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Tiberius Brastaviceanu

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

  • 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
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  • 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
       
      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
       
      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
       
      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
       
      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.
Tiberius Brastaviceanu

The Baffler - 0 views

  • 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.
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  • 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.
Tiberius Brastaviceanu

Innovative schemes for open innovation and science 2.0 INSO-4-2015 - 0 views

  • 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
       
      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
       
      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.
  •  
    "Topic: Innovative schemes for open innovation and science 2.0 INSO-4-2015"
Francois Bergeron

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

  • 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.
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  • 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.
Tiberius Brastaviceanu

Science and Technology Consultation - Industry Canada - 0 views

  • Under this strategy
    • Yasir Siddiqui
       
      Testing
    • Yasir Siddiqui
       
      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.
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  • 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
       
      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
       
      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
       
      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
       
      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
       
      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.
Tiberius Brastaviceanu

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

  • 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
  •  
    "Co-authorship has been increasing inexorably3, 4. Recently it has exploded."
Kurt Laitner

The Dead Are Wealthier Than the Living: Capital in the 21st Century - Pacific Standard:... - 0 views

  • you needed at least 20 to 30 times the income of the average person, and the most lucrative professions paid only half that
  • Consequently, “society” (i.e., the rich) consisted almost entirely of rentiers living off inherited wealth
  • In recent memory, the way to get rich has been to do it yourself
  • ...11 more annotations...
  • But it’s income that mostly interests us, not wealth, because income is the currency of the modern economy. Gone are the days when the only way to acquire an upper-class income was to marry into a family fortune.
  • Being born into or marrying wealth never stopped being the easiest path to acquiring a fortune
  • A fanatical miser, Getty was ever-fearful that his fortune would dissipate.
  • The return on capital (r) almost always exceeds economic growth (g).
  • “a very large share, perhaps a majority, of corporate profit hinges on rules and regulations that could in principle be altered.”
  • The clearest such pattern is that r really was, at most points in history, greater than g, if only because g was seldom much to write home about, especially back when economies were primarily agricultural. (Inflation, I learned from reading this book, didn’t really exist before the 20th century.)
  • The big driver of income inequality, Piketty says, isn’t labor income. It’s capital.
  • Only when you add in capital income does the gap widen to 15 percentage points
  • really, the 0.01 percent, a cohort Piketty dubs “supermanagers”—to receive much of its remuneration in the form of stock options and other capital holdings.
  • Typically, r is four to five times g, but the ratio gets larger as capital accumulates across generations
  • Baker also suggests that the tendency for large amounts of capital to realize a higher return isn’t solely attributable to the superior financial instruments they have access to; it may also have something to do with rampant insider trading, which could be policed more closely.
  •  
    just in case we get too caught up in determining incomes, disrupting private capital and inheritance needs to be on the agenda.  Private goods tend to eventually become public goods (paid a royalty for paper lately?) but the rate at which private goods become public needs to increase (patent reform, inheritance tax etc)
Francois Bergeron

Association science et bien commun - 0 views

  •  
    " l'Association a pour mission de stimuler la vigilance et l'action pour une science publique au service du bien commun." Selected by Yasir
Tiberius Brastaviceanu

Globe at Night - 0 views

  •  
    "Globe at Night is an international citizen-science campaign to raise public awareness of the impact of light pollution by inviting citizen-scientists to measure & submit their night sky brightness observations. "
mayssamd

Baltimore Underground Science Space - 1 views

  •  
    Non-profit public laboratory This lab offers membership fees with each category having different privileges This is how they are handling accountability, in one sense. https://bugssonline.org/membership/ "Whistleblower Policy"
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