views

issues.org/...-in-funding-university-science open science paper
shared by Tiberius Brastaviceanu on 07 Aug 14 - No Cached
  • Government funding for academic research will remain limited, and competition for grants will remain high. Broad adjustments will be needed
  • he sequester simply makes acute a chronic condition that has been getting worse for years.
  • the federal budget sequester
  • ...72 more annotations...
  • systemic problems that arise from the R&D funding system and incentive structure that the federal government put in place after World War II
  • Researchers across the country encounter increasingly fierce competition for money.
  • unding rates in many National Institutes of Health (NIH) and National Science Foundation (NSF) programs are now at historical lows, declining from more than 30% before 2001 to 20% or even less in 2011
  • even the most prominent scientists will find it difficult to maintain funding for their laboratories, and young scientists seeking their first grant may become so overwhelmed that individuals of great promise will be driven from the field
  • anxiety and frustration
  • The growth of the scientific enterprise on university campuses during the past 60 years is not sustainable and has now reached a tipping point at which old models no longer work
  • Origins of the crisis
  • ederal funding agencies must work with universities to ensure that new models of funding do not stymie the progress of science in the United States
  • The demand for research money greatly exceeds the supply
  • the demand for research funding has gone up
  • The deeper sources of the problem lie in the incentive structure of the modern research university, the aspirations of scientists trained by those universities, and the aspirations of less research-intensive universities and colleges across the nation
  • competitive grants system
  • if a university wants to attract a significant amount of sponsored research money, it needs doctoral programs in the relevant fields and faculty members who are dedicated to both winning grants and training students
  • The production of science and engineering doctorates has grown apace
  • Even though not all doctorate recipients become university faculty, the size of the science and engineering faculty at U.S. universities has grown substantially
  • proposal pressure goes up
  • These strategies make sense for any individual university, but will fail collectively unless federal funding for R&D grows robustly enough to keep up with demand.
  • At the very time that universities were enjoying rapidly growing budgets, and creating modes of operation that assumed such largess was the new normal, Price warned that it would all soon come to a halt
  • the human and financial resources invested in science had been increasing much faster than the populations and economies of those regions
  • growth in the scientific enterprise would have to slow down at some point, growing no more than the population or the economy.
  • Dead-end solutions
  • studies sounded an alarm about the potential decline in U.S. global leadership in science and technology and the grave implications of that decline for economic growth and national security
  • Although we are not opposed to increasing federal funding for research, we are not optimistic that it will happen at anywhere near the rate the Academies seek, nor do we think it will have a large impact on funding rates
  • universities should not expect any radical increases in domestic R&D budgets, and most likely not in defense R&D budgets either, unless the discretionary budgets themselves grow rapidly. Those budgets are under pressure from political groups that want to shrink government spending and from the growth of spending in mandatory programs
  • The basic point is that the growth of the economy will drive increases in federal R&D spending, and any attempt to provide rapid or sustained increases beyond that growth will require taking money from other programs.
  • The demand for research money cannot grow faster than the economy forever and the growth curve for research money flattened out long ago.
  • Path out of crisis
  • The goal cannot be to convince the government to invest a higher proportion of its discretionary spending in research
  • Getting more is not in the cards, and some observers think the scientific community will be lucky to keep what it has
  • The potential to take advantage of the infrastructure and talent on university campuses may be a win-win situation for businesses and institutions of higher education.
  • Why should universities and colleges continue to support scientific research, knowing that the financial benefits are diminishing?
  • esearch culture
  • attract good students and faculty as well as raise their prestige
  • mission to expand the boundaries of human knowledge
  • faculty members are committed to their scholarship and will press on with their research programs even when external dollars are scarce
  • training
  • take place in
  • research laboratories
  • it is critical to have active research laboratories, not only in elite public and private research institutions, but in non-flagship public universities, a diverse set of private universities, and four-year colleges
  • How then do increasingly beleaguered institutions of higher education support the research efforts of the faculty, given the reality that federal grants are going to be few and far between for the majority of faculty members? What are the practical steps institutions can take?
  • change the current model of providing large startup packages when a faculty member is hired and then leaving it up to the faculty member to obtain funding for the remainder of his or her career
  • universities invest less in new faculty members and spread their internal research dollars across faculty members at all stages of their careers, from early to late.
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Aug 14
       
      Sharing of resources, see SENSORICA's NRP
  • national conversation about changes in startup packages and by careful consultations with prospective faculty hires about long-term support of their research efforts
  • Many prospective hires may find smaller startup packages palatable, if they can be convinced that the smaller packages are coupled with an institutional commitment to ongoing research support and more reasonable expectations about winning grants.
  • Smaller startup packages mean that in many situations, new faculty members will not be able to establish a functioning stand-alone laboratory. Thus, space and equipment will need to be shared to a greater extent than has been true in the past.
  • construction of open laboratory spaces and the strategic development of well-equipped research centers capable of efficiently servicing the needs of an array of researchers
  • phaseout of the individual laboratory
  • enhanced opportunities for communication and networking among faculty members and their students
  • Collaborative proposals and the assembly of research teams that focus on more complex problems can arise relatively naturally as interactions among researchers are facilitated by proximity and the absence of walls between laboratories.
  • An increased emphasis on team research
  • investments in the research enterprise
  • can be directed at projects that have good buy-in from the faculty
  • learn how to work both as part of a team and independently
  • Involvement in multiple projects should be encouraged
  • The more likely trajectory of a junior faculty member will evolve from contributing team member to increasing leadership responsibilities to team leader
  • nternal evaluations of contributions and potential will become more important in tenure and promotion decisions.
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Aug 14
       
      Need value accounting system
  • relationships with foundations, donors, state agencies, and private business will become increasingly important in the funding game
  • The opportunities to form partnerships with business are especially intriguing
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Aug 14
       
      The problem is to change the model and go open source, because IP stifles other processes that might benefit Universities!!!
  • Further complicating university collaborations with business is that past examples of such partnerships have not always been easy or free of controversy.
  • some faculty members worried about firms dictating the research priorities of the university, pulling graduate students into proprietary research (which could limit what they could publish), and generally tugging the relevant faculty in multiple directions.
  • developed rules and guidelines to control them
  • University faculty and businesspeople often do not understand each other’s cultures, needs, and constraints, and such gaps can lead to more mundane problems in university/industry relations, not least of which are organizational demands and institutional cultures
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Aug 14
       
      Needs for mechanisms to govern, coordinate, structure an ecosystem -See SENSORICA's Open Alliance model
  • n addition to funding for research, universities can receive indirect benefits from such relationships. High-profile partnerships with businesses will underline the important role that universities can play in the economic development of a region.
  • Universities have to see firms as more than just deep pockets, and firms need to see universities as more than sources of cheap skilled labor.
  • foundations or other philanthropy
  • We do not believe that research proposed and supervised by individual principal investigators will disappear anytime soon. It is a research model that has proven to be remarkably successful and enduring
  • However, we believe that the most vibrant scientific communities on university and college campuses, and the ones most likely to thrive in the new reality of funding for the sciences, will be those that encourage the formation of research teams and are nimble with regard to funding sources, even as they leave room for traditional avenues of funding and research.
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James Grier Miller, Living Systems (1978) - 0 views

www.panarchy.org/...livingsystems.html Grier Miller living systems theory concepts paper
shared by Tiberius Brastaviceanu on 23 Jun 11 - No Cached
  • reality as an integrated hierarchy of organizations of matter and energy
  • General living systems theory is concerned with a special subset of all systems, the living ones
  • a space is a set of elements which conform to certain postulate
  • ...266 more annotations...
  • s. Euclidean space
  • metric space
  • topological space
  • Physical space is the extension surrounding a point
  • My presentation of a general theory of living systems will employ two sorts of spaces in which they may exist, physical or geographical space and conceptual or abstracted spaces
  • Physical or geographical space
  • Euclidean space
  • distance
  • moving
  • maximum speed
  • objects moving in such space cannot pass through one another
  • friction
  • The characteristics and constraints of physical space affect the action of all concrete systems, living and nonliving.
  • information can flow worldwide almost instantly
  • Physical space is a common space
  • Most people learn that physical space exists, which is not true of many spaces
  • They can give the location of objects in it
  • Conceptual or abstracted spaces
  • Peck order
  • Social class space
  • Social distance
  • Political distance
  • life space
  • semantic space
  • Sociometric space
  • A space of time costs of various modes of transportation
  • space of frequency of trade relations among nations.
  • A space of frequency of intermarriage among ethnic groups.
  • These conceptual and abstracted spaces do not have the same characteristics and are not subject to the same constraints as physical space
  • Social and some biological scientists find conceptual or abstracted spaces useful because they recognize that physical space is not a major determinant of certain processes in the living systems they study
  • interpersonal relations
  • one cannot measure comparable processes at different levels of systems, to confirm or disconfirm cross-level hypotheses, unless one can measure different levels of systems or dimensions in the same spaces or in different spaces with known transformations among them
  • It must be possible, moreover, to make such measurements precisely enough to demonstrate whether or not there is a formal identity across levels
  • fundamental "fourth dimension" of the physical space-time continuum
  • is the particular instant at which a structure exists or a process occurs
  • or the measured or measurable period over which a structure endures or a process continues.
  • durations
  • speeds
  • rates
  • accelerations
  • irreversible unidirectionality of time
  • thermodynamics
  • negentropy
  • "time's arrow."
  • Matter and energy
  • Matter is anything which has mass (m) and occupies physical space.
  • Energy (E) is defined in physics as the ability to do work.
  • kinetic energy
  • potential energy
  • rest mass energy
  • Mass and energy are equivalent
  • Living systems need specific types of matter-energy in adequate amounts
  • Energy for the processes of living systems is derived from the breakdown of molecules
  • Any change of state of matter-energy or its movement over space, from one point to another, I shall call action.
  • It is one form of process.
  • information (H)
  • Transmission of Information
  • Meaning is the significance of information to a system which processes it: it constitutes a change in that system's processes elicited by the information, often resulting from associations made to it on previous experience with it
  • Information is a simpler concept: the degrees of freedom that exist in a given situation to choose among signals, symbols, messages, or patterns to be transmitted.
  • The set of all these possible categories (the alphabet) is called the ensemble or repertoire
  • .) The unit is the binary digit, or bit of information
  • . The amount of information is measured as the logarithm to the base 2 of the number of alternate patterns
  • Signals convey information to the receiving system only if they do not duplicate information already in the receiver. As Gabor says:
  • [The information of a message can] be defined as the 'minimum number of binary decisions which enable the receiver to construct the message, on the basis of the data already available to him.'
  • meaning cannot be precisely measured
  • Information is the negative of uncertainty.
  • information is the amount of formal patterning or complexity in any system.
  • The term marker was used by von Neumann to refer to those observable bundles, units, or changes of matter-energy whose patterning bears or conveys the informational symbols from the ensemble or repertoire.
  • If a marker can assume n different states of which only one is present at any given time, it can represent at most log2n bits of information. The marker may be static, as in a book or in a computer's memory
  • Communication of almost every sort requires that the marker move in space, from the transmitting system to the receiving system, and this movement follows the same physical laws as the movement of any other sort of matter-energy. The advance of communication technology over the years has been in the direction of decreasing the matter-energy costs of storing and transmitting the markers which bear information.
  • There are, therefore, important practical matter-energy constraints upon the information processing of all living systems exerted by the nature of the matter-energy which composes their markers.
  • organization is based upon the interrelations among parts.
  • If two parts are interrelated either quantitatively or qualitatively, knowledge of the state of one must yield some information about the state of the other. Information measures can demonstrate when such relationships exist
  • The disorder, disorganization, lack of patterning, or randomness of organization of a system is known as its entropy (S)
  • the statistical measure for the negative of entropy is the same as that for information
  • entropy becomes a measure of the probability
  • Increase of entropy was thus interpreted as the passage of a system from less probable to more probable states.
  • according to the second law, a system tends to increase in entropy over time, it must tend to decrease in negentropy or information.
  • therefore no principle of the conservation of information
  • The total information can be decreased in any system without increasing it elsewhere
  • but it cannot be increased without decreasing it elsewhere
  • . Making one or more copies of a given informational pattern does not increase information overall, though it may increase the information in the system which receives the copied information.
  • transforms information into negative entropy
  • smallest possible amount of energy used in observing one bit of information
  • calculations of the amount of information accumulated by living systems throughout growth.
  • the concept of Prigogine that in an open system (that is one in which both matter and energy can be exchanged with the environment) the rate of entropy production within the system, which is always positive, is minimized when the system is in a steady state.
  • in systems with internal feedbacks, internal entropy production is not always minimized when the system is in a stationary state. In other words, feedback couplings between the system parameters may cause marked changes in the rate of development of entropy. Thus it may be concluded that the "information flow" which is essential for this feedback markedly alters energy utilization and the rate of development of entropy, at least in some such special cases which involve feedback control. While the explanation of this is not clear, it suggests an important relationship between information and entropy
  • amount of energy actually required to transmit the information in the channel is a minute part of the total energy in the system, the "housekeeping energy" being by far the largest part of it
  • In recent years systems theorists have been fascinated by the new ways to study and measure information flows, but matter-energy flows are equally important. Systems theory is more than information theory, since it must also deal with energetics - such matters as
  • the flow of raw materials through societies
  • Only a minute fraction of the energy used by most living systems is employed for information processing
  • I have noted above that the movement of matter-energy over space, action, is one form of process. Another form of process is information processing or communication, which is the change of information from one state to another or its movement from one point to another over space
  • Communications, while being processed, are often shifted from one matter-energy state to another, from one sort of marker to another
  • transformations go on in living systems
  • One basic reason why communication is of fundamental importance is that informational patterns can be processed over space and the local matter-energy at the receiving point can be organized to conform to, or comply with, this information
  • the delivery of "flowers by telegraph."
  • Matter-energy and information always flow together
  • Information is always borne on a marker
  • . Conversely there is no regular movement in a system unless there is a difference in potential between two points, which is negative entropy or information
  • If the receiver responds primarily to the material or energic aspect, I shall call it, for brevity, a matter-energy transmission; if the response is primarily to the information, I shall call it an information transmission
  • Moreover, just as living systems must have specific forms of matter-energy, so they must have specific patterns of information
  • example
  • example
  • develop normally
  • have appropriate information inputs in infancy
  • pairs of antonyms
  • one member of which is associated with the concept of information (H)
  • the other member of which is associated with its negative, entropy (S)
  • System
  • A system is a set of interacting units with relationships among them
  • .The word "set" implies that the units have some common properties. These common properties are essential if the units are to interact or have relationships. The state of each unit is constrained by, conditioned by, or dependent on the state of other units. The units are coupled. Moreover, there is at least one measure of the sum of its units which is larger than the sum of that measure of its units.
  • Conceptual system
  • Units
  • terms
  • Relationships
  • a set of pairs of units, each pair being ordered in a similar way
  • expressed by words
  • or by logical or mathematical symbols
  • operations
  • The conceptual systems of science
  • observer
  • selects
  • particular sets to study
  • Variable
  • Each member of such a set becomes a variable of the observer's conceptual system
  • conceptual system may be loose or precise, simple or elaborate
  • Indicator
  • an instrument or technique used to measure fluctuations of variables in concrete systems
  • Function
  • a correspondence between two variables, x and y, such that for each value of x there is a definite value of y, and no two y's have the same x, and this correspondence is: determined by some rule
  • Any function is a simple conceptual system
  • Parameter
  • An independent variable through functions of which other functions may be expressed
  • The state of a conceptual system
  • the set of values on some scale, numerical or otherwise, which its variables have at a given instant
  • Formal identity
  • variables
  • varies comparably to a variable in another system
  • If these comparable variations are so similar that they can be expressed by the same function, a formal identity exists between the two systems
  • Relationships between conceptual and other sorts of systems
  • Science advances as the formal identity or isomorphism increases between a theoretical conceptual system and objective findings about concrete or abstracted systems
  • A conceptual system may be purely logical or mathematical, or its terms and relationships may be intended to have some sort of formal identity or isomorphism with units and relationships empirically determinable by some operation carried out by an observer
  • Concrete system
  • a nonrandom accumulation of matter-energy, in a region in physical space-time, which is organized into interacting interrelated subsystems or components.
  • Units
  • are also concrete systems
  • Relationships
  • spatial
  • temporal
  • spatiotemporal
  • causal
  • Both units and relationships in concrete systems are empirically determinable by some operation carried out by an observer
  • patterns of relationships or processes
  • The observer of a concrete system
  • distinguishes a concrete system from unorganized entities in its environment by the following criteria
  • physical proximity of its units
  • similarity of its units
  • common fate of its units
  • distinct or recognizable patterning of its units.
  • Their boundaries are discovered by empirical operations available to the general scientific community rather than set conceptually by a single observer
  • Variable of a concrete system
  • Any property of a unit or relationship within a system which can be recognized by an observer
  • which can potentially change over time, and whose change can potentially be measured by specific operations, is a variable of a concrete system
  • Examples
  • number of its subsystems or components, its size, its rate of movement in space, its rate of growth, the number of bits of information it can process per second, or the intensity of a sound to which it responds
  • A variable is intrasystemic
  • not to be confused with intersystemic variations which may be observed among individual systems, types, or levels.
  • The state of a concrete system
  • its structure
  • represented by the set of values on some scale which its variables have at that instant
  • Open system
  • Most concrete systems have boundaries which are at least partially permeable, permitting sizable magnitudes of at least certain sorts of matter-energy or information transmissions to pass them. Such a system is an open system. In open systems entropy may increase, remain in steady state, or decrease.
  • Closed system
  • impermeable boundaries through which no matter-energy or information transmissions of any sort can occur is a closed system
  • special case
  • No actual concrete system is completely closed
  • In closed systems, entropy generally increases, exceptions being when certain reversible processes are carried on which do not increase it. It can never decrease.
  • Nonliving system
  • the general case of concrete systems, of which living systems are a very special case. Nonliving systems need not have the same critical subsystems as living systems, though they often have some of them
  • Living system
  • a special subset of the set of all possible concrete systems
  • They all have the following characteristics:
  • open systems
  • inputs
  • throughputs
  • outputs
  • of various sorts of matter-energy and information.
  • maintain a steady state of negentropy even though entropic changes occur in them as they do everywhere else
  • by taking in inputs
  • higher in complexity or organization or negentropy
  • than their outputs
  • The difference permits them to restore their own energy and repair breakdowns in their own organized structure.
  • In living systems many substances are produced as well as broken down
  • To do this such systems must be open and have continual inputs of matter-energy and information
  • entropy will always increase in walled-off living systems
  • They have more than a certain minimum degree of complexity
  • They either contain genetic material composed of deoxyribonucleic acid (DNA)
  • or have a charter
  • blueprint
  • program
  • of their structure and process from the moment of their origin
  • may also include nonliving components.
  • They have a decider, the essential critical sub-system which controls the entire system, causing its subsystems and components to interact. Without such interaction under decider control there is no system.
  • other specific critical sub-systems or they have symbiotic or parasitic relationships with other living or nonliving systems
  • Their subsystems are integrated together to form actively self-regulating, developing, unitary systems with purposes and goals
  • They can exist only in a certain environment
  • change in their environment
  • produces stresses
  • Totipotential system
  • capable of carrying out all critical subsystem processes necessary for life is totipotential
  • Partipotential system
  • does not itself carry out all critical subsystem processes is partipotential
  • A partipotential system must interact with other systems that can carry out the processes which it does not, or it will not survive
  • parasitic
  • symbiotic
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 25 Jun 11
       
      The Exchange fime is a symbiotic system to SENSORICA
  • Fully functioning system
  • when it
  • Partially functioning system
  • it must do its own deciding, or it is not a system
  • Abstracted system
  • Units
  • relationships abstracted or selected by an observer in the light of his interests, theoretical viewpoint, or philosophical bias.
  • Some relationships may be empirically determinable by some operation carried out by the observer, but others are not, being only his concepts
  • Relationships
  • The relationships mentioned above are observed to inhere and interact in concrete, usually living, systems
  • these concrete systems are the relationships of abstracted systems.
  • The verbal usages of theoretical statements concerning abstracted systems are often the reverse of those concerning concrete systems
  • An abstracted system differs from an abstraction, which is a concept
  • representing a class of phenomena all of which are considered to have some similar "class characteristic." The members of such a class are not thought to interact or be interrelated, as are the relationships in an abstracted system
  • Abstracted systems are much more common in social science theory than in natural science.
  • are oriented toward relationships rather than toward the concrete systems
  • spatial arrangements are not usually emphasized
  • their physical limits often do not coincide spatially with the boundaries of any concrete system, although they may.
  • important difference between the physical and biological hierarchies, on the one hand, and social hierarchies, on the other
  • Most physical and biological hierarchies are described in spatial terms
  • we propose to identify social hierarchies not by observing who lives close to whom but by observing who interacts with whom
  • intensity of interaction
  • in most biological and physical systems relatively intense interaction implies relative spatial propinquity
  • To the extent that interactions are channeled through specialized communications and transportation systems, spatial propinquity becomes less determinative of structure.
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 25 Jun 11
       
      This is the case of SENSORICA, built on web-based communication and coordination tools. 
  • PARSONS
  • the unit of a partial social system is a role and not the individual.
  • culture
  • cumulative body of knowledge of the past, contained in memories and assumptions of people who express this knowledge in definite ways
  • The social system is the actual habitual network of communication between people.
  • RUESCH
  • A social system is a behavioral system
  • It is an organized set of behaviors of persons interacting with each other: a pattern of roles.
  • The roles are the units of a social system
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 25 Jun 11
       
      That is why we need a role system in SENSORICA
  • On the other hand, the society is an aggregate of social subsystems, and as a limiting case it is that social system which comprises all the roles of all the individuals who participate.
  • What Ruesch calls the social system is something concrete in space-time, observable and presumably measurable by techniques like those of natural science
  • To Parsons the system is abstracted from this, being the set of relationships which are the form of organization. To him the important units are classes of input-output relationships of subsystems rather than the subsystems themselves
  • system is a system of relationship in action, it is neither a physical organism nor an object of physical perception
  • evolution
  • differentiation
  • growth
  • from earlier and simpler forms and functions
  • capacities for specializations and gradients
  • [action] is not concerned with the internal structure of processes of the organism, but is concerned with the organism as a unit in a set of relationships and the other terms of that relationship, which he calls situation
  • Abstracted versus concrete systems
  • One fundamental distinction between abstracted and concrete systems is that the boundaries of abstracted systems may at times be conceptually established at regions which cut through the units and relationships in the physical space occupied by concrete systems, but the boundaries of these latter systems are always set at regions which include within them all the units and internal relationships of each system
  • A science of abstracted systems certainly is possible and under some conditions may be useful.
  • If the diverse fields of science are to be unified, it would be helpful if all disciplines were oriented either to concrete or to abstracted systems.
  • It is of paramount importance for scientists to distinguish clearly between them
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Science Exchange Jobs - AngelList - 1 views

angel.co/...jobs investors science exchange jobs
shared by Francois Bergeron on 17 Mar 14 - No Cached
  • Francois Bergeron on 17 Mar 14
     
    "Science Exchange is a community marketplace for scientists to list, discover, access and pay for scientific services from institutions around the world. Our mission is to improve the efficiency of scientific research by making it easy for researchers to access the global network of scientific resources and expertise. We do this by connecting researchers looking to get experiments conducted with scientific service providers who have the capacity to conduct those experiments."
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Fostering creativity. A model for developing a culture of collective creativity in science - 0 views

www.ncbi.nlm.nih.gov/...PMC1808036 open science paper
shared by Tiberius Brastaviceanu on 05 Aug 14 - No Cached
  • Scientific progress depends on both conceptual and technological advances, which in turn depend on the creativity of scientists
  • creative processes behind these discoveries rely on mechanisms that are similar across disciplines as diverse as art and science
  • research into the nature of creativity indicates that it depends strongly on the cultural environment
  • ...48 more annotations...
  • create optimal conditions in a research organization with the aim of enhancing the creativity of its scientific staff
  • Creativity has been traditionally associated with art and literature but since the early twentieth century, science has also been regarded as a creative activity
  • Measuring creativity is a challenging task owing to its complex and elusive nature
  • Measurement of brain activity showed that creativity correlates with two brain states: a quiescent, relaxed state corresponding to the inspiration stage, and a much more active state corresponding to the elaboration stage
  • models of creativity
  • have a common feature: they depend on a balance between analytical and synthetic thinking, and usually describe the creative process as a sequence of phases that alternate between these states
  • Most research on creativity has focused on the individual
  • However, more recent studies suggest that creativity also depends strongly on the social and cultural context
  • breakthroughs depended on collaboration and social support
  • social environment in business organizations affects the creativity of their employees
  • Although creative individuals are essential, the strong link with the environment indicates that creativity might be greatly enhanced by generating a culture that supports the creative process.
  • Many of the interviewees repeatedly emphasized three main qualities necessary to be a good scientist: rigorous intellect, the ability to get the job done and the ability to have creative ideas.
  • almost all interviewees characterized their breakthrough moment as an abrupt leap in understanding
  • Although breakthroughs in science depend on such an ‘internal' conceptual shift, they also rely on ‘external' experimental results. However, most interviewees described their breakthroughs as largely internal:
  • Only two scientists expressed the view that their breakthroughs were purely external events, based on the observation of novel data.
  • intuition
  • must be combined with rational thinking to be effective
  • Although the synthesis of a new concept relies on intuition, which is based on subconscious mental processing, it must be subjected to conscious examination and analysis
  • specific mental skills or attitudes
  • ability to make unexpected connections
  • ability to choose relevant possibilities from an infinite set of irrelevant ones
  • interest in the unknown'
  • enjoyment of the creative process
  • stimulation by interacting with colleagues
  • undoubtedly the most crucial trait for creativity, which thrives on the exchange of ideas
  • The majority felt that the individual and the collective are equally important:
  • what interactions are optimal for creativity
  • The majority of interviewees answered that other people provided them with ‘inspiration to do something new'
  • positive feedback after the emergence of a new idea is almost as important as the inspiration that triggered it
  • collective provides the individual with technical expertise
  • Therefore, scientists would value a culture of interaction and mutual inspiration more highly than access to technology, although the latter is essential for their experiments.
  • At the end of the interviews, each scientist was asked to describe the best possible conditions for generating creativity at a research institute.
  • Cross-fertilization is absolutely essential
  • These results indicate strongly that an interactive environment is the single most important factor for stimulating creativity
  • interacting with people doing very different things
  • interacting with colleagues informally
  • interactions within any institution are strongly affected by its organization
  • Several interviewees described ‘an open hierarchy' as an important factor for creativity
  • hierarchy is based on genuine respect because people are great scientists, but at the same time they're very approachable and open towards what you have to say
  • These results suggest that the best conditions for scientific creativity come with a free-flowing hierarchy and a highly developed culture of interaction to guarantee the exchange of ideas and inspiration.
  • Furthermore, interdisciplinary interactions lead to the generation of new and unusual ideas
  • Finally, because of the freedom to try new things, these ideas can be tested and eventually generate new insights.
  • Creativity can be described as an emergent phenomenon
  • nonlinear phenomena
  • Emergence depends on dynamic interactions between individual agents within the system
  • The importance of a ‘freedom to try new things' and a ‘free-flowing hierarchy' further supports the idea that individual components in an emergent system must be able to interact flexibly without central control
  • During the interviews, it became apparent that although a culture of interaction and creativity exists at EMBL, this itself is not often the subject of discussion. The values on which this culture is based are seemingly implicit rather than explicit
  • Potentially, the EMBL culture of interaction could be strengthened further by consciously expressing and discussing the values on which it is based
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Innovative schemes for open innovation and science 2.0 INSO-4-2015 - 0 views

ec.europa.eu/...2475-inso-4-2015.html horizon 2020 proposal Tibi's selection Mai
shared by Tiberius Brastaviceanu on 02 Jun 14 - No Cached
  • Topic: Innovative schemes for open innovation and science 2.0 INSO-4-2015
  • open innovation and science 2.0
  • assist universities to become open innovation centres for their region in cooperation with companies, realising the ERA priorities, and to enable public administrations to drive innovation in and through the public sector.
  • ...16 more annotations...
  • help universities, companies and public authorities to enhance their capacity to engage in science 2.0 and open innovation.
  • effective linkages for innovation between universities and companies and other employment sectors, and provide freely accessible innovation training platforms, including digital platforms. 
  • consortia
  • adopt innovative ways to create new knowledge, new jobs and promote economic growth
  • a). Inter-sectoral mobility
  • b) Academia- Business knowledge co-creation
  • c) Innovation leadership programme for public administrations and researchers
  • a policy of double nominations
  • a policy to further and recognise inter-sectoral mobility
  • This challenge can be addressed through different sets of actions:
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 02 Jun 14
       
      the sub-sections are not addressed at once.
  • develop or (further) implement open innovative schemes to strengthen linkages between academia, industry and community
  • Research institutions together with companies are expected to build sustainable structures which help to absorb needs of users and thereby become co-creators of new solutions.  SMEs should be encouraged to participate.
  • Gender aspects need to be taken into account.
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 02 Jun 14
       
      This is something that really fits SENSORICA. We've been working on this for 2 years now. 
  • developing curricula and providing freely through online platforms, possibly combined with other delivery mechanisms, innovation training for public administrations and researchers.
  • Tiberius Brastaviceanu on 02 Jun 14
     
    "Topic: Innovative schemes for open innovation and science 2.0 INSO-4-2015"
5More

All's Not Fair in Science and Publishing | The Scientist Magazine® - 0 views

www.the-scientist.com/?articles.view/articleNo/32287/title/All-s-Not-Fair-in-Science-and-Publishing/ open science paper
shared by Francois Bergeron on 02 Jan 13 - No Cached
  • My takeaway lesson was that the safest strategy was to divulge my results only after they were accepted for publication. And I’m sure I’m not the only one who feels this way. Science is too often a cutthroat venture, with publications as the currency for measuring one’s success. But with everyone keeping their findings secret until they have been approved by the peer-review process, aren’t we slowing the course of scientific discovery?
  • Scientists have failed to establish clear mores for crediting discoveries
  • Many believe that false attribution is actually increasing in frequency, likely motivated by the steady decrease in grant-funding rates.
  • ...2 more annotations...
  • Open Network
  • If scientific administrators aspire to accelerate innovation by encouraging team science, they must address this issue. Our university system should reward scientists who are honest and fair in their dealings with fellow investigators.  Specific protocols for guiding research and managing disagreements must be designed. Accurate laboratory records should reflect appropriate credit, and websites sponsored by international scientific organizations should be similarly designed to display accurate attribution of preliminary scientific discoveries. In addition, journals could post final drafts of papers before publication, allowing anonymous comments during a probationary period. If a substantive objection arises, the journal should require revisions or even reject the paper.
1More

Scientist beams up a real Star Trek tricorder | Reuters - 1 views

www.reuters.com/...ricorder-idUSBRE83C1FK20120413 sensor_technology open_source medical_applications
shared by Steve Bosserman on 13 Apr 12 - No Cached
  • Steve Bosserman on 13 Apr 12
     
    While it may sound like the stuff of science fiction, Jansen isn't the only one to take notice of just how useful a real functioning tricorder would be - especially as a medical tool. Telecommunications giant Qualcomm Inc this year launched the "Tricorder X-Prize Contest" with the slogan "Healthcare in the palm of your hand." Qualcomm hopes to motivate developers with a $10 million prize to make medical tricorders a reality. Wanda Moebus of the Advanced Medical Technology Association, who is not affiliated with Jansen or Qualcomm, told Reuters the X-Prize "is really cool," but cautioned that making a real medical tricorder device "would have to be measured on its safety and effect, like all other medical technologies." Jansen said he has been approached by "a couple of teams" about the X Prize, but added that his prototypes are more for science research than medical tools. Besides, he said he already is on to his next frontier, making a sort of "replicator," another "Star Trek" device that will create 3D objects and foods that are dimensional copies of real items. Jansen's "replicator" is a 3D printer, which in itself is not really new, but the scientist thinks about it in terms reminiscent of "Star Trek's" famous prologue. It's "like nothing we've ever seen before," Jansen said.
46More

Science and Technology Consultation - Industry Canada - 0 views

www.ic.gc.ca/...h_07416.html Industry Canada
shared by Tiberius Brastaviceanu on 15 Jan 14 - No Cached
  • Under this strategy
    • Yasir Siddiqui
      Yasir Siddiqui on 15 Jan 14
       
      Testing
    • Yasir Siddiqui
      Yasir Siddiqui on 15 Jan 14
       
      testing
  • Genome Canada, the Canadian Institute for Advanced Research and the Canada Foundation for Innovation.
  • Still, Canadian businesses continue to underperform when it comes to innovation—a primary driver of productivity growth—when compared to other competing nations. The performance of business R&D is one oft-cited measure used to gauge the level of innovative activity in a country's business sector.
  • ...38 more annotations...
  • Canadians have reached top tier global performance in reading, mathematics, problem solving and science, and Canada has rising numbers of graduates with doctoral degrees in science and engineering.
  • This valuable resource of highly qualified and skilled individuals needs to be better leveraged.
  • The ease and ability of the academic community to collaborate, including through research networks, is also well-recognized.
  • to develop technologies, products and services that add value and create high-paying jobs.
  • Canada has an impressive record when it comes to research and the quality of its knowledge base.
  • Still, the innovative performance of Canada's firms and the productivity growth continue to lag behind competing nations.
  • The government is also committed to moving forward with a new approach to promoting business innovation—one that emphasizes active business-led initiatives and focuses resources on better fostering the growth of innovative firms.
  • Achieving this requires the concerted effort of all players in the innovation system—to ensure each does what one does best and to leverage one another's strengths.
  • the government has invested more to support science, technology and innovative companies than ever before
  • Canada must become more innovative
    • Kurt Laitner
      Kurt Laitner on 15 Jan 14
       
      problem statement
  • providing a new framework to guide federal ST&I investments and priorities. That is why the Government of Canada stated its intention to release an updated ST&I Strategy in the October 2013 Speech from the Throne.
    • Kurt Laitner
      Kurt Laitner on 15 Jan 14
       
      exercise
  • seeking the views of stakeholders from all sectors of the ST&I system—including universities, colleges and polytechnics, the business community, and Canadians
  • written submissions from all Canadians on the policy issues and questions presented in this paper.
  • The government remains focused on creating jobs, growth and long-term prosperity for Canadians
  • encouraging partnerships with industry, attracting highly skilled researchers, continuing investments in discovery-driven research, strengthening Canada's knowledge base, supporting research infrastructure and providing incentives to private sector innovation.
  • has transformed the National Research Council, doubled its investment
  • supported research collaborations through the federal granting councils
  • created the new Venture Capital Action Plan
  • helping to promote greater commercialization of research and development
  • Our country continues to lead the G7 in spending on R&D
  • Canada has a world-class post-secondary education system that embraces and successfully leverages collaboration with the private sector, particularly through research networks
  • destination for some of the world's brightest minds
  • global race
  • businesses that embrace innovation-based strategies
  • post-secondary and research institutions that attract and nurture highly qualified and skilled talent
  • researchers who push the frontiers of knowledge
  • governments that provide the support
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Feb 14
       
      Why a race? We need to change the way we see this!!! We need to open up. See the European Commission Horizon 2020 program  http://ec.europa.eu/programmes/horizon2020/en/ They are acknowledging that Europe cannot do it alone, and are spending money on International collaboration. 
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Feb 14
       
      There is nothing about non-institutionalized innovation, i.e. open source! There is nothing about the public in this equation like the Europeans do in the Digital Era for Europe program  https://ec.europa.eu/digital-agenda/node/66731 
  • low taxes, strong support for new businesses, a soundly regulated banking system, and ready availability of financial services
  • reducing red tape
  • expanding training partnerships and improving access to venture capital.
  • Collaboration is key to mobilizing innovation
  • invest in partnerships between businesses and colleges and universities
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Feb 14
    • Tiberius Brastaviceanu
      Tiberius Brastaviceanu on 07 Feb 14
       
      But the public and in people is still not in sight of the fed gov. 
  • Economic Action Plans (EAP) 2012 and 2013
  • provide incentive for innovative activity in firms, improved access to venture capital, augmented and more coordinated direct support to firms, and deeper partnerships and connections between the public and private sectors.
1More

SEAC-1-2014 - 0 views

ec.europa.eu/...2423-seac-1-2014.html horizon 2020 proposal Tibi's selection Mai Guillaume
shared by Tiberius Brastaviceanu on 02 Jun 14 - No Cached
  • Tiberius Brastaviceanu on 02 Jun 14
     
    "Topic: Innovative ways to make science education and scientific careers attractive to young people" Link schools to fablabs and makerspaces. SENSORICA is already deploying a strategy and methodology for doing that. These initiatives exposes students to science and technology.
37More

Collaborations: The rise of research networks : Nature : Nature Publishing Group - 0 views

www.nature.com/...490335a.html open science
shared by Tiberius Brastaviceanu on 05 Aug 14 - No Cached
  • Co-authorship has been increasing inexorably3, 4. Recently it has exploded.
  • Collaboration is normally a good thing from a wider public perspective. Knowledge is better transferred and combined by collaboration, and co-authored papers tend to be cited more frequently
  • The first paper with 1,000 authors was published in 2004
  • ...33 more annotations...
  • a paper with 3,000 authors came in 2008
  • By last year, a total of 120 physics papers had more than 1,000 authors and 44 had more than 3,000
  • independent contributions to joint efforts, usually in the form of data, that involve only weak intellectual interaction
  • Papers with hundreds of co-authors contribute to the apparent pervasiveness of collaboration between countries.
  • Consequently, distinguishing Malta's own science performance is already impossible. This blurring of national distinctiveness could be a growing issue.
  • The rapid growth of each nation's research base and regional links, driven by relatively strong economies investing in innovation, will undoubtedly produce a regional research labour force to be reckoned with by 2020
  • China's rapid growth since 2000 is leading to closer research collaboration with Japan
  • Taiwan
  • South Korea
  • Australia
  • Asia-Pacific region
  • India has a growing research network with Japan, South Korea and Taiwan, although it is not as frequent a collaborator with China as one might expect
  • Middle East, Egypt and Saudi Arabia have a strong research partnership that is drawing in neighbours including Tunisia and Algeria.
  • Latin America has an emerging research network focused around Brazil,
  • has doubled its collaboration with Argentina, Chile and Mexico in the past five years
  • Africa has three distinct networks: in southern Africa, in French-speaking countries in West Africa and in English-speaking nations in East Africa.
  • proximity is just one of several factors in networks
  • use paths of least resistance to partnership, rather than routes that might provide other strategic gains
  • Commonwealth countries
  • have adopted similar research structures
  • Students
  • proximity
  • lower cost of living
  • generous government scholarships
  • Job opportunities
  • countries in science's old guard must drop their patrician tendencies, open up clear communication channels and join in with new alliances as equal participants before they find themselves the supplicants.
  • Collaboration between the public and private sectors has become more apparent because of government interest in exploiting research for economic competitiveness. Some data show that industrial investment in research seems to be dropping — perhaps a reaction to the recession, but the trend seems to be long term, at least in the United Kingdom9
  • Incentives for collaborative innovation investment that draws directly on the science base would be a good start.
  • So what are the costs and benefits of collaboration? It provides access to resources, including funding, facilities and ideas. It will be essential for grand challenges in physics, environment and health to have large, international teams supported by major facilities and rich data, which encourage the rapid spread of knowledge.
  • Research networks are a tool of international diplomacy.
  • As for costs, collaboration takes time and travel and means a shared agenda
  • The risk is that international, national and institutional agendas may become driven by the same bland establishment consensus.
  • The iconoclastic, the maverick and the marginal may find a highly collaborative world a difficult place to flourish
  • Tiberius Brastaviceanu on 05 Aug 14
     
    "Co-authorship has been increasing inexorably3, 4. Recently it has exploded."
1More

EAT - The science-based global platform for food system transformation - 1 views

eatforum.org organisation potential_partner greens_for_good
shared by sebastianklemm on 30 Apr 21 - No Cached
  • sebastianklemm on 30 Apr 21
     
    Our vision is a fair and sustainable global food system for healthy people and planet - leaving no one behind. Our mission is to transform our global food system through sound science, impatient disruption and novel partnerships. Everything we do is guided by a set of principles that define our character and working culture. These values are the shared convictions that we bring to our professional and personal conduct. We: > Scale bold systems change based on solid science > Accelerate impact through collaboration > Deliver disruptive solutions, where others can't > Embody diversity, honesty and integrity > Champion fairness and equity, leaving no one behind
1More

Christmas Bird Count | Audubon - 0 views

www.audubon.org/...christmas-bird-count GoodLabs_mapping
shared by Tiberius Brastaviceanu on 30 Oct 20 - No Cached
  • Tiberius Brastaviceanu on 30 Oct 20
     
    "The National Audubon Society protects birds and the places they need, today and tomorrow, throughout the Americas using science, advocacy, education, and on-the-ground conservation."
1More

The Science Behind Foldit | Foldit - 0 views

fold.it/about GoodLabs_mapping
shared by Tiberius Brastaviceanu on 30 Oct 20 - No Cached
  • Tiberius Brastaviceanu on 30 Oct 20
     
    "Foldit is a revolutionary crowdsourcing computer game enabling you to contribute to important scientific research. This page describes the science behind Foldit and how your playing can help."
1More

Into The Brain - 0 views

science.eyewire.org GoodLabs_mapping
shared by Tiberius Brastaviceanu on 30 Oct 20 - No Cached
  • Tiberius Brastaviceanu on 30 Oct 20
     
    "The Science of Brain Mapping"
1More

Association science et bien commun - 0 views

scienceetbiencommun.org community commons public science IoPA organization ecosystem
shared by Francois Bergeron on 09 Sep 13 - No Cached
  • Francois Bergeron on 09 Sep 13
     
    " l'Association a pour mission de stimuler la vigilance et l'action pour une science publique au service du bien commun." Selected by Yasir
142More

The Baffler - 0 views

thebaffler.com/...the_meme_hustler O'Reilly paper
shared by Tiberius Brastaviceanu on 06 Apr 13 - No Cached
  • This tendency to view questions of freedom primarily through the lens of economic competition, to focus on the producer and the entrepreneur at the expense of everyone else, shaped O’Reilly’s thinking about technology.
  • the O’Reilly brand essence is ultimately a story about the hacker as hero, the kid who is playing with technology because he loves it, but one day falls into a situation where he or she is called on to go forth and change the world,
  • His true hero is the hacker-cum-entrepreneur, someone who overcomes the insurmountable obstacles erected by giant corporations and lazy bureaucrats in order to fulfill the American Dream 2.0: start a company, disrupt an industry, coin a buzzword.
  • ...139 more annotations...
  • gospel of individualism, small government, and market fundamentalism
  • innovation is the new selfishness
  • mastery of public relations
  • making it seem as if the language of economics was, in fact, the only reasonable way to talk about the subject
  • memes are for losers; the real money is in epistemes.
  • “Open source software” was also the first major rebranding exercise overseen by Team O’Reill
  • It’s easy to forget this today, but there was no such idea as open source software before 1998; the concept’s seeming contemporary coherence is the result of clever manipulation and marketing.
  • ideological cleavage between two groups
  • Richard Stallman
  • Free Software Foundation, preoccupied with ensuring that users had rights with respect to their computer programs. Those rights weren’t many—users should be able to run the program for any purpose, to study how it works, to redistribute copies of it, and to release their improved version (if there was one) to the public
  • “free software.”
  • association with “freedom” rather than “free beer”
  • copyleft
  • profound critique of the role that patent law had come to play in stifling innovation and creativity.
  • Plenty of developers contributed to “free software” projects for reasons that had nothing to do with politics. Some, like Linus Torvalds, the Finnish creator of the much-celebrated Linux operating system, did so for fun; some because they wanted to build more convenient software; some because they wanted to learn new and much-demanded skills.
  • Stallman’s rights-talk, however, risked alienating the corporate types
  • he was trying to launch a radical social movement, not a complacent business association
  • By early 1998 several business-minded members of the free software community were ready to split from Stallman, so they masterminded a coup, formed their own advocacy outlet—the Open Source Initiative—and brought in O’Reilly to help them rebrand.
  • “open source”
  • The label “open source” may have been new, but the ideas behind it had been in the air for some time.
  • In those early days, the messaging around open source occasionally bordered on propaganda
  • This budding movement prided itself on not wanting to talk about the ends it was pursuing; except for improving efficiency and decreasing costs, those were left very much undefined.
  • extremely decentralized manner, using Internet platforms, with little central coordination.
  • In contrast to free software, then, open source had no obvious moral component.
  • “open source is not particularly a moral or a legal issue. It’s an engineering issue. I advocate open source, because . . . it leads to better engineering results and better economic results
  • While free software was meant to force developers to lose sleep over ethical dilemmas, open source software was meant to end their insomnia.
  • Stallman the social reformer could wait for decades until his ethical argument for free software prevailed in the public debate
  • O’Reilly the savvy businessman had a much shorter timeline: a quick embrace of open source software by the business community guaranteed steady demand for O’Reilly books and events
  • The coup succeeded. Stallman’s project was marginalized. But O’Reilly and his acolytes didn’t win with better arguments; they won with better PR.
  • A decade after producing a singular vision of the Internet to justify his ideas about the supremacy of the open source paradigm, O’Reilly is close to pulling a similar trick on how we talk about government reform.
  • much of Stallman’s efforts centered on software licenses
  • O’Reilly’s bet wa
  • the “cloud”
  • licenses would cease to matter
  • Since no code changed hands
  • So what did matter about open source? Not “freedom”
  • O’Reilly cared for only one type of freedom: the freedom of developers to distribute software on whatever terms they fancied.
  • the freedom of the producer
  • who must be left to innovate, undisturbed by laws and ethics.
  • The most important freedom,
  • is that which protects “my choice as a creator to give, or not to give, the fruits of my work to you, as a ‘user’ of that work, and for you, as a user, to accept or reject the terms I place on that gift.”
  • O’Reilly opposed this agenda: “I completely support the right of Richard [Stallman] or any individual author to make his or her work available under the terms of the GPL; I balk when they say that others who do not do so are doing something wrong.”
  • The right thing to do, according to O’Reilly, was to leave developers alone.
  • According to this Randian interpretation of open source, the goal of regulation and public advocacy should be to ensure that absolutely nothing—no laws or petty moral considerations—stood in the way of the open source revolution
  • Any move to subject the fruits of developers’ labor to public regulation
  • must be opposed, since it would taint the reputation of open source as technologically and economically superior to proprietary software
  • the advent of the Internet made Stallman’s obsession with licenses obsolete
  • Many developers did stop thinking about licenses, and, having stopped thinking about licenses, they also stopped thinking about broader moral issues that would have remained central to the debates had “open source” not displaced “free software” as the paradigm du jour.
  • Profiting from the term’s ambiguity, O’Reilly and his collaborators likened the “openness” of open source software to the “openness” of the academic enterprise, markets, and free speech.
  • “open to intellectual exchange”
  • “open to competition”
  • “For me, ‘open source’ in the broader sense means any system in which open access to code lowers the barriers to entry into the market”).
  • “Open” allowed O’Reilly to build the largest possible tent for the movement.
  • The language of economics was less alienating than Stallman’s language of ethics; “openness” was the kind of multipurpose term that allowed one to look political while advancing an agenda that had very little to do with politics
  • highlight the competitive advantages of openness.
  • the availability of source code for universal examination soon became the one and only benchmark of openness
  • What the code did was of little importance—the market knows best!—as long as anyone could check it for bugs.
  • The new paradigm was presented as something that went beyond ideology and could attract corporate executives without losing its appeal to the hacker crowd.
  • What Raymond and O’Reilly failed to grasp, or decided to overlook, is that their effort to present open source as non-ideological was underpinned by a powerful ideology of its own—an ideology that worshiped innovation and efficiency at the expense of everything else.
  • What they had in common was disdain for Stallman’s moralizing—barely enough to justify their revolutionary agenda, especially among the hacker crowds who were traditionally suspicious of anyone eager to suck up to the big corporations that aspired to dominate the open source scene.
  • linking this new movement to both the history of the Internet and its future
  • As long as everyone believed that “open source” implied “the Internet” and that “the Internet” implied “open source,” it would be very hard to resist the new paradigm
  • Telling a coherent story about open source required finding some inner logic to the history of the Internet
  • “If you believe me that open source is about Internet-enabled collaboration, rather than just about a particular style of software license,”
  • everything on the Internet was connected to everything else—via open source.
  • The way O’Reilly saw it, many of the key developments of Internet culture were already driven by what he called “open source behavior,” even if such behavior was not codified in licenses.
  • No moralizing (let alone legislation) was needed; the Internet already lived and breathed open source
  • apps might be displacing the browser
  • the openness once taken for granted is no more
  • Openness as a happenstance of market conditions is a very different beast from openness as a guaranteed product of laws.
  • One of the key consequences of linking the Internet to the world of open source was to establish the primacy of the Internet as the new, reinvented desktop
  • This is where the now-forgotten language of “freedom” made a comeback, since it was important to ensure that O’Reilly’s heroic Randian hacker-entrepreneurs were allowed to roam freely.
  • Soon this “freedom to innovate” morphed into “Internet freedom,” so that what we are trying to preserve is the innovative potential of the platform, regardless of the effects on individual users.
  • Lumping everything under the label of “Internet freedom” did have some advantages for those genuinely interested in promoting rights such as freedom of expression
  • Forced to choose between preserving the freedom of the Internet or that of its users, we were supposed to choose the former—because “the Internet” stood for progress and enlightenment.
  • infoware
  • Yahoo
  • their value proposition lay in the information they delivered, not in the software function they executed.
  • The “infoware” buzzword didn’t catch on, so O’Reilly turned to the work of Douglas Engelbart
  • to argue that the Internet could help humanity augment its “collective intelligence” and that, once again, open source software was crucial to this endeavor.
  • Now it was all about Amazon learning from its customers and Google learning from the sites in its index.
  • The idea of the Internet as both a repository and incubator of “collective intelligence”
  • in 2004, O’Reilly and his business partner Dale Dougherty hit on the idea of “Web 2.0.” What did “2.0” mean, exactly?
  • he primary goal was to show that the 2001 market crash did not mean the end of the web and that it was time to put the crash behind us and start learning from those who survived.
  • Tactically, “Web 2.0” could also be much bigger than “open source”; it was the kind of sexy umbrella term that could allow O’Reilly to branch out from boring and highly technical subjects to pulse-quickening futurology
  • O’Reilly couldn’t improve on a concept as sexy as “collective intelligence,” so he kept it as the defining feature of this new phenomenon.
  • What set Web 2.0 apart from Web 1.0, O’Reilly claimed, was the simple fact that those firms that didn’t embrace it went bust
  • find a way to harness collective intelligence and make it part of their business model.
  • By 2007, O’Reilly readily admitted that “Web 2.0 was a pretty crappy name for what’s happening.”
  • O’Reilly eventually stuck a 2.0 label on anything that suited his business plan, running events with titles like “Gov 2.0” and “Where 2.0.” Today, as everyone buys into the 2.0 paradigm, O’Reilly is quietly dropping it
  • assumption that, thanks to the coming of Web 2.0, we are living through unique historical circumstances
  • Take O’Reilly’s musings on “Enterprise 2.0.” What is it, exactly? Well, it’s the same old enterprise—for all we know, it might be making widgets—but now it has learned something from Google and Amazon and found a way to harness “collective intelligence.”
  • tendency to redescribe reality in terms of Internet culture, regardless of how spurious and tenuous the connection might be, is a fine example of what I call “Internet-centrism.”
  • “Open source” gave us the “the Internet,” “the Internet” gave us “Web 2.0,” “Web 2.0” gave us “Enterprise 2.0”: in this version of history, Tim O’Reilly is more important than the European Union
  • For Postman, each human activity—religion, law, marriage, commerce—represents a distinct “semantic environment” with its own tone, purpose, and structure. Stupid talk is relatively harmless; it presents no threat to its semantic environment and doesn’t cross into other ones.
  • Since it mostly consists of falsehoods and opinions
  • it can be easily corrected with facts
  • to say that Tehran is the capital of Iraq is stupid talk
  • Crazy talk, in contrast, challenges a semantic environment, as it “establishes different purposes and assumptions from those we normally accept.” To argue, as some Nazis did, that the German soldiers ended up far more traumatized than their victims is crazy talk.
  • For Postman, one of the main tasks of language is to codify and preserve distinctions among different semantic environments.
  • As he put it, “When language becomes undifferentiated, human situations disintegrate: Science becomes indistinguishable from religion, which becomes indistinguishable from commerce, which becomes indistinguishable from law, and so on.
  • pollution
  • Some words—like “law”—are particularly susceptible to crazy talk, as they mean so many different things: from scientific “laws” to moral “laws” to “laws” of the market to administrative “laws,” the same word captures many different social relations. “Open,” “networks,” and “information” function much like “law” in our own Internet discourse today.
  • For Korzybski, the world has a relational structure that is always in flux; like Heraclitus, who argued that everything flows, Korzybski believed that an object A at time x1 is not the same object as object A at time x2
  • Our language could never properly account for the highly fluid and relational structure of our reality—or as he put it in his most famous aphorism, “the map is not the territory.”
  • Korzybski argued that we relate to our environments through the process of “abstracting,” whereby our neurological limitations always produce an incomplete and very selective summary of the world around us.
  • nothing harmful in this per se—Korzybski simply wanted to make people aware of the highly selective nature of abstracting and give us the tools to detect it in our everyday conversations.
  • Korzybski developed a number of mental tools meant to reveal all the abstracting around us
  • He also encouraged his followers to start using “etc.” at the end of their statements as a way of making them aware of their inherent inability to say everything about a given subject and to promote what he called the “consciousness of abstraction.”
  • There was way too much craziness and bad science in Korzybski’s theories
  • but his basic question
  • “What are the characteristics of language which lead people into making false evaluations of the world around them?”
  • Tim O’Reilly is, perhaps, the most high-profile follower of Korzybski’s theories today.
  • O’Reilly openly acknowledges his debt to Korzybski, listing Science and Sanity among his favorite books
  • It would be a mistake to think that O’Reilly’s linguistic interventions—from “open source” to “Web 2.0”—are random or spontaneous.
  • There is a philosophy to them: a philosophy of knowledge and language inspired by Korzybski. However, O’Reilly deploys Korzybski in much the same way that the advertising industry deploys the latest findings in neuroscience: the goal is not to increase awareness, but to manipulate.
  • O’Reilly, of course, sees his role differently, claiming that all he wants is to make us aware of what earlier commentators may have overlooked. “A metaphor is just that: a way of framing the issues such that people can see something they might otherwise miss,
  • But Korzybski’s point, if fully absorbed, is that a metaphor is primarily a way of framing issues such that we don’t see something we might otherwise see.
  • In public, O’Reilly modestly presents himself as someone who just happens to excel at detecting the “faint signals” of emerging trends. He does so by monitoring a group of überinnovators that he dubs the “alpha geeks.” “The ‘alpha geeks’ show us where technology wants to go. Smart companies follow and support their ingenuity rather than trying to suppress it,
  • His own function is that of an intermediary—someone who ensures that the alpha geeks are heard by the right executives: “The alpha geeks are often a few years ahead of their time. . . . What we do at O’Reilly is watch these folks, learn from them, and try to spread the word by writing down (
  • The name of his company’s blog—O’Reilly Radar—is meant to position him as an independent intellectual who is simply ahead of his peers in grasping the obvious.
  • “the skill of writing is to create a context in which other people can think”
  • As Web 2.0 becomes central to everything, O’Reilly—the world’s biggest exporter of crazy talk—is on a mission to provide the appropriate “context” to every field.
  • In a fascinating essay published in 2000, O’Reilly sheds some light on his modus operandi.
  • The thinker who emerges there is very much at odds with the spirit of objectivity that O’Reilly seeks to cultivate in public
  • meme-engineering lets us organize and shape ideas so that they can be transmitted more effectively, and have the desired effect once they are transmitted
  • O’Reilly meme-engineers a nice euphemism—“meme-engineering”—to describe what has previously been known as “propaganda.”
  • how one can meme-engineer a new meaning for “peer-to-peer” technologies—traditionally associated with piracy—and make them appear friendly and not at all threatening to the entertainment industry.
  • O’Reilly and his acolytes “changed the canonical list of projects that we wanted to hold up as exemplars of the movement,” while also articulating what broader goals the projects on the new list served. He then proceeds to rehash the already familiar narrative: O’Reilly put the Internet at the center of everything, linking some “free software” projects like Apache or Perl to successful Internet start-ups and services. As a result, the movement’s goal was no longer to produce a completely free, independent, and fully functional operating system but to worship at the altar of the Internet gods.
  • Could it be that O’Reilly is right in claiming that “open source” has a history that predates 1998?
  • Seen through the prism of meme-engineering, O’Reilly’s activities look far more sinister.
  • His “correspondents” at O’Reilly Radar don’t work beats; they work memes and epistemes, constantly reframing important public issues in accordance with the templates prophesied by O’Reilly.
  • Or take O’Reilly’s meme-engineering efforts around cyberwarfare.
  • Now, who stands to benefit from “cyberwarfare” being defined more broadly? Could it be those who, like O’Reilly, can’t currently grab a share of the giant pie that is cybersecurity funding?
  • Frank Luntz lists ten rules of effective communication: simplicity, brevity, credibility, consistency, novelty, sound, aspiration, visualization, questioning, and context.
  • Thus, O’Reilly’s meme-engineering efforts usually result in “meme maps,” where the meme to be defined—whether it’s “open source” or “Web 2.0”—is put at the center, while other blob-like terms are drawn as connected to it.
  • The exact nature of these connections is rarely explained in full, but this is all for the better, as the reader might eventually interpret connections with their own agendas in mind. This is why the name of the meme must be as inclusive as possible: you never know who your eventual allies might be. “A big part of meme engineering is giving a name that creates a big tent that a lot of people want to be under, a train that takes a lot of people where they want to go,”
  • News April 4 mail date March 29, 2013 Baffler party March 6, 2013 Žižek on seduction February 13, 2013 More Recent Press I’ve Seen the Worst Memes of My Generation Destroyed by Madness io9, April 02, 2013 The Baffler’s New Colors Imprint, March 21, 2013
  • There is considerable continuity across O’Reilly’s memes—over time, they tend to morph into one another.
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Open Source 3-D Printed Nutating Mixer - Appropedia, the sustainability wiki - 0 views

www.appropedia.org/rce_3-D_Printed_Nutating_Mixer open science open hardware OSH catalog
shared by Tiberius Brastaviceanu on 10 Oct 23 - No Cached
  • Tiberius Brastaviceanu on 10 Oct 23
     
    "As the open source development of additive manufacturing has led to low-cost desktop three-dimensional (3-D) printing, a number of scientists throughout the world have begun to share digital designs of free and open source scientific hardware. Open source scientific hardware enables custom experimentation, laboratory control, rapid upgrading, transparent maintenance, and lower costs in general. To aid in this trend, this study describes the development, design, assembly, and operation of a 3-D printable open source desktop nutating mixer, which provides a fixed 20° platform tilt angle for a gentle three-dimensional (gyrating) agitation of chemical or biological samples (e.g., DNA or blood samples) without foam formation. The custom components for the nutating mixer are designed using open source FreeCAD software to enable customization. All of the non-readily available components can be fabricated with a low-cost RepRap 3-D printer using an open source software tool chain from common thermoplastics. All of the designs are open sourced and can be configured to add more functionality to the equipment in the future. It is relatively easy to assemble and is accessible to both the science education of younger students as well as state-of-the-art research laboratories. Overall, the open source nutating mixer can be fabricated with US$37 in parts, which is 1/10th of the cost of proprietary nutating mixers with similar capabilities. The open source nature of the device allow it to be easily repaired or upgraded with digital files, as well as to accommodate custom sample sizes and mixing velocities with minimal additional costs."
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