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Tiberius Brastaviceanu

POWER-CURVE SOCIETY: The Future of Innovation, Opportunity and Social Equity in the Eme... - 1 views

  • how technological innovation is restructuring productivity and the social and economic impact resulting from these changes
  • concern about the technological displacement of jobs, stagnant middle class income, and wealth disparities in an emerging "winner-take-all" economy
  • personal data ecosystems that could potentially unlock a revolutionary wave of individual economic empowerment
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  • the bell curve described the wealth and income distribution of American society
  • As the technology boom of the 1990s increased productivity, many assumed that the rising water level of the economy was raising all those middle class boats. But a different phenomenon has also occurred. The wealthy have gained substantially over the past two decades while the middle class has remained stagnant in real income, and the poor are simply poorer.
  • America is turning into a power-curve society: one where there are a relative few at the top and a gradually declining curve with a long tail of relatively poorer people.
  • For the first time since the end of World War II, the middle class is apparently doing worse, not better, than previous generations.
  • an alarming trend
  • What is the role of technology in these developments?
  • a sweeping look at the relationship between innovation and productivity
  • New Economy of Personal Information
  • Power-Curve Society
  • the future of jobs
  • the report covers the social, policy and leadership implications of the “Power-Curve Society,”
  • World Wide Web
  • as businesses struggle to come to terms with this revolution, a new set of structural innovations is washing over businesses, organizations and government, forcing near-constant adaptation and change. It is no exaggeration to say that the explosion of innovative technologies and their dense interconnections is inventing a new kind of economy.
  • the new technologies are clearly driving economic growth and higher productivity, the distribution of these benefits is skewed in worrisome ways.
  • the networked economy seems to be producing a “power-curve” distribution, sometimes known as a “winner-take-all” economy
  • Economic and social insecurity is widespread.
  • major component of this new economy, Big Data, and the coming personal data revolution fomenting beneath it that seeks to put individuals, and not companies or governments, at the forefront. Companies in the power-curve economy rely heavily on big databases of personal information to improve their marketing, product design, and corporate strategies. The unanswered question is whether the multiplying reservoirs of personal data will be used to benefit individuals as consumers and citizens, or whether large Internet companies will control and monetize Big Data for their private gain.
  • Why are winner-take-all dynamics so powerful?
  • appear to be eroding the economic security of the middle class
  • A special concern is whether information and communications technologies are actually eliminating more jobs than they are creating—and in what countries and occupations.
  • How is the power-curve economy opening up opportunities or shutting them down?
  • Is it polarizing income and wealth distributions? How is it changing the nature of work and traditional organizations and altering family and personal life?
  • many observers fear a wave of social and political disruption if a society’s basic commitments to fairness, individual opportunity and democratic values cannot be honored
  • what role government should play in balancing these sometimes-conflicting priorities. How might educational policies, research and development, and immigration policies need to be altered?
  • The Innovation Economy
  • Conventional economics says that progress comes from new infusions of capital, whether financial, physical or human. But those are not necessarily the things that drive innovation
  • What drives innovation are new tools and then the use of those new tools in new ways.”
  • at least 50 percent of the acceleration of productivity over these years has been due to ICT
  • economists have developed a number of proxy metrics for innovation, such as research and development expenditures.
  • Atkinson believes that economists both underestimate and overestimate the scale and scope of innovation.
  • Calculating the magnitude of innovation is also difficult because many innovations now require less capital than they did previously.
  • Others scholars
  • see innovation as going in cycles, not steady trajectories.
  • A conventional approach is to see innovation as a linear, exponential phenomenon
  • leads to gross errors
  • Atkinson
  • believes that technological innovation follows the path of an “S-curve,” with a gradual increase accelerating to a rapid, steep increase, before it levels out at a higher level. One implication of this pattern, he said, is that “you maximize the ability to improve technology as it becomes more diffused.” This helps explain why it can take several decades to unlock the full productive potential of an innovation.
  • innovation keeps getting harder. It was pretty easy to invent stuff in your garage back in 1895. But the technical and scientific challenges today are huge.”
  • costs of innovation have plummeted, making it far easier and cheaper for more people to launch their own startup businesses and pursue their unconventional ideas
  • innovation costs are plummeting
  • Atkinson conceded such cost-efficiencies, but wonders if “the real question is that problems are getting more complicated more quickly than the solutions that might enable them.
  • we may need to parse the different stages of innovation: “The cost of innovation generally hasn’t dropped,” he argued. “What has become less expensive is the replication and diffusion of innovation.”
  • what is meant by “innovation,”
  • “invention plus implementation.”
  • A lot of barriers to innovation can be found in the lack of financing, organizational support systems, regulation and public policies.
  • 90 percent of innovation costs involve organizational capital,”
  • there is a serious mismatch between the pace of innovation unleashed by Moore’s Law and our institutional and social capacity to adapt.
  • This raises the question of whether old institutions can adapt—or whether innovation will therefore arise through other channels entirely. “Existing institutions are often run by followers of conventional wisdom,”
  • The best way to identify new sources of innovation, as Arizona State University President Michael Crow has advised, is to “go to the edge and ignore the center.”
  • Paradoxically, one of the most potent barriers to innovation is the accelerating pace of innovation itself.
  • Institutions and social practice cannot keep up with the constant waves of new technologies
  • “We are moving into an era of constant instability,”
  • “and the half-life of a skill today is about five years.”
  • Part of the problem, he continued, is that our economy is based on “push-based models” in which we try to build systems for scalable efficiencies, which in turn demands predictability.
  • The real challenge is how to achieve radical institutional innovations that prepare us to live in periods of constant two- or three-year cycles of change. We have to be able to pick up new ideas all the time.”
  • pace of innovation is a major story in our economy today.
  • The App Economy consists of a core company that creates and maintains a platform (such as Blackberry, Facebook or the iPhone), which in turn spawns an ecosystem of big and small companies that produce apps and/or mobile devices for that platform
  • tied this success back to the open, innovative infrastructure and competition in the U.S. for mobile devices
  • standard
  • The App Economy illustrates the rapid, fluid speed of innovation in a networked environment
  • crowdsourcing model
  • winning submissions are
  • globally distributed in an absolute sense
  • problem-solving is a global, Long Tail phenomenon
  • As a technical matter, then, many of the legacy barriers to innovation are falling.
  • small businesses are becoming more comfortable using such systems to improve their marketing and lower their costs; and, vast new pools of personal data are becoming extremely useful in sharpening business strategies and marketing.
  • Another great boost to innovation in some business sectors is the ability to forge ahead without advance permission or regulation,
  • “In bio-fabs, for example, it’s not the cost of innovation that is high, it’s the cost of regulation,”
  • This notion of “permissionless innovation” is crucial,
  • “In Europe and China, the law holds that unless something is explicitly permitted, it is prohibited. But in the U.S., where common law rather than Continental law prevails, it’s the opposite
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.
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  • 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"
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

Innovation Canada: A Call to Action - Review of Federal Support to Research and Develop... - 1 views

  • Canada has a solid foundation on which to build success as a leader in the knowledge economy of tomorrow
  • innovation in Canada lags behind other highly developed countries
  • innovation is the ultimate source of the long-term competitiveness of businesses and the quality of life of Canadians
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  • We heard that the government should be more focussed on helping innovative firms to grow and, particularly, on serving the needs of small and medium-sized enterprises (SMEs)
  • greater cooperation with provincial programs
  • innovation support is too narrowly focussed on R&D – more support is needed for other activities along the continuum from ideas to commercially useful innovation
  • more productive and internationally competitive economy
  • whole-of-government program delivery vehicle – the Industrial Research and Innovation Council (IRIC)
  • SR&ED program should be simplified
  • includes non-labour costs, such as materials and capital equipment, the calculation of which can be highly complex
  • the base for the tax credit should be labour-related costs, and the tax credit rate should be adjusted upward
  • fund direct support measures for SMEs
  • promoting the growth of firms
  • facilitating access by such firms to an increased supply of risk capital at both the start-up and later stages of their growth.
  • building public–private research collaborations
  • National Research Council (NRC) should become independent collaborative research organizations
  • become affiliates of universities
  • create opportunity and demand for leading-edge goods
  • encouragement of innovation in the Canadian economy should become a stated objective of procurement policies and programs.
  • the government needs to establish business innovation as a whole-of-government priority
  • put innovation at the centre of the government's economic strategy
  • Innovation Advisory Committee (IAC) – a body with a whole-of-government focus that would oversee the realization of our proposed action plan, as well as serve as a permanent mechanism to promote the refinement and improvement of the government's business innovation programs going forward.
  • focus resources where market forces are unlikely to operate effectively or efficiently and, in that context, address the full range of business innovation activities, including research, development, commercialization and collaboration with other key actors in the innovation ecosystem
  • the closer the activity being supported is to market, and therefore the more likely it is that the recipient firm will capture most of the benefit for itself.
  • specific sectors
  • of strategic importance
  • concentrated in particular regions
  • succeed in the arena of global competition
    • Tiberius Brastaviceanu
       
      They don't go beyond the firm
    • Tiberius Brastaviceanu
       
      they are still stuck in the competitive paradigm
    • Tiberius Brastaviceanu
       
      Still stack with the old paradigm of the "knowledge economy"  http://en.wikipedia.org/wiki/Knowledge_economy  My opinion is that we're moving into a know-how economy. 
Tiberius Brastaviceanu

ICT-37-2014 - 0 views

  • provide support to a large set of early stage high risk innovative SMEs in the ICT sector
  • Focus will be on SME proposing innovative ICT concept, product and service applying new sets of rules, values and models which ultimately disrupt existing markets.
  • disruptive ideas
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  • prototyping
  • validation and demonstration
  • deployment
  • Proposed projects should have a potential for disruptive innovation and fast market up-take in ICT.
  • interesting for entrepreneurs and young innovative companies
  • bearing a strong EU dimension.
  • Participants can apply to Phase 1 with a view to applying to Phase 2 at a later date, or directly to Phase 2.
  • In phase 1, a feasibility study
  • services and technologies or new market applications of existing technologies
  • Intellectual Property (IP) management
  • increase profitability
  • The proposal should contain an initial business plan based on the proposed idea/concept.
  • EUR 50.000. Projects should last around 6 months
    • Tiberius Brastaviceanu
       
      I don't understand why they call it Open (ODI) when they also talk about Intellectual Property. 
  • company competitiveness
  • prototyping
  • demonstration
  • readiness and maturity for market introduction
  • may also include some research
  • For technological innovation a Technology Readiness Levels of 6 or above
  • Proposals shall be based on an elaborated business plan
  • Proposals shall contain a specification for the outcome of the project, including a first commercialisation plan, and criteria for success.
    • Tiberius Brastaviceanu
       
      We are not a SME and have no classical commercialization plan. We can form an Exchange Firm for example, and offer services for OVNi for example, helping local food networks, providing them infrastructure. But in that case, the business plan for the Exchange Firm should contain a revenue model. Who is going to pay for the deployment of the OVNi in order to make the Exchange Firm commercially viable in the eyes of the Commission?  
  • coaching and mentoring support during phase 1 and phase 2
  • growth plan and maximising it through internationalisation
  • Enhancing profitability and growth performance of SMEs by combining and transferring new and existing knowledge into innovative, disruptive and competitive solutions
  • Open Disruptive Innovation Scheme
  •  
    "Specific Challenge: The challenge is to provide support to a large set of early stage high risk innovative SMEs in the ICT sector. Focus will be on SME proposing innovative ICT concept, product and service applying new sets of rules, values and models which ultimately disrupt existing markets."
Tiberius Brastaviceanu

Digital Agenda for Europe - European Commission - 0 views

  • Open Innovation 2.0 Conference and The Dublin Innovation Declaration:
  • The Dublin Innovation Declaration was co-created at the Open Innovation 2.0 Conference
  • he challenges faced in Europe and beyond are too large to tackle in isolation and thus a new approach to innovation is required
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  • create new shared value through innovation
  • creative destruction model where the failure of old approaches fuels the motivation for change and shapes the future
  • quadruple helix model of innovation where civil society joins with business, academia, and government sectors to drive changes far beyond the scope of what any one organization can do on their own. 
Tiberius Brastaviceanu

http://www.iao.fraunhofer.de/images/iao-news/studie_managing_open-innovation.pdf - 0 views

  •  
    Paper on open innovation - survey and conclusions. The definition of open innovation is quite large. The study focuses on traditional businesses.
Tiberius Brastaviceanu

Proposal - Food SFS-08-2014 - 1 views

  • development of more resource-efficient and sustainable food production and processing
  • competitive and innovative
    • Tiberius Brastaviceanu
       
      We are proposing collaborative ways, here the accent is put on competitive ways 
    • Tiberius Brastaviceanu
       
      We are proposing collaborative methods. Here, the accent is put on COMPETITIVE ways for a "sustainable circular economy"
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  • reduction in water and energy use
  • gas emissions and waste generation
  • improving the efficiency
  • ensuring or improving shelf life, food safety and quality
  • competitive eco-innovative processes should be developed
  • sustainable circular economy
  • Intellectual Property (IP)
  • In phase 1, a feasibility study
  • technological/practical as well as economic viability of an innovation idea/concept with considerable novelty to the industry sector
  • to establish a solid high-potential innovation project
  • increase profitability of the enterprise through innovation
  • increase the return in investment in innovation activities
  • The proposal should contain an initial business plan based on the proposed idea/concept.
  • apply to phase 1 with a view to applying to phase 2 at a later date, or directly to phase 2.
  • EUR 50,000. Projects should last around 6 months
    • Tiberius Brastaviceanu
       
      Phase 1 has a classical language. We would need to mask our true identity and beliefs writing this grant proposal. I don't think it's for us... But this is only my opinion. 
  • In phase 2, innovation projects will be supported that address the specific challenge of Sustainable Food Security
  • demonstrate high potential in terms of company competitiveness and growth underpinned by a strategic business plan
    • Tiberius Brastaviceanu
       
      This is more about individual companies and their competitive advantage. Not about networks and not about collaboration and sharing. 
    • Tiberius Brastaviceanu
       
      Moreover, they put emphasis on IP protection and ownership, when we must talk about commons, knowledge commons applied to agriculture, sharing platforms, etc. 
  • Proposals shall be based on an elaborated business plan either developed through phase 1 or another means.
  • Particular attention must be paid to IP protection and ownership
  • Successful beneficiaries will be offered coaching and mentoring support during phase 1 and phase 2.
  • Enhancing profitability
  • competitive solutions
  • global business opportunities
  • sustainable
  • turnover
  • IP management
  • return on investment and profit
Tiberius Brastaviceanu

INSO-5-2015 - 0 views

  • Scope:  The scope is that of creating a Community, involving social innovators, researchers, citizens, policy makers, which will bring together on the one hand research actions and results and on the other implementation actions, new initiatives, and policy developments.
  • help promote social innovation initiatives
  • increase relevance of policies and actions
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  • development of a common understanding
  • evidence and methodologies that contribute to social innovation up-scaling
  • This does not concern only European but also international developments.
  • Such a social innovation community could be seen also as a “network of networks”.
  • Activities should include:
  • rganisation of brokerage events to enhance the networking
  • information and awareness activities t
  • design strategies/activities for ensuring the best possible use of the research results
  • the organisation of events aimed at identifying priorities for collaboration
  • supporting grassroots experiments, replication, incubation and policy uptake of research results
  • setting up of a network of 'Local Facilitators' for a better dissemination and uptake at all levels.
  • EUR 3 million
  • enable convergence towards a common understanding of social innovation as a tool and outcome.
  •  
    "Topic: Social innovation Community INSO-5-2015"
Francois Bergeron

Why Great Innovations Fail: It's All in the Ecosystem - Forbes - 0 views

  • “It is no longer enough to manage your innovation. Now you must manage your innovation ecosystem,” he writes.
  • How could Amazon engineer a triumph with a weaker product?”
  • How do you take the measure of the ecosystem that your innovation will need to be part of and rely on? How do you not miss the blind spots that can lurk almost anywhere?
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  • In other words, start with a complete ecosystem, but a limited one.
Tiberius Brastaviceanu

ISSI-5-2014 - 0 views

  • The proposals should include an international dimension in particular with the following countries: Brazil, Republic of South Africa, India, Canada, Australia, Russia, United States of America, Japan and China.
  • encourage the modernisation of institutional practices and culture in research institutions, Higher Education Institutions and funding agencies, to promote Responsible Research and Innovation
  • increase Responsible Research and Innovation uptake in research organizations
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  • developing a Responsible Research and Innovation Plan covering five RRI keys (societal engagement, gender equality and gender in research and innovation content, open access, science education and ethics) in each participating institution.
  •  
    "Topic: Supporting structural change in research organisations to promote Responsible Research and Innovation"
Tiberius Brastaviceanu

Why Great Innovations Fail: It's All in the Ecosystem - 0 views

  • “It is no longer enough to manage your innovation. Now you must manage your innovation ecosystem,”
  • example
  • Michelin developed a revolutionary new kind of tire with sensors and an internal hard wheel that could run almost perfectly for 125 miles after a puncture.
  • ...13 more annotations...
  • Yet by 2007 the product was such a failure that Michelin had to abandon it.
  • The company hadn’t confronted the entire ecosystem the tire would rely on
  • conversion costs
  • expensive new equipment
  • legal challenges
  • Mastery of the ecosystem is the great strength that made Apple the supreme success story of our time,
  • The iPod
  • a beginning ecosystem that Jobs enlarged by introducing the iTunes Music Store.
  • the ecosystem further by opening up the Mac-only device to PC users.
  • In a world where mobile phone makers sold their devices to operators to sell to consumers, Jobs had such a powerful ecosystem that he could get operators to compete to partner with him: “And here was Apple, offering not just exclusive access to the most talked-about phone in history, but also exclusive access to Apple consumers—the most desirable customer segment imaginable
  • How do you take the measure of the ecosystem that your innovation will need to be part of and rely on? How do you not miss the blind spots that can lurk almost anywhere?
  • three main steps to take.
  • There are terrible pitfalls in the usual progression from prototype to pilot to rollout. It relies perilously on getting everything right from the very start. Often a far wiser and safer approach can be what Adner calls a “minimum viable footprint (MVF) rollout followed by a staged expansion.” In other words, start with a complete ecosystem, but a limited one.
Tiberius Brastaviceanu

Design Like No One Is Patenting - How SparkFun Stays Ahead of the Pack - 0 views

  • Electronics supplier SparkFun designs dozens of products a year and they haven’t patented a single one. It’s worked out pretty well so far.
  • makes its living by shipping kits and components like bread boards, servo motors and Arduino parts to a mixture of students, hobbyists, and professionals making prototypes
  • the company has made its name is in a stable of its own custom parts and kits, the designs for which it gives away for free.
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  • “We find that people will copy your design no matter what you do,” she says. “You might as well just play the game and go ahead and innovate. It’s fun, it keeps us on our toes.”
  • “The open source model just forces us to innovate,” says Boudreaux.
  • the open hardware model means that SparkFun’s existence depends not on any particular product, but on an ongoing relationship with customers that’s not too dissimilar to the loyalty commanded by a fashion house.
  • wolf of obsolescence is always at electronics’ door
  • don’t spend much time worrying about the copyists, they just keep releasing new looks
  • it’s about staying relevant and filling the needs of the community
  • SparkFun’s rapid turnover model is one that echoes the fashion industry.
  • keep their service exemplary
  • listening to their customers
  • developed a community of loyal users and fans
  • weekly new product posts
  • You can learn a lot about what a company cares about by looking at what they give away and what they protect.
  • SparkFun’s actual value is in the community of fans and loyal customers that keep coming back, and the expertise under its roof in servicing their needs.
  • Their catalog has about 2,500 items at any given time
  • SparkFun orders parts from 500 suppliers
  • 15 new products every week
  • hey retire products at a similar rate, due to either low sales, or obsolescence
  • Of the 2,500 items, about 400 are things designed internally.
  • To handle the pace of change, SparkFun needs to keep its inventory lean.
  • “We try to do small runs and order in small quantities. Especially something that’s going to be obsolete quickly.”
  • To help manage the demand, they use an in-house software system
  • along with inventory and CMS management, tries to predict demand for different components and ensure they get ordered with sufficient lead time to account for how long it takes to get there.
  • the innovation (revisions and new releases) here at SparkFun is organic and not planned,” says Boudreaux, “But we do a few things to make sure we are keeping up.”
  • monitors all costumer feedback from emails to the comment section that is present on every page of the company’s site. They also ensure that team members have time to tinker in the office, write tutorials, and visit hackerspaces and maker events. “For us, designing (and revising) widgets is the job.”
  • anyone in the company can suggest ideas and contribute designs.
  • ideas run through an internal process of design, review, prototyping, testing and release.
  • “They eat these products up, even if the products are not ready for the mainstream & educator community due to minimal documentation or stability.”
  • symbiotic relationship with these early adopters, where feedback helps SparkFun revised and improve products for use by the rest of the community
  • I don’t think they help much
  • The risk of this rate of change is that SparkFun can end up outpacing some of their customers.
  • “There’s balance in everything,” says Boudreaux, “Innovation does not necessarily need speed in order to create valuable change. Sometimes innovation works at a slower pace, but that does not mean it is any less valuable to those that benefit from it, and we are constantly balancing the needs of two very different customers.”
  • unprotected and unencumbered by patents
  • racing to get the latest, coolest things in the hands of its customers.
  • patents
  • “We have to be willing to kill ideas that don’t work, take a lot of tough criticism, and move fast. If we stay agile, we stay relevant.”
  • cost $30,000 to $50,000
  • USPTO is so backed up you’ll have to wait three to five years to even hear back on their decision.
  • how much does technology change in five years?
  • company’s blog where they’ve been documenting production and business practices for years.
  • they even want to open source Sparkle. “It’s a wild ride,” she says, “but a fun one for sure.”
  •  
    shared by Jonathan, annotated by Tibi
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

INFRASUPP-1-2014 - 0 views

  • Topic: Innovation support measures
  • Research infrastructures
  • have an innovation potential that has not always been sufficiently exploited in the past
  • ...9 more annotations...
  • enterprises (including SMEs) may not realise that they have the opportunity to benefit
  • due to a lack of awareness
  • industry may find entry barriers to this sector
  • There is therefore a need to stimulate innovation both from within the research infrastructures themselves and in their supplier industry
  • Development of a portal of calls, tenders and future needs and technology transfer opportunities in research infrastructures of pan European interest;
  • Networking of procurement professionals to encourage exchange of good practices across research infrastructure sectors;
  •   Awareness campaign towards industry (including SMEs) on the potential of research infrastructures for their activities in selected R&D areas;
  • As a first step a repository
  • The Commission expects to fund a single proposal under this heading.
  •  
    "Topic: Innovation support measures"
Francois Bergeron

iNANO - Open innovation platform in Canada - 1 views

  •  
    Open innovation platform in Canada funded by Nano Qc, NSERC and NRC
Kurt Laitner

Prototyping and infrastructuring in design for social innovation | prototyping alternat... - 0 views

  •  
    May have some relevance, did not read past abstract
Francois Bergeron

Army Medical Research and Materiel Command Explored Open Innovation Strategies - Yahoo!... - 0 views

  •  
    even in the army !
Tiberius Brastaviceanu

Innovation is Booming: But Why Can't We See it in GDP? - Forbes - 0 views

  • we know that we have an industrial revolution going on
  • The internet in short.
  • allows us to do new things and also to do old things differently
  • ...5 more annotations...
  • we cannot actually see this in the figures for economic growth.
  • a problem of measurement. Of the way in which GDP itself is a useful but not complete measure.
  • certain uses of the internet actually reduce GDP: even while making us as individuals richer.
  • we’re measuring economic growth wrong.
  • We have managed to build an economy where trying something new has become increasingly difficult.
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