Government funding for academic research will remain limited, and competition for grants will remain high. Broad adjustments will be needed
Breathing Games paper - Google Docs - 1 views
The New Normal in Funding University Science | Issues in Science and Technology - 1 views
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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
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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
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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
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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
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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
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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
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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
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Even though not all doctorate recipients become university faculty, the size of the science and engineering faculty at U.S. universities has grown substantially
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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.
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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
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the human and financial resources invested in science had been increasing much faster than the populations and economies of those regions
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growth in the scientific enterprise would have to slow down at some point, growing no more than the population or the economy.
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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
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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
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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
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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.
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The demand for research money cannot grow faster than the economy forever and the growth curve for research money flattened out long ago.
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The goal cannot be to convince the government to invest a higher proportion of its discretionary spending in research
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Getting more is not in the cards, and some observers think the scientific community will be lucky to keep what it has
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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.
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Why should universities and colleges continue to support scientific research, knowing that the financial benefits are diminishing?
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faculty members are committed to their scholarship and will press on with their research programs even when external dollars are scarce
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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
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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?
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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
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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.
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national conversation about changes in startup packages and by careful consultations with prospective faculty hires about long-term support of their research efforts
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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.
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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.
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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
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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.
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The more likely trajectory of a junior faculty member will evolve from contributing team member to increasing leadership responsibilities to team leader
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nternal evaluations of contributions and potential will become more important in tenure and promotion decisions.
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relationships with foundations, donors, state agencies, and private business will become increasingly important in the funding game
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Further complicating university collaborations with business is that past examples of such partnerships have not always been easy or free of controversy.
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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.
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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
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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.
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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.
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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
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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.
What do we need corporations for and how does Valve's management structure fit into tod... - 0 views
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Valve’s management model; one in which there are no bosses, no delegation, no commands, no attempt by anyone to tell someone what to do
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Every social order, including that of ants and bees, must allocate its scarce resources between different productive activities and processes, as well as establish patterns of distribution among individuals and groups of output collectively produced.
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the allocation of resources, as well as the distribution of the produce, is based on a decentralised mechanism functioning by means of price signals:
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Interestingly, however, there is one last bastion of economic activity that proved remarkably resistant to the triumph of the market: firms, companies and, later, corporations. Think about it: market-societies, or capitalism, are synonymous with firms, companies, corporations. And yet, quite paradoxically, firms can be thought of as market-free zones. Within their realm, firms (like societies) allocate scarce resources (between different productive activities and processes). Nevertheless they do so by means of some non-price, more often than not hierarchical, mechanism!
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The miracle of the market, according to Hayek, was that it managed to signal to each what activity is best for herself and for society as a whole without first aggregating all the disparate and local pieces of knowledge that lived in the minds and subconscious of each consumer, each designer, each producer. How does this signalling happen? Hayek’s answer (borrowed from Smith) was devastatingly simple: through the movement of prices
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The idea of spontaneous order comes from the Scottish Enlightenment, and in particular David Hume who, famously, argued against Thomas Hobbes’ assumption that, without some Leviathan ruling over us (keeping us “all in awe”), we would end up in a hideous State of Nature in which life would be “nasty, brutish and short”
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Hume’s counter-argument was that, in the absence of a system of centralised command, conventions emerge that minimise conflict and organise social activities (including production) in a manner that is most conducive to the Good Life
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Hayek’s argument was predicated upon the premise that knowledge is always ‘local’ and all attempts to aggregate it are bound to fail. The world, in his eyes, is too complex for its essence to be distilled in some central node; e.g. the state.
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The idea here is that, through this ever-evolving process, people’s capacities, talents and ideas are given the best chance possible to develop and produce synergies that promote the Common Good. It is as if an invisible hand guides Valve’s individual members to decisions that both unleash each person’s potential and serve the company’s collective interest (which does not necessarily coincide with profit maximisation).
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Valve differs in that it insists that its employees allocate 100% of their time on projects of their choosing
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In contrast, Smith and Hayek concentrate their analysis on a single passion: the passion for profit-making
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Hume also believed in a variety of signals, as opposed to Hayek’s exclusive reliance on price signalling
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One which, instead of price signals, is based on the signals Valve employees emit to one another by selecting how to allocate their labour time, a decision that is bound up with where to wheel their tables to (i.e. whom to work with and on what)
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He pointed out simply and convincingly that the cost of subcontracting a good or service, through some market, may be much larger than the cost of producing that good or service internally. He attributed this difference to transactions costs and explained that they were due to the costs of bargaining (with contractors), of enforcing incomplete contracts (whose incompleteness is due to the fact that some activities and qualities cannot be fully described in a written contract), of imperfect monitoring and asymmetrically distributed information, of keeping trade secrets… secret, etc. In short, contractual obligations can never be perfectly stipulated or enforced, especially when information is scarce and unequally distributed, and this gives rise to transaction costs which can become debilitating unless joint production takes place within the hierarchically structured firm. Optimal corporation size corresponds, in Coase’s scheme of things, to a ‘point’ where the net marginal cost of contracting out a service or good (including transaction costs) tends to zero
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As Coase et al explained in the previous section, the whole point about a corporation is that its internal organisation cannot turn on price signals (for if it could, it would not exist as a corporation but would, instead, contract out all the goods and services internally produced)
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Each employee chooses (a) her partners (or team with which she wants to work) and (b) how much time she wants to devote to various competing projects. In making this decision, each Valve employee takes into account not only the attractiveness of projects and teams competing for their time but, also, the decisions of others.
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Hume thought that humans are prone to all sorts of incommensurable passions (e.g. the passion for a video game, the passion for chocolate, the passion for social justice) the pursuit of which leads to many different types of conventions that, eventually, make up our jointly produced spontaneous order
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Valve is, at least in one way, more radical than a traditional co-operative firm. Co-ops are companies whose ownership is shared equally among its members. Nonetheless, co-ops are usually hierarchical organisations. Democratic perhaps, but hierarchical nonetheless. Managers may be selected through some democratic or consultative process involving members but, once selected, they delegate and command their ‘underlings’ in a manner not at all dissimilar to a standard corporation. At Valve, by contrast, each person manages herself while teams operate on the basis of voluntarism, with collective activities regulated and coordinated spontaneously via the operations of the time allocation-based spontaneous order mechanism described above.
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In contrast, co-ops and Valve feature peer-based systems for determining the distribution of a firm’s surplus among employees.
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There is one important aspect of Valve that I did not focus on: the link between its horizontal management structure and its ‘vertical’ ownership structure. Valve is a private company owned mostly by few individuals. In that sense, it is an enlightened oligarchy: an oligarchy in that it is owned by a few and enlightened in that those few are not using their property rights to boss people around. The question arises: what happens to the alternative spontaneous order within Valve if some or all of the owners decide to sell up?
Beyond Blockchain: Simple Scalable Cryptocurrencies - The World of Deep Wealth - Medium - 0 views
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I clarify the core elements of cryptocurrency and outline a different approach to designing such currencies rooted in biomimicry
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This post outlines a completely different strategy for implementing cryptocurrencies with completely distributed chains
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we are interested in the resilience that comes from building a rich ecosystem of interoperable currencies
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Holdings are electronic and only exist and operate by virtue of a community’s agreement about how to interpret digital bits according to rules about operation and accounting of the currency.
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Specifically, access, issuance, transaction accounting, rules & policies, should be collectively visible, known, and held.
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This cryptographic structure is used to enable a variety of people to host the data without being able to alter it.
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there must be a way to associate these bits with some kind of account, wallet, owner, or agent who can use them
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Other things that many take for granted in blockchains may not be core but subject to decisions in design and implementation, so they can vary between implementations
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does not have to be money. It may be a reputation currency, or data used for identity, or naming, etc
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Then you must tackle the problem of always tracking which coins exist, and which have been spent. That is one approach — the one blockchain takes.
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You might optimize for anonymity if you think of cryptocurrency as a tool to escape governments, regulations, and taxes.
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if you want to establish and manage membership in new kinds of commons, then identity and accountability for actions may turn out to be necessary ingredients instead of anonymity.
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In the case of the MetaCurrency Project, we are trying to support many use cases by building tools to enable a rich ecosystem of communities and current-sees (many are non-monetary) to enhance collective intelligence at all scales.
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Managing consensus about a shared reality is a central challenge at the heart of all distributed computing solutions.
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If we want to democratize money by having cryptocurrencies become a significant and viable means of transacting on a daily basis, I believe we need fundamentally more scalable approaches that don’t require expensive, dedicated hardware just to participate.
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Blockchain is about managing a consensus about what was “said.” Ceptr is about distributing a consensus about how to “speak.”
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how nature gets the job done in massively scalable systems which require coordination and consistency
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Each speaker of a language carries the processes to understand sentences they hear, and generate sentences they need
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we certainly don’t carry some kind of global ledger of everything that’s ever been said, or require consensus about what has been said
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there is certainly no global ledger with consensus about the state of trillions of cells. Yet, from a single zygote’s copy of DNA, our cells coordinate in a highly decentralized manner, on scales of trillions, and without the latency or bottlenecks of central control.
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Imagine something along the lines of a Java Virtual Machine connected to a distributed version of Github
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Every time this JVM runs a program it confirms the hash of the code it is about to execute with the hash signed into the code repository by its developers
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This allows each node that intends to be honest to be sure that they’re running the same processes as everyone else. So when two parties want to do a transaction, and each can have confidence their own code, and the results that your code produces
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Then you treat it as authoritative and commit it to your local cryptographically self-validating data store
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Allowing each node to treat itself as a full authority to process transactions (or interactions via shared protocols) is exactly how you empower each node with full agency. Each node runs its copy of the signed program/processes on its own virtual machine, taking the transaction request combined with the transaction chains of the parties to the transaction. Each node can confirm their counterparty’s integrity by replaying their transactions to produce their current state, while confirming signatures and integrity of the chain
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If both nodes are in an appropriate state which allows the current transaction, then they countersign the transaction and append to their respective chains. When you encounter a corrupted or dishonest node (as evidenced by a breach of integrity of their chain — passing through an invalid state, broken signatures, or broken links), your node can reject the transaction you were starting to process. Countersigning allows consensus at the appropriate scale of the decision (two people transacting in this case) to lock data into a tamper-proof state so it can be stored in as many parallel chains as you need.
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When your node appends a mutually validated and signed transaction to its chain, it has updated its local state and is able to represent the integrity of its data locally. As long as each transaction (link in the chain) has valid linkages and countersignatures, we can know that it hasn’t been tampered with.
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If you can reliably embody the state of the node in the node itself using Intrinsic Data Integrity, then all nodes can interact in parallel, independent of other interactions to maximize scalability and simultaneous processing. Either the node has the credits or it doesn’t. I don’t have to refer to a global ledger to find out, the state of the node is in the countersigned, tamper-proof chain.
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Just like any meaningful communication, a protocol needs to be established to make sure that a transaction carries all the information needed for each node to run the processes and produce a new signed and chained state. This could be debits or credits to an account which modify the balance, or recoding courses and grades to a transcript which modify a Grade Point Average, or ratings and feedback contributing to a reputation score, and so on.
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By distributing process at the foundation, and leveraging Intrinsic Data Integrity, our approach results in massive improvements in throughput (from parallel simultaneous independent processing), speed, latency, efficiency, and cost of hardware.
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Another noteworthy observation about humans, cells, and atoms, is that each has a general “container” that gets configured to a specific use.
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Likewise, the Receptors we’ve built are a general purpose framework which can load code for different distributed applications. These Receptors are a lightweight processing container for the Ceptr Virtual Machine Host
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Ceptr enables a developer to focus on the rules and transactions for their use case instead of building a whole framework for distributed applications.
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Most people think that money is just money, but there are literally hundreds of decisions you can make in designing a currency to target particular needs, niches, communities or patterns of flow.
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the challenging task of tracking all the coins that exist to ensure there is no counterfeiting or double-spending
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You wouldn’t need to manage consensus about whether a cryptocoin is spent, if your system created accounts which have normal balances based on summing their transactions.
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In a mutual credit system, units of currency are issued when a participant extends credit to another user in a standard spending transaction
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Managing the currency supply in a mutual credit system is about managing credit limits — how far people can spend into a negative balance
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keep in mind there can be different classes of accounts. Easy to create, anonymous accounts may get NO credit limit
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What if I alter my code to give myself an unlimited credit limit, then spend as much as I want? As soon as you pass the credit limit encoded in the shared agreements, the next person you transact with will discover you’re in an invalid state and refuse the transaction.
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If two people collude to commit an illegal transaction by both hacking their code to allow a normally invalid state, the same still pattern still holds. The next person they try to transact with using untampered code will detect the problem and decline to transact.
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Hawala is a network of merchants and businessmen, which has been operating since the middle ages, performing money transfers on an honor system and typically settling balances through merchandise instead of transferring money
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To minimize key management infrastructure, each hawaladar’s public key is their address or identity on the network. To join the network you get a copy of the software from another hawaladar, generate your public and private keys, and complete your personal profile (name, location, contact info, etc.). You call, fax, or email at least 10 hawaladars who know you, and give them your IP address and ask them to vouch for you.
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Once 10 other hawaladars have vouched for you, you can start doing other transactions because the protocol encoded in every node will reject a transaction chain that doesn’t start with at least 10 vouches
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As described in the Mutual Credit section, at the time of transaction each party audits the counterparty’s transaction chain.
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Our hawala crypto-clearinghouse protocol has two categories of transactions: some used for accounting and others for routing. Accounting transactions change balances. Routing transactions maintain network integrity by recording information about hawaladar
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The final hash of all of the above fields is used as a unique transaction ID and is what each of party signs with their private keys. Signing indicates a party has agreed to the terms of the transaction. Only transactions signed by both parties are considered valid. Nodes can verify signatures by confirming that decryption of the signature using the public key yields a result which matches the transaction ID.
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As with accounting transactions, the hash of the above fields is used as the transaction’s unique key and the basis for the cryptographic signature of both counterparties.
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Remember, instead of making changes to account balances, routing transactions change a node’s local list of peers for finding each other and processing.
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It would be possible for someone to hack the code on their node to “forget” their most recent transaction (drop the head of their chain), and go back to their previous version of the chain before that transaction. Then they could append a new transaction, drop it, and append again.
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After both parties have signed the agreed upon transaction, each party submits the transaction to separate notaries. Notaries are a special class of participant who validate transactions (auditing each chain, ensuring nobody passes through an invalid state), and then they sign an outer envelope which includes the signatures of the two parties. Notaries agree to run high-availability servers which collectively manage a Distributed Hash Table (DHT) servicing requests for transaction information. As their incentive for providing this infrastructure, notaries get a small transaction fee.
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This approach introduces a few more steps and delays to the transaction process, but because it operates on independent parallel chains, it is still orders of magnitude more efficient and decentralized than reaching consensus on entries in a global ledger
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millions of simultaneous transactions could be getting processed by other parties and notaries with no bottlenecks.
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There are other solutions to prevent nodes from dropping the head of their transaction chain, but the approach of having notaries serve out a DHT solves a number of common objections to completely distributed accounting. Having access to reliable lookups in a DHT provides a similar big picture view that you get from a global ledger. For example, you may want a way to look up transactions even when the parties to that transaction are offline, or to be able to see the net system balance at a particular moment in time, or identify patterns of activity in the larger system without having to collect data from everyone individually.
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By leveraging Intrinsic Data Integrity to run numerous parallel tamper-proof chains you can enable nodes to do various P2P transactions which don’t actually require group consensus. Mutual credit is a great way to implement cryptocurrencies to run in this peered manner. Basic PKI with a DHT is enough additional infrastructure to address main vulnerabilities. You can optimize your solution architecture by reserving reserve consensus work for tasks which need to guarantee uniqueness or actually involve large scale agreement by humans or automated contracts.
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It is not only possible, but far more scalable to build cryptocurrencies without a global ledger consensus approach or cryptographic tokens.
Design Like No One Is Patenting - How SparkFun Stays Ahead of the Pack - 0 views
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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.
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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
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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.”
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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.
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You can learn a lot about what a company cares about by looking at what they give away and what they protect.
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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.
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“We try to do small runs and order in small quantities. Especially something that’s going to be obsolete quickly.”
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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.
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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.”
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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.”
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“They eat these products up, even if the products are not ready for the mainstream & educator community due to minimal documentation or stability.”
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symbiotic relationship with these early adopters, where feedback helps SparkFun revised and improve products for use by the rest of the community
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“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.”
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“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.”
Sequence - Web3 and Blockchain APIs for Games and Dapps - 1 views
Minecraft - Guild Hosting - Clan Websites - Free Website Builder | Enjin - 0 views
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