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robertogreco : feedbackloops   10

LOOPY: a tool for thinking in systems
"In a world filled with ever-more-complex technological, sociological, ecological, political & economic systems... a tool to make interactive simulations may not be that much help. But it can certainly try.

play with simulations
It's the ancient, time-honored way of learning: messing around and seeing what happens. Play with simulations to ask "what if" questions, and get an intuition for how the system works!

programming by drawing
Raw code is too inaccessible. Also drag-and-drop is too mainstream. But with LOOPY, you can model systems by simply drawing circles & arrows, like a wee baby

remix others' simulations
Want to build upon your friends' models? Or challenge your enemies' models? LOOPY lets you have a conversation with simulations! You can go from thinking in systems, to talking in systems.

Like duct tape, you can use LOOPY for all sorts of things:


However you choose to use LOOPY, hopefully it can give you not just the software tools, but also the mental tools to understand the complex systems of the world around us. It's a hot mess out there.

LOOPY is also open source and public domain, meaning it's free for coders, educators, and just about anybody to re-use and re-mix LOOPY as they see fit. (Get the source code on Github!)

LOOPY is made by Nicky Case"

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dataviz  systems  simulation  simulations  onlinetoolkit  maps  mapping  systemsthinking  drawing  feedbackloops  visualization 
august 2017 by robertogreco
Nicky Case: Seeing Whole Systems - The Long Now
"Nicky Case is an independent game developer who creates interactive games and simulations including Parable of the Polygons (02014), Coming Out Simulator (02014), We Become What We Behold (02016), To Build A Better Ballot (02016), and LOOPY (02017).

Nicky Case’s presentations are as ingenious, compelling, and graphically rich as the visualizing tools and games Nicky creates for understanding complex dynamic systems.

Case writes: “We need to see the non-linear feedback loops between culture, economics, and technology. Not only that, but we need to see how collective behavior emerges from individual minds and motives. We need new tools, theories, and visualizations to help people talk across disciplines.”

Nicky Case is the creator of Parable of the Polygons (02014), Coming Out Simulator (02014), We Become What We Behold (02016), To Build A Better Ballot (02016), and LOOPY (02017).

How to finesse complexity

HE BEGAN, “Hi, I’m Nicky Case, and I explain complex systems in a visual, tangible, and playful way.” He did exactly that with 207 brilliant slides and clear terminology. What system engineers call “negative feedback,” for example, Case calls “balancing loops.” They maintain a value. Likewise “positive feedback” he calls “reinforcing loops.” They increase a value

Using examples and stories such as the viciousness of the board game Monopoly and the miracle of self-organizing starlings, Case laid out the visual basics of finessing complex systems. A reinforcing loop is like a ball on the top of a hill, ready to accelerate downhill when set in motion. A balancing loop is like a ball in a valley, always returning to the bottom of the valley when perturbed.

Now consider how to deal with a situation where you have an “attractor” (a deep valley) that attracts a system toward failure:


The situation is precarious for the ball because it is near a hilltop that is a reinforcing loop. If the ball is nudged over the top, it will plummet to the bottom of the balancing-loop valley and be stuck there. It would take enormous effort raise the ball out of such an attractor—which might be financial collapse or civil war. Case’s solution is not to try to move the ball, MOVE THE HILLS—identify the balancing and reinforcing loops in the system and weaken or strengthen them as needed to reconfigure the whole system so that the desired condition becomes the dominant attractor.

Now add two more characteristics of the real world—dense networks and chaos (randomness). They make possible the phenomena of emergence (a whole that is different than the sum of its parts) and evolution. Evolution is made of selection (managed by reinforcing and balancing loops) plus variation (unleashed by dense networks and chaos). You cannot control evolution and should not try--that way lies totalitarianism. Our ever popular over-emphasis on selection can lead to paralyzed systems—top-down autocratic governments and frozen businesses. Case urges attention to variation, harnessing networks and chaos from the bottom up via connecting various people from various fields, experimenting with lots of solutions, and welcoming a certain amount of randomness and play. “Design for evolution,” Case says, “and the system will surprise you with solutions you never thought of.”

To do that, “Make chaos your friend.”

--Stewart Brand"
systems  systemsthinking  nickycase  2017  illustration  visualization  longnow  maps  mapping  stewartbrand  games  gaming  gamedesign  capitalism  socialism  monopoly  economics  technology  culture  precarity  chaos  networks  evolution  socialtrust  voting  design  complexity  abstraction  communication  jargon  unknown  loopiness  alinear  feedbackloops  interconnectedness  dataviz  predictions  interconnected  nonlinear  linearity  interconnectivity 
august 2017 by robertogreco
Physiognomy’s New Clothes – Blaise Aguera y Arcas – Medium
"In 1844, a laborer from a small town in southern Italy was put on trial for stealing “five ricottas, a hard cheese, two loaves of bread […] and two kid goats”. The laborer, Giuseppe Villella, was reportedly convicted of being a brigante (bandit), at a time when brigandage — banditry and state insurrection — was seen as endemic. Villella died in prison in Pavia, northern Italy, in 1864.

Villella’s death led to the birth of modern criminology. Nearby lived a scientist and surgeon named Cesare Lombroso, who believed that brigantes were a primitive type of people, prone to crime. Examining Villella’s remains, Lombroso found “evidence” confirming his belief: a depression on the occiput of the skull reminiscent of the skulls of “savages and apes”.

Using precise measurements, Lombroso recorded further physical traits he found indicative of derangement, including an “asymmetric face”. Criminals, Lombroso wrote, were “born criminals”. He held that criminality is inherited, and carries with it inherited physical characteristics that can be measured with instruments like calipers and craniographs [1]. This belief conveniently justified his a priori assumption that southern Italians were racially inferior to northern Italians.

The practice of using people’s outer appearance to infer inner character is called physiognomy. While today it is understood to be pseudoscience, the folk belief that there are inferior “types” of people, identifiable by their facial features and body measurements, has at various times been codified into country-wide law, providing a basis to acquire land, block immigration, justify slavery, and permit genocide. When put into practice, the pseudoscience of physiognomy becomes the pseudoscience of scientific racism.

Rapid developments in artificial intelligence and machine learning have enabled scientific racism to enter a new era, in which machine-learned models embed biases present in the human behavior used for model development. Whether intentional or not, this “laundering” of human prejudice through computer algorithms can make those biases appear to be justified objectively.

A recent case in point is Xiaolin Wu and Xi Zhang’s paper, “Automated Inference on Criminality Using Face Images”, submitted to arXiv (a popular online repository for physics and machine learning researchers) in November 2016. Wu and Zhang’s claim is that machine learning techniques can predict the likelihood that a person is a convicted criminal with nearly 90% accuracy using nothing but a driver’s license-style face photo. Although the paper was not peer-reviewed, its provocative findings generated a range of press coverage. [2]
Many of us in the research community found Wu and Zhang’s analysis deeply problematic, both ethically and scientifically. In one sense, it’s nothing new. However, the use of modern machine learning (which is both powerful and, to many, mysterious) can lend these old claims new credibility.

In an era of pervasive cameras and big data, machine-learned physiognomy can also be applied at unprecedented scale. Given society’s increasing reliance on machine learning for the automation of routine cognitive tasks, it is urgent that developers, critics, and users of artificial intelligence understand both the limits of the technology and the history of physiognomy, a set of practices and beliefs now being dressed in modern clothes. Hence, we are writing both in depth and for a wide audience: not only for researchers, engineers, journalists, and policymakers, but for anyone concerned about making sure AI technologies are a force for good.

We will begin by reviewing how the underlying machine learning technology works, then turn to a discussion of how machine learning can perpetuate human biases."

"Research shows that the photographer’s preconceptions and the context in which the photo is taken are as important as the faces themselves; different images of the same person can lead to widely different impressions. It is relatively easy to find a pair of images of two individuals matched with respect to age, race, and gender, such that one of them looks more trustworthy or more attractive, while in a different pair of images of the same people the other looks more trustworthy or more attractive."

"On a scientific level, machine learning can give us an unprecedented window into nature and human behavior, allowing us to introspect and systematically analyze patterns that used to be in the domain of intuition or folk wisdom. Seen through this lens, Wu and Zhang’s result is consistent with and extends a body of research that reveals some uncomfortable truths about how we tend to judge people.

On a practical level, machine learning technologies will increasingly become a part of all of our lives, and like many powerful tools they can and often will be used for good — including to make judgments based on data faster and fairer.

Machine learning can also be misused, often unintentionally. Such misuse tends to arise from an overly narrow focus on the technical problem, hence:

• Lack of insight into sources of bias in the training data;
• Lack of a careful review of existing research in the area, especially outside the field of machine learning;
• Not considering the various causal relationships that can produce a measured correlation;
• Not thinking through how the machine learning system might actually be used, and what societal effects that might have in practice.

Wu and Zhang’s paper illustrates all of the above traps. This is especially unfortunate given that the correlation they measure — assuming that it remains significant under more rigorous treatment — may actually be an important addition to the already significant body of research revealing pervasive bias in criminal judgment. Deep learning based on superficial features is decidedly not a tool that should be deployed to “accelerate” criminal justice; attempts to do so, like Faception’s, will instead perpetuate injustice."
blaiseaguerayarcas  physiognomy  2017  facerecognition  ai  artificialintelligence  machinelearning  racism  bias  xiaolinwu  xi  zhang  race  profiling  racialprofiling  giuseppevillella  cesarelombroso  pseudoscience  photography  chrononet  deeplearning  alexkrizhevsky  ilyasutskever  geoffreyhinton  gillevi  talhassner  alexnet  mugshots  objectivity  giambattistadellaporta  francisgalton  samuelnorton  josiahnott  georgegiddon  charlesdarwin  johnhoward  thomasclarkson  williamshakespeare  iscnewton  ernsthaeckel  scientificracism  jamesweidmann  faception  criminality  lawenforcement  faces  doothelange  mikeburton  trust  trustworthiness  stephenjaygould  philippafawcett  roberthughes  testosterone  gender  criminalclass  aggression  risk  riskassessment  judgement  brianholtz  shermanalexie  feedbackloops  identity  disability  ableism  disabilities 
may 2017 by robertogreco
Subject, Theory, Practice: An Architecture of Creative Engagement on Vimeo
“Tell me to what you pay attention and I will tell you who you are.” José Ortega y Gasset

A 'manifesto' for the curious architect/designer/artist in search of depth, but in love with plenty, in the saturated world of the 21st Century.

"In a world where grazing is the norm, in which the bitesize is the ideal that conflates ease of consumption with value, where yoghurts are increased in sales price by being reduced in size and packaged like medicines, downed in one gulp; in a world where choice is a democratic obligation that obliterates enjoyment, forced on consumers through the constant tasting, buying and trying of ever more gadgets; a world in which thoughts, concepts -entire lives- are fragmented into the instantaneous nothings of tweets and profile updates; it is in this world, where students of architecture graze Dezeen dot com and ArchDaily, hoovering up images in random succession with no method of differentiation or judgement, where architects -like everyone else- follow the dictum ‘what does not fit on the screen, won’t be seen’, where attentions rarely span longer than a minute, and architectural theory online has found the same formula as Danone’s Actimel (concepts downed in one gulp, delivered in no longer than 300 words!), conflating relevance with ease of consumption; it is in this world of exponentially multiplying inputs that we find ourselves looking at our work and asking ‘what is theory, and what is practice?’, and finding that whilst we yearn for the Modernist certainties of a body of work, of a lifelong ‘project’ in the context of a broader epoch-long ‘shared project’ on the one hand, and the ideas against which these projects can be critically tested on the other; we are actually embedded in an era in which any such oppositions, any such certainties have collapsed, and in which it is our duty –without nostalgia, but with bright eyes and bushy tails untainted by irony- to look for new relationships that can generate meaning, in a substantial manner, over the course of a professional life.

This film is a short section through this process from May 2012."

This montage film is based on a lecture delivered by Madam Studio in May of 2012 at Gent Sint-Lucas Hogeschool Voor Wetenschap & Kunst.

A Madam Studio Production by Adam Nathaniel Furman and Marco Ginex

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via:chrisberthelsen  joséortegaygasset  theory  architecture  cv  media  dezeen  archdaily  practice  nostalgia  actimel  marcoginex  2013  tcsnmy  understanding  iteration  darkmatter  certainty  postmodernism  modernism  philosophy  relationships  context  meaningmaking  meaning  lifelongproject  lcproject  openstudioproject  relevance  consumption  canon  streams  internet  filtering  audiencesofone  film  adamnathanielfurman  creativity  bricolage  consumerism  unschooling  deschooling  education  lifelonglearning  curation  curating  blogs  discourse  thinking  soundbites  eyecandy  order  chaos  messiness  ephemerality  ephemeral  grandnarratives  storytelling  hierarchies  hierarchy  authority  rebellion  criticism  frameofdebate  robertventuri  taste  aura  highbrow  lowbrow  waywards  narrative  anarchism  anarchy  feedback  feedbackloops  substance  values  self  thewho  thewhat  authenticity  fiction  discussion  openended  openendedstories  process  open-ended 
march 2013 by robertogreco
David Galbraith’s Blog » 5 principles of invisible web design
"1. Design for beneficial feedback loops
Beneficial feedback is the opposite of virality. A virus spreads but is harmful, something which is beneficial spreads precisely because it is valuable. Don’t design things to get more users, design things where the more use the more value and therefore the more users. Focus on the product and the business will come.

2. Design for incremental value
Create something where the more people use it the more value there is for each of them. This creates community.

3. Design for the primary use case.
Do one thing and do it well. There is no scarcity of resources in Internet land so a secondary use case can be a secondary product. The scarcity is attention, design for the principal thing that will engage people.

4. Design the personal.
…Design so that 30,000 people appear like 3.

5. Design recipes not visuals.
Achieve 1-4 with recipes not visual designs. A web design will have a specific flow and ingredients…"
visuals  attention  scarcity  incrementalvalue  value  feedbackloops  webdesign  web  design  2012  davidgalbraith  webdev 
october 2012 by robertogreco
"Tracking = Mindfulness

Proponents of habit design often work as if they have complete control of your environment. But they don’t. The secret defense for the chaos in your life is to develop mindfulness, or as one of our most successful friends says, “the ability to pay attention.” The universal tool for developing mindfulness is tracking. You could use a piece of paper, or, in August, you could use Lift.

Lift is a habit tracking tool, which has some pros and some cons. Mindfulness is one of the biggest pros…

Beyond Gamification

The feedback loops above evolved from an idea we had to gamify your life, which is a friendly way of making you as addicted to living a good life as you might be to playing video games or slot machines. We ended up dropping any semblance of gaming because we found the above feedback loops just as powerful and much more flexible."
habittracking  gamification  applications  iphone  goalsetting  goals  thepowerofhabits  habits  tracking  quantifiedself  feedbackloops  2012  mindfulness  obviouscorp  lift  ios 
june 2012 by robertogreco
One Time in a Card House with Stephanie Morgan… - Let’s Make Mistakes - Mule Radio Syndicate
"Stephanie Morgan, game producer to the game stars, stops in to chat with Mike and Katie about hot spots, self-flagellation, and not about casino buffets. When they have a few minutes, they discuss "gamification" in it's most meaningful as well as its most useless forms. Stephanie shares her past as a professional card player and some deep analysis of gameplay. This show rocks. As a bonus, Katie doesn't actually throw up in this episode, but Mike tries his hardest to instigate."

“I think twitter is a really interesting example of a very tightly honed game play loop.” [As pointed out here: ]
analytics  facebook  zynga  engagement  badges  incentives  feedback  gamedesign  feedbackloops  katiegillum  mikemonteiro  gameplay  gaming  games  twitter  gamification  stephaniemorgan 
march 2012 by robertogreco

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