322 Matching Annotations
  1. Nov 2021
    1. people reading the same book at the same time, exploring the same ideas…Norms around signalling you're interested in something, and the extent of your interest, would go far

      How do we find the connections we don't know we're looking for?

    1. it is true that the systems theory does not emanate with given, natural or morally, absolutely predetermined external variables, instances or criteria, but assumes that all scales of the assessment of action are formulated in the society itself and at once written as an abstraction to its heaven, even although it is changing with the development of society.

      This sounds a lot like the formulation of anthropology that I've been contemplating.

    1. This division is as much of a mistake as the error made by universities when they teach chemistry in a different class from biology and physics.

      The inability to think holistically is the problem.

    1. Now that we're digitizing the Zettelkasten we often find dated notes that say things like "note 60,7B3 is missing". This note replaces the original note at this position. We often find that the original note is maybe only 20, 30 notes away, put back in the wrong position. But Luhmann did not start looking, because where should he look? How far would he have to go to maybe find it again? So, instead he adds the "note is missing"-note. Should he bump into the original note by chance, then he could put it back in its original position. Or else, not.

      Niklas Luhmann had a simple way of dealing with lost cards by creating empty replacements which could be swapped out if found later. It's not too dissimilar to doing inventory in a book store where mischievous customers pick up books, move them, or even hide them sections away. Going through occasionally or even regularly or systematically would eventually find lost/misfiled cards unless they were removed entirely from the system (similar to stolen books).

    1. Trends of Emerging System Properties
    2. Applying Systems Engineering to Policy

      The model to the right lacks references to a democatised control of this expert-driven decision making process, which does not reflect the increased complexity in decentralized demographics in a 'system of systems' (see p. 12).

  2. Oct 2021
    1. Analog zur Struktur des Zettelkastens baut Luhmanns Systemtheorie nicht auf Axiome und bietet keine Hierarchien von Begriffen oder Thesen. Zentrale Begriffe sind, ebenso wie die einzelnen Zettel, stark untereinander vernetzt und gewinnen erst im Kontext Bedeutung.

      machine translation:

      Analogous to the structure of the card box, Luhmann's system theory is not based on axioms and does not offer any hierarchies of terms or theses. Central terms, like the individual pieces of paper, are strongly interlinked and only gain meaning in the context.

      There's something interesting here about avoiding hierarchies and instead interlinking things and giving them meaning based on context.

      Could a reformulation of ideas like the scala naturae into these sorts of settings be a way to remove some of the social cruft from our culture from an anthropological point of view? This could help us remove structural racism and other issues we have with genetics and our political power structures.

      Could such a redesign force the idea of "power with" and prevent "power over"?

    1. Types of ERP Systems

      Learn about different types of ERP software solutions — custom, ready-made, cloud, on-premises, industry-specific, generic — and get our suggestions for the leading ERP software. Which is best for you? Or, maybe it's time to think about erp development for your custom needs?

    1. Teach pluralism before practice. For me, the foundation of systems work is that there is no one right way to respond to complexity.

      .systems thinking

    1. Academia: All the Lies: What Went Wrong in the University Model and What Will Come in its Place

      “Students are graduating into a brutal job market.”

      The entreprecariat is designed for learned helplessness (social: individualism), trained incapacities (economic: specialization), and bureaucratic intransigence (political: authoritarianism).

      The Design Problem

      Three diagrams will explain the lack of social engagement in design. If (in Figure 1) we equate the triangle with a design problem, we readily see that industry and its designers are concerned only with the tiny top portion, without addressing themselves to real needs.

      Figure 1: The Design Problem

      (Design for the Real World, 2019. Page 57.)

      The other two figures merely change the caption for the figure.

      • Figure 1: The Design Problem
      • Figure 2: A Country
      • Figure 3: The World
    1. Education and job hiring should be integrated.

      Systemic Problems

      The problem is systemic. How do you deal with the problem when the system is off the table when it comes to the design problem?

    1. COPE: Create Once, Publish Everywhere

      Adaptive Content

      COPE: Create Once, Publish Everywhere

      With the growing need and ability to be portable comes tremendous opportunity for content providers. But it also requires substantial changes to their thinking and their systems.

  3. Sep 2021
    1. The Best ERP Systems to Fulfill Your Business Goals

      The guide below will explain what ERP software can do, discuss the advantages of choosing the right ERP for your business and explain what to look for in an ERP system for optimal benefits or maybe it help you realize that it's time to think about custom ERP development

  4. Aug 2021
    1. William Ross Ashby (1903-1972) was a British pioneer in the fields of cybernetics and systems theory. He is best known for proposing the law of requisite variety, the principle of self-organization, intelligence amplification, the good regulator theorem, building the automatically stabilizing Homeostat, and his books Design for a Brain (1952) and An Introduction to Cybernetics (1956).

  5. Jul 2021
    1. Smart farming or precision farming is an approach to integrate the latest technology advancements with the world’s oldest industry. It’s the perfect amalgamation of two different worlds, and IoT devices are at the core of this revolution.
    1. "The earlier systems of writing were extremely difficult to learn," says Schwartz, the Whiting Professor of Archaeology in the Department of Near Eastern Studies. "There were thousands of symbols used in very complicated ways, which meant that only a very small group of people could ever learn how to write or read. With the invention of the alphabet, it meant that a much larger number of people could, in theory, learn how to read and write. And so it ultimately led to the democratization of writing. And of course it is the system that all Western European writing systems used because Greeks, who borrowed the Semitic alphabetic system, then used it to write their own language."

      Early writing systems used thousands of symbols and were thus incredibly complex and required heavy memorization. This may have been easier with earlier mnemonic systems in oral (pre-literate societies), but would have still required work.

      The innovation of a smaller alphabetic set would have dramatically decreased the cognitive load of massive memorization and made it easier for people to become literate at scale.

    1. Against Canvas

      I love that he uses this print of Pablo Picasso's Don Quixote to visually underline this post in which he must feel as if he's "tilting at windmills".

    2. All humanities courses are second-class citizens in the ed-tech world.

      And worse, typically humans are third-class citizens in the ed-tech world.

  6. Jun 2021
    1. Our journey toward being completely open is continuous. Yet, in the relatively brief time that we’ve been doing this, we’ve observed three important lessons that we want to share with you:Access stimulates progressWorking openly promotes communication and accountabilitySlowing down first allows us to speed up later
    1. This leads us to Markovits’s second critique of the aspirational view: The cycle that produces meritocratic inequality severely harms not only the middle class but the very elite who seem to benefit most from it.

      What if we look at meritocracy from a game theoretic viewpoint?

      Certainly there's an issue that there isn't a cap on meritocratic outputs, so if one wants more wealth, then one needs to "simply" work harder. As a result, in a "keeping up with the Jones'" society that (incorrectly) measures happiness in wealth, everyone is driven to work harder and faster for their piece of the pie.

      (How might we create a sort of "set point" to limit the unbounded meritocratic cap? Might this create a happier set point/saddle point on the larger universal graph?)

      This effect in combination with the general drive to have "power over" people instead of "power with", etc. in combination with racist policies can create some really horrific effects.

      What other compounding effects might there be? This is definitely a larger complexity-based issue.

    1. “In the past the man has been first,” he declared; “in the future the system must be first.”

      This is the problem however. We can't program humans out of the equation entirely, for what is the general enterprise meant for in the first place?

    1. Our world is shaped by humans who make decisions, and technology companies are no different…. So the assertion that technology companies can’t possibly be shaped or restrained with the public’s interest in mind is to argue that they are fundamentally different from any other industry

      We are part of sociotechnical systems.

  7. May 2021
    1. protocol buffers as the Interface Definition Language (IDL) for describing both the service interface and the structure of the payload messages.
    1. A fourth theme to emerge from the analysis of the data, is the highly relevant ‘cultural’ aspect to this memorization technique which students greatly appreciated. As one student notes: “I like the idea of connecting Indigenous culture with science learning…”. The theme of culture overlays learning and demonstrates the importance of conceptualising Australian Aboriginal ways of knowing or learning with or from rather than about Australian Aboriginal people and their knowledge systems. As Yunkaporta [2, p. 15] states, it is important not to examine Australian Aboriginal knowledge systems, but to explore the external systems “from an Indigenous knowledge perspective”.

      This is so heartwarming to me.

  8. Apr 2021
    1. A Type is the highest-level differentiation a component can have.

      This is the word i have been looking for to use with consistency about something above a state.

    1. It's at the right position: the first frame or artboard of all is located at x:0 y:0

      This is something I always miss, and it seems to s obvious way to anchor the chaos

    1. I didn’t know it at the time, but I was building a design system.

      This is why reluctance to use a design system is weird. It basically HAS to exist even if unused to properly do prototyping.

  9. Mar 2021
    1. Assessing Open Source Journal Management Software

      this is a good start of a mega analysis of all journal management platforms, isn't it?!

    1. System architects: equivalents to architecture and planning for a world of knowledge and data Both government and business need new skills to do this work well. At present the capabilities described in this paper are divided up. Parts sit within data teams; others in knowledge management, product development, research, policy analysis or strategy teams, or in the various professions dotted around government, from economists to statisticians. In governments, for example, the main emphasis of digital teams in recent years has been very much on service design and delivery, not intelligence. This may be one reason why some aspects of government intelligence appear to have declined in recent years – notably the organisation of memory.57 What we need is a skill set analogous to architects. Good architects learn to think in multiple ways – combining engineering, aesthetics, attention to place and politics. Their work necessitates linking awareness of building materials, planning contexts, psychology and design. Architecture sits alongside urban planning which was also created as an integrative discipline, combining awareness of physical design with finance, strategy and law. So we have two very well-developed integrative skills for the material world. But there is very little comparable for the intangibles of data, knowledge and intelligence. What’s needed now is a profession with skills straddling engineering, data and social science – who are adept at understanding, designing and improving intelligent systems that are transparent and self-aware58. Some should also specialise in processes that engage stakeholders in the task of systems mapping and design, and make the most of collective intelligence. As with architecture and urban planning supply and demand need to evolve in tandem, with governments and other funders seeking to recruit ‘systems architects’ or ‘intelligence architects’ while universities put in place new courses to develop them.
    1. The study, published in Nature Food, presents EDGAR-FOOD – the first database to break down emissions from each stage of the food chain for every year from 1990 to 2015. The database also unpacks emissions by sector, greenhouse gas and country. 
  10. Feb 2021
  11. parsejournal.com parsejournal.com
    1. ost-humanist perspective that foregrounds the apparatuses within which possibilities for action and judgement take shape, and confront visitors with the complex ways in which they are part of these systems and networks. How to be a responsible node in an Actor-Network?
    1. AI agents can acquire novel behaviors as they interact with the world around them and with other agents. The behaviors learned from such interactions are virtually impossible to predict, and even when solutions can be described mathematically, they can be “so lengthy and complex as to be indecipherable,” according to the paper.

      The sheer number of interacting variables that you'd need to track makes it impossible to make any accurate predictions.

  12. Jan 2021
    1. The theme I find most interesting here is ontology as a system of relations between felt senses, and metaphysics as the relation between this network of felt-senses and the world.

      synchronicity and harmonization between inner body systems #[[integrated systems]]

    2. At any rate, if CSHW can be used to build a good quantitative model of human-human interactions, it might also be possible to replicate these dynamics in human-computer interactions. This could take a weak form, such as building computer systems with a similar-enough interactional syntax to humans that some people could reach entrainment with it; affective computing done right.

      [[Aligning Recommender Systems]]

    1. the commonplace book has been particularly beloved by poets, whose business is the revelation of wholeness through the fragmentary

      Gestalt: the whole is greater than the sum of the parts. See also, emergence in chaos theory and complexity.

  13. Dec 2020
    1. Types of Structure Outliners take advantage of what may be the most primitive of relationships, probably the first one you learned as an infant: in. Things can be in or contained by other things; alternatively, things can be superior to other things in a pecking order. Whatever the cognitive mechanics, trees/hierarchies are a preferred way of structuring things. But it is not the only way. Computer users also encounter: links, relationships, attributes, spatial/tabular arrangements, and metaphoric content. Links are what we know from the Web, but they can be so much more. The simplest ones are a sort of ad hoc spaghetti connecting pieces of text to text containers (like Web pages), but we will see many interesting kinds that have names, programs attached, and even work two-way. Relationships are what databases do, most easily imagined as “is-a” statements which are simple types of rules: Ted is a supervisor, supervisors are employees, all employees have employee numbers. Attributes are adjectives or tags that help characterize or locate things. Finder labels and playlists are good examples of these. Spatial/tabular arrangements are obvious: the very existence of the personal computer sprang from the power of the spreadsheet. Metaphors are a complex and powerful technique of inheriting structure from something familiar. The Mac desktop is a good example. Photoshop is another, where all the common tools had a darkroom tool or technique as their predecessor.

      Structuring Information

      Ted Goranson holds that there are only a couple of ways to structure information.

      In — Possibly the most primitive of relationships. Things can be in other things and things can be superior to other things.

      Links —Links are what we know from the web, but these types of links or only one implementation. There are others, like bi-directional linking.

      Relationships — This is what we typically use databases for and is most easily conceived as "is-a" statements.

      Attributes — Adjectives or tags that help characterize or locate things.

      Metaphors — A technique for inheriting structure from something familiar.

    1. wealth persist across racial groups.

      EXAMINE THE SYSTEMS WHICH HELP TO ENFORCE THIS RACIAL INCOME DIVIDE! Most relate. Fixing these systems could help to bridge the income gap between racial groups. Even laws so ingrained in us.

    1. Sometimes, systems just scale the problemA UI design system is more than the code of a component library. It’s more than the colors, styles, and margins of your elements. It’s an ever-growing and ever-evolving creature that entails your brand and your user’s feelings.

      If you don't understand the problem - you can [[scale the problem instead of solve the problem]], and it's important to remember that a [[design system is more than a component library]]

    1. Instead of publishing a single one-size-fits package for components, we create an ecosystem where everyone works together yet deliver independently. The design system’s team role is to facilitate and regulate, not block or enforce.

      I think this is a really important point - the design system's team is to facilitate, not gatekeep.

    2. What you see here is a page composed of shared components. However, these are independent components developed and owned by different teams and published from different projects, which are mixed and integrated together.

      the move towards single page applications, component centric frameworks, etc has shifted how we view building webpages.

      It is not so much that we are building a page, but we are building components that we assemble into a page.

      We’re not designing pages, we’re designing systems of components.—Stephen Hay via atomic design

    3. The design of your system is not ready until you have two assets:a) A style-guide that defines the styling and implementation of your UI. This is usually a rather long document with a lot of text and typography.b) A set of reusable visual elements that bring together both visual (UI) and functional (UX) consistency through components. This is usually a rather large canvas with elements drawn on Figma or Sketch etc (we use both).

      there are two [[primary assets of a design system[[

      • the style guide
      • the reusable elements - an implementation of the style guide
    4. The benefits of our system go way beyond UI/UX consistency. We greatly accelerated and scaled our development, improved our product quality, and greatly improved work between developers, designers, and everyone else.

      Design systems enable faster development and delivery, and help teams scale - and have value beyond UI/UX consistency.

  14. Nov 2020
    1. The real heart of the matter of selection, however, goes deeper than a lag in the adoption of mechanisms by libraries, or a lack of development of devices for their use. Our ineptitude in getting at the record is largely caused by the artificiality of systems of indexing. When data of any sort are placed in storage, they are filed alphabetically or numerically, and information is found (when it is) by tracing it down from subclass to subclass. It can be in only one place, unless duplicates are used; one has to have rules as to which path will locate it, and the rules are cumbersome. Having found one item, moreover, one has to emerge from the system and re-enter on a new path.

      Bush emphasises the importance of retrieval in the storage of information. He talks about technical limitations, but in this paragraph he stresses that retrieval is made more difficult by the "artificiality of systems of indexing", in other words, our default file-cabinet metaphor for storing information.

      Information in such a hierarchical architecture is found by descending down into the hierarchy, and back up again. Moreover, the information we're looking for can only be in one place at a time (unless we introduce duplicates).

      Having found our item of interest, we need to ascend back up the hierarchy to make our next descent.

  15. Oct 2020
    1. Linux Memory Management at Scale

      "we had to build a complete and compliant operating system in order to perform resource control reliably"

      epic real-talk. the only people on the planet who seemed to have tamed linux for workloads. controlling memory. taming io. being on the bleeding edge, it turns out, is almost entirely about forward-progress. what can we reclaim?

      • oomd for memory protection
      • fbtax2
      • psi monitoring for io regulation
      • cgroups v2


    1. You have no choice. You can shop at a store that pays its workers better, sure, but the real atrocities have taken place long before your desired products have reached the shelf, and the stickers have nothing to do with it. “And here grocery has one last trick,” Lorr writes: “it allows us to hate our shrimp and eat it too. The image of the bad polluting aquaculture farmer or vulnerable exploited migrant gets imprinted in our first-world brain, while the fungibility of commodity goods—that maze of brokers and agents—gives the entire system the plausible deniability it craves.”

      Systemic change is hard. But it is the most effective tool for the job. Where are the levers and where can we stand? Who has the power and motive to make these changes?

    2. Trucking is now an industry thriving on its workers’ vulnerability

      Again, as with most other parts of the supply chain previously mentioned.

    3. boycotting a single product is pointless. “Look at what happens when abused children get pushed out of labor markets. They typically don’t suddenly find better jobs. They get pushed further underground,” he says. “What you in the West have to realize is the entire narrative is backwards. In trafficking, the media focuses on why and where poor people get into difficult situations. But maybe we should be looking at why they are poor to begin with?” The answer is, of course, the “hunger behind our hunger.”

      And now we're back to systemic problems, and how to fix them.