Thoughtful, data-driven explorations
An Award-winning Data Visualization Designer
Visual Cinnamon | Data Visualization Design & Data Art | Data made insightful, effective & beautiful through data visualization and data art
GitHub - observablehq/plot: A concise API for exploratory data visualization implementing a layered grammar of graphics
A concise API for exploratory data visualization implementing a layered grammar of graphics - observablehq/plot
🌿 Foraging in High-Dimensional Data
My talk from the Diverse Intelligences Summer Institute 2025 on how we can draw from thinking in complex systems science and game design to heal our relationship to the Web.
Microsoft reveals findings from Project Natick, its experimental undersea datacenter
Introducing Observable Canvases
A new way to explore, visualize, and collaborate with data — all in one shared canvas.
On power, aesthetics, materiality and change in data visualization
Notes from the Information+ Conference at MIT/Northeastern University, Boston.
Observable Canvases | Explore and visualize data together
Observable’s collaborative data canvas helps you explore data, perform analysis, and build expressive charts and dashboards.
XBOX Labs | Let’s play with what’s next
Explore, experiment, and create what's next in play.
How to Research Tools for Thought
Calculating Empires: A Genealogy of Technology and Power since 1500
Explore how technical and social structures co-evolved over five centuries in this large-scale research visualization.
Spatial Data Science
Data science is concerned with finding answers to questions on the basis of available data, and communicating that effort. Besides showing the results, this communication involves sharing the data used, but also exposing the path that led to the answers in a comprehensive and reproducible way. It also acknowledges the fact that available data may not be sufficient to answer questions, and that any answers are conditional on the data collection or sampling protocols employed.
Large-Scale Study of Curiosity-Driven Learning
Burda*, Edwards*, Pathak* et.al. (* equal contribution, alphabetical order) Large-Scale Study of Curiosity-Driven Learning. 2018.
datasetpapers — a public research experiment
An experimental approach to versioned, forkable, machine-readable analyses. A prototype, not a product or service.
