- See Also
- Gwern
-
Links
- “Hypercomputation without Bothering the Cactus People: Software Development for the DMT Headspace”, Flipper 2024
- “Song Pong: Synchronizing Pong to Music With Constrained Optimization”, Tao 2024
- “How Colorful Ribbon Diagrams Became the Face of Proteins”
- “Rendering Protein Structures inside Cells at the Atomic Level With Unreal Engine”, Chen 2023
- “All Objects and Some Questions”, Lineweaver & Patel 2023
- “The Spinorial Ball: a Macroscopic Object of Spin-1/2”, Bernard-Bernardet et al 2023
- “The Specious Art of Single-Cell Genomics”, Chari & Pachter 2022
- “Misleading Graphs in Context: Less Misleading Than Expected”, Driessen et al 2022
- “Clock: 解説”
- “Fooled by Beautiful Data: Visualization Esthetics Bias Trust in Science, News, and Social Media”, Lin & Thornton 2022
- “The Science of Visual Data Communication: What Works”, Franconeri et al 2021
- “Can Humans Perform Mental Regression on a Graph? Accuracy and Bias in the Perception of Scatterplots”, Ciccione & Dehaene 2021
- “Truncating Bar Graphs Persistently Misleads Viewers”, Yang et al 2021d
- “Multimodal Neurons in Artificial Neural Networks [CLIP]”, Goh et al 2021
- “Visualizing MuZero Models”, Vries et al 2021
- “Understanding RL Vision: With Diverse Environments, We Can Analyze, Diagnose and Edit Deep Reinforcement Learning Models Using Attribution”, Hilton et al 2020
- “Questions About Trees”, Hayes 2020
- “When SimCity Got Serious: the Story of Maxis Business Simulations and SimRefinery”, Salvador 2020
- “Exploring Bayesian Optimization: Breaking Bayesian Optimization into Small, Sizeable Chunks”, Agnihotri & Batra 2020
- “Zoom In: An Introduction to Circuits—By Studying the Connections between Neurons, We Can Find Meaningful Algorithms in the Weights of Neural Networks”, Olah et al 2020
- “Growing Neural Cellular Automata: Differentiable Model of Morphogenesis”, Mordvintsev et al 2020
- “Visual Model Fit Estimation in Scatterplots and Distribution of Attention: Influence of Slope and Noise Level”, Reimann et al 2020
- “Unraveling the JPEG: JPEG Images Are Everywhere in Our Digital Lives, but behind the Veil of Familiarity Lie Algorithms That Remove Details That Are Imperceptible to the Human Eye. This Produces the Highest Visual Quality With the Smallest File Size—But What Does That Look Like? Let’s See What Our Eyes Can’t See!”, Shehata 2019
- “How Low Can You Go? Detecting Style in Extremely Low Resolution Images”, Searston et al 2019
- “On Binscatter”, Cattaneo et al 2019
- “Multi-Stage Bean Machine Visualization: Advantages of Repeated Optimization”, Kennedy & Gwern 2018
- “GAN Dissection: Visualizing and Understanding Generative Adversarial Networks”, Bau et al 2018
- “7 Weeks to Venice: History Through Isochronic Maps”
- “Why Scatter Plots Suggest Causality, and What We Can Do about It”, Bergstrom & West 2018
- “Raincloud Plots: a Multi-Platform Tool for Robust Data Visualization”, Allen et al 2018
- “The Simple but Ingenious System Taiwan Uses to Crowdsource Its Laws: VTaiwan Is a Promising Experiment in Participatory Governance. But Politics Is Blocking It from Getting Greater Traction”, Horton 2018
- “Good Sound, Good Research: How Audio Quality Influences Perceptions of the Research and Researcher”, Newman & Schwarz 2018
- “Sequence Modeling With CTC: A Visual Guide to Connectionist Temporal Classification, an Algorithm Used to Train Deep Neural Networks in Speech Recognition, Handwriting Recognition and Other Sequence Problems”, Hannun 2017
- “NIMA: Neural Image Assessment”, Talebi & Milanfar 2017
- “These Maps Reveal the Hidden Structures of Choose Your Own Adventure Books: If You Decide to See More, Click on This Story”, Laskow 2017
- “What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features”, Zhang et al 2017
- Atlas of Oblique Maps, King 2017
- “The Esthetic-Usability Effect”, Moran 2017
- “A Neural Network Playground”, Smilkov & Carter 2016
- “LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks”, Strobelt et al 2016
- “Visualizing and Understanding Recurrent Networks”, Karpathy et al 2015
- Elephas Anthropogenus, Westphal 2015
- “Reflections on How Designers Design With Data”, Bigelow et al 2014
- “Your Life in Weeks”, Why 2014
- “Neural Networks, Manifolds, and Topology”, Olah 2014
- “When Graphics Improve Liking but Not Learning from Online Lessons”, Sung & Mayer 2012
- “The Biological Basis of a Universal Constraint on Color Naming: Cone Contrasts and the Two-Way Categorization of Colors”, Xiao et al 2011
- “Explorable Explanations”, Victor 2011
- “The Snowflake Man of Vermont”, Heidorn 2011
- “Tomas Lopez’s Geographic Atlas of Spain in the Peninsular War: A Methodology for Determining Errors”, San-Antonio-Gómez et al 2011
- “Choose Your Own Adventure: One Book, Many Readings”, Swinehart 2009
- “Verbal Probability Expressions In National Intelligence Estimates: A Comprehensive Analysis Of Trends From The Fifties Through Post-9/11”, Kesselman 2008
- “The Architectural Relevance of Gordon Pask: Usman Haque Reviews the Contribution of Gordon Pask, the Resident Cybernetician on Cedric Price’s Fun Palace. He Describes Why in the 20 First Century the Work of This Early Proponent and Practitioner of Cybernetics Has Continued to Grow in Pertinence for Architects and Designers Interested in Interactivity”, Bettella 2007
- “A Systematic Review on Communicating With Patients about Evidence”, Trevena et al 2005
- “Distinguishing Real Vs. Fake Tiger Penises [Identification Guides for Wildlife Law Enforcement No. 6]”, Yates 2005
- “Sparkline Theory and Practice”, Tufte 2004
- “The Efficacy of the ‘Mind Map’ Study Technique”, Farrand et al 2002
- “Naked Objects: a Technique for Designing More Expressive Systems”, Pawson & Matthews 2001
- “What Do You Care What Other People Think § It’s As Simple As One, Two, Three”, Feynman 2001
- “SnowCrystals.com”, Libbrecht 1999
- “Feynman’s War: Modeling Weapons, Modeling Nature”, Galison 1998
- “Visual Explanations: Images and Quantities, Evidence and Narrative, Tufte 1997”, Tufte 1997
- “Knowledge of the Territory”, Revel 1991
- “Role of Color in Perception of Attractiveness”, Radeloff 1990
- “Envisioning Information: Chapter 5, ‘Color and Information’, Pg83-86 [On Oliver Byrne’s Color Diagram Version of Euclid’s Elements]”, Tufte 1990
- Atlas Of Oblique Maps: A Collection Of Landform Portrayals Of Selected Areas Of The World, Alpha et al 1988
- “Recent Works [Exploded-Diagram Sculptures]”, Peralta 2024
- “DLA—Diffusion Limited Aggregation”
- “Sculptures”, Abel 2024
- “The World’s First Code-Free Sparkline Typeface: Displaying Charts in Text without Having to Use Code”
- “GAN Dissection: Visualizing and Understanding Generative Adversarial Networks [Blog]”
- “We Need Visual Programming. No, Not like That.”
- “Visualizing Algorithms”
- “Seeing Centuries”, Andrews 2024
- “Attention and Augmented Recurrent Neural Networks”
- “Deconvolution and Checkerboard Artifacts”
- “Using Artificial Intelligence to Augment Human Intelligence”
- “Feature Visualization”
- “Why Momentum Really Works”
- “Research Debt”
- “Differentiable Image Parameterizations”
- “Activation Atlas”
- “A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features'”
- “A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Learning from Incorrectly Labeled Data”
- “Branch Specialization”
- “Differentiable Self-Organizing Systems”
- “Self-Classifying MNIST Digits”
- “Adversarial Reprogramming of Neural Cellular Automata”
- “Self-Organising Textures”
- “Crystal Ball Trading Challenge”, Wealth 2024
- “Explorable Explanations”
- “How to Visualize Data With Cartoonish Faces Ala Chernoff”
- “Gaussian Belief Propagation”
- “Beyond Weber’s Law: A Second Look at Ranking Visualizations of Correlation”
- “Forebruary Perpetual Calendar”
- “Hamiltonian Cycles on Ammann-Beenker Tilings”
- “ORBIS: The Stanford Geospatial Network Model of the Roman World”
- “Visualizing Bayes’ Theorem”
- “Agnes Giberne’s The Story of the Sun, Moon, and Stars”
- “Picturing a Voice: Margaret Watts Hughes and the Eidophone”
- “From Fire Hazards to Family Trees: The Sanborn Fire Insurance Maps”
- “StyleGAN for Evil: Trypophobia and Clockwork Oranging”
- Envisioning Information
- “New Look, Same Great Look”
- “Towards Moore’s Law Software: Part 3 of 3”
- “Visualization Series: Using Scatterplots and Models to Understand the Diamond Market (so You Don’t Get Ripped Off)”
- “Inside the Secret World of Russia’s Cold War Mapmakers”
- “The Soviet Military’s Eerily Detailed Guide to San Diego”
- “Star Timelapse Revealing the Earth’s Rotation”, Rivest 2024
- Sort By Magic
- Wikipedia
- Miscellaneous
- Bibliography
See Also
Gwern
“Statistical Notes”, Gwern 2014
Links
“Hypercomputation without Bothering the Cactus People: Software Development for the DMT Headspace”, Flipper 2024
Hypercomputation without bothering the cactus people: Software development for the DMT headspace
“Song Pong: Synchronizing Pong to Music With Constrained Optimization”, Tao 2024
Song Pong: Synchronizing Pong to music with constrained optimization
“How Colorful Ribbon Diagrams Became the Face of Proteins”
“Rendering Protein Structures inside Cells at the Atomic Level With Unreal Engine”, Chen 2023
Rendering protein structures inside cells at the atomic level with Unreal Engine
“All Objects and Some Questions”, Lineweaver & Patel 2023
“The Spinorial Ball: a Macroscopic Object of Spin-1/2”, Bernard-Bernardet et al 2023
“The Specious Art of Single-Cell Genomics”, Chari & Pachter 2022
“Misleading Graphs in Context: Less Misleading Than Expected”, Driessen et al 2022
“Clock: 解説”
“Fooled by Beautiful Data: Visualization Esthetics Bias Trust in Science, News, and Social Media”, Lin & Thornton 2022
Fooled by beautiful data: Visualization esthetics bias trust in science, news, and social media
“The Science of Visual Data Communication: What Works”, Franconeri et al 2021
“Can Humans Perform Mental Regression on a Graph? Accuracy and Bias in the Perception of Scatterplots”, Ciccione & Dehaene 2021
Can humans perform mental regression on a graph? Accuracy and bias in the perception of scatterplots
“Truncating Bar Graphs Persistently Misleads Viewers”, Yang et al 2021d
“Multimodal Neurons in Artificial Neural Networks [CLIP]”, Goh et al 2021
“Visualizing MuZero Models”, Vries et al 2021
“Understanding RL Vision: With Diverse Environments, We Can Analyze, Diagnose and Edit Deep Reinforcement Learning Models Using Attribution”, Hilton et al 2020
“Questions About Trees”, Hayes 2020
“When SimCity Got Serious: the Story of Maxis Business Simulations and SimRefinery”, Salvador 2020
When SimCity got serious: the story of Maxis Business Simulations and SimRefinery
“Exploring Bayesian Optimization: Breaking Bayesian Optimization into Small, Sizeable Chunks”, Agnihotri & Batra 2020
Exploring Bayesian Optimization: Breaking Bayesian Optimization into small, sizeable chunks
“Zoom In: An Introduction to Circuits—By Studying the Connections between Neurons, We Can Find Meaningful Algorithms in the Weights of Neural Networks”, Olah et al 2020
“Growing Neural Cellular Automata: Differentiable Model of Morphogenesis”, Mordvintsev et al 2020
Growing Neural Cellular Automata: Differentiable Model of Morphogenesis
“Visual Model Fit Estimation in Scatterplots and Distribution of Attention: Influence of Slope and Noise Level”, Reimann et al 2020
“Unraveling the JPEG: JPEG Images Are Everywhere in Our Digital Lives, but behind the Veil of Familiarity Lie Algorithms That Remove Details That Are Imperceptible to the Human Eye. This Produces the Highest Visual Quality With the Smallest File Size—But What Does That Look Like? Let’s See What Our Eyes Can’t See!”, Shehata 2019
“How Low Can You Go? Detecting Style in Extremely Low Resolution Images”, Searston et al 2019
How low can you go? Detecting style in extremely low resolution images
“On Binscatter”, Cattaneo et al 2019
“Multi-Stage Bean Machine Visualization: Advantages of Repeated Optimization”, Kennedy & Gwern 2018
Multi-Stage Bean Machine Visualization: Advantages of Repeated Optimization
“GAN Dissection: Visualizing and Understanding Generative Adversarial Networks”, Bau et al 2018
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
“7 Weeks to Venice: History Through Isochronic Maps”
“Why Scatter Plots Suggest Causality, and What We Can Do about It”, Bergstrom & West 2018
Why scatter plots suggest causality, and what we can do about it
“Raincloud Plots: a Multi-Platform Tool for Robust Data Visualization”, Allen et al 2018
Raincloud plots: a multi-platform tool for robust data visualization
“The Simple but Ingenious System Taiwan Uses to Crowdsource Its Laws: VTaiwan Is a Promising Experiment in Participatory Governance. But Politics Is Blocking It from Getting Greater Traction”, Horton 2018
“Good Sound, Good Research: How Audio Quality Influences Perceptions of the Research and Researcher”, Newman & Schwarz 2018
Good Sound, Good Research: How Audio Quality Influences Perceptions of the Research and Researcher
“Sequence Modeling With CTC: A Visual Guide to Connectionist Temporal Classification, an Algorithm Used to Train Deep Neural Networks in Speech Recognition, Handwriting Recognition and Other Sequence Problems”, Hannun 2017
“NIMA: Neural Image Assessment”, Talebi & Milanfar 2017
“These Maps Reveal the Hidden Structures of Choose Your Own Adventure Books: If You Decide to See More, Click on This Story”, Laskow 2017
“What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features”, Zhang et al 2017
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
Atlas of Oblique Maps, King 2017
“The Esthetic-Usability Effect”, Moran 2017
“A Neural Network Playground”, Smilkov & Carter 2016
“LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks”, Strobelt et al 2016
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
“Visualizing and Understanding Recurrent Networks”, Karpathy et al 2015
Elephas Anthropogenus, Westphal 2015
“Reflections on How Designers Design With Data”, Bigelow et al 2014
“Your Life in Weeks”, Why 2014
“Neural Networks, Manifolds, and Topology”, Olah 2014
“When Graphics Improve Liking but Not Learning from Online Lessons”, Sung & Mayer 2012
When graphics improve liking but not learning from online lessons
“The Biological Basis of a Universal Constraint on Color Naming: Cone Contrasts and the Two-Way Categorization of Colors”, Xiao et al 2011
“Explorable Explanations”, Victor 2011
“The Snowflake Man of Vermont”, Heidorn 2011
“Tomas Lopez’s Geographic Atlas of Spain in the Peninsular War: A Methodology for Determining Errors”, San-Antonio-Gómez et al 2011
Tomas Lopez’s Geographic Atlas of Spain in the Peninsular War: A Methodology for Determining Errors:
“Choose Your Own Adventure: One Book, Many Readings”, Swinehart 2009
“Verbal Probability Expressions In National Intelligence Estimates: A Comprehensive Analysis Of Trends From The Fifties Through Post-9/11”, Kesselman 2008
“The Architectural Relevance of Gordon Pask: Usman Haque Reviews the Contribution of Gordon Pask, the Resident Cybernetician on Cedric Price’s Fun Palace. He Describes Why in the 20 First Century the Work of This Early Proponent and Practitioner of Cybernetics Has Continued to Grow in Pertinence for Architects and Designers Interested in Interactivity”, Bettella 2007
View PDF:
“A Systematic Review on Communicating With Patients about Evidence”, Trevena et al 2005
A systematic review on communicating with patients about evidence
“Distinguishing Real Vs. Fake Tiger Penises [Identification Guides for Wildlife Law Enforcement No. 6]”, Yates 2005
“Sparkline Theory and Practice”, Tufte 2004
“The Efficacy of the ‘Mind Map’ Study Technique”, Farrand et al 2002
“Naked Objects: a Technique for Designing More Expressive Systems”, Pawson & Matthews 2001
Naked objects: a technique for designing more expressive systems
“What Do You Care What Other People Think § It’s As Simple As One, Two, Three”, Feynman 2001
What Do You Care What Other People Think § It’s as Simple as One, Two, Three
“SnowCrystals.com”, Libbrecht 1999
“Feynman’s War: Modeling Weapons, Modeling Nature”, Galison 1998
“Visual Explanations: Images and Quantities, Evidence and Narrative, Tufte 1997”, Tufte 1997
Visual Explanations: Images and Quantities, Evidence and Narrative, Tufte 1997
“Knowledge of the Territory”, Revel 1991
“Role of Color in Perception of Attractiveness”, Radeloff 1990
“Envisioning Information: Chapter 5, ‘Color and Information’, Pg83-86 [On Oliver Byrne’s Color Diagram Version of Euclid’s Elements]”, Tufte 1990
Atlas Of Oblique Maps: A Collection Of Landform Portrayals Of Selected Areas Of The World, Alpha et al 1988
Atlas Of Oblique Maps: A Collection Of Landform Portrayals Of Selected Areas Of The World
“Recent Works [Exploded-Diagram Sculptures]”, Peralta 2024
“DLA—Diffusion Limited Aggregation”
“Sculptures”, Abel 2024
“The World’s First Code-Free Sparkline Typeface: Displaying Charts in Text without Having to Use Code”
The world’s first code-free sparkline typeface: Displaying charts in text without having to use code
“GAN Dissection: Visualizing and Understanding Generative Adversarial Networks [Blog]”
GAN dissection: visualizing and understanding generative adversarial networks [blog]
“We Need Visual Programming. No, Not like That.”
“Visualizing Algorithms”
“Seeing Centuries”, Andrews 2024
“Attention and Augmented Recurrent Neural Networks”
“Deconvolution and Checkerboard Artifacts”
“Using Artificial Intelligence to Augment Human Intelligence”
Using Artificial Intelligence to Augment Human Intelligence:
View External Link:
“Feature Visualization”
View External Link:
https://distill.pub/2017/feature-visualization/#frequency-artifacts
“Why Momentum Really Works”
“Research Debt”
View External Link:
“Differentiable Image Parameterizations”
“Activation Atlas”
View External Link:
“A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features'”
A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features':
View External Link:
“A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features': Learning from Incorrectly Labeled Data”
View External Link:
“Branch Specialization”
“Differentiable Self-Organizing Systems”
Differentiable Self-organizing Systems:
View External Link:
“Self-Classifying MNIST Digits”
Self-classifying MNIST Digits:
View External Link:
“Adversarial Reprogramming of Neural Cellular Automata”
Adversarial Reprogramming of Neural Cellular Automata:
View External Link:
“Self-Organising Textures”
View External Link:
“Crystal Ball Trading Challenge”, Wealth 2024
“Explorable Explanations”
View External Link:
“How to Visualize Data With Cartoonish Faces Ala Chernoff”
“Gaussian Belief Propagation”
View External Link:
“Beyond Weber’s Law: A Second Look at Ranking Visualizations of Correlation”
Beyond Weber’s Law: A Second Look at Ranking Visualizations of Correlation:
“Forebruary Perpetual Calendar”
“Hamiltonian Cycles on Ammann-Beenker Tilings”
“ORBIS: The Stanford Geospatial Network Model of the Roman World”
ORBIS: The Stanford Geospatial Network Model of the Roman World
“Visualizing Bayes’ Theorem”
“Agnes Giberne’s The Story of the Sun, Moon, and Stars”
“Picturing a Voice: Margaret Watts Hughes and the Eidophone”
“From Fire Hazards to Family Trees: The Sanborn Fire Insurance Maps”
From Fire Hazards to Family Trees: The Sanborn Fire Insurance Maps
“StyleGAN for Evil: Trypophobia and Clockwork Oranging”
Envisioning Information
“New Look, Same Great Look”
“Towards Moore’s Law Software: Part 3 of 3”
“Visualization Series: Using Scatterplots and Models to Understand the Diamond Market (so You Don’t Get Ripped Off)”
“Inside the Secret World of Russia’s Cold War Mapmakers”
Inside the Secret World of Russia’s Cold War Mapmakers:
View HTML (29MB):
/doc/www/www.wired.com/c9dc88246f5addcf8f4eb04c63409625d8e60dff.html
“The Soviet Military’s Eerily Detailed Guide to San Diego”
“Star Timelapse Revealing the Earth’s Rotation”, Rivest 2024
Sort By Magic
Annotations sorted by machine learning into inferred 'tags'. This provides an alternative way to browse: instead of by date order, one can browse in topic order. The 'sorted' list has been automatically clustered into multiple sections & auto-labeled for easier browsing.
Beginning with the newest annotation, it uses the embedding of each annotation to attempt to create a list of nearest-neighbor annotations, creating a progression of topics. For more details, see the link.
participatory-governance
visualization-methods
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data-interpretation
Wikipedia
Miscellaneous
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/doc/design/visualization/2018-allen-figure3-exampleraincloudplotdatavisualization.jpg: -
/doc/design/visualization/2018-newman-figure1-conferencetalkshighvslowaudioquality.jpg: -
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https://animatedai.github.io/:View External Link:
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https://arcadeblogger.com/2016/07/15/atari-tempest-photography/ -
https://blog.datawrapper.de/roman-roads-tabula-peutingeriana/: -
https://kieranhealy.org/blog/archives/2015/06/12/americas-ur-choropleths/ -
https://publicdomainreview.org/collection/concealing-coloration -
https://publicdomainreview.org/collection/manhattans-last-arcadia -
https://publicdomainreview.org/collection/synaesthesia-diagrams-1883 -
https://publicdomainreview.org/essay/anna-atkins-cyanotypes/ -
https://publicdomainreview.org/essay/darwins-diagrams-of-plant-movement -
https://pudding.cool/2018/08/wiki-death/:View External Link:
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https://sandrarendgen.wordpress.com/2019/03/15/data-trails-from-paris-with-love/: -
https://tex.stackexchange.com/questions/158668/nice-scientific-pictures-show-off/159402#159402 -
https://thepalindrome.org/p/how-does-the-japanese-multiplication-work -
https://weblog.jamisbuck.org/2011/2/7/maze-generation-algorithm-recap.html -
https://www.atlasobscura.com/articles/flying-circus-aerial-maps -
https://www.atlasobscura.com/articles/invasive-moths-trouvelot-astronomical-illustrations -
https://www.audubon.org/news/how-xavi-bou-makes-his-mesmerizing-portraits-birds-flight: -
https://www.cs.ucr.edu/~eamonn/Keogh_SIGKDD09_tutorial.pdf#page=124: -
https://www.eveonline.com/news/view/information-is-power-excel-release -
https://www.neh.gov/article/joseph-priestley-created-revolutionary-maps-time: -
https://www.nytimes.com/interactive/2023/04/26/upshot/gpt-from-scratch.html -
https://www.quantamagazine.org/amateur-mathematicians-find-fifth-busy-beaver-turing-machine-20240702 -
https://www.spoon-tamago.com/animated-gifs-illustrating-the-art-of-japanese-wood-joinery/ -
https://www.technologyreview.com/2023/08/11/1077232/corporate-presentations-history -
View External Link:
Bibliography
-
https://osf.io/preprints/psyarxiv/dnr9s/: “Fooled by Beautiful Data: Visualization Esthetics Bias Trust in Science, News, and Social Media”, -
2021-ciccione.pdf: “Can Humans Perform Mental Regression on a Graph? Accuracy and Bias in the Perception of Scatterplots”, -
https://distill.pub/2021/multimodal-neurons/#openai: “Multimodal Neurons in Artificial Neural Networks [CLIP]”, -
https://arxiv.org/abs/2102.12924: “Visualizing MuZero Models”, -
https://www.technologyreview.com/2018/08/21/240284/the-simple-but-ingenious-system-taiwan-uses-to-crowdsource-its-laws/: “The Simple but Ingenious System Taiwan Uses to Crowdsource Its Laws: VTaiwan Is a Promising Experiment in Participatory Governance. But Politics Is Blocking It from Getting Greater Traction”, -
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2976021: “What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features”, -
2001-pawson.pdf: “Naked Objects: a Technique for Designing More Expressive Systems”, -
1990-tufte-envisioninginformation-ch5-byrneseuclid.pdf: “Envisioning Information: Chapter 5, ‘Color and Information’, Pg83-86 [On Oliver Byrne’s Color Diagram Version of Euclid’s Elements]”,