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Tiberius Brastaviceanu

Decision making - Wikipedia, the free encyclopedia - 1 views

  • mental processes
  • examine individual decisions in the context of a set of needs, preferences an individual has and values they seek.
  • psychological perspective
  • ...59 more annotations...
  • cognitive perspective
  • continuous process integrated in the interaction with the environment
  • normative perspective
  • logic of decision making
  • and rationality
  • decision making is a reasoning or emotional process which can be rational or irrational, can be based on explicit assumptions or tacit assumptions.
  • Logical decision making
  • making informed decisions
  • recognition primed decision approach
  • without weighing alternatives
  • integrated uncertainty into the decision making process
  • A major part of decision making involves the analysis of a finite set of alternatives described in terms of some evaluative criteria.
  • multi-criteria decision analysis (MCDA) also known as multi-criteria decision making (MCDM).
  • differentiate between problem analysis and decision making
  • Problem analysis must be done first, then the information gathered in that process may be used towards decision making.[4]
  • decision making techniques people use in everyday life
  • Pros and Cons
  • Simple Prioritization:
  • Decision-Making Stages
  • Orientation stage
  • Conflict stage
  • Emergence stage
  • Reinforcement stage
  • Decision-Making Steps
  • Outline your goal and outcome
  • Gather data
  • Brainstorm to develop alternatives
  • List pros and cons of each alternative
  • Make the decision
  • take action
  • Learn from, and reflect on the decision making
  • Cognitive and personal biases
  • Selective search for evidence
  • Premature termination of search for evidence
  • Inertia
  • Selective perception
  • Wishful thinking or optimism bias
  • Choice-supportive bias
  • Recency
  • Repetition bias
  • Anchoring and adjustment
  • Group think – Peer pressure
  • Source credibility bias
  • Incremental decision making and escalating commitment
  • Attribution asymmetry
  • Role fulfillment
  • Underestimating uncertainty and the illusion of control
  • a person's decision making process depends to a significant degree on their cognitive style
  • thinking and feeling; extroversion and introversion; judgment and perception; and sensing and intuition.
  • someone who scored near the thinking, extroversion, sensing, and judgment
  • would tend to have a logical, analytical, objective, critical, and empirical decision making style.
  • national or cross-cultural differences
  • distinctive national style of decision making
  • human decision-making is limited by available information, available time, and the information-processing ability of the mind.
  • two cognitive styles: maximizers
  • satisficers
    • Tiberius Brastaviceanu
       
      I think we are at the CONFLICT stage at this moment
    • Tiberius Brastaviceanu
       
      These are the steps we need to go through to make a decision of the 4 items proposed by Ivan
    • Tiberius Brastaviceanu
       
      This is also interesting, where are you on these 4 dimensions? 
Tiberius Brastaviceanu

Small farms but global markets SFS-18-2015 - 0 views

  •  
    "Topic: Small farms but global markets: the role of small and familiy farms in food and nutrition security"
faly77

Building a sustainable world where engineering enables long-term positive social and global development for the benefit of people and the environment everywhere. - 0 views

  •  
    The Greens For Good venture needs to increase its level of redundancy for technical roles.
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
  • ...72 more annotations...
  • systemic problems that arise from the R&D funding system and incentive structure that the federal government put in place after World War II
  • Researchers across the country encounter increasingly fierce competition for money.
  • unding rates in many National Institutes of Health (NIH) and National Science Foundation (NSF) programs are now at historical lows, declining from more than 30% before 2001 to 20% or even less in 2011
  • even the most prominent scientists will find it difficult to maintain funding for their laboratories, and young scientists seeking their first grant may become so overwhelmed that individuals of great promise will be driven from the field
  • anxiety and frustration
  • The growth of the scientific enterprise on university campuses during the past 60 years is not sustainable and has now reached a tipping point at which old models no longer work
  • Origins of the crisis
  • ederal funding agencies must work with universities to ensure that new models of funding do not stymie the progress of science in the United States
  • The demand for research money greatly exceeds the supply
  • the demand for research funding has gone up
  • The deeper sources of the problem lie in the incentive structure of the modern research university, the aspirations of scientists trained by those universities, and the aspirations of less research-intensive universities and colleges across the nation
  • competitive grants system
  • if a university wants to attract a significant amount of sponsored research money, it needs doctoral programs in the relevant fields and faculty members who are dedicated to both winning grants and training students
  • The production of science and engineering doctorates has grown apace
  • Even though not all doctorate recipients become university faculty, the size of the science and engineering faculty at U.S. universities has grown substantially
  • proposal pressure goes up
  • These strategies make sense for any individual university, but will fail collectively unless federal funding for R&D grows robustly enough to keep up with demand.
  • At the very time that universities were enjoying rapidly growing budgets, and creating modes of operation that assumed such largess was the new normal, Price warned that it would all soon come to a halt
  • the human and financial resources invested in science had been increasing much faster than the populations and economies of those regions
  • growth in the scientific enterprise would have to slow down at some point, growing no more than the population or the economy.
  • Dead-end solutions
  • studies sounded an alarm about the potential decline in U.S. global leadership in science and technology and the grave implications of that decline for economic growth and national security
  • Although we are not opposed to increasing federal funding for research, we are not optimistic that it will happen at anywhere near the rate the Academies seek, nor do we think it will have a large impact on funding rates
  • universities should not expect any radical increases in domestic R&D budgets, and most likely not in defense R&D budgets either, unless the discretionary budgets themselves grow rapidly. Those budgets are under pressure from political groups that want to shrink government spending and from the growth of spending in mandatory programs
  • The basic point is that the growth of the economy will drive increases in federal R&D spending, and any attempt to provide rapid or sustained increases beyond that growth will require taking money from other programs.
  • The demand for research money cannot grow faster than the economy forever and the growth curve for research money flattened out long ago.
  • Path out of crisis
  • The goal cannot be to convince the government to invest a higher proportion of its discretionary spending in research
  • Getting more is not in the cards, and some observers think the scientific community will be lucky to keep what it has
  • The potential to take advantage of the infrastructure and talent on university campuses may be a win-win situation for businesses and institutions of higher education.
  • Why should universities and colleges continue to support scientific research, knowing that the financial benefits are diminishing?
  • esearch culture
  • attract good students and faculty as well as raise their prestige
  • mission to expand the boundaries of human knowledge
  • faculty members are committed to their scholarship and will press on with their research programs even when external dollars are scarce
  • training
  • take place in
  • research laboratories
  • it is critical to have active research laboratories, not only in elite public and private research institutions, but in non-flagship public universities, a diverse set of private universities, and four-year colleges
  • How then do increasingly beleaguered institutions of higher education support the research efforts of the faculty, given the reality that federal grants are going to be few and far between for the majority of faculty members? What are the practical steps institutions can take?
  • change the current model of providing large startup packages when a faculty member is hired and then leaving it up to the faculty member to obtain funding for the remainder of his or her career
  • universities invest less in new faculty members and spread their internal research dollars across faculty members at all stages of their careers, from early to late.
    • Tiberius Brastaviceanu
       
      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

How The Blockchain Will Transform Everything From Banking To Government To Our Identities - 1 views

  • The first generation of the Internet was a great tool for communicating, collaborating and connecting online, but it was not ideal for business. When you send and share information on the Internet, you’re not sending an original but a copy. That’s good for information — it means people have a printing press for information and that information becomes democratized — but if you want to send an asset, it’s a problem. If I send you $100 online, you need to be sure you have it and I don’t, and that I can’t spend the same $100 somewhere else. As a result, we need intermediaries to perform critical roles — to establish identity between two parties in a transaction, and to do all the settlement transaction logic, which includes record-keeping.
  • With blockchain, for the first time, we have a new digital medium for value where anyone can access anything of value — stocks, bonds, money, digital property, titles, deeds — and even things like identity and votes can be moved, stored and managed securely and privately. Trust is not established though a third party but with clever code and mass consensus using a network. That’s got huge implications for intermediaries and businesses and society at large
  • And also with government, as a central repository of information an entity that delivers services.
  • ...35 more annotations...
  • There’s an opportunity to disrupt how those organizations work. Intermediaries, though they do a good job, have a few problems — they’re centralized, which makes them vulnerable to attack or failure
  • They tax the system
  • They capture data
  • They exclude billions of people from the global economy
  • internet of value
  • With blockchain, we can go from redistributing wealth to distributing value and opportunity value fairly a priori, from cradle to grave.
  • creating a true sharing economy by replacing service aggregators like Uber with distributed applications on the blockchain
  • unleashing a new age of entrepreneurship
  • build accountable governments through transparency, smart contracts and revitalized models of democracy.
  • The virtual you is owned by large intermediaries
  • This virtual you knows more about you than you do sometimes
  • So there’s a strange phenomenon from the first generation of the Internet where the most important asset class that’s been created is data —and we don’t control it or own it.
  • individuals taking back their identity through your own personal avatar
  • The financial services industry
  • antiquated
  • a complicated machine that does a simple thing
  • settlement
  • an opportunity to profoundly change the nature of the entire industry. The Starbucks transaction should be instant.
  • At the heart of it, the financial services industry moves value.
  • so this is both an existential threat to the financial services industry and an historic opportunity.
  • Banks trade on trust
  • Within the decade, every single financial asset, which is really just a contract
  • will all move to a blockchain-based format
  • In the accounting world, a lot of firms rely on costly audits to drive their profits
  • With blockchain, you could have a third entry time-stamped in a distributed ledger that could be acceptable to any relevant stakeholders from regulators to shareholders, giving you a perfect record of the truth and thus the financial health of an organization.
  • Nobel-winning economist Ronald Coase argued that firms exist because transaction costs in an open market are greater than the cost of doing things inside the boundaries of the corporation.
  • four costs — of search, coordination, contracting and establishing trust
  • Blockchains will profoundly affect all of these.
  • you can now synthesize trust on an open platform and people who’ve never met can trust each other to do certain things. So this results in a whole number of new business models
  • It turns out the Internet of Everything needs a Ledger of Everything, because a lightbulb buying power from your neighbor’s solar panel definitely won’t use banks or the Visa network
  • Right now, governments take tax revenue from corporations, individuals, licenses and so on. All of that can change. We can first of all have transparency in a radical sense because sunlight is the best disinfectant. Secondly, we can open up governments in a different sense of sharing data.
  • governments can enable self-organization to occur in society where companies, civil society organizations, NGOs, academics, foundations, and government agencies and individual citizens ought to use this data to self-organize and create what we used to call services or forms of public value. The third one has to do with the relationship between citizens and their governments.
  • There are more opportunities to create government by the people for the people
  • Electronic voting won’t be delivered by traditional server technology because it won’t be trusted by citizens
Tiberius Brastaviceanu

Co-Creating as Disruption to the Dominant Cultural Framework » Wirearchy - 0 views

  • more open people processes
  • Participative processes like Open Space, World Cafes, Unconferences, Peer Circles
  • Barcamps, Wordcamps, Govcamps, Foo Camps, Unconferences, high-end celebrity-and-marketing-and venture-capital ‘experience’ markets, new cultural and artistic festivals with technology-and-culture-making themes
  • ...45 more annotations...
  • maker faires
  • community-and-consensus building, organizing for activism and fundraising
  • The impetus behind this explosion is both technological and sociological
  • Technological
  • information technology and the creation and evolution of the Internet and the Web
  • appearance, development and evolution of social tools, web services, massive storage, and the ongoing development of computer-and-smart-devices development
  • Sociological
  • People are searching for ways to find others with similar interests and motivations so that they can engage in activities that help them learn, find work, grow capabilities and skills, and tackle vexing social and economic problems
  • get informed and take action
  • Developing familiarity and practice with open and collaborative processes
  • play and work together
  • rules about self-management, operate democratically, and produce results grounded in ownership and the responsibilities that have been agreed upon by the ‘community’
  • The relationships and flows of information can be transferred to online spaces and often benefit from wider connectivity.
  • Today, our culture-making activities are well engaged in the early stages of cultural mutation
  • What’s coming along next ?  “Smart” devices and Internet everywhere in our lives ?  Deep(er) changes to the way things are conceived, carried out, managed and used ?  New mental models ?  Or, will we discover real societal limits to what can be done given the current framework of laws, institutions and established practices with which people are familiar and comfortable ?
  • Shorter cycle-based development and release
  • Agile development
  • It is clear evidence that the developmental and learning dynamics generated by continuous or regular feedback loops are becoming the norm in areas of activity in which change and short cycles of product development are constants.
  • The Internet of Things (IoT)
  • clothes, homes, cars, buildings, roads, and a wide range of other objects that have a place in peoples’ daily life activities
  • experiencing major growth, equally in terms of hardware, software and with respect to the way the capabilities are configured and used
  • The IoT concept is being combined with the new-ish concepts of Open Data and Big Data
  • ethical, political and social impact policy decisions
  • that key opportunities associated with widespread uptake of the IoT are derived from the impact upon peoples’ activities and lives
  • ‘we’ are on our way towards more integrated eco-systems of issues, people and technologies
  • participation and inclusion enabled by interconnectedness are quickly becoming the ‘new rules’
  • What the Future May Hold
  • the ‘scenario planning’ approach
  • world’s politics, economics, anthropology, technology, psychology, sociology and philosophy
  • A scenario planning exercise carried out by the Rockefeller Foundation
  • Clearly these early (and now not-so-weak) signals and patterns tell us that the core assumptions and principles that have underpinned organized human activities for most of the past century
  • are being changed by the combinations and permutations of new, powerful, inexpensive and widely accessible information-processing technologies
  • The short description of each scenario reinforces the perception that we are both individually and collectively in transition from a linear, specialized, efficiency-driven paradigm towards a paradigm based on continuous feedback loops and principles of participation, both large and small in scope.
  • cultural ‘mutation’
  • Wirearchy
  • a dynamic two-way flow of power and authority based on knowledge, trust, credibility and a focus on results, enabled by interconnected people and technology.
  • the role of social media and smart mobile devices in the uprisings in Egypt, Libya and elsewhere in the Middle East
  • The roots of organizational development (OD) are in humanistic psychology and sociology action and ethnographic and cybernetic/ socio-technical systems theory.  It’s a domain that emerged essentially as a counter-balance to the mechanistic and machine-metaphor-based core assumptions about the organized activities in our society.
  • Organizational development principles are built upon some basic assumptions about human motivations, engagement and activities.
  • Participative Work Design – The Six Criteria
  • in recent years created models that help clarify how to evaluate and respond to the continuous turbulence and ambiguity generated by participating in interconnected flows of information.
  • contexts characterized by either Simple, Complicated or Chaotic dynamics (from complexity theory fundamentals). Increasingly, Complexity is emerging as a key definer of the issues, problems and opportunities faced by our societies.
  • peer-to-peer movement(s) unfolding around the world
  • Co-creating in a wide range of forms, processes and purpose may become an effective and important antidote to the spreading enclosure of human creative activity.
  • But .. the dominant models of governance, commercial ownership and the use and re-use of that which is co-created by people are going to have to undergo much more deep change in order to disrupt the existing paradigm of proprietary commercial creation and the model of socio-economic power that this paradigm enables and carries today.
Tiberius Brastaviceanu

Value network - Wikipedia - 0 views

  • a business analysis perspective
  • describes
  • resources within and between businesses
  • ...38 more annotations...
  • nodes in a value network represent people
  • nodes are connected by interactions that represent tangible and intangible deliverables
  • Value networks exhibit interdependence
  • Companies have both internal and external value networks.[1]
  • customers or recipients, intermediaries, stakeholders, complementary, open innovation networks and suppliers
  • key activities
  • processes and relationships that cut across internal boundaries
  • Value is created through exchange and the relationships between roles
  • F&S's value networks consists of these components
  • customers
  • Some service the customers all use, and enables interaction between the customers
  • service
  • contracts that enables access to the service
  • the network formed by phone users
  • example
  • example
  • car insurance company
  • how a company understands itself
  • value creation process
  • value creating system
  • all stakeholders co-produce value
  • systematic social innovation
  • strategy as
  • the Value Network to emerge as a mental model
  • Verna Allee defines value networks [5] as any web of relationships that generates both tangible and intangible value through complex dynamic exchanges between two or more individuals, groups or organizations. Any organization or group of organizations engaged in both tangible and intangible exchanges can be viewed as a value network, whether private industry, government or public sector.
  • Allee developed Value network analysis, a whole systems mapping and analysis approach to understanding tangible and intangible value creation among participants in an enterprise system
  • participants, transactions and tangible and intangible deliverables that together form a value network.
  • knowledge
  • benefits
  • favors
  • know-how
  • policy
  • planning
  • process
  • biological organisms, including humans, function in a self-organizing mode internally and externally
  • no central “boss” to control this dynamic activity
  • The purpose of value networks is to create the most benefit for the people involved in the network (5)
    • Tiberius Brastaviceanu
       
      Verna starts with relationships. I think this is wrong. Perceived value and how to get  to it determines the type of relationships we forge with other people with whom we robe shoulders.  
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