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the systems theory is the 00:00:38 study of systems i.e cohesive groups of interrelated interdependent parts that can be natural or human made every system is bounded by space and time influenced by its environment defined by 00:00:51 its structure and purpose and expressed through its functioning
Theoretically speaking, we will answer all your queries inclusive of What is an Embedded System, Embedded System Characteristics, and various Types of Embedded Systems.
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To learn—A rather obvious one, but I wanted to challenge myself again.
I love that Johannes Klingbiel highlights having his own place on the Internet as a means to learn. While I suspect that part of the idea here is to learn about the web and programming, it's also important to have a place you can more easily look over and review as well as build out on as one learns. This dovetails in part with his third reason to have his own website: "to build". It's much harder to build out a learning space on platforms like Medium and Twitter. It's not as easy to revisit those articles and notes as those platforms aren't custom built for those sorts of learning affordances.
Building your own website for learning makes it by definition a learning management system. The difference between my idea of a learning management system here and the more corporate LMSes (Canvas, Blackboard, Moodle, etc.) is that you can change and modify the playground as you go. While your own personal LMS may also be a container for holding knowledge, it is a container for building and expanding knowledge. Corporate LMSes aren't good at these last two things, but are built toward making it easier for a course facilitator to grade material.
We definitely need more small personal learning management systems. (pLMS, anyone? I like the idea of the small "p" to highlight the value of these being small.) Even better if they have social components like some of the IndieWeb building blocks that make it easier for one to build a personal learning network and interact with others' LMSes on the web. I see some of this happening in the Digital Gardens space and with people learning and sharing in public.
[[Flancian]]'s Anagora.org is a good example of this type of public learning space that is taking the individual efforts of public learners and active thinkers and knitting their efforts together to facilitate a whole that is bigger than the sum of it's pieces.
The term autopoiesis (from Greek αὐτo- (auto-) 'self', and ποίησις (poiesis) 'creation, production') refers to a system capable of producing and maintaining itself by creating its own parts.[1] The term was introduced in the 1972 publication Autopoiesis and Cognition: The Realization of the Living by Chilean biologists Humberto Maturana and Francisco Varela to define the self-maintaining chemistry of living cells.[2] Since then the concept has been also applied to the fields of cognition, systems theory, architecture and sociology.
I can't help but think about a quine here...
Only certain kinds of self-organizing complex systems enable collectively beneficial results.
Which? How?
Is there a way to (easily) evolve these into political or economic contexts?
Both involve “invisible hand” magic — intricate, unplanned, “self-organizing” systems.
Bibliographical notes which we extract from the literature, should be captured inside the card index. Books, articles, etc., which we have actually read, should be put on a separate slip with bibliographical information in a separate box.
Ross Ashby's note taking system, also within the field of systems theory, shows the use of an index card set up for bibliographical notes, however in Ashby's case, the primary notes were placed into notebooks and not onto note cards.
Was there an ancestral link within the systems theory community that was spreading these ideas of note taking or were they (more likely) just so ubiquitous in the academic culture that such a link wouldn't have mattered?
(Earlier ancestors like Beatrice Webb may have been a more influential link.)
One of the most basic presuppositions of communication is that the partners can mutually surprise each other.
A reasonably succinct summary of Claude Shannon's 1948 paper The Mathematical Theory of Communication. By 1981 it had firmly ensconced itself into the vernacular, and would have done so for Luhmann as much of systems theory grew out of the prior generation's communication theory.
Marx thereby refused the sharp separation of the economy and the state, and argued that the state embodied the interests of the capitalist class. This tradition of political economy survived in Marxist thought, although it was not greatly extended until the 1960s and 1970s, when it anchored a strong interdisciplinary approach that combined economic, sociological, and political perspectives in the analysis of capitalism—especially in the developing world. Dependency theory and world-systems theory are the most prominent among these.
Marxist political economy dependency theory world-systems theory
The unwritten rule of Cybernetics seems to be - Maintain the homeostasis until you break it for the better. #Cybernetics #Ashby
This is a good rule of thumb for political science as well. Some of our issue in America right now is that we're seeing systemic racism and many want to change it, but we're not sure yet what to replace it with.
The renaissance created scholasticism which created a new system, but too tightly wound religion into the humanist movement. Similarly Englightement Europe and America subsumed the indigenous critique, which opened up ideas about equality and freedom which hadn't existed, but they still kept the structures of hierarchy which have caused immeasurable issues. These movements are worth studying to see how the new systems were created, but with an eye toward more careful development so as not to make things even worse generations later.
Now, we should be clear here: social theory always, necessarily,involves a bit of simplification. For instance, almost any humanaction might be said to have a political aspect, an economic aspect,a psychosexual aspect and so forth. Social theory is largely a gameof make-believe in which we pretend, just for the sake of argument,that there’s just one thing going on: essentially, we reduce everythingto a cartoon so as to be able to detect patterns that would beotherwise invisible. As a result, all real progress in social science hasbeen rooted in the courage to say things that are, in the finalanalysis, slightly ridiculous: the work of Karl Marx, Sigmund Freud orClaude Lévi-Strauss being only particularly salient cases in point.One must simplify the world to discover something new about it. Theproblem comes when, long after the discovery has been made,people continue to simplify.
revisit this... it's an important point, particularly when looking at complex ideas with potentially emergent properties
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an inquiry into filing systems is an inquiry into how society manages its own memory.11
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A Theory of Change and Systems Thinking
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?
faceted classification systems
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.
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).
Trends of Emerging System Properties
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).
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"?
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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
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).
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.

(Design for the Real World, 2019. Page 57.)
The other two figures merely change the caption for the figure.
Education and job hiring should be integrated.
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?
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.
monopoly over public discourse
This is the water we swim in.
Mutual Learning in Living Systems
A definition for symmathesy.
Richard Ramsay brought this session to the attention of our World Weavers group.
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Press, Associated. ‘Texas Drops Mask Mandate Ban Enforcement in Public Schools’. POLITICO. Accessed 23 August 2021. https://www.politico.com/news/2021/08/19/texas-drops-mask-mandate-ban-schools-506339.
Algorithms of Late-Capitalism’ zine.
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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).
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http://www.rollstonepigraphy.com/?p=921
An archaeological find indicates that alphabetic writing may have occurred earlier in history than we've previously known.
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"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.
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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".
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.
Like William Blake said, you either create your own system or get enslaved by another’s.
Interesting quote (direct attribution?) particularly within the context of commonplace books.
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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
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.
“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?
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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.
gRPC can use protocol buffers as both its Interface Definition Language (IDL) and as its underlying message interchange format
protocol buffers as the Interface Definition Language (IDL) for describing both the service interface and the structure of the payload messages.
This improves serialization and deserialization times
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.
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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.
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
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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.
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centralized vs decentralized vs distributed systems
i can't recall where i first saw this graphic - some time mar '21
Tankersley, J., & Crowley, M. (2021, January 14). Biden Outlines $1.9 Trillion Spending Package to Combat Virus and Downturn. The New York Times. https://www.nytimes.com/2021/01/14/business/economy/biden-economy.html
Assessing Open Source Journal Management Software
this is a good start of a mega analysis of all journal management platforms, isn't it?!
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.
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.
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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?
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.
The code is far simpler and easier to understand/verify
Understanding that racism operates on multiple drives us toward taking a systems thinking approach to addressing its impact.
Aksoy. C. G., Eichengreen. B., Saka. O., (2020). The Political Scar of Epidemics. Institute of labor economics. Retrieved from: https://covid-19.iza.org/publications/dp13351/
Bloomberg. (2020). Bloomberg Prognosis: How Covid-19 is Reshaping the Global Healthcare Ecosystem. Retrieved from: https://onlinexperiences.com/scripts/Server.nxp?LASCmd=AI:4;F:QS!10100&ShowUUID=CB925306-099F-4D23-8526-0FDD06AC15C8&LangLocaleID=1033&AffiliateDate=TW
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]]
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]]
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.
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.
The Jamstack removes multiple moving parts and systems from the hosting infrastructure resulting in fewer servers and systems to harden against attack.
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.
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]]
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.
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
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 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.
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.
by @wendynorris
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?
https://facebookmicrosites.github.io/cgroup2/docs/fbtax-results.html
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?
Trucking is now an industry thriving on its workers’ vulnerability
Again, as with most other parts of the supply chain previously mentioned.
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.
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IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13683/.
Instmctional systen1S design (IS D ) is the process for creating instructional systems. It is both systematic and scientific in that it is d ocume ntable , replicable in its general application, and leads to predictable outcomes
BIG KAHUNA OF DEFINITIONS.
ISD is the process of creating Instructional Systems which are
An arrangement, an organized approach, a set of resources and procedures.
Kiss, I. Z., Miller, J., & Simon, P. L. (2017). Mathematics of Epidemics on Networks: From Exact to Approximate Models. Springer International Publishing. https://doi.org/10.1007/978-3-319-50806-1
Consiglio, C. R., Cotugno, N., Sardh, F., Pou, C., Amodio, D., Zicari, S., Ruggiero, A., Pascucci, G. R., Rodriguez, L., Santilli, V., Tan, Z., Eriksson, D., Wang, J., Lakshmikanth, T., Marchesi, A., Lakshmikanth, T., Campana, A., Villani, A., Rossi, P., … Brodin, P. (2020). The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19. MedRxiv, 2020.07.08.20148353. https://doi.org/10.1101/2020.07.08.20148353
Successful long-lived open systems owe their success to building decades-long micro-communities around extensions/plugins, also known as a marketplace.
This could be said of most early web standards like HTML as well...
Shi, W., Wang, L., & Qin, J. (2020). Extracting user influence from ratings and trust for rating prediction in recommendations. Scientific Reports, 10(1), 13592. https://doi.org/10.1038/s41598-020-70350-1
Zhou, Dong, and Amir Bashan. ‘Dependency-Based Targeted Attacks in Interdependent Networks’. Physical Review E 102, no. 2 (3 August 2020): 022301. https://doi.org/10.1103/PhysRevE.102.022301.
See it as an experiment where failure yields valuable insights 🔬.
Try and figure out when you actually are the most productive. When your usage of tools actually works. The insight you gain there could help you figure out what your ideal "productivity situation" is.
Side note, just realized this is a perfect application of cybernetics (at least as far as I understand it so far).
Time management is more about a system that works and less about a tool or just a method
I've been focusing on the wrong things. To do lists aren't going to help me manage my time more effectively. It's a tool through which a system needs to be applied. If I don't have the right system, no tool is going to work.
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Evans, M. C., & Cvitanovic, C. (2018). An introduction to achieving policy impact for early career researchers. Palgrave Communications, 4(1), 1–12. https://doi.org/10.1057/s41599-018-0144-2
Jazayeri, A., & Yang, C. C. (2020). Motif Discovery Algorithms in Static and Temporal Networks: A Survey. ArXiv:2005.09721 [Physics]. http://arxiv.org/abs/2005.09721
Della Rossa, F., & DeLellis, P. (2020). Stochastic master stability function for noisy complex networks. Physical Review E, 101(5), 052211. https://doi.org/10.1103/PhysRevE.101.052211
Yu, Y. W., Delvenne, J.-C., Yaliraki, S. N., & Barahona, M. (2020). Severability of mesoscale components and local time scales in dynamical networks. ArXiv:2006.02972 [Physics]. http://arxiv.org/abs/2006.02972
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Rahmani P, Peruani F, Romanczuk P (2020) Flocking in complex environments—Attention trade-offs in collective information processing. PLoS Comput Biol 16(4): e1007697. https://doi.org/10.1371/journal.pcbi.1007697
Brangwynne, C. (2020 April 29). How a Landmark Physics Paper from the 1970s Uncannily Describes the COVID-19 Pandemic. Scientific American Blog Network. https://blogs.scientificamerican.com/observations/how-a-landmark-physics-paper-from-the-1970s-uncannily-describes-the-covid-19-pandemic/
Health Psychology Exchange
Over the coming years, we will work with local and national governments in these processes seeking to radically alter their dominant way of thinking and working and to experimentally develop new distributed models of non-linear systemic governance
👍on the practical engagement with policy.
Still not really sure what some of the terms mean e.g. what would "distributed models of non-linear systemic governance" look like
More generally, i need a clearer sense of what linear vs non-linear (systems) approaches involve. (e.g. don't command and control systems still involve feedback loops etc?)
I also think i'd like his definition of systems (vs non-system) thinking. I see the term used a lot and i have a sense of this from e.g. Senge or (more precisely) in Commons' MHC "systematic" level.
Global industrial robot sales
In the Beginning was the Command Line -- Neal Stephenson
How Complex Systems Fail
A final word: when we do not understand something, it does not look like there is anything to be understood at all - it just looks like random noise. Just because it looks like noise does not mean there is no hidden structure.
Excellent statement! Could this be the guiding principle of the current big data boom in biology?
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system resilience engineering and hr & governance policies
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